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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.bigquery/v2.Job

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Starts a new asynchronous job. Requires the Can View project role. Auto-naming is currently not supported for this resource.

    Create Job Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Job(name: string, args?: JobArgs, opts?: CustomResourceOptions);
    @overload
def Job(resource_name: str,
        args: Optional[JobArgs] = None,
        opts: Optional[ResourceOptions] = None)

@overload
def Job(resource_name: str,
        opts: Optional[ResourceOptions] = None,
        configuration: Optional[JobConfigurationArgs] = None,
        job_reference: Optional[JobReferenceArgs] = None,
        project: Optional[str] = None,
        source: Optional[Union[pulumi.Asset, pulumi.Archive]] = None)
    func NewJob(ctx *Context, name string, args *JobArgs, opts ...ResourceOption) (*Job, error)
    public Job(string name, JobArgs? args = null, CustomResourceOptions? opts = null)
    public Job(String name, JobArgs args)
public Job(String name, JobArgs args, CustomResourceOptions options)

    type: google-native:bigquery/v2:Job
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args JobArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args JobArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args JobArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args JobArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args JobArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var google_nativeJobResource = new GoogleNative.BigQuery.V2.Job("google-nativeJobResource", new()
{
    Configuration = new GoogleNative.BigQuery.V2.Inputs.JobConfigurationArgs
    {
        Copy = new GoogleNative.BigQuery.V2.Inputs.JobConfigurationTableCopyArgs
        {
            CreateDisposition = "string",
            DestinationEncryptionConfiguration = new GoogleNative.BigQuery.V2.Inputs.EncryptionConfigurationArgs
            {
                KmsKeyName = "string",
            },
            DestinationExpirationTime = "any",
            DestinationTable = new GoogleNative.BigQuery.V2.Inputs.TableReferenceArgs
            {
                DatasetId = "string",
                Project = "string",
                TableId = "string",
            },
            OperationType = "string",
            SourceTable = new GoogleNative.BigQuery.V2.Inputs.TableReferenceArgs
            {
                DatasetId = "string",
                Project = "string",
                TableId = "string",
            },
            SourceTables = new[]
            {
                new GoogleNative.BigQuery.V2.Inputs.TableReferenceArgs
                {
                    DatasetId = "string",
                    Project = "string",
                    TableId = "string",
                },
            },
            WriteDisposition = "string",
        },
        DryRun = false,
        Extract = new GoogleNative.BigQuery.V2.Inputs.JobConfigurationExtractArgs
        {
            Compression = "string",
            DestinationFormat = "string",
            DestinationUri = "string",
            DestinationUris = new[]
            {
                "string",
            },
            FieldDelimiter = "string",
            PrintHeader = false,
            SourceModel = new GoogleNative.BigQuery.V2.Inputs.ModelReferenceArgs
            {
                DatasetId = "string",
                ModelId = "string",
                Project = "string",
            },
            SourceTable = new GoogleNative.BigQuery.V2.Inputs.TableReferenceArgs
            {
                DatasetId = "string",
                Project = "string",
                TableId = "string",
            },
            UseAvroLogicalTypes = false,
        },
        JobTimeoutMs = "string",
        Labels = 
        {
            { "string", "string" },
        },
        Load = new GoogleNative.BigQuery.V2.Inputs.JobConfigurationLoadArgs
        {
            AllowJaggedRows = false,
            AllowQuotedNewlines = false,
            Autodetect = false,
            Clustering = new GoogleNative.BigQuery.V2.Inputs.ClusteringArgs
            {
                Fields = new[]
                {
                    "string",
                },
            },
            ConnectionProperties = new[]
            {
                new GoogleNative.BigQuery.V2.Inputs.ConnectionPropertyArgs
                {
                    Key = "string",
                    Value = "string",
                },
            },
            CreateDisposition = "string",
            CreateSession = false,
            DecimalTargetTypes = new[]
            {
                "string",
            },
            DestinationEncryptionConfiguration = new GoogleNative.BigQuery.V2.Inputs.EncryptionConfigurationArgs
            {
                KmsKeyName = "string",
            },
            DestinationTable = new GoogleNative.BigQuery.V2.Inputs.TableReferenceArgs
            {
                DatasetId = "string",
                Project = "string",
                TableId = "string",
            },
            DestinationTableProperties = new GoogleNative.BigQuery.V2.Inputs.DestinationTablePropertiesArgs
            {
                Description = "string",
                ExpirationTime = "string",
                FriendlyName = "string",
                Labels = 
                {
                    { "string", "string" },
                },
            },
            Encoding = "string",
            FieldDelimiter = "string",
            FileSetSpecType = "string",
            HivePartitioningOptions = new GoogleNative.BigQuery.V2.Inputs.HivePartitioningOptionsArgs
            {
                Mode = "string",
                RequirePartitionFilter = false,
                SourceUriPrefix = "string",
            },
            IgnoreUnknownValues = false,
            JsonExtension = "string",
            MaxBadRecords = 0,
            NullMarker = "string",
            ParquetOptions = new GoogleNative.BigQuery.V2.Inputs.ParquetOptionsArgs
            {
                EnableListInference = false,
                EnumAsString = false,
            },
            PreserveAsciiControlCharacters = false,
            ProjectionFields = new[]
            {
                "string",
            },
            Quote = "string",
            RangePartitioning = new GoogleNative.BigQuery.V2.Inputs.RangePartitioningArgs
            {
                Field = "string",
                Range = new GoogleNative.BigQuery.V2.Inputs.RangePartitioningRangeArgs
                {
                    End = "string",
                    Interval = "string",
                    Start = "string",
                },
            },
            ReferenceFileSchemaUri = "string",
            Schema = new GoogleNative.BigQuery.V2.Inputs.TableSchemaArgs
            {
                Fields = new[]
                {
                    new GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaArgs
                    {
                        Categories = new GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaCategoriesArgs
                        {
                            Names = new[]
                            {
                                "string",
                            },
                        },
                        Collation = "string",
                        DefaultValueExpression = "string",
                        Description = "string",
                        Fields = new[]
                        {
                            tableFieldSchema,
                        },
                        MaxLength = "string",
                        Mode = "string",
                        Name = "string",
                        PolicyTags = new GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaPolicyTagsArgs
                        {
                            Names = new[]
                            {
                                "string",
                            },
                        },
                        Precision = "string",
                        RangeElementType = new GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaRangeElementTypeArgs
                        {
                            Type = "string",
                        },
                        RoundingMode = "string",
                        Scale = "string",
                        Type = "string",
                    },
                },
            },
            SchemaUpdateOptions = new[]
            {
                "string",
            },
            SkipLeadingRows = 0,
            SourceFormat = "string",
            SourceUris = new[]
            {
                "string",
            },
            TimePartitioning = new GoogleNative.BigQuery.V2.Inputs.TimePartitioningArgs
            {
                ExpirationMs = "string",
                Field = "string",
                RequirePartitionFilter = false,
                Type = "string",
            },
            UseAvroLogicalTypes = false,
            WriteDisposition = "string",
        },
        Query = new GoogleNative.BigQuery.V2.Inputs.JobConfigurationQueryArgs
        {
            AllowLargeResults = false,
            Clustering = new GoogleNative.BigQuery.V2.Inputs.ClusteringArgs
            {
                Fields = new[]
                {
                    "string",
                },
            },
            ConnectionProperties = new[]
            {
                new GoogleNative.BigQuery.V2.Inputs.ConnectionPropertyArgs
                {
                    Key = "string",
                    Value = "string",
                },
            },
            Continuous = false,
            CreateDisposition = "string",
            CreateSession = false,
            DefaultDataset = new GoogleNative.BigQuery.V2.Inputs.DatasetReferenceArgs
            {
                DatasetId = "string",
                Project = "string",
            },
            DestinationEncryptionConfiguration = new GoogleNative.BigQuery.V2.Inputs.EncryptionConfigurationArgs
            {
                KmsKeyName = "string",
            },
            DestinationTable = new GoogleNative.BigQuery.V2.Inputs.TableReferenceArgs
            {
                DatasetId = "string",
                Project = "string",
                TableId = "string",
            },
            FlattenResults = false,
            MaximumBillingTier = 0,
            MaximumBytesBilled = "string",
            ParameterMode = "string",
            Priority = "string",
            Query = "string",
            QueryParameters = new[]
            {
                new GoogleNative.BigQuery.V2.Inputs.QueryParameterArgs
                {
                    Name = "string",
                    ParameterType = new GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeArgs
                    {
                        ArrayType = queryParameterType,
                        StructTypes = new[]
                        {
                            new GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeStructTypesItemArgs
                            {
                                Description = "string",
                                Name = "string",
                                Type = queryParameterType,
                            },
                        },
                        Type = "string",
                    },
                    ParameterValue = new GoogleNative.BigQuery.V2.Inputs.QueryParameterValueArgs
                    {
                        ArrayValues = new[]
                        {
                            queryParameterValue,
                        },
                        StructValues = 
                        {
                            { "string", "string" },
                        },
                        Value = "string",
                    },
                },
            },
            RangePartitioning = new GoogleNative.BigQuery.V2.Inputs.RangePartitioningArgs
            {
                Field = "string",
                Range = new GoogleNative.BigQuery.V2.Inputs.RangePartitioningRangeArgs
                {
                    End = "string",
                    Interval = "string",
                    Start = "string",
                },
            },
            SchemaUpdateOptions = new[]
            {
                "string",
            },
            TableDefinitions = 
            {
                { "string", "string" },
            },
            TimePartitioning = new GoogleNative.BigQuery.V2.Inputs.TimePartitioningArgs
            {
                ExpirationMs = "string",
                Field = "string",
                RequirePartitionFilter = false,
                Type = "string",
            },
            UseLegacySql = false,
            UseQueryCache = false,
            UserDefinedFunctionResources = new[]
            {
                new GoogleNative.BigQuery.V2.Inputs.UserDefinedFunctionResourceArgs
                {
                    InlineCode = "string",
                    ResourceUri = "string",
                },
            },
            WriteDisposition = "string",
        },
    },
    JobReference = new GoogleNative.BigQuery.V2.Inputs.JobReferenceArgs
    {
        JobId = "string",
        Location = "string",
        Project = "string",
    },
    Project = "string",
    Source = new StringAsset("content"),
});

    example, err := bigquery.NewJob(ctx, "google-nativeJobResource", &bigquery.JobArgs{
	Configuration: &bigquery.JobConfigurationArgs{
		Copy: &bigquery.JobConfigurationTableCopyArgs{
			CreateDisposition: pulumi.String("string"),
			DestinationEncryptionConfiguration: &bigquery.EncryptionConfigurationArgs{
				KmsKeyName: pulumi.String("string"),
			},
			DestinationExpirationTime: pulumi.Any("any"),
			DestinationTable: &bigquery.TableReferenceArgs{
				DatasetId: pulumi.String("string"),
				Project:   pulumi.String("string"),
				TableId:   pulumi.String("string"),
			},
			OperationType: pulumi.String("string"),
			SourceTable: &bigquery.TableReferenceArgs{
				DatasetId: pulumi.String("string"),
				Project:   pulumi.String("string"),
				TableId:   pulumi.String("string"),
			},
			SourceTables: bigquery.TableReferenceArray{
				&bigquery.TableReferenceArgs{
					DatasetId: pulumi.String("string"),
					Project:   pulumi.String("string"),
					TableId:   pulumi.String("string"),
				},
			},
			WriteDisposition: pulumi.String("string"),
		},
		DryRun: pulumi.Bool(false),
		Extract: &bigquery.JobConfigurationExtractArgs{
			Compression:       pulumi.String("string"),
			DestinationFormat: pulumi.String("string"),
			DestinationUri:    pulumi.String("string"),
			DestinationUris: pulumi.StringArray{
				pulumi.String("string"),
			},
			FieldDelimiter: pulumi.String("string"),
			PrintHeader:    pulumi.Bool(false),
			SourceModel: &bigquery.ModelReferenceArgs{
				DatasetId: pulumi.String("string"),
				ModelId:   pulumi.String("string"),
				Project:   pulumi.String("string"),
			},
			SourceTable: &bigquery.TableReferenceArgs{
				DatasetId: pulumi.String("string"),
				Project:   pulumi.String("string"),
				TableId:   pulumi.String("string"),
			},
			UseAvroLogicalTypes: pulumi.Bool(false),
		},
		JobTimeoutMs: pulumi.String("string"),
		Labels: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		Load: &bigquery.JobConfigurationLoadArgs{
			AllowJaggedRows:     pulumi.Bool(false),
			AllowQuotedNewlines: pulumi.Bool(false),
			Autodetect:          pulumi.Bool(false),
			Clustering: &bigquery.ClusteringArgs{
				Fields: pulumi.StringArray{
					pulumi.String("string"),
				},
			},
			ConnectionProperties: bigquery.ConnectionPropertyArray{
				&bigquery.ConnectionPropertyArgs{
					Key:   pulumi.String("string"),
					Value: pulumi.String("string"),
				},
			},
			CreateDisposition: pulumi.String("string"),
			CreateSession:     pulumi.Bool(false),
			DecimalTargetTypes: pulumi.StringArray{
				pulumi.String("string"),
			},
			DestinationEncryptionConfiguration: &bigquery.EncryptionConfigurationArgs{
				KmsKeyName: pulumi.String("string"),
			},
			DestinationTable: &bigquery.TableReferenceArgs{
				DatasetId: pulumi.String("string"),
				Project:   pulumi.String("string"),
				TableId:   pulumi.String("string"),
			},
			DestinationTableProperties: &bigquery.DestinationTablePropertiesArgs{
				Description:    pulumi.String("string"),
				ExpirationTime: pulumi.String("string"),
				FriendlyName:   pulumi.String("string"),
				Labels: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Encoding:        pulumi.String("string"),
			FieldDelimiter:  pulumi.String("string"),
			FileSetSpecType: pulumi.String("string"),
			HivePartitioningOptions: &bigquery.HivePartitioningOptionsArgs{
				Mode:                   pulumi.String("string"),
				RequirePartitionFilter: pulumi.Bool(false),
				SourceUriPrefix:        pulumi.String("string"),
			},
			IgnoreUnknownValues: pulumi.Bool(false),
			JsonExtension:       pulumi.String("string"),
			MaxBadRecords:       pulumi.Int(0),
			NullMarker:          pulumi.String("string"),
			ParquetOptions: &bigquery.ParquetOptionsArgs{
				EnableListInference: pulumi.Bool(false),
				EnumAsString:        pulumi.Bool(false),
			},
			PreserveAsciiControlCharacters: pulumi.Bool(false),
			ProjectionFields: pulumi.StringArray{
				pulumi.String("string"),
			},
			Quote: pulumi.String("string"),
			RangePartitioning: &bigquery.RangePartitioningArgs{
				Field: pulumi.String("string"),
				Range: &bigquery.RangePartitioningRangeArgs{
					End:      pulumi.String("string"),
					Interval: pulumi.String("string"),
					Start:    pulumi.String("string"),
				},
			},
			ReferenceFileSchemaUri: pulumi.String("string"),
			Schema: &bigquery.TableSchemaArgs{
				Fields: bigquery.TableFieldSchemaArray{
					&bigquery.TableFieldSchemaArgs{
						Categories: &bigquery.TableFieldSchemaCategoriesArgs{
							Names: pulumi.StringArray{
								pulumi.String("string"),
							},
						},
						Collation:              pulumi.String("string"),
						DefaultValueExpression: pulumi.String("string"),
						Description:            pulumi.String("string"),
						Fields: bigquery.TableFieldSchemaArray{
							tableFieldSchema,
						},
						MaxLength: pulumi.String("string"),
						Mode:      pulumi.String("string"),
						Name:      pulumi.String("string"),
						PolicyTags: &bigquery.TableFieldSchemaPolicyTagsArgs{
							Names: pulumi.StringArray{
								pulumi.String("string"),
							},
						},
						Precision: pulumi.String("string"),
						RangeElementType: &bigquery.TableFieldSchemaRangeElementTypeArgs{
							Type: pulumi.String("string"),
						},
						RoundingMode: pulumi.String("string"),
						Scale:        pulumi.String("string"),
						Type:         pulumi.String("string"),
					},
				},
			},
			SchemaUpdateOptions: pulumi.StringArray{
				pulumi.String("string"),
			},
			SkipLeadingRows: pulumi.Int(0),
			SourceFormat:    pulumi.String("string"),
			SourceUris: pulumi.StringArray{
				pulumi.String("string"),
			},
			TimePartitioning: &bigquery.TimePartitioningArgs{
				ExpirationMs:           pulumi.String("string"),
				Field:                  pulumi.String("string"),
				RequirePartitionFilter: pulumi.Bool(false),
				Type:                   pulumi.String("string"),
			},
			UseAvroLogicalTypes: pulumi.Bool(false),
			WriteDisposition:    pulumi.String("string"),
		},
		Query: &bigquery.JobConfigurationQueryArgs{
			AllowLargeResults: pulumi.Bool(false),
			Clustering: &bigquery.ClusteringArgs{
				Fields: pulumi.StringArray{
					pulumi.String("string"),
				},
			},
			ConnectionProperties: bigquery.ConnectionPropertyArray{
				&bigquery.ConnectionPropertyArgs{
					Key:   pulumi.String("string"),
					Value: pulumi.String("string"),
				},
			},
			Continuous:        pulumi.Bool(false),
			CreateDisposition: pulumi.String("string"),
			CreateSession:     pulumi.Bool(false),
			DefaultDataset: &bigquery.DatasetReferenceArgs{
				DatasetId: pulumi.String("string"),
				Project:   pulumi.String("string"),
			},
			DestinationEncryptionConfiguration: &bigquery.EncryptionConfigurationArgs{
				KmsKeyName: pulumi.String("string"),
			},
			DestinationTable: &bigquery.TableReferenceArgs{
				DatasetId: pulumi.String("string"),
				Project:   pulumi.String("string"),
				TableId:   pulumi.String("string"),
			},
			FlattenResults:     pulumi.Bool(false),
			MaximumBillingTier: pulumi.Int(0),
			MaximumBytesBilled: pulumi.String("string"),
			ParameterMode:      pulumi.String("string"),
			Priority:           pulumi.String("string"),
			Query:              pulumi.String("string"),
			QueryParameters: bigquery.QueryParameterArray{
				&bigquery.QueryParameterArgs{
					Name: pulumi.String("string"),
					ParameterType: &bigquery.QueryParameterTypeArgs{
						ArrayType: pulumi.Any(queryParameterType),
						StructTypes: bigquery.QueryParameterTypeStructTypesItemArray{
							&bigquery.QueryParameterTypeStructTypesItemArgs{
								Description: pulumi.String("string"),
								Name:        pulumi.String("string"),
								Type:        pulumi.Any(queryParameterType),
							},
						},
						Type: pulumi.String("string"),
					},
					ParameterValue: &bigquery.QueryParameterValueArgs{
						ArrayValues: bigquery.QueryParameterValueArray{
							queryParameterValue,
						},
						StructValues: pulumi.StringMap{
							"string": pulumi.String("string"),
						},
						Value: pulumi.String("string"),
					},
				},
			},
			RangePartitioning: &bigquery.RangePartitioningArgs{
				Field: pulumi.String("string"),
				Range: &bigquery.RangePartitioningRangeArgs{
					End:      pulumi.String("string"),
					Interval: pulumi.String("string"),
					Start:    pulumi.String("string"),
				},
			},
			SchemaUpdateOptions: pulumi.StringArray{
				pulumi.String("string"),
			},
			TableDefinitions: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
			TimePartitioning: &bigquery.TimePartitioningArgs{
				ExpirationMs:           pulumi.String("string"),
				Field:                  pulumi.String("string"),
				RequirePartitionFilter: pulumi.Bool(false),
				Type:                   pulumi.String("string"),
			},
			UseLegacySql:  pulumi.Bool(false),
			UseQueryCache: pulumi.Bool(false),
			UserDefinedFunctionResources: bigquery.UserDefinedFunctionResourceArray{
				&bigquery.UserDefinedFunctionResourceArgs{
					InlineCode:  pulumi.String("string"),
					ResourceUri: pulumi.String("string"),
				},
			},
			WriteDisposition: pulumi.String("string"),
		},
	},
	JobReference: &bigquery.JobReferenceArgs{
		JobId:    pulumi.String("string"),
		Location: pulumi.String("string"),
		Project:  pulumi.String("string"),
	},
	Project: pulumi.String("string"),
	Source:  pulumi.NewStringAsset("content"),
})

    var google_nativeJobResource = new Job("google-nativeJobResource", JobArgs.builder()
    .configuration(JobConfigurationArgs.builder()
        .copy(JobConfigurationTableCopyArgs.builder()
            .createDisposition("string")
            .destinationEncryptionConfiguration(EncryptionConfigurationArgs.builder()
                .kmsKeyName("string")
                .build())
            .destinationExpirationTime("any")
            .destinationTable(TableReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .tableId("string")
                .build())
            .operationType("string")
            .sourceTable(TableReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .tableId("string")
                .build())
            .sourceTables(TableReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .tableId("string")
                .build())
            .writeDisposition("string")
            .build())
        .dryRun(false)
        .extract(JobConfigurationExtractArgs.builder()
            .compression("string")
            .destinationFormat("string")
            .destinationUri("string")
            .destinationUris("string")
            .fieldDelimiter("string")
            .printHeader(false)
            .sourceModel(ModelReferenceArgs.builder()
                .datasetId("string")
                .modelId("string")
                .project("string")
                .build())
            .sourceTable(TableReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .tableId("string")
                .build())
            .useAvroLogicalTypes(false)
            .build())
        .jobTimeoutMs("string")
        .labels(Map.of("string", "string"))
        .load(JobConfigurationLoadArgs.builder()
            .allowJaggedRows(false)
            .allowQuotedNewlines(false)
            .autodetect(false)
            .clustering(ClusteringArgs.builder()
                .fields("string")
                .build())
            .connectionProperties(ConnectionPropertyArgs.builder()
                .key("string")
                .value("string")
                .build())
            .createDisposition("string")
            .createSession(false)
            .decimalTargetTypes("string")
            .destinationEncryptionConfiguration(EncryptionConfigurationArgs.builder()
                .kmsKeyName("string")
                .build())
            .destinationTable(TableReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .tableId("string")
                .build())
            .destinationTableProperties(DestinationTablePropertiesArgs.builder()
                .description("string")
                .expirationTime("string")
                .friendlyName("string")
                .labels(Map.of("string", "string"))
                .build())
            .encoding("string")
            .fieldDelimiter("string")
            .fileSetSpecType("string")
            .hivePartitioningOptions(HivePartitioningOptionsArgs.builder()
                .mode("string")
                .requirePartitionFilter(false)
                .sourceUriPrefix("string")
                .build())
            .ignoreUnknownValues(false)
            .jsonExtension("string")
            .maxBadRecords(0)
            .nullMarker("string")
            .parquetOptions(ParquetOptionsArgs.builder()
                .enableListInference(false)
                .enumAsString(false)
                .build())
            .preserveAsciiControlCharacters(false)
            .projectionFields("string")
            .quote("string")
            .rangePartitioning(RangePartitioningArgs.builder()
                .field("string")
                .range(RangePartitioningRangeArgs.builder()
                    .end("string")
                    .interval("string")
                    .start("string")
                    .build())
                .build())
            .referenceFileSchemaUri("string")
            .schema(TableSchemaArgs.builder()
                .fields(TableFieldSchemaArgs.builder()
                    .categories(TableFieldSchemaCategoriesArgs.builder()
                        .names("string")
                        .build())
                    .collation("string")
                    .defaultValueExpression("string")
                    .description("string")
                    .fields(tableFieldSchema)
                    .maxLength("string")
                    .mode("string")
                    .name("string")
                    .policyTags(TableFieldSchemaPolicyTagsArgs.builder()
                        .names("string")
                        .build())
                    .precision("string")
                    .rangeElementType(TableFieldSchemaRangeElementTypeArgs.builder()
                        .type("string")
                        .build())
                    .roundingMode("string")
                    .scale("string")
                    .type("string")
                    .build())
                .build())
            .schemaUpdateOptions("string")
            .skipLeadingRows(0)
            .sourceFormat("string")
            .sourceUris("string")
            .timePartitioning(TimePartitioningArgs.builder()
                .expirationMs("string")
                .field("string")
                .requirePartitionFilter(false)
                .type("string")
                .build())
            .useAvroLogicalTypes(false)
            .writeDisposition("string")
            .build())
        .query(JobConfigurationQueryArgs.builder()
            .allowLargeResults(false)
            .clustering(ClusteringArgs.builder()
                .fields("string")
                .build())
            .connectionProperties(ConnectionPropertyArgs.builder()
                .key("string")
                .value("string")
                .build())
            .continuous(false)
            .createDisposition("string")
            .createSession(false)
            .defaultDataset(DatasetReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .build())
            .destinationEncryptionConfiguration(EncryptionConfigurationArgs.builder()
                .kmsKeyName("string")
                .build())
            .destinationTable(TableReferenceArgs.builder()
                .datasetId("string")
                .project("string")
                .tableId("string")
                .build())
            .flattenResults(false)
            .maximumBillingTier(0)
            .maximumBytesBilled("string")
            .parameterMode("string")
            .priority("string")
            .query("string")
            .queryParameters(QueryParameterArgs.builder()
                .name("string")
                .parameterType(QueryParameterTypeArgs.builder()
                    .arrayType(queryParameterType)
                    .structTypes(QueryParameterTypeStructTypesItemArgs.builder()
                        .description("string")
                        .name("string")
                        .type(queryParameterType)
                        .build())
                    .type("string")
                    .build())
                .parameterValue(QueryParameterValueArgs.builder()
                    .arrayValues(queryParameterValue)
                    .structValues(Map.of("string", "string"))
                    .value("string")
                    .build())
                .build())
            .rangePartitioning(RangePartitioningArgs.builder()
                .field("string")
                .range(RangePartitioningRangeArgs.builder()
                    .end("string")
                    .interval("string")
                    .start("string")
                    .build())
                .build())
            .schemaUpdateOptions("string")
            .tableDefinitions(Map.of("string", "string"))
            .timePartitioning(TimePartitioningArgs.builder()
                .expirationMs("string")
                .field("string")
                .requirePartitionFilter(false)
                .type("string")
                .build())
            .useLegacySql(false)
            .useQueryCache(false)
            .userDefinedFunctionResources(UserDefinedFunctionResourceArgs.builder()
                .inlineCode("string")
                .resourceUri("string")
                .build())
            .writeDisposition("string")
            .build())
        .build())
    .jobReference(JobReferenceArgs.builder()
        .jobId("string")
        .location("string")
        .project("string")
        .build())
    .project("string")
    .source(new StringAsset("content"))
    .build());

    google_native_job_resource = google_native.bigquery.v2.Job("google-nativeJobResource",
    configuration=google_native.bigquery.v2.JobConfigurationArgs(
        copy=google_native.bigquery.v2.JobConfigurationTableCopyArgs(
            create_disposition="string",
            destination_encryption_configuration=google_native.bigquery.v2.EncryptionConfigurationArgs(
                kms_key_name="string",
            ),
            destination_expiration_time="any",
            destination_table=google_native.bigquery.v2.TableReferenceArgs(
                dataset_id="string",
                project="string",
                table_id="string",
            ),
            operation_type="string",
            source_table=google_native.bigquery.v2.TableReferenceArgs(
                dataset_id="string",
                project="string",
                table_id="string",
            ),
            source_tables=[google_native.bigquery.v2.TableReferenceArgs(
                dataset_id="string",
                project="string",
                table_id="string",
            )],
            write_disposition="string",
        ),
        dry_run=False,
        extract=google_native.bigquery.v2.JobConfigurationExtractArgs(
            compression="string",
            destination_format="string",
            destination_uri="string",
            destination_uris=["string"],
            field_delimiter="string",
            print_header=False,
            source_model=google_native.bigquery.v2.ModelReferenceArgs(
                dataset_id="string",
                model_id="string",
                project="string",
            ),
            source_table=google_native.bigquery.v2.TableReferenceArgs(
                dataset_id="string",
                project="string",
                table_id="string",
            ),
            use_avro_logical_types=False,
        ),
        job_timeout_ms="string",
        labels={
            "string": "string",
        },
        load=google_native.bigquery.v2.JobConfigurationLoadArgs(
            allow_jagged_rows=False,
            allow_quoted_newlines=False,
            autodetect=False,
            clustering=google_native.bigquery.v2.ClusteringArgs(
                fields=["string"],
            ),
            connection_properties=[google_native.bigquery.v2.ConnectionPropertyArgs(
                key="string",
                value="string",
            )],
            create_disposition="string",
            create_session=False,
            decimal_target_types=["string"],
            destination_encryption_configuration=google_native.bigquery.v2.EncryptionConfigurationArgs(
                kms_key_name="string",
            ),
            destination_table=google_native.bigquery.v2.TableReferenceArgs(
                dataset_id="string",
                project="string",
                table_id="string",
            ),
            destination_table_properties=google_native.bigquery.v2.DestinationTablePropertiesArgs(
                description="string",
                expiration_time="string",
                friendly_name="string",
                labels={
                    "string": "string",
                },
            ),
            encoding="string",
            field_delimiter="string",
            file_set_spec_type="string",
            hive_partitioning_options=google_native.bigquery.v2.HivePartitioningOptionsArgs(
                mode="string",
                require_partition_filter=False,
                source_uri_prefix="string",
            ),
            ignore_unknown_values=False,
            json_extension="string",
            max_bad_records=0,
            null_marker="string",
            parquet_options=google_native.bigquery.v2.ParquetOptionsArgs(
                enable_list_inference=False,
                enum_as_string=False,
            ),
            preserve_ascii_control_characters=False,
            projection_fields=["string"],
            quote="string",
            range_partitioning=google_native.bigquery.v2.RangePartitioningArgs(
                field="string",
                range=google_native.bigquery.v2.RangePartitioningRangeArgs(
                    end="string",
                    interval="string",
                    start="string",
                ),
            ),
            reference_file_schema_uri="string",
            schema=google_native.bigquery.v2.TableSchemaArgs(
                fields=[google_native.bigquery.v2.TableFieldSchemaArgs(
                    categories=google_native.bigquery.v2.TableFieldSchemaCategoriesArgs(
                        names=["string"],
                    ),
                    collation="string",
                    default_value_expression="string",
                    description="string",
                    fields=[table_field_schema],
                    max_length="string",
                    mode="string",
                    name="string",
                    policy_tags=google_native.bigquery.v2.TableFieldSchemaPolicyTagsArgs(
                        names=["string"],
                    ),
                    precision="string",
                    range_element_type=google_native.bigquery.v2.TableFieldSchemaRangeElementTypeArgs(
                        type="string",
                    ),
                    rounding_mode="string",
                    scale="string",
                    type="string",
                )],
            ),
            schema_update_options=["string"],
            skip_leading_rows=0,
            source_format="string",
            source_uris=["string"],
            time_partitioning=google_native.bigquery.v2.TimePartitioningArgs(
                expiration_ms="string",
                field="string",
                require_partition_filter=False,
                type="string",
            ),
            use_avro_logical_types=False,
            write_disposition="string",
        ),
        query=google_native.bigquery.v2.JobConfigurationQueryArgs(
            allow_large_results=False,
            clustering=google_native.bigquery.v2.ClusteringArgs(
                fields=["string"],
            ),
            connection_properties=[google_native.bigquery.v2.ConnectionPropertyArgs(
                key="string",
                value="string",
            )],
            continuous=False,
            create_disposition="string",
            create_session=False,
            default_dataset=google_native.bigquery.v2.DatasetReferenceArgs(
                dataset_id="string",
                project="string",
            ),
            destination_encryption_configuration=google_native.bigquery.v2.EncryptionConfigurationArgs(
                kms_key_name="string",
            ),
            destination_table=google_native.bigquery.v2.TableReferenceArgs(
                dataset_id="string",
                project="string",
                table_id="string",
            ),
            flatten_results=False,
            maximum_billing_tier=0,
            maximum_bytes_billed="string",
            parameter_mode="string",
            priority="string",
            query="string",
            query_parameters=[google_native.bigquery.v2.QueryParameterArgs(
                name="string",
                parameter_type=google_native.bigquery.v2.QueryParameterTypeArgs(
                    array_type=query_parameter_type,
                    struct_types=[google_native.bigquery.v2.QueryParameterTypeStructTypesItemArgs(
                        description="string",
                        name="string",
                        type=query_parameter_type,
                    )],
                    type="string",
                ),
                parameter_value=google_native.bigquery.v2.QueryParameterValueArgs(
                    array_values=[query_parameter_value],
                    struct_values={
                        "string": "string",
                    },
                    value="string",
                ),
            )],
            range_partitioning=google_native.bigquery.v2.RangePartitioningArgs(
                field="string",
                range=google_native.bigquery.v2.RangePartitioningRangeArgs(
                    end="string",
                    interval="string",
                    start="string",
                ),
            ),
            schema_update_options=["string"],
            table_definitions={
                "string": "string",
            },
            time_partitioning=google_native.bigquery.v2.TimePartitioningArgs(
                expiration_ms="string",
                field="string",
                require_partition_filter=False,
                type="string",
            ),
            use_legacy_sql=False,
            use_query_cache=False,
            user_defined_function_resources=[google_native.bigquery.v2.UserDefinedFunctionResourceArgs(
                inline_code="string",
                resource_uri="string",
            )],
            write_disposition="string",
        ),
    ),
    job_reference=google_native.bigquery.v2.JobReferenceArgs(
        job_id="string",
        location="string",
        project="string",
    ),
    project="string",
    source=pulumi.StringAsset("content"))

    const google_nativeJobResource = new google_native.bigquery.v2.Job("google-nativeJobResource", {
    configuration: {
        copy: {
            createDisposition: "string",
            destinationEncryptionConfiguration: {
                kmsKeyName: "string",
            },
            destinationExpirationTime: "any",
            destinationTable: {
                datasetId: "string",
                project: "string",
                tableId: "string",
            },
            operationType: "string",
            sourceTable: {
                datasetId: "string",
                project: "string",
                tableId: "string",
            },
            sourceTables: [{
                datasetId: "string",
                project: "string",
                tableId: "string",
            }],
            writeDisposition: "string",
        },
        dryRun: false,
        extract: {
            compression: "string",
            destinationFormat: "string",
            destinationUri: "string",
            destinationUris: ["string"],
            fieldDelimiter: "string",
            printHeader: false,
            sourceModel: {
                datasetId: "string",
                modelId: "string",
                project: "string",
            },
            sourceTable: {
                datasetId: "string",
                project: "string",
                tableId: "string",
            },
            useAvroLogicalTypes: false,
        },
        jobTimeoutMs: "string",
        labels: {
            string: "string",
        },
        load: {
            allowJaggedRows: false,
            allowQuotedNewlines: false,
            autodetect: false,
            clustering: {
                fields: ["string"],
            },
            connectionProperties: [{
                key: "string",
                value: "string",
            }],
            createDisposition: "string",
            createSession: false,
            decimalTargetTypes: ["string"],
            destinationEncryptionConfiguration: {
                kmsKeyName: "string",
            },
            destinationTable: {
                datasetId: "string",
                project: "string",
                tableId: "string",
            },
            destinationTableProperties: {
                description: "string",
                expirationTime: "string",
                friendlyName: "string",
                labels: {
                    string: "string",
                },
            },
            encoding: "string",
            fieldDelimiter: "string",
            fileSetSpecType: "string",
            hivePartitioningOptions: {
                mode: "string",
                requirePartitionFilter: false,
                sourceUriPrefix: "string",
            },
            ignoreUnknownValues: false,
            jsonExtension: "string",
            maxBadRecords: 0,
            nullMarker: "string",
            parquetOptions: {
                enableListInference: false,
                enumAsString: false,
            },
            preserveAsciiControlCharacters: false,
            projectionFields: ["string"],
            quote: "string",
            rangePartitioning: {
                field: "string",
                range: {
                    end: "string",
                    interval: "string",
                    start: "string",
                },
            },
            referenceFileSchemaUri: "string",
            schema: {
                fields: [{
                    categories: {
                        names: ["string"],
                    },
                    collation: "string",
                    defaultValueExpression: "string",
                    description: "string",
                    fields: [tableFieldSchema],
                    maxLength: "string",
                    mode: "string",
                    name: "string",
                    policyTags: {
                        names: ["string"],
                    },
                    precision: "string",
                    rangeElementType: {
                        type: "string",
                    },
                    roundingMode: "string",
                    scale: "string",
                    type: "string",
                }],
            },
            schemaUpdateOptions: ["string"],
            skipLeadingRows: 0,
            sourceFormat: "string",
            sourceUris: ["string"],
            timePartitioning: {
                expirationMs: "string",
                field: "string",
                requirePartitionFilter: false,
                type: "string",
            },
            useAvroLogicalTypes: false,
            writeDisposition: "string",
        },
        query: {
            allowLargeResults: false,
            clustering: {
                fields: ["string"],
            },
            connectionProperties: [{
                key: "string",
                value: "string",
            }],
            continuous: false,
            createDisposition: "string",
            createSession: false,
            defaultDataset: {
                datasetId: "string",
                project: "string",
            },
            destinationEncryptionConfiguration: {
                kmsKeyName: "string",
            },
            destinationTable: {
                datasetId: "string",
                project: "string",
                tableId: "string",
            },
            flattenResults: false,
            maximumBillingTier: 0,
            maximumBytesBilled: "string",
            parameterMode: "string",
            priority: "string",
            query: "string",
            queryParameters: [{
                name: "string",
                parameterType: {
                    arrayType: queryParameterType,
                    structTypes: [{
                        description: "string",
                        name: "string",
                        type: queryParameterType,
                    }],
                    type: "string",
                },
                parameterValue: {
                    arrayValues: [queryParameterValue],
                    structValues: {
                        string: "string",
                    },
                    value: "string",
                },
            }],
            rangePartitioning: {
                field: "string",
                range: {
                    end: "string",
                    interval: "string",
                    start: "string",
                },
            },
            schemaUpdateOptions: ["string"],
            tableDefinitions: {
                string: "string",
            },
            timePartitioning: {
                expirationMs: "string",
                field: "string",
                requirePartitionFilter: false,
                type: "string",
            },
            useLegacySql: false,
            useQueryCache: false,
            userDefinedFunctionResources: [{
                inlineCode: "string",
                resourceUri: "string",
            }],
            writeDisposition: "string",
        },
    },
    jobReference: {
        jobId: "string",
        location: "string",
        project: "string",
    },
    project: "string",
    source: new pulumi.asset.StringAsset("content"),
});

    type: google-native:bigquery/v2:Job
properties:
    configuration:
        copy:
            createDisposition: string
            destinationEncryptionConfiguration:
                kmsKeyName: string
            destinationExpirationTime: any
            destinationTable:
                datasetId: string
                project: string
                tableId: string
            operationType: string
            sourceTable:
                datasetId: string
                project: string
                tableId: string
            sourceTables:
                - datasetId: string
                  project: string
                  tableId: string
            writeDisposition: string
        dryRun: false
        extract:
            compression: string
            destinationFormat: string
            destinationUri: string
            destinationUris:
                - string
            fieldDelimiter: string
            printHeader: false
            sourceModel:
                datasetId: string
                modelId: string
                project: string
            sourceTable:
                datasetId: string
                project: string
                tableId: string
            useAvroLogicalTypes: false
        jobTimeoutMs: string
        labels:
            string: string
        load:
            allowJaggedRows: false
            allowQuotedNewlines: false
            autodetect: false
            clustering:
                fields:
                    - string
            connectionProperties:
                - key: string
                  value: string
            createDisposition: string
            createSession: false
            decimalTargetTypes:
                - string
            destinationEncryptionConfiguration:
                kmsKeyName: string
            destinationTable:
                datasetId: string
                project: string
                tableId: string
            destinationTableProperties:
                description: string
                expirationTime: string
                friendlyName: string
                labels:
                    string: string
            encoding: string
            fieldDelimiter: string
            fileSetSpecType: string
            hivePartitioningOptions:
                mode: string
                requirePartitionFilter: false
                sourceUriPrefix: string
            ignoreUnknownValues: false
            jsonExtension: string
            maxBadRecords: 0
            nullMarker: string
            parquetOptions:
                enableListInference: false
                enumAsString: false
            preserveAsciiControlCharacters: false
            projectionFields:
                - string
            quote: string
            rangePartitioning:
                field: string
                range:
                    end: string
                    interval: string
                    start: string
            referenceFileSchemaUri: string
            schema:
                fields:
                    - categories:
                        names:
                            - string
                      collation: string
                      defaultValueExpression: string
                      description: string
                      fields:
                        - ${tableFieldSchema}
                      maxLength: string
                      mode: string
                      name: string
                      policyTags:
                        names:
                            - string
                      precision: string
                      rangeElementType:
                        type: string
                      roundingMode: string
                      scale: string
                      type: string
            schemaUpdateOptions:
                - string
            skipLeadingRows: 0
            sourceFormat: string
            sourceUris:
                - string
            timePartitioning:
                expirationMs: string
                field: string
                requirePartitionFilter: false
                type: string
            useAvroLogicalTypes: false
            writeDisposition: string
        query:
            allowLargeResults: false
            clustering:
                fields:
                    - string
            connectionProperties:
                - key: string
                  value: string
            continuous: false
            createDisposition: string
            createSession: false
            defaultDataset:
                datasetId: string
                project: string
            destinationEncryptionConfiguration:
                kmsKeyName: string
            destinationTable:
                datasetId: string
                project: string
                tableId: string
            flattenResults: false
            maximumBillingTier: 0
            maximumBytesBilled: string
            parameterMode: string
            priority: string
            query: string
            queryParameters:
                - name: string
                  parameterType:
                    arrayType: ${queryParameterType}
                    structTypes:
                        - description: string
                          name: string
                          type: ${queryParameterType}
                    type: string
                  parameterValue:
                    arrayValues:
                        - ${queryParameterValue}
                    structValues:
                        string: string
                    value: string
            rangePartitioning:
                field: string
                range:
                    end: string
                    interval: string
                    start: string
            schemaUpdateOptions:
                - string
            tableDefinitions:
                string: string
            timePartitioning:
                expirationMs: string
                field: string
                requirePartitionFilter: false
                type: string
            useLegacySql: false
            useQueryCache: false
            userDefinedFunctionResources:
                - inlineCode: string
                  resourceUri: string
            writeDisposition: string
    jobReference:
        jobId: string
        location: string
        project: string
    project: string
    source:
        fn::StringAsset: content

    Job Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The Job resource accepts the following input properties:

    Configuration Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfiguration
    [Required] Describes the job configuration.
    JobReference Pulumi.GoogleNative.BigQuery.V2.Inputs.JobReference
    [Optional] Reference describing the unique-per-user name of the job.
    Project string
    Source AssetOrArchive
    Configuration JobConfigurationArgs
    [Required] Describes the job configuration.
    JobReference JobReferenceArgs
    [Optional] Reference describing the unique-per-user name of the job.
    Project string
    Source pulumi.AssetOrArchive
    configuration JobConfiguration
    [Required] Describes the job configuration.
    jobReference JobReference
    [Optional] Reference describing the unique-per-user name of the job.
    project String
    source AssetOrArchive
    configuration JobConfiguration
    [Required] Describes the job configuration.
    jobReference JobReference
    [Optional] Reference describing the unique-per-user name of the job.
    project string
    source pulumi.asset.Asset | pulumi.asset.Archive
    configuration JobConfigurationArgs
    [Required] Describes the job configuration.
    job_reference JobReferenceArgs
    [Optional] Reference describing the unique-per-user name of the job.
    project str
    source Union[pulumi.Asset, pulumi.Archive]
    configuration Property Map
    [Required] Describes the job configuration.
    jobReference Property Map
    [Optional] Reference describing the unique-per-user name of the job.
    project String
    source Asset

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Job resource produces the following output properties:

    Etag string
    A hash of this resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    JobCreationReason object
    If set, it provides the reason why a Job was created. If not set, it should be treated as the default: REQUESTED. This feature is not yet available. Jobs will always be created.
    Kind string
    The type of the resource.
    SelfLink string
    A URL that can be used to access this resource again.
    Statistics Pulumi.GoogleNative.BigQuery.V2.Outputs.JobStatisticsResponse
    Information about the job, including starting time and ending time of the job.
    Status Pulumi.GoogleNative.BigQuery.V2.Outputs.JobStatusResponse
    The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
    UserEmail string
    Email address of the user who ran the job.
    Etag string
    A hash of this resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    JobCreationReason interface{}
    If set, it provides the reason why a Job was created. If not set, it should be treated as the default: REQUESTED. This feature is not yet available. Jobs will always be created.
    Kind string
    The type of the resource.
    SelfLink string
    A URL that can be used to access this resource again.
    Statistics JobStatisticsResponse
    Information about the job, including starting time and ending time of the job.
    Status JobStatusResponse
    The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
    UserEmail string
    Email address of the user who ran the job.
    etag String
    A hash of this resource.
    id String
    The provider-assigned unique ID for this managed resource.
    jobCreationReason Object
    If set, it provides the reason why a Job was created. If not set, it should be treated as the default: REQUESTED. This feature is not yet available. Jobs will always be created.
    kind String
    The type of the resource.
    selfLink String
    A URL that can be used to access this resource again.
    statistics JobStatisticsResponse
    Information about the job, including starting time and ending time of the job.
    status JobStatusResponse
    The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
    userEmail String
    Email address of the user who ran the job.
    etag string
    A hash of this resource.
    id string
    The provider-assigned unique ID for this managed resource.
    jobCreationReason any
    If set, it provides the reason why a Job was created. If not set, it should be treated as the default: REQUESTED. This feature is not yet available. Jobs will always be created.
    kind string
    The type of the resource.
    selfLink string
    A URL that can be used to access this resource again.
    statistics JobStatisticsResponse
    Information about the job, including starting time and ending time of the job.
    status JobStatusResponse
    The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
    userEmail string
    Email address of the user who ran the job.
    etag str
    A hash of this resource.
    id str
    The provider-assigned unique ID for this managed resource.
    job_creation_reason Any
    If set, it provides the reason why a Job was created. If not set, it should be treated as the default: REQUESTED. This feature is not yet available. Jobs will always be created.
    kind str
    The type of the resource.
    self_link str
    A URL that can be used to access this resource again.
    statistics JobStatisticsResponse
    Information about the job, including starting time and ending time of the job.
    status JobStatusResponse
    The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
    user_email str
    Email address of the user who ran the job.
    etag String
    A hash of this resource.
    id String
    The provider-assigned unique ID for this managed resource.
    jobCreationReason Any
    If set, it provides the reason why a Job was created. If not set, it should be treated as the default: REQUESTED. This feature is not yet available. Jobs will always be created.
    kind String
    The type of the resource.
    selfLink String
    A URL that can be used to access this resource again.
    statistics Property Map
    Information about the job, including starting time and ending time of the job.
    status Property Map
    The status of this job. Examine this value when polling an asynchronous job to see if the job is complete.
    userEmail String
    Email address of the user who ran the job.

    Supporting Types

    BiEngineReasonResponse, BiEngineReasonResponseArgs

    Code string
    High-level BI Engine reason for partial or disabled acceleration.
    Message string
    Free form human-readable reason for partial or disabled acceleration.
    Code string
    High-level BI Engine reason for partial or disabled acceleration.
    Message string
    Free form human-readable reason for partial or disabled acceleration.
    code String
    High-level BI Engine reason for partial or disabled acceleration.
    message String
    Free form human-readable reason for partial or disabled acceleration.
    code string
    High-level BI Engine reason for partial or disabled acceleration.
    message string
    Free form human-readable reason for partial or disabled acceleration.
    code str
    High-level BI Engine reason for partial or disabled acceleration.
    message str
    Free form human-readable reason for partial or disabled acceleration.
    code String
    High-level BI Engine reason for partial or disabled acceleration.
    message String
    Free form human-readable reason for partial or disabled acceleration.

    BiEngineStatisticsResponse, BiEngineStatisticsResponseArgs

    AccelerationMode string
    Specifies which mode of BI Engine acceleration was performed (if any).
    BiEngineMode string
    Specifies which mode of BI Engine acceleration was performed (if any).
    BiEngineReasons List<Pulumi.GoogleNative.BigQuery.V2.Inputs.BiEngineReasonResponse>
    In case of DISABLED or PARTIAL bi_engine_mode, these contain the explanatory reasons as to why BI Engine could not accelerate. In case the full query was accelerated, this field is not populated.
    AccelerationMode string
    Specifies which mode of BI Engine acceleration was performed (if any).
    BiEngineMode string
    Specifies which mode of BI Engine acceleration was performed (if any).
    BiEngineReasons []BiEngineReasonResponse
    In case of DISABLED or PARTIAL bi_engine_mode, these contain the explanatory reasons as to why BI Engine could not accelerate. In case the full query was accelerated, this field is not populated.
    accelerationMode String
    Specifies which mode of BI Engine acceleration was performed (if any).
    biEngineMode String
    Specifies which mode of BI Engine acceleration was performed (if any).
    biEngineReasons List<BiEngineReasonResponse>
    In case of DISABLED or PARTIAL bi_engine_mode, these contain the explanatory reasons as to why BI Engine could not accelerate. In case the full query was accelerated, this field is not populated.
    accelerationMode string
    Specifies which mode of BI Engine acceleration was performed (if any).
    biEngineMode string
    Specifies which mode of BI Engine acceleration was performed (if any).
    biEngineReasons BiEngineReasonResponse[]
    In case of DISABLED or PARTIAL bi_engine_mode, these contain the explanatory reasons as to why BI Engine could not accelerate. In case the full query was accelerated, this field is not populated.
    acceleration_mode str
    Specifies which mode of BI Engine acceleration was performed (if any).
    bi_engine_mode str
    Specifies which mode of BI Engine acceleration was performed (if any).
    bi_engine_reasons Sequence[BiEngineReasonResponse]
    In case of DISABLED or PARTIAL bi_engine_mode, these contain the explanatory reasons as to why BI Engine could not accelerate. In case the full query was accelerated, this field is not populated.
    accelerationMode String
    Specifies which mode of BI Engine acceleration was performed (if any).
    biEngineMode String
    Specifies which mode of BI Engine acceleration was performed (if any).
    biEngineReasons List<Property Map>
    In case of DISABLED or PARTIAL bi_engine_mode, these contain the explanatory reasons as to why BI Engine could not accelerate. In case the full query was accelerated, this field is not populated.

    BigQueryModelTrainingResponse, BigQueryModelTrainingResponseArgs

    CurrentIteration int
    [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
    ExpectedTotalIterations string
    [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
    CurrentIteration int
    [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
    ExpectedTotalIterations string
    [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
    currentIteration Integer
    [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
    expectedTotalIterations String
    [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
    currentIteration number
    [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
    expectedTotalIterations string
    [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
    current_iteration int
    [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
    expected_total_iterations str
    [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.
    currentIteration Number
    [Output-only, Beta] Index of current ML training iteration. Updated during create model query job to show job progress.
    expectedTotalIterations String
    [Output-only, Beta] Expected number of iterations for the create model query job specified as num_iterations in the input query. The actual total number of iterations may be less than this number due to early stop.

    Clustering, ClusteringArgs

    Fields List<string>
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    Fields []string
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields List<String>
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields string[]
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields Sequence[str]
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields List<String>
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.

    ClusteringResponse, ClusteringResponseArgs

    Fields List<string>
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    Fields []string
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields List<String>
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields string[]
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields Sequence[str]
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
    fields List<String>
    [Repeated] One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.

    ConnectionProperty, ConnectionPropertyArgs

    Key string
    [Required] Name of the connection property to set.
    Value string
    [Required] Value of the connection property.
    Key string
    [Required] Name of the connection property to set.
    Value string
    [Required] Value of the connection property.
    key String
    [Required] Name of the connection property to set.
    value String
    [Required] Value of the connection property.
    key string
    [Required] Name of the connection property to set.
    value string
    [Required] Value of the connection property.
    key str
    [Required] Name of the connection property to set.
    value str
    [Required] Value of the connection property.
    key String
    [Required] Name of the connection property to set.
    value String
    [Required] Value of the connection property.

    ConnectionPropertyResponse, ConnectionPropertyResponseArgs

    Key string
    [Required] Name of the connection property to set.
    Value string
    [Required] Value of the connection property.
    Key string
    [Required] Name of the connection property to set.
    Value string
    [Required] Value of the connection property.
    key String
    [Required] Name of the connection property to set.
    value String
    [Required] Value of the connection property.
    key string
    [Required] Name of the connection property to set.
    value string
    [Required] Value of the connection property.
    key str
    [Required] Name of the connection property to set.
    value str
    [Required] Value of the connection property.
    key String
    [Required] Name of the connection property to set.
    value String
    [Required] Value of the connection property.

    DataMaskingStatisticsResponse, DataMaskingStatisticsResponseArgs

    DataMaskingApplied bool
    [Preview] Whether any accessed data was protected by data masking. The actual evaluation is done by accessStats.masked_field_count > 0. Since this is only used for the discovery_doc generation purpose, as long as the type (boolean) matches, client library can leverage this. The actual evaluation of the variable is done else-where.
    DataMaskingApplied bool
    [Preview] Whether any accessed data was protected by data masking. The actual evaluation is done by accessStats.masked_field_count > 0. Since this is only used for the discovery_doc generation purpose, as long as the type (boolean) matches, client library can leverage this. The actual evaluation of the variable is done else-where.
    dataMaskingApplied Boolean
    [Preview] Whether any accessed data was protected by data masking. The actual evaluation is done by accessStats.masked_field_count > 0. Since this is only used for the discovery_doc generation purpose, as long as the type (boolean) matches, client library can leverage this. The actual evaluation of the variable is done else-where.
    dataMaskingApplied boolean
    [Preview] Whether any accessed data was protected by data masking. The actual evaluation is done by accessStats.masked_field_count > 0. Since this is only used for the discovery_doc generation purpose, as long as the type (boolean) matches, client library can leverage this. The actual evaluation of the variable is done else-where.
    data_masking_applied bool
    [Preview] Whether any accessed data was protected by data masking. The actual evaluation is done by accessStats.masked_field_count > 0. Since this is only used for the discovery_doc generation purpose, as long as the type (boolean) matches, client library can leverage this. The actual evaluation of the variable is done else-where.
    dataMaskingApplied Boolean
    [Preview] Whether any accessed data was protected by data masking. The actual evaluation is done by accessStats.masked_field_count > 0. Since this is only used for the discovery_doc generation purpose, as long as the type (boolean) matches, client library can leverage this. The actual evaluation of the variable is done else-where.

    DatasetReference, DatasetReferenceArgs

    DatasetId string
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    [Optional] The ID of the project containing this dataset.
    DatasetId string
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    [Optional] The ID of the project containing this dataset.
    datasetId String
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    [Optional] The ID of the project containing this dataset.
    datasetId string
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project string
    [Optional] The ID of the project containing this dataset.
    dataset_id str
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project str
    [Optional] The ID of the project containing this dataset.
    datasetId String
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    [Optional] The ID of the project containing this dataset.

    DatasetReferenceResponse, DatasetReferenceResponseArgs

    DatasetId string
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    [Optional] The ID of the project containing this dataset.
    DatasetId string
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    [Optional] The ID of the project containing this dataset.
    datasetId String
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    [Optional] The ID of the project containing this dataset.
    datasetId string
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project string
    [Optional] The ID of the project containing this dataset.
    dataset_id str
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project str
    [Optional] The ID of the project containing this dataset.
    datasetId String
    [Required] A unique ID for this dataset, without the project name. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    [Optional] The ID of the project containing this dataset.

    DestinationTableProperties, DestinationTablePropertiesArgs

    Description string
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    ExpirationTime string
    [Internal] This field is for Google internal use only.
    FriendlyName string
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    Labels Dictionary<string, string>
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    Description string
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    ExpirationTime string
    [Internal] This field is for Google internal use only.
    FriendlyName string
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    Labels map[string]string
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description String
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expirationTime String
    [Internal] This field is for Google internal use only.
    friendlyName String
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels Map<String,String>
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description string
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expirationTime string
    [Internal] This field is for Google internal use only.
    friendlyName string
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels {[key: string]: string}
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description str
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expiration_time str
    [Internal] This field is for Google internal use only.
    friendly_name str
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels Mapping[str, str]
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description String
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expirationTime String
    [Internal] This field is for Google internal use only.
    friendlyName String
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels Map<String>
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.

    DestinationTablePropertiesResponse, DestinationTablePropertiesResponseArgs

    Description string
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    ExpirationTime string
    [Internal] This field is for Google internal use only.
    FriendlyName string
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    Labels Dictionary<string, string>
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    Description string
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    ExpirationTime string
    [Internal] This field is for Google internal use only.
    FriendlyName string
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    Labels map[string]string
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description String
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expirationTime String
    [Internal] This field is for Google internal use only.
    friendlyName String
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels Map<String,String>
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description string
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expirationTime string
    [Internal] This field is for Google internal use only.
    friendlyName string
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels {[key: string]: string}
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description str
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expiration_time str
    [Internal] This field is for Google internal use only.
    friendly_name str
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels Mapping[str, str]
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.
    description String
    [Optional] The description for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current description is provided, the job will fail.
    expirationTime String
    [Internal] This field is for Google internal use only.
    friendlyName String
    [Optional] The friendly name for the destination table. This will only be used if the destination table is newly created. If the table already exists and a value different than the current friendly name is provided, the job will fail.
    labels Map<String>
    [Optional] The labels associated with this table. You can use these to organize and group your tables. This will only be used if the destination table is newly created. If the table already exists and labels are different than the current labels are provided, the job will fail.

    DmlStatisticsResponse, DmlStatisticsResponseArgs

    DeletedRowCount string
    Number of deleted Rows. populated by DML DELETE, MERGE and TRUNCATE statements.
    InsertedRowCount string
    Number of inserted Rows. Populated by DML INSERT and MERGE statements.
    UpdatedRowCount string
    Number of updated Rows. Populated by DML UPDATE and MERGE statements.
    DeletedRowCount string
    Number of deleted Rows. populated by DML DELETE, MERGE and TRUNCATE statements.
    InsertedRowCount string
    Number of inserted Rows. Populated by DML INSERT and MERGE statements.
    UpdatedRowCount string
    Number of updated Rows. Populated by DML UPDATE and MERGE statements.
    deletedRowCount String
    Number of deleted Rows. populated by DML DELETE, MERGE and TRUNCATE statements.
    insertedRowCount String
    Number of inserted Rows. Populated by DML INSERT and MERGE statements.
    updatedRowCount String
    Number of updated Rows. Populated by DML UPDATE and MERGE statements.
    deletedRowCount string
    Number of deleted Rows. populated by DML DELETE, MERGE and TRUNCATE statements.
    insertedRowCount string
    Number of inserted Rows. Populated by DML INSERT and MERGE statements.
    updatedRowCount string
    Number of updated Rows. Populated by DML UPDATE and MERGE statements.
    deleted_row_count str
    Number of deleted Rows. populated by DML DELETE, MERGE and TRUNCATE statements.
    inserted_row_count str
    Number of inserted Rows. Populated by DML INSERT and MERGE statements.
    updated_row_count str
    Number of updated Rows. Populated by DML UPDATE and MERGE statements.
    deletedRowCount String
    Number of deleted Rows. populated by DML DELETE, MERGE and TRUNCATE statements.
    insertedRowCount String
    Number of inserted Rows. Populated by DML INSERT and MERGE statements.
    updatedRowCount String
    Number of updated Rows. Populated by DML UPDATE and MERGE statements.

    EncryptionConfiguration, EncryptionConfigurationArgs

    KmsKeyName string
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    KmsKeyName string
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kmsKeyName String
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kmsKeyName string
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kms_key_name str
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kmsKeyName String
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.

    EncryptionConfigurationResponse, EncryptionConfigurationResponseArgs

    KmsKeyName string
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    KmsKeyName string
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kmsKeyName String
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kmsKeyName string
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kms_key_name str
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.
    kmsKeyName String
    Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.

    ErrorProtoResponse, ErrorProtoResponseArgs

    DebugInfo string
    Debugging information. This property is internal to Google and should not be used.
    Location string
    Specifies where the error occurred, if present.
    Message string
    A human-readable description of the error.
    Reason string
    A short error code that summarizes the error.
    DebugInfo string
    Debugging information. This property is internal to Google and should not be used.
    Location string
    Specifies where the error occurred, if present.
    Message string
    A human-readable description of the error.
    Reason string
    A short error code that summarizes the error.
    debugInfo String
    Debugging information. This property is internal to Google and should not be used.
    location String
    Specifies where the error occurred, if present.
    message String
    A human-readable description of the error.
    reason String
    A short error code that summarizes the error.
    debugInfo string
    Debugging information. This property is internal to Google and should not be used.
    location string
    Specifies where the error occurred, if present.
    message string
    A human-readable description of the error.
    reason string
    A short error code that summarizes the error.
    debug_info str
    Debugging information. This property is internal to Google and should not be used.
    location str
    Specifies where the error occurred, if present.
    message str
    A human-readable description of the error.
    reason str
    A short error code that summarizes the error.
    debugInfo String
    Debugging information. This property is internal to Google and should not be used.
    location String
    Specifies where the error occurred, if present.
    message String
    A human-readable description of the error.
    reason String
    A short error code that summarizes the error.

    ExplainQueryStageResponse, ExplainQueryStageResponseArgs

    CompletedParallelInputs string
    Number of parallel input segments completed.
    ComputeMsAvg string
    Milliseconds the average shard spent on CPU-bound tasks.
    ComputeMsMax string
    Milliseconds the slowest shard spent on CPU-bound tasks.
    ComputeRatioAvg double
    Relative amount of time the average shard spent on CPU-bound tasks.
    ComputeRatioMax double
    Relative amount of time the slowest shard spent on CPU-bound tasks.
    EndMs string
    Stage end time represented as milliseconds since epoch.
    InputStages List<string>
    IDs for stages that are inputs to this stage.
    Name string
    Human-readable name for stage.
    ParallelInputs string
    Number of parallel input segments to be processed.
    ReadMsAvg string
    Milliseconds the average shard spent reading input.
    ReadMsMax string
    Milliseconds the slowest shard spent reading input.
    ReadRatioAvg double
    Relative amount of time the average shard spent reading input.
    ReadRatioMax double
    Relative amount of time the slowest shard spent reading input.
    RecordsRead string
    Number of records read into the stage.
    RecordsWritten string
    Number of records written by the stage.
    ShuffleOutputBytes string
    Total number of bytes written to shuffle.
    ShuffleOutputBytesSpilled string
    Total number of bytes written to shuffle and spilled to disk.
    SlotMs string
    Slot-milliseconds used by the stage.
    StartMs string
    Stage start time represented as milliseconds since epoch.
    Status string
    Current status for the stage.
    Steps List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ExplainQueryStepResponse>
    List of operations within the stage in dependency order (approximately chronological).
    WaitMsAvg string
    Milliseconds the average shard spent waiting to be scheduled.
    WaitMsMax string
    Milliseconds the slowest shard spent waiting to be scheduled.
    WaitRatioAvg double
    Relative amount of time the average shard spent waiting to be scheduled.
    WaitRatioMax double
    Relative amount of time the slowest shard spent waiting to be scheduled.
    WriteMsAvg string
    Milliseconds the average shard spent on writing output.
    WriteMsMax string
    Milliseconds the slowest shard spent on writing output.
    WriteRatioAvg double
    Relative amount of time the average shard spent on writing output.
    WriteRatioMax double
    Relative amount of time the slowest shard spent on writing output.
    CompletedParallelInputs string
    Number of parallel input segments completed.
    ComputeMsAvg string
    Milliseconds the average shard spent on CPU-bound tasks.
    ComputeMsMax string
    Milliseconds the slowest shard spent on CPU-bound tasks.
    ComputeRatioAvg float64
    Relative amount of time the average shard spent on CPU-bound tasks.
    ComputeRatioMax float64
    Relative amount of time the slowest shard spent on CPU-bound tasks.
    EndMs string
    Stage end time represented as milliseconds since epoch.
    InputStages []string
    IDs for stages that are inputs to this stage.
    Name string
    Human-readable name for stage.
    ParallelInputs string
    Number of parallel input segments to be processed.
    ReadMsAvg string
    Milliseconds the average shard spent reading input.
    ReadMsMax string
    Milliseconds the slowest shard spent reading input.
    ReadRatioAvg float64
    Relative amount of time the average shard spent reading input.
    ReadRatioMax float64
    Relative amount of time the slowest shard spent reading input.
    RecordsRead string
    Number of records read into the stage.
    RecordsWritten string
    Number of records written by the stage.
    ShuffleOutputBytes string
    Total number of bytes written to shuffle.
    ShuffleOutputBytesSpilled string
    Total number of bytes written to shuffle and spilled to disk.
    SlotMs string
    Slot-milliseconds used by the stage.
    StartMs string
    Stage start time represented as milliseconds since epoch.
    Status string
    Current status for the stage.
    Steps []ExplainQueryStepResponse
    List of operations within the stage in dependency order (approximately chronological).
    WaitMsAvg string
    Milliseconds the average shard spent waiting to be scheduled.
    WaitMsMax string
    Milliseconds the slowest shard spent waiting to be scheduled.
    WaitRatioAvg float64
    Relative amount of time the average shard spent waiting to be scheduled.
    WaitRatioMax float64
    Relative amount of time the slowest shard spent waiting to be scheduled.
    WriteMsAvg string
    Milliseconds the average shard spent on writing output.
    WriteMsMax string
    Milliseconds the slowest shard spent on writing output.
    WriteRatioAvg float64
    Relative amount of time the average shard spent on writing output.
    WriteRatioMax float64
    Relative amount of time the slowest shard spent on writing output.
    completedParallelInputs String
    Number of parallel input segments completed.
    computeMsAvg String
    Milliseconds the average shard spent on CPU-bound tasks.
    computeMsMax String
    Milliseconds the slowest shard spent on CPU-bound tasks.
    computeRatioAvg Double
    Relative amount of time the average shard spent on CPU-bound tasks.
    computeRatioMax Double
    Relative amount of time the slowest shard spent on CPU-bound tasks.
    endMs String
    Stage end time represented as milliseconds since epoch.
    inputStages List<String>
    IDs for stages that are inputs to this stage.
    name String
    Human-readable name for stage.
    parallelInputs String
    Number of parallel input segments to be processed.
    readMsAvg String
    Milliseconds the average shard spent reading input.
    readMsMax String
    Milliseconds the slowest shard spent reading input.
    readRatioAvg Double
    Relative amount of time the average shard spent reading input.
    readRatioMax Double
    Relative amount of time the slowest shard spent reading input.
    recordsRead String
    Number of records read into the stage.
    recordsWritten String
    Number of records written by the stage.
    shuffleOutputBytes String
    Total number of bytes written to shuffle.
    shuffleOutputBytesSpilled String
    Total number of bytes written to shuffle and spilled to disk.
    slotMs String
    Slot-milliseconds used by the stage.
    startMs String
    Stage start time represented as milliseconds since epoch.
    status String
    Current status for the stage.
    steps List<ExplainQueryStepResponse>
    List of operations within the stage in dependency order (approximately chronological).
    waitMsAvg String
    Milliseconds the average shard spent waiting to be scheduled.
    waitMsMax String
    Milliseconds the slowest shard spent waiting to be scheduled.
    waitRatioAvg Double
    Relative amount of time the average shard spent waiting to be scheduled.
    waitRatioMax Double
    Relative amount of time the slowest shard spent waiting to be scheduled.
    writeMsAvg String
    Milliseconds the average shard spent on writing output.
    writeMsMax String
    Milliseconds the slowest shard spent on writing output.
    writeRatioAvg Double
    Relative amount of time the average shard spent on writing output.
    writeRatioMax Double
    Relative amount of time the slowest shard spent on writing output.
    completedParallelInputs string
    Number of parallel input segments completed.
    computeMsAvg string
    Milliseconds the average shard spent on CPU-bound tasks.
    computeMsMax string
    Milliseconds the slowest shard spent on CPU-bound tasks.
    computeRatioAvg number
    Relative amount of time the average shard spent on CPU-bound tasks.
    computeRatioMax number
    Relative amount of time the slowest shard spent on CPU-bound tasks.
    endMs string
    Stage end time represented as milliseconds since epoch.
    inputStages string[]
    IDs for stages that are inputs to this stage.
    name string
    Human-readable name for stage.
    parallelInputs string
    Number of parallel input segments to be processed.
    readMsAvg string
    Milliseconds the average shard spent reading input.
    readMsMax string
    Milliseconds the slowest shard spent reading input.
    readRatioAvg number
    Relative amount of time the average shard spent reading input.
    readRatioMax number
    Relative amount of time the slowest shard spent reading input.
    recordsRead string
    Number of records read into the stage.
    recordsWritten string
    Number of records written by the stage.
    shuffleOutputBytes string
    Total number of bytes written to shuffle.
    shuffleOutputBytesSpilled string
    Total number of bytes written to shuffle and spilled to disk.
    slotMs string
    Slot-milliseconds used by the stage.
    startMs string
    Stage start time represented as milliseconds since epoch.
    status string
    Current status for the stage.
    steps ExplainQueryStepResponse[]
    List of operations within the stage in dependency order (approximately chronological).
    waitMsAvg string
    Milliseconds the average shard spent waiting to be scheduled.
    waitMsMax string
    Milliseconds the slowest shard spent waiting to be scheduled.
    waitRatioAvg number
    Relative amount of time the average shard spent waiting to be scheduled.
    waitRatioMax number
    Relative amount of time the slowest shard spent waiting to be scheduled.
    writeMsAvg string
    Milliseconds the average shard spent on writing output.
    writeMsMax string
    Milliseconds the slowest shard spent on writing output.
    writeRatioAvg number
    Relative amount of time the average shard spent on writing output.
    writeRatioMax number
    Relative amount of time the slowest shard spent on writing output.
    completed_parallel_inputs str
    Number of parallel input segments completed.
    compute_ms_avg str
    Milliseconds the average shard spent on CPU-bound tasks.
    compute_ms_max str
    Milliseconds the slowest shard spent on CPU-bound tasks.
    compute_ratio_avg float
    Relative amount of time the average shard spent on CPU-bound tasks.
    compute_ratio_max float
    Relative amount of time the slowest shard spent on CPU-bound tasks.
    end_ms str
    Stage end time represented as milliseconds since epoch.
    input_stages Sequence[str]
    IDs for stages that are inputs to this stage.
    name str
    Human-readable name for stage.
    parallel_inputs str
    Number of parallel input segments to be processed.
    read_ms_avg str
    Milliseconds the average shard spent reading input.
    read_ms_max str
    Milliseconds the slowest shard spent reading input.
    read_ratio_avg float
    Relative amount of time the average shard spent reading input.
    read_ratio_max float
    Relative amount of time the slowest shard spent reading input.
    records_read str
    Number of records read into the stage.
    records_written str
    Number of records written by the stage.
    shuffle_output_bytes str
    Total number of bytes written to shuffle.
    shuffle_output_bytes_spilled str
    Total number of bytes written to shuffle and spilled to disk.
    slot_ms str
    Slot-milliseconds used by the stage.
    start_ms str
    Stage start time represented as milliseconds since epoch.
    status str
    Current status for the stage.
    steps Sequence[ExplainQueryStepResponse]
    List of operations within the stage in dependency order (approximately chronological).
    wait_ms_avg str
    Milliseconds the average shard spent waiting to be scheduled.
    wait_ms_max str
    Milliseconds the slowest shard spent waiting to be scheduled.
    wait_ratio_avg float
    Relative amount of time the average shard spent waiting to be scheduled.
    wait_ratio_max float
    Relative amount of time the slowest shard spent waiting to be scheduled.
    write_ms_avg str
    Milliseconds the average shard spent on writing output.
    write_ms_max str
    Milliseconds the slowest shard spent on writing output.
    write_ratio_avg float
    Relative amount of time the average shard spent on writing output.
    write_ratio_max float
    Relative amount of time the slowest shard spent on writing output.
    completedParallelInputs String
    Number of parallel input segments completed.
    computeMsAvg String
    Milliseconds the average shard spent on CPU-bound tasks.
    computeMsMax String
    Milliseconds the slowest shard spent on CPU-bound tasks.
    computeRatioAvg Number
    Relative amount of time the average shard spent on CPU-bound tasks.
    computeRatioMax Number
    Relative amount of time the slowest shard spent on CPU-bound tasks.
    endMs String
    Stage end time represented as milliseconds since epoch.
    inputStages List<String>
    IDs for stages that are inputs to this stage.
    name String
    Human-readable name for stage.
    parallelInputs String
    Number of parallel input segments to be processed.
    readMsAvg String
    Milliseconds the average shard spent reading input.
    readMsMax String
    Milliseconds the slowest shard spent reading input.
    readRatioAvg Number
    Relative amount of time the average shard spent reading input.
    readRatioMax Number
    Relative amount of time the slowest shard spent reading input.
    recordsRead String
    Number of records read into the stage.
    recordsWritten String
    Number of records written by the stage.
    shuffleOutputBytes String
    Total number of bytes written to shuffle.
    shuffleOutputBytesSpilled String
    Total number of bytes written to shuffle and spilled to disk.
    slotMs String
    Slot-milliseconds used by the stage.
    startMs String
    Stage start time represented as milliseconds since epoch.
    status String
    Current status for the stage.
    steps List<Property Map>
    List of operations within the stage in dependency order (approximately chronological).
    waitMsAvg String
    Milliseconds the average shard spent waiting to be scheduled.
    waitMsMax String
    Milliseconds the slowest shard spent waiting to be scheduled.
    waitRatioAvg Number
    Relative amount of time the average shard spent waiting to be scheduled.
    waitRatioMax Number
    Relative amount of time the slowest shard spent waiting to be scheduled.
    writeMsAvg String
    Milliseconds the average shard spent on writing output.
    writeMsMax String
    Milliseconds the slowest shard spent on writing output.
    writeRatioAvg Number
    Relative amount of time the average shard spent on writing output.
    writeRatioMax Number
    Relative amount of time the slowest shard spent on writing output.

    ExplainQueryStepResponse, ExplainQueryStepResponseArgs

    Kind string
    Machine-readable operation type.
    Substeps List<string>
    Human-readable stage descriptions.
    Kind string
    Machine-readable operation type.
    Substeps []string
    Human-readable stage descriptions.
    kind String
    Machine-readable operation type.
    substeps List<String>
    Human-readable stage descriptions.
    kind string
    Machine-readable operation type.
    substeps string[]
    Human-readable stage descriptions.
    kind str
    Machine-readable operation type.
    substeps Sequence[str]
    Human-readable stage descriptions.
    kind String
    Machine-readable operation type.
    substeps List<String>
    Human-readable stage descriptions.

    HivePartitioningOptions, HivePartitioningOptionsArgs

    Mode string
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    RequirePartitionFilter bool
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    SourceUriPrefix string
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    Mode string
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    RequirePartitionFilter bool
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    SourceUriPrefix string
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    mode String
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    requirePartitionFilter Boolean
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    sourceUriPrefix String
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    mode string
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    requirePartitionFilter boolean
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    sourceUriPrefix string
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    mode str
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    require_partition_filter bool
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    source_uri_prefix str
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    mode String
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    requirePartitionFilter Boolean
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    sourceUriPrefix String
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).

    HivePartitioningOptionsResponse, HivePartitioningOptionsResponseArgs

    Fields List<string>
    For permanent external tables, this field is populated with the hive partition keys in the order they were inferred. The types of the partition keys can be deduced by checking the table schema (which will include the partition keys). Not every API will populate this field in the output. For example, Tables.Get will populate it, but Tables.List will not contain this field.
    Mode string
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    RequirePartitionFilter bool
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    SourceUriPrefix string
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    Fields []string
    For permanent external tables, this field is populated with the hive partition keys in the order they were inferred. The types of the partition keys can be deduced by checking the table schema (which will include the partition keys). Not every API will populate this field in the output. For example, Tables.Get will populate it, but Tables.List will not contain this field.
    Mode string
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    RequirePartitionFilter bool
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    SourceUriPrefix string
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    fields List<String>
    For permanent external tables, this field is populated with the hive partition keys in the order they were inferred. The types of the partition keys can be deduced by checking the table schema (which will include the partition keys). Not every API will populate this field in the output. For example, Tables.Get will populate it, but Tables.List will not contain this field.
    mode String
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    requirePartitionFilter Boolean
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    sourceUriPrefix String
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    fields string[]
    For permanent external tables, this field is populated with the hive partition keys in the order they were inferred. The types of the partition keys can be deduced by checking the table schema (which will include the partition keys). Not every API will populate this field in the output. For example, Tables.Get will populate it, but Tables.List will not contain this field.
    mode string
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    requirePartitionFilter boolean
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    sourceUriPrefix string
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    fields Sequence[str]
    For permanent external tables, this field is populated with the hive partition keys in the order they were inferred. The types of the partition keys can be deduced by checking the table schema (which will include the partition keys). Not every API will populate this field in the output. For example, Tables.Get will populate it, but Tables.List will not contain this field.
    mode str
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    require_partition_filter bool
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    source_uri_prefix str
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).
    fields List<String>
    For permanent external tables, this field is populated with the hive partition keys in the order they were inferred. The types of the partition keys can be deduced by checking the table schema (which will include the partition keys). Not every API will populate this field in the output. For example, Tables.Get will populate it, but Tables.List will not contain this field.
    mode String
    [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
    requirePartitionFilter Boolean
    [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
    sourceUriPrefix String
    [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout. gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro When hive partitioning is requested with either AUTO or STRINGS detection, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).

    IndexUnusedReasonResponse, IndexUnusedReasonResponseArgs

    BaseTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    Specifies the base table involved in the reason that no search index was used.
    Code string
    Specifies the high-level reason for the scenario when no search index was used.
    IndexName string
    Specifies the name of the unused search index, if available.
    Message string
    Free form human-readable reason for the scenario when no search index was used.
    BaseTable TableReferenceResponse
    Specifies the base table involved in the reason that no search index was used.
    Code string
    Specifies the high-level reason for the scenario when no search index was used.
    IndexName string
    Specifies the name of the unused search index, if available.
    Message string
    Free form human-readable reason for the scenario when no search index was used.
    baseTable TableReferenceResponse
    Specifies the base table involved in the reason that no search index was used.
    code String
    Specifies the high-level reason for the scenario when no search index was used.
    indexName String
    Specifies the name of the unused search index, if available.
    message String
    Free form human-readable reason for the scenario when no search index was used.
    baseTable TableReferenceResponse
    Specifies the base table involved in the reason that no search index was used.
    code string
    Specifies the high-level reason for the scenario when no search index was used.
    indexName string
    Specifies the name of the unused search index, if available.
    message string
    Free form human-readable reason for the scenario when no search index was used.
    base_table TableReferenceResponse
    Specifies the base table involved in the reason that no search index was used.
    code str
    Specifies the high-level reason for the scenario when no search index was used.
    index_name str
    Specifies the name of the unused search index, if available.
    message str
    Free form human-readable reason for the scenario when no search index was used.
    baseTable Property Map
    Specifies the base table involved in the reason that no search index was used.
    code String
    Specifies the high-level reason for the scenario when no search index was used.
    indexName String
    Specifies the name of the unused search index, if available.
    message String
    Free form human-readable reason for the scenario when no search index was used.

    IterationResultResponse, IterationResultResponseArgs

    DurationMs string
    Time taken to run the iteration in milliseconds.
    EvalLoss double
    Loss computed on the eval data at the end of iteration.
    Index int
    Index of the iteration, 0 based.
    LearnRate double
    Learn rate used for this iteration.
    TrainingLoss double
    Loss computed on the training data at the end of iteration.
    DurationMs string
    Time taken to run the iteration in milliseconds.
    EvalLoss float64
    Loss computed on the eval data at the end of iteration.
    Index int
    Index of the iteration, 0 based.
    LearnRate float64
    Learn rate used for this iteration.
    TrainingLoss float64
    Loss computed on the training data at the end of iteration.
    durationMs String
    Time taken to run the iteration in milliseconds.
    evalLoss Double
    Loss computed on the eval data at the end of iteration.
    index Integer
    Index of the iteration, 0 based.
    learnRate Double
    Learn rate used for this iteration.
    trainingLoss Double
    Loss computed on the training data at the end of iteration.
    durationMs string
    Time taken to run the iteration in milliseconds.
    evalLoss number
    Loss computed on the eval data at the end of iteration.
    index number
    Index of the iteration, 0 based.
    learnRate number
    Learn rate used for this iteration.
    trainingLoss number
    Loss computed on the training data at the end of iteration.
    duration_ms str
    Time taken to run the iteration in milliseconds.
    eval_loss float
    Loss computed on the eval data at the end of iteration.
    index int
    Index of the iteration, 0 based.
    learn_rate float
    Learn rate used for this iteration.
    training_loss float
    Loss computed on the training data at the end of iteration.
    durationMs String
    Time taken to run the iteration in milliseconds.
    evalLoss Number
    Loss computed on the eval data at the end of iteration.
    index Number
    Index of the iteration, 0 based.
    learnRate Number
    Learn rate used for this iteration.
    trainingLoss Number
    Loss computed on the training data at the end of iteration.

    JobConfiguration, JobConfigurationArgs

    Copy Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationTableCopy
    [Pick one] Copies a table.
    DryRun bool
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    Extract Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationExtract
    [Pick one] Configures an extract job.
    JobTimeoutMs string
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    Labels Dictionary<string, string>
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    Load Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationLoad
    [Pick one] Configures a load job.
    Query Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationQuery
    [Pick one] Configures a query job.
    Copy JobConfigurationTableCopy
    [Pick one] Copies a table.
    DryRun bool
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    Extract JobConfigurationExtract
    [Pick one] Configures an extract job.
    JobTimeoutMs string
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    Labels map[string]string
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    Load JobConfigurationLoad
    [Pick one] Configures a load job.
    Query JobConfigurationQuery
    [Pick one] Configures a query job.
    copy JobConfigurationTableCopy
    [Pick one] Copies a table.
    dryRun Boolean
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract JobConfigurationExtract
    [Pick one] Configures an extract job.
    jobTimeoutMs String
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    labels Map<String,String>
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load JobConfigurationLoad
    [Pick one] Configures a load job.
    query JobConfigurationQuery
    [Pick one] Configures a query job.
    copy JobConfigurationTableCopy
    [Pick one] Copies a table.
    dryRun boolean
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract JobConfigurationExtract
    [Pick one] Configures an extract job.
    jobTimeoutMs string
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    labels {[key: string]: string}
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load JobConfigurationLoad
    [Pick one] Configures a load job.
    query JobConfigurationQuery
    [Pick one] Configures a query job.
    copy JobConfigurationTableCopy
    [Pick one] Copies a table.
    dry_run bool
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract JobConfigurationExtract
    [Pick one] Configures an extract job.
    job_timeout_ms str
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    labels Mapping[str, str]
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load JobConfigurationLoad
    [Pick one] Configures a load job.
    query JobConfigurationQuery
    [Pick one] Configures a query job.
    copy Property Map
    [Pick one] Copies a table.
    dryRun Boolean
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract Property Map
    [Pick one] Configures an extract job.
    jobTimeoutMs String
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    labels Map<String>
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load Property Map
    [Pick one] Configures a load job.
    query Property Map
    [Pick one] Configures a query job.

    JobConfigurationExtract, JobConfigurationExtractArgs

    Compression string
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    DestinationFormat string
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    DestinationUri string
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    DestinationUris List<string>
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    FieldDelimiter string
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    PrintHeader bool
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    SourceModel Pulumi.GoogleNative.BigQuery.V2.Inputs.ModelReference
    A reference to the model being exported.
    SourceTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReference
    A reference to the table being exported.
    UseAvroLogicalTypes bool
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    Compression string
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    DestinationFormat string
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    DestinationUri string
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    DestinationUris []string
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    FieldDelimiter string
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    PrintHeader bool
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    SourceModel ModelReference
    A reference to the model being exported.
    SourceTable TableReference
    A reference to the table being exported.
    UseAvroLogicalTypes bool
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression String
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destinationFormat String
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destinationUri String
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destinationUris List<String>
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    fieldDelimiter String
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    printHeader Boolean
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    sourceModel ModelReference
    A reference to the model being exported.
    sourceTable TableReference
    A reference to the table being exported.
    useAvroLogicalTypes Boolean
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression string
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destinationFormat string
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destinationUri string
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destinationUris string[]
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    fieldDelimiter string
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    printHeader boolean
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    sourceModel ModelReference
    A reference to the model being exported.
    sourceTable TableReference
    A reference to the table being exported.
    useAvroLogicalTypes boolean
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression str
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destination_format str
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destination_uri str
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destination_uris Sequence[str]
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    field_delimiter str
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    print_header bool
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    source_model ModelReference
    A reference to the model being exported.
    source_table TableReference
    A reference to the table being exported.
    use_avro_logical_types bool
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression String
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destinationFormat String
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destinationUri String
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destinationUris List<String>
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    fieldDelimiter String
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    printHeader Boolean
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    sourceModel Property Map
    A reference to the model being exported.
    sourceTable Property Map
    A reference to the table being exported.
    useAvroLogicalTypes Boolean
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.

    JobConfigurationExtractResponse, JobConfigurationExtractResponseArgs

    Compression string
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    DestinationFormat string
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    DestinationUri string
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    DestinationUris List<string>
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    FieldDelimiter string
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    PrintHeader bool
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    SourceModel Pulumi.GoogleNative.BigQuery.V2.Inputs.ModelReferenceResponse
    A reference to the model being exported.
    SourceTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    A reference to the table being exported.
    UseAvroLogicalTypes bool
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    Compression string
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    DestinationFormat string
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    DestinationUri string
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    DestinationUris []string
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    FieldDelimiter string
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    PrintHeader bool
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    SourceModel ModelReferenceResponse
    A reference to the model being exported.
    SourceTable TableReferenceResponse
    A reference to the table being exported.
    UseAvroLogicalTypes bool
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression String
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destinationFormat String
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destinationUri String
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destinationUris List<String>
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    fieldDelimiter String
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    printHeader Boolean
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    sourceModel ModelReferenceResponse
    A reference to the model being exported.
    sourceTable TableReferenceResponse
    A reference to the table being exported.
    useAvroLogicalTypes Boolean
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression string
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destinationFormat string
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destinationUri string
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destinationUris string[]
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    fieldDelimiter string
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    printHeader boolean
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    sourceModel ModelReferenceResponse
    A reference to the model being exported.
    sourceTable TableReferenceResponse
    A reference to the table being exported.
    useAvroLogicalTypes boolean
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression str
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destination_format str
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destination_uri str
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destination_uris Sequence[str]
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    field_delimiter str
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    print_header bool
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    source_model ModelReferenceResponse
    A reference to the model being exported.
    source_table TableReferenceResponse
    A reference to the table being exported.
    use_avro_logical_types bool
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.
    compression String
    [Optional] The compression type to use for exported files. Possible values include GZIP, DEFLATE, SNAPPY, and NONE. The default value is NONE. DEFLATE and SNAPPY are only supported for Avro. Not applicable when extracting models.
    destinationFormat String
    [Optional] The exported file format. Possible values include CSV, NEWLINE_DELIMITED_JSON, PARQUET or AVRO for tables and ML_TF_SAVED_MODEL or ML_XGBOOST_BOOSTER for models. The default value for tables is CSV. Tables with nested or repeated fields cannot be exported as CSV. The default value for models is ML_TF_SAVED_MODEL.
    destinationUri String
    [Pick one] DEPRECATED: Use destinationUris instead, passing only one URI as necessary. The fully-qualified Google Cloud Storage URI where the extracted table should be written.
    destinationUris List<String>
    [Pick one] A list of fully-qualified Google Cloud Storage URIs where the extracted table should be written.
    fieldDelimiter String
    [Optional] Delimiter to use between fields in the exported data. Default is ','. Not applicable when extracting models.
    printHeader Boolean
    [Optional] Whether to print out a header row in the results. Default is true. Not applicable when extracting models.
    sourceModel Property Map
    A reference to the model being exported.
    sourceTable Property Map
    A reference to the table being exported.
    useAvroLogicalTypes Boolean
    [Optional] If destinationFormat is set to "AVRO", this flag indicates whether to enable extracting applicable column types (such as TIMESTAMP) to their corresponding AVRO logical types (timestamp-micros), instead of only using their raw types (avro-long). Not applicable when extracting models.

    JobConfigurationLoad, JobConfigurationLoadArgs

    AllowJaggedRows bool
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    AllowQuotedNewlines bool
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    Autodetect bool
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    Clustering Pulumi.GoogleNative.BigQuery.V2.Inputs.Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ConnectionProperty>
    Connection properties.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    DecimalTargetTypes List<string>
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    DestinationEncryptionConfiguration Pulumi.GoogleNative.BigQuery.V2.Inputs.EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReference
    [Required] The destination table to load the data into.
    DestinationTableProperties Pulumi.GoogleNative.BigQuery.V2.Inputs.DestinationTableProperties
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    Encoding string
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    FieldDelimiter string
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    FileSetSpecType string
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    HivePartitioningOptions Pulumi.GoogleNative.BigQuery.V2.Inputs.HivePartitioningOptions
    [Optional] Options to configure hive partitioning support.
    IgnoreUnknownValues bool
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    JsonExtension string
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    MaxBadRecords int
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    NullMarker string
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    ParquetOptions Pulumi.GoogleNative.BigQuery.V2.Inputs.ParquetOptions
    [Optional] Options to configure parquet support.
    PreserveAsciiControlCharacters bool
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    ProjectionFields List<string>
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    Quote string
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    RangePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    ReferenceFileSchemaUri string
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    Schema Pulumi.GoogleNative.BigQuery.V2.Inputs.TableSchema
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    SchemaInline string
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    SchemaInlineFormat string
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    SchemaUpdateOptions List<string>
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    SkipLeadingRows int
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    SourceFormat string
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    SourceUris List<string>
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    TimePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseAvroLogicalTypes bool
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    AllowJaggedRows bool
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    AllowQuotedNewlines bool
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    Autodetect bool
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    Clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties []ConnectionProperty
    Connection properties.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    DecimalTargetTypes []string
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    DestinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable TableReference
    [Required] The destination table to load the data into.
    DestinationTableProperties DestinationTableProperties
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    Encoding string
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    FieldDelimiter string
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    FileSetSpecType string
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    HivePartitioningOptions HivePartitioningOptions
    [Optional] Options to configure hive partitioning support.
    IgnoreUnknownValues bool
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    JsonExtension string
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    MaxBadRecords int
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    NullMarker string
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    ParquetOptions ParquetOptions
    [Optional] Options to configure parquet support.
    PreserveAsciiControlCharacters bool
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    ProjectionFields []string
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    Quote string
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    RangePartitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    ReferenceFileSchemaUri string
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    Schema TableSchema
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    SchemaInline string
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    SchemaInlineFormat string
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    SchemaUpdateOptions []string
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    SkipLeadingRows int
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    SourceFormat string
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    SourceUris []string
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    TimePartitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseAvroLogicalTypes bool
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowJaggedRows Boolean
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allowQuotedNewlines Boolean
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect Boolean
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<ConnectionProperty>
    Connection properties.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimalTargetTypes List<String>
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReference
    [Required] The destination table to load the data into.
    destinationTableProperties DestinationTableProperties
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding String
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    fieldDelimiter String
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    fileSetSpecType String
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hivePartitioningOptions HivePartitioningOptions
    [Optional] Options to configure hive partitioning support.
    ignoreUnknownValues Boolean
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    jsonExtension String
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    maxBadRecords Integer
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    nullMarker String
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquetOptions ParquetOptions
    [Optional] Options to configure parquet support.
    preserveAsciiControlCharacters Boolean
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projectionFields List<String>
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote String
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    rangePartitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    referenceFileSchemaUri String
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema TableSchema
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schemaInline String
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schemaInlineFormat String
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skipLeadingRows Integer
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    sourceFormat String
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    sourceUris List<String>
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    timePartitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useAvroLogicalTypes Boolean
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowJaggedRows boolean
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allowQuotedNewlines boolean
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect boolean
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties ConnectionProperty[]
    Connection properties.
    createDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimalTargetTypes string[]
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReference
    [Required] The destination table to load the data into.
    destinationTableProperties DestinationTableProperties
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding string
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    fieldDelimiter string
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    fileSetSpecType string
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hivePartitioningOptions HivePartitioningOptions
    [Optional] Options to configure hive partitioning support.
    ignoreUnknownValues boolean
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    jsonExtension string
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    maxBadRecords number
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    nullMarker string
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquetOptions ParquetOptions
    [Optional] Options to configure parquet support.
    preserveAsciiControlCharacters boolean
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projectionFields string[]
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote string
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    rangePartitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    referenceFileSchemaUri string
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema TableSchema
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schemaInline string
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schemaInlineFormat string
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schemaUpdateOptions string[]
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skipLeadingRows number
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    sourceFormat string
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    sourceUris string[]
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    timePartitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useAvroLogicalTypes boolean
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    writeDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allow_jagged_rows bool
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allow_quoted_newlines bool
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect bool
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connection_properties Sequence[ConnectionProperty]
    Connection properties.
    create_disposition str
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    create_session bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimal_target_types Sequence[str]
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destination_encryption_configuration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destination_table TableReference
    [Required] The destination table to load the data into.
    destination_table_properties DestinationTableProperties
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding str
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    field_delimiter str
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    file_set_spec_type str
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hive_partitioning_options HivePartitioningOptions
    [Optional] Options to configure hive partitioning support.
    ignore_unknown_values bool
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    json_extension str
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    max_bad_records int
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    null_marker str
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquet_options ParquetOptions
    [Optional] Options to configure parquet support.
    preserve_ascii_control_characters bool
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projection_fields Sequence[str]
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote str
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    range_partitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    reference_file_schema_uri str
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema TableSchema
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schema_inline str
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schema_inline_format str
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schema_update_options Sequence[str]
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skip_leading_rows int
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    source_format str
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    source_uris Sequence[str]
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    time_partitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    use_avro_logical_types bool
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    write_disposition str
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowJaggedRows Boolean
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allowQuotedNewlines Boolean
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect Boolean
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering Property Map
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<Property Map>
    Connection properties.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimalTargetTypes List<String>
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destinationEncryptionConfiguration Property Map
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable Property Map
    [Required] The destination table to load the data into.
    destinationTableProperties Property Map
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding String
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    fieldDelimiter String
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    fileSetSpecType String
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hivePartitioningOptions Property Map
    [Optional] Options to configure hive partitioning support.
    ignoreUnknownValues Boolean
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    jsonExtension String
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    maxBadRecords Number
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    nullMarker String
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquetOptions Property Map
    [Optional] Options to configure parquet support.
    preserveAsciiControlCharacters Boolean
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projectionFields List<String>
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote String
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    rangePartitioning Property Map
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    referenceFileSchemaUri String
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema Property Map
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schemaInline String
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schemaInlineFormat String
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skipLeadingRows Number
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    sourceFormat String
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    sourceUris List<String>
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    timePartitioning Property Map
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useAvroLogicalTypes Boolean
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.

    JobConfigurationLoadResponse, JobConfigurationLoadResponseArgs

    AllowJaggedRows bool
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    AllowQuotedNewlines bool
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    Autodetect bool
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    Clustering Pulumi.GoogleNative.BigQuery.V2.Inputs.ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ConnectionPropertyResponse>
    Connection properties.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    DecimalTargetTypes List<string>
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    DestinationEncryptionConfiguration Pulumi.GoogleNative.BigQuery.V2.Inputs.EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    [Required] The destination table to load the data into.
    DestinationTableProperties Pulumi.GoogleNative.BigQuery.V2.Inputs.DestinationTablePropertiesResponse
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    Encoding string
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    FieldDelimiter string
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    FileSetSpecType string
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    HivePartitioningOptions Pulumi.GoogleNative.BigQuery.V2.Inputs.HivePartitioningOptionsResponse
    [Optional] Options to configure hive partitioning support.
    IgnoreUnknownValues bool
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    JsonExtension string
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    MaxBadRecords int
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    NullMarker string
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    ParquetOptions Pulumi.GoogleNative.BigQuery.V2.Inputs.ParquetOptionsResponse
    [Optional] Options to configure parquet support.
    PreserveAsciiControlCharacters bool
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    ProjectionFields List<string>
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    Quote string
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    RangePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    ReferenceFileSchemaUri string
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    Schema Pulumi.GoogleNative.BigQuery.V2.Inputs.TableSchemaResponse
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    SchemaInline string
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    SchemaInlineFormat string
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    SchemaUpdateOptions List<string>
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    SkipLeadingRows int
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    SourceFormat string
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    SourceUris List<string>
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    TimePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseAvroLogicalTypes bool
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    AllowJaggedRows bool
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    AllowQuotedNewlines bool
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    Autodetect bool
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    Clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties []ConnectionPropertyResponse
    Connection properties.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    DecimalTargetTypes []string
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    DestinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable TableReferenceResponse
    [Required] The destination table to load the data into.
    DestinationTableProperties DestinationTablePropertiesResponse
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    Encoding string
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    FieldDelimiter string
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    FileSetSpecType string
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    HivePartitioningOptions HivePartitioningOptionsResponse
    [Optional] Options to configure hive partitioning support.
    IgnoreUnknownValues bool
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    JsonExtension string
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    MaxBadRecords int
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    NullMarker string
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    ParquetOptions ParquetOptionsResponse
    [Optional] Options to configure parquet support.
    PreserveAsciiControlCharacters bool
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    ProjectionFields []string
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    Quote string
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    RangePartitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    ReferenceFileSchemaUri string
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    Schema TableSchemaResponse
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    SchemaInline string
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    SchemaInlineFormat string
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    SchemaUpdateOptions []string
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    SkipLeadingRows int
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    SourceFormat string
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    SourceUris []string
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    TimePartitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseAvroLogicalTypes bool
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowJaggedRows Boolean
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allowQuotedNewlines Boolean
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect Boolean
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<ConnectionPropertyResponse>
    Connection properties.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimalTargetTypes List<String>
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReferenceResponse
    [Required] The destination table to load the data into.
    destinationTableProperties DestinationTablePropertiesResponse
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding String
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    fieldDelimiter String
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    fileSetSpecType String
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hivePartitioningOptions HivePartitioningOptionsResponse
    [Optional] Options to configure hive partitioning support.
    ignoreUnknownValues Boolean
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    jsonExtension String
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    maxBadRecords Integer
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    nullMarker String
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquetOptions ParquetOptionsResponse
    [Optional] Options to configure parquet support.
    preserveAsciiControlCharacters Boolean
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projectionFields List<String>
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote String
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    rangePartitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    referenceFileSchemaUri String
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema TableSchemaResponse
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schemaInline String
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schemaInlineFormat String
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skipLeadingRows Integer
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    sourceFormat String
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    sourceUris List<String>
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    timePartitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useAvroLogicalTypes Boolean
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowJaggedRows boolean
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allowQuotedNewlines boolean
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect boolean
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties ConnectionPropertyResponse[]
    Connection properties.
    createDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimalTargetTypes string[]
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReferenceResponse
    [Required] The destination table to load the data into.
    destinationTableProperties DestinationTablePropertiesResponse
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding string
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    fieldDelimiter string
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    fileSetSpecType string
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hivePartitioningOptions HivePartitioningOptionsResponse
    [Optional] Options to configure hive partitioning support.
    ignoreUnknownValues boolean
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    jsonExtension string
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    maxBadRecords number
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    nullMarker string
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquetOptions ParquetOptionsResponse
    [Optional] Options to configure parquet support.
    preserveAsciiControlCharacters boolean
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projectionFields string[]
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote string
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    rangePartitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    referenceFileSchemaUri string
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema TableSchemaResponse
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schemaInline string
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schemaInlineFormat string
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schemaUpdateOptions string[]
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skipLeadingRows number
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    sourceFormat string
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    sourceUris string[]
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    timePartitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useAvroLogicalTypes boolean
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    writeDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allow_jagged_rows bool
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allow_quoted_newlines bool
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect bool
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connection_properties Sequence[ConnectionPropertyResponse]
    Connection properties.
    create_disposition str
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    create_session bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimal_target_types Sequence[str]
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destination_encryption_configuration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destination_table TableReferenceResponse
    [Required] The destination table to load the data into.
    destination_table_properties DestinationTablePropertiesResponse
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding str
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    field_delimiter str
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    file_set_spec_type str
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hive_partitioning_options HivePartitioningOptionsResponse
    [Optional] Options to configure hive partitioning support.
    ignore_unknown_values bool
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    json_extension str
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    max_bad_records int
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    null_marker str
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquet_options ParquetOptionsResponse
    [Optional] Options to configure parquet support.
    preserve_ascii_control_characters bool
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projection_fields Sequence[str]
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote str
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    range_partitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    reference_file_schema_uri str
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema TableSchemaResponse
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schema_inline str
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schema_inline_format str
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schema_update_options Sequence[str]
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skip_leading_rows int
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    source_format str
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    source_uris Sequence[str]
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    time_partitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    use_avro_logical_types bool
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    write_disposition str
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowJaggedRows Boolean
    [Optional] Accept rows that are missing trailing optional columns. The missing values are treated as nulls. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. Only applicable to CSV, ignored for other formats.
    allowQuotedNewlines Boolean
    Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
    autodetect Boolean
    [Optional] Indicates if we should automatically infer the options and schema for CSV and JSON sources.
    clustering Property Map
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<Property Map>
    Connection properties.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs the load job in non-session mode.
    decimalTargetTypes List<String>
    [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.
    destinationEncryptionConfiguration Property Map
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable Property Map
    [Required] The destination table to load the data into.
    destinationTableProperties Property Map
    [Beta] [Optional] Properties with which to create the destination table if it is new.
    encoding String
    [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
    fieldDelimiter String
    [Optional] The separator for fields in a CSV file. The separator can be any ISO-8859-1 single-byte character. To use a character in the range 128-255, you must encode the character as UTF8. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
    fileSetSpecType String
    [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.
    hivePartitioningOptions Property Map
    [Optional] Options to configure hive partitioning support.
    ignoreUnknownValues Boolean
    [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names
    jsonExtension String
    [Optional] If sourceFormat is set to newline-delimited JSON, indicates whether it should be processed as a JSON variant such as GeoJSON. For a sourceFormat other than JSON, omit this field. If the sourceFormat is newline-delimited JSON: - for newline-delimited GeoJSON: set to GEOJSON.
    maxBadRecords Number
    [Optional] The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV and JSON. The default value is 0, which requires that all records are valid.
    nullMarker String
    [Optional] Specifies a string that represents a null value in a CSV file. For example, if you specify "\N", BigQuery interprets "\N" as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
    parquetOptions Property Map
    [Optional] Options to configure parquet support.
    preserveAsciiControlCharacters Boolean
    [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
    projectionFields List<String>
    If sourceFormat is set to "DATASTORE_BACKUP", indicates which entity properties to load into BigQuery from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If no properties are specified, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned in the job result.
    quote String
    [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
    rangePartitioning Property Map
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    referenceFileSchemaUri String
    User provided referencing file with the expected reader schema, Available for the format: AVRO, PARQUET, ORC.
    schema Property Map
    [Optional] The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.
    schemaInline String
    [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    Deprecated: [Deprecated] The inline schema. For CSV schemas, specify as "Field1:Type1[,Field2:Type2]*". For example, "foo:STRING, bar:INTEGER, baz:FLOAT".

    schemaInlineFormat String
    [Deprecated] The format of the schemaInline property.

    Deprecated: [Deprecated] The format of the schemaInline property.

    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    skipLeadingRows Number
    [Optional] The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
    sourceFormat String
    [Optional] The format of the data files. For CSV files, specify "CSV". For datastore backups, specify "DATASTORE_BACKUP". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro, specify "AVRO". For parquet, specify "PARQUET". For orc, specify "ORC". The default value is CSV.
    sourceUris List<String>
    [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.
    timePartitioning Property Map
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useAvroLogicalTypes Boolean
    [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_APPEND. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.

    JobConfigurationQuery, JobConfigurationQueryArgs

    AllowLargeResults bool
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    Clustering Pulumi.GoogleNative.BigQuery.V2.Inputs.Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ConnectionProperty>
    Connection properties.
    Continuous bool
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    DefaultDataset Pulumi.GoogleNative.BigQuery.V2.Inputs.DatasetReference
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    DestinationEncryptionConfiguration Pulumi.GoogleNative.BigQuery.V2.Inputs.EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReference
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    FlattenResults bool
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    MaximumBillingTier int
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    MaximumBytesBilled string
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    ParameterMode string
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    PreserveNulls bool
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    Priority string
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    Query string
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    QueryParameters List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameter>
    Query parameters for standard SQL queries.
    RangePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    SchemaUpdateOptions List<string>
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    TableDefinitions Dictionary<string, string>
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    TimePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseLegacySql bool
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    UseQueryCache bool
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    UserDefinedFunctionResources List<Pulumi.GoogleNative.BigQuery.V2.Inputs.UserDefinedFunctionResource>
    Describes user-defined function resources used in the query.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    AllowLargeResults bool
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    Clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties []ConnectionProperty
    Connection properties.
    Continuous bool
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    DefaultDataset DatasetReference
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    DestinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable TableReference
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    FlattenResults bool
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    MaximumBillingTier int
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    MaximumBytesBilled string
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    ParameterMode string
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    PreserveNulls bool
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    Priority string
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    Query string
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    QueryParameters []QueryParameter
    Query parameters for standard SQL queries.
    RangePartitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    SchemaUpdateOptions []string
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    TableDefinitions map[string]string
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    TimePartitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseLegacySql bool
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    UseQueryCache bool
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    UserDefinedFunctionResources []UserDefinedFunctionResource
    Describes user-defined function resources used in the query.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowLargeResults Boolean
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<ConnectionProperty>
    Connection properties.
    continuous Boolean
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    defaultDataset DatasetReference
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReference
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flattenResults Boolean
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximumBillingTier Integer
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximumBytesBilled String
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameterMode String
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserveNulls Boolean
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority String
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query String
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    queryParameters List<QueryParameter>
    Query parameters for standard SQL queries.
    rangePartitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    tableDefinitions Map<String,String>
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    timePartitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useLegacySql Boolean
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    useQueryCache Boolean
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    userDefinedFunctionResources List<UserDefinedFunctionResource>
    Describes user-defined function resources used in the query.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowLargeResults boolean
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties ConnectionProperty[]
    Connection properties.
    continuous boolean
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    createDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    defaultDataset DatasetReference
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReference
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flattenResults boolean
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximumBillingTier number
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximumBytesBilled string
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameterMode string
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserveNulls boolean
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority string
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query string
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    queryParameters QueryParameter[]
    Query parameters for standard SQL queries.
    rangePartitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schemaUpdateOptions string[]
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    tableDefinitions {[key: string]: string}
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    timePartitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useLegacySql boolean
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    useQueryCache boolean
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    userDefinedFunctionResources UserDefinedFunctionResource[]
    Describes user-defined function resources used in the query.
    writeDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allow_large_results bool
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering Clustering
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connection_properties Sequence[ConnectionProperty]
    Connection properties.
    continuous bool
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    create_disposition str
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    create_session bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    default_dataset DatasetReference
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destination_encryption_configuration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destination_table TableReference
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flatten_results bool
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximum_billing_tier int
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximum_bytes_billed str
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameter_mode str
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserve_nulls bool
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority str
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query str
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    query_parameters Sequence[QueryParameter]
    Query parameters for standard SQL queries.
    range_partitioning RangePartitioning
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schema_update_options Sequence[str]
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    table_definitions Mapping[str, str]
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    time_partitioning TimePartitioning
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    use_legacy_sql bool
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    use_query_cache bool
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    user_defined_function_resources Sequence[UserDefinedFunctionResource]
    Describes user-defined function resources used in the query.
    write_disposition str
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowLargeResults Boolean
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering Property Map
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<Property Map>
    Connection properties.
    continuous Boolean
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    defaultDataset Property Map
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destinationEncryptionConfiguration Property Map
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable Property Map
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flattenResults Boolean
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximumBillingTier Number
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximumBytesBilled String
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameterMode String
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserveNulls Boolean
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority String
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query String
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    queryParameters List<Property Map>
    Query parameters for standard SQL queries.
    rangePartitioning Property Map
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    tableDefinitions Map<String>
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    timePartitioning Property Map
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useLegacySql Boolean
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    useQueryCache Boolean
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    userDefinedFunctionResources List<Property Map>
    Describes user-defined function resources used in the query.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.

    JobConfigurationQueryResponse, JobConfigurationQueryResponseArgs

    AllowLargeResults bool
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    Clustering Pulumi.GoogleNative.BigQuery.V2.Inputs.ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ConnectionPropertyResponse>
    Connection properties.
    Continuous bool
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    DefaultDataset Pulumi.GoogleNative.BigQuery.V2.Inputs.DatasetReferenceResponse
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    DestinationEncryptionConfiguration Pulumi.GoogleNative.BigQuery.V2.Inputs.EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    FlattenResults bool
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    MaximumBillingTier int
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    MaximumBytesBilled string
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    ParameterMode string
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    PreserveNulls bool
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    Priority string
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    Query string
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    QueryParameters List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterResponse>
    Query parameters for standard SQL queries.
    RangePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    SchemaUpdateOptions List<string>
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    TableDefinitions Dictionary<string, string>
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    TimePartitioning Pulumi.GoogleNative.BigQuery.V2.Inputs.TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseLegacySql bool
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    UseQueryCache bool
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    UserDefinedFunctionResources List<Pulumi.GoogleNative.BigQuery.V2.Inputs.UserDefinedFunctionResourceResponse>
    Describes user-defined function resources used in the query.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    AllowLargeResults bool
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    Clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    ConnectionProperties []ConnectionPropertyResponse
    Connection properties.
    Continuous bool
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateSession bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    DefaultDataset DatasetReferenceResponse
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    DestinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationTable TableReferenceResponse
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    FlattenResults bool
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    MaximumBillingTier int
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    MaximumBytesBilled string
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    ParameterMode string
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    PreserveNulls bool
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    Priority string
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    Query string
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    QueryParameters []QueryParameterResponse
    Query parameters for standard SQL queries.
    RangePartitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    SchemaUpdateOptions []string
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    TableDefinitions map[string]string
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    TimePartitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    UseLegacySql bool
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    UseQueryCache bool
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    UserDefinedFunctionResources []UserDefinedFunctionResourceResponse
    Describes user-defined function resources used in the query.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowLargeResults Boolean
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<ConnectionPropertyResponse>
    Connection properties.
    continuous Boolean
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    defaultDataset DatasetReferenceResponse
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReferenceResponse
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flattenResults Boolean
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximumBillingTier Integer
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximumBytesBilled String
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameterMode String
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserveNulls Boolean
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority String
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query String
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    queryParameters List<QueryParameterResponse>
    Query parameters for standard SQL queries.
    rangePartitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    tableDefinitions Map<String,String>
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    timePartitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useLegacySql Boolean
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    useQueryCache Boolean
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    userDefinedFunctionResources List<UserDefinedFunctionResourceResponse>
    Describes user-defined function resources used in the query.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowLargeResults boolean
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties ConnectionPropertyResponse[]
    Connection properties.
    continuous boolean
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    createDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    defaultDataset DatasetReferenceResponse
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable TableReferenceResponse
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flattenResults boolean
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximumBillingTier number
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximumBytesBilled string
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameterMode string
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserveNulls boolean
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority string
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query string
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    queryParameters QueryParameterResponse[]
    Query parameters for standard SQL queries.
    rangePartitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schemaUpdateOptions string[]
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    tableDefinitions {[key: string]: string}
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    timePartitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useLegacySql boolean
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    useQueryCache boolean
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    userDefinedFunctionResources UserDefinedFunctionResourceResponse[]
    Describes user-defined function resources used in the query.
    writeDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allow_large_results bool
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering ClusteringResponse
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connection_properties Sequence[ConnectionPropertyResponse]
    Connection properties.
    continuous bool
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    create_disposition str
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    create_session bool
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    default_dataset DatasetReferenceResponse
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destination_encryption_configuration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destination_table TableReferenceResponse
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flatten_results bool
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximum_billing_tier int
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximum_bytes_billed str
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameter_mode str
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserve_nulls bool
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority str
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query str
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    query_parameters Sequence[QueryParameterResponse]
    Query parameters for standard SQL queries.
    range_partitioning RangePartitioningResponse
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schema_update_options Sequence[str]
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    table_definitions Mapping[str, str]
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    time_partitioning TimePartitioningResponse
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    use_legacy_sql bool
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    use_query_cache bool
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    user_defined_function_resources Sequence[UserDefinedFunctionResourceResponse]
    Describes user-defined function resources used in the query.
    write_disposition str
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    allowLargeResults Boolean
    [Optional] If true and query uses legacy SQL dialect, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires destinationTable to be set. For standard SQL queries, this flag is ignored and large results are always allowed. However, you must still set destinationTable when result size exceeds the allowed maximum response size.
    clustering Property Map
    [Beta] Clustering specification for the destination table. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered.
    connectionProperties List<Property Map>
    Connection properties.
    continuous Boolean
    [Optional] Specifies whether the query should be executed as a continuous query. The default value is false.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    createSession Boolean
    If true, creates a new session, where session id will be a server generated random id. If false, runs query with an existing session_id passed in ConnectionProperty, otherwise runs query in non-session mode.
    defaultDataset Property Map
    [Optional] Specifies the default dataset to use for unqualified table names in the query. Note that this does not alter behavior of unqualified dataset names.
    destinationEncryptionConfiguration Property Map
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationTable Property Map
    [Optional] Describes the table where the query results should be stored. If not present, a new table will be created to store the results. This property must be set for large results that exceed the maximum response size.
    flattenResults Boolean
    [Optional] If true and query uses legacy SQL dialect, flattens all nested and repeated fields in the query results. allowLargeResults must be true if this is set to false. For standard SQL queries, this flag is ignored and results are never flattened.
    maximumBillingTier Number
    [Optional] Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). If unspecified, this will be set to your project default.
    maximumBytesBilled String
    [Optional] Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). If unspecified, this will be set to your project default.
    parameterMode String
    Standard SQL only. Set to POSITIONAL to use positional (?) query parameters or to NAMED to use named (@myparam) query parameters in this query.
    preserveNulls Boolean
    [Deprecated] This property is deprecated.

    Deprecated: [Deprecated] This property is deprecated.

    priority String
    [Optional] Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
    query String
    [Required] SQL query text to execute. The useLegacySql field can be used to indicate whether the query uses legacy SQL or standard SQL.
    queryParameters List<Property Map>
    Query parameters for standard SQL queries.
    rangePartitioning Property Map
    [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.
    schemaUpdateOptions List<String>
    Allows the schema of the destination table to be updated as a side effect of the query job. Schema update options are supported in two cases: when writeDisposition is WRITE_APPEND; when writeDisposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified: ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema. ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.
    tableDefinitions Map<String>
    [Optional] If querying an external data source outside of BigQuery, describes the data format, location and other properties of the data source. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.
    timePartitioning Property Map
    Time-based partitioning specification for the destination table. Only one of timePartitioning and rangePartitioning should be specified.
    useLegacySql Boolean
    Specifies whether to use BigQuery's legacy SQL dialect for this query. The default value is true. If set to false, the query will use BigQuery's standard SQL: https://cloud.google.com/bigquery/sql-reference/ When useLegacySql is set to false, the value of flattenResults is ignored; query will be run as if flattenResults is false.
    useQueryCache Boolean
    [Optional] Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. Moreover, the query cache is only available when a query does not have a destination table specified. The default value is true.
    userDefinedFunctionResources List<Property Map>
    Describes user-defined function resources used in the query.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data and uses the schema from the query result. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.

    JobConfigurationResponse, JobConfigurationResponseArgs

    Copy Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationTableCopyResponse
    [Pick one] Copies a table.
    DryRun bool
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    Extract Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationExtractResponse
    [Pick one] Configures an extract job.
    JobTimeoutMs string
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    JobType string
    The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or UNKNOWN.
    Labels Dictionary<string, string>
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    Load Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationLoadResponse
    [Pick one] Configures a load job.
    Query Pulumi.GoogleNative.BigQuery.V2.Inputs.JobConfigurationQueryResponse
    [Pick one] Configures a query job.
    Copy JobConfigurationTableCopyResponse
    [Pick one] Copies a table.
    DryRun bool
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    Extract JobConfigurationExtractResponse
    [Pick one] Configures an extract job.
    JobTimeoutMs string
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    JobType string
    The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or UNKNOWN.
    Labels map[string]string
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    Load JobConfigurationLoadResponse
    [Pick one] Configures a load job.
    Query JobConfigurationQueryResponse
    [Pick one] Configures a query job.
    copy JobConfigurationTableCopyResponse
    [Pick one] Copies a table.
    dryRun Boolean
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract JobConfigurationExtractResponse
    [Pick one] Configures an extract job.
    jobTimeoutMs String
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    jobType String
    The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or UNKNOWN.
    labels Map<String,String>
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load JobConfigurationLoadResponse
    [Pick one] Configures a load job.
    query JobConfigurationQueryResponse
    [Pick one] Configures a query job.
    copy JobConfigurationTableCopyResponse
    [Pick one] Copies a table.
    dryRun boolean
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract JobConfigurationExtractResponse
    [Pick one] Configures an extract job.
    jobTimeoutMs string
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    jobType string
    The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or UNKNOWN.
    labels {[key: string]: string}
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load JobConfigurationLoadResponse
    [Pick one] Configures a load job.
    query JobConfigurationQueryResponse
    [Pick one] Configures a query job.
    copy JobConfigurationTableCopyResponse
    [Pick one] Copies a table.
    dry_run bool
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract JobConfigurationExtractResponse
    [Pick one] Configures an extract job.
    job_timeout_ms str
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    job_type str
    The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or UNKNOWN.
    labels Mapping[str, str]
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load JobConfigurationLoadResponse
    [Pick one] Configures a load job.
    query JobConfigurationQueryResponse
    [Pick one] Configures a query job.
    copy Property Map
    [Pick one] Copies a table.
    dryRun Boolean
    [Optional] If set, don't actually run this job. A valid query will return a mostly empty response with some processing statistics, while an invalid query will return the same error it would if it wasn't a dry run. Behavior of non-query jobs is undefined.
    extract Property Map
    [Pick one] Configures an extract job.
    jobTimeoutMs String
    [Optional] Job timeout in milliseconds. If this time limit is exceeded, BigQuery may attempt to terminate the job.
    jobType String
    The type of the job. Can be QUERY, LOAD, EXTRACT, COPY or UNKNOWN.
    labels Map<String>
    The labels associated with this job. You can use these to organize and group your jobs. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key.
    load Property Map
    [Pick one] Configures a load job.
    query Property Map
    [Pick one] Configures a query job.

    JobConfigurationTableCopy, JobConfigurationTableCopyArgs

    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    DestinationEncryptionConfiguration Pulumi.GoogleNative.BigQuery.V2.Inputs.EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationExpirationTime object
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    DestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReference
    [Required] The destination table
    OperationType string
    [Optional] Supported operation types in table copy job.
    SourceTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReference
    [Pick one] Source table to copy.
    SourceTables List<Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReference>
    [Pick one] Source tables to copy.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    DestinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationExpirationTime interface{}
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    DestinationTable TableReference
    [Required] The destination table
    OperationType string
    [Optional] Supported operation types in table copy job.
    SourceTable TableReference
    [Pick one] Source table to copy.
    SourceTables []TableReference
    [Pick one] Source tables to copy.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationExpirationTime Object
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destinationTable TableReference
    [Required] The destination table
    operationType String
    [Optional] Supported operation types in table copy job.
    sourceTable TableReference
    [Pick one] Source table to copy.
    sourceTables List<TableReference>
    [Pick one] Source tables to copy.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    createDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destinationEncryptionConfiguration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationExpirationTime any
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destinationTable TableReference
    [Required] The destination table
    operationType string
    [Optional] Supported operation types in table copy job.
    sourceTable TableReference
    [Pick one] Source table to copy.
    sourceTables TableReference[]
    [Pick one] Source tables to copy.
    writeDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    create_disposition str
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destination_encryption_configuration EncryptionConfiguration
    Custom encryption configuration (e.g., Cloud KMS keys).
    destination_expiration_time Any
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destination_table TableReference
    [Required] The destination table
    operation_type str
    [Optional] Supported operation types in table copy job.
    source_table TableReference
    [Pick one] Source table to copy.
    source_tables Sequence[TableReference]
    [Pick one] Source tables to copy.
    write_disposition str
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destinationEncryptionConfiguration Property Map
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationExpirationTime Any
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destinationTable Property Map
    [Required] The destination table
    operationType String
    [Optional] Supported operation types in table copy job.
    sourceTable Property Map
    [Pick one] Source table to copy.
    sourceTables List<Property Map>
    [Pick one] Source tables to copy.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.

    JobConfigurationTableCopyResponse, JobConfigurationTableCopyResponseArgs

    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    DestinationEncryptionConfiguration Pulumi.GoogleNative.BigQuery.V2.Inputs.EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationExpirationTime object
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    DestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    [Required] The destination table
    OperationType string
    [Optional] Supported operation types in table copy job.
    SourceTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    [Pick one] Source table to copy.
    SourceTables List<Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse>
    [Pick one] Source tables to copy.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    CreateDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    DestinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    DestinationExpirationTime interface{}
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    DestinationTable TableReferenceResponse
    [Required] The destination table
    OperationType string
    [Optional] Supported operation types in table copy job.
    SourceTable TableReferenceResponse
    [Pick one] Source table to copy.
    SourceTables []TableReferenceResponse
    [Pick one] Source tables to copy.
    WriteDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationExpirationTime Object
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destinationTable TableReferenceResponse
    [Required] The destination table
    operationType String
    [Optional] Supported operation types in table copy job.
    sourceTable TableReferenceResponse
    [Pick one] Source table to copy.
    sourceTables List<TableReferenceResponse>
    [Pick one] Source tables to copy.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    createDisposition string
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destinationEncryptionConfiguration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationExpirationTime any
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destinationTable TableReferenceResponse
    [Required] The destination table
    operationType string
    [Optional] Supported operation types in table copy job.
    sourceTable TableReferenceResponse
    [Pick one] Source table to copy.
    sourceTables TableReferenceResponse[]
    [Pick one] Source tables to copy.
    writeDisposition string
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    create_disposition str
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destination_encryption_configuration EncryptionConfigurationResponse
    Custom encryption configuration (e.g., Cloud KMS keys).
    destination_expiration_time Any
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destination_table TableReferenceResponse
    [Required] The destination table
    operation_type str
    [Optional] Supported operation types in table copy job.
    source_table TableReferenceResponse
    [Pick one] Source table to copy.
    source_tables Sequence[TableReferenceResponse]
    [Pick one] Source tables to copy.
    write_disposition str
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.
    createDisposition String
    [Optional] Specifies whether the job is allowed to create new tables. The following values are supported: CREATE_IF_NEEDED: If the table does not exist, BigQuery creates the table. CREATE_NEVER: The table must already exist. If it does not, a 'notFound' error is returned in the job result. The default value is CREATE_IF_NEEDED. Creation, truncation and append actions occur as one atomic update upon job completion.
    destinationEncryptionConfiguration Property Map
    Custom encryption configuration (e.g., Cloud KMS keys).
    destinationExpirationTime Any
    [Optional] The time when the destination table expires. Expired tables will be deleted and their storage reclaimed.
    destinationTable Property Map
    [Required] The destination table
    operationType String
    [Optional] Supported operation types in table copy job.
    sourceTable Property Map
    [Pick one] Source table to copy.
    sourceTables List<Property Map>
    [Pick one] Source tables to copy.
    writeDisposition String
    [Optional] Specifies the action that occurs if the destination table already exists. The following values are supported: WRITE_TRUNCATE: If the table already exists, BigQuery overwrites the table data. WRITE_APPEND: If the table already exists, BigQuery appends the data to the table. WRITE_EMPTY: If the table already exists and contains data, a 'duplicate' error is returned in the job result. The default value is WRITE_EMPTY. Each action is atomic and only occurs if BigQuery is able to complete the job successfully. Creation, truncation and append actions occur as one atomic update upon job completion.

    JobReference, JobReferenceArgs

    JobId string
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    Location string
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    Project string
    [Required] The ID of the project containing this job.
    JobId string
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    Location string
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    Project string
    [Required] The ID of the project containing this job.
    jobId String
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location String
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project String
    [Required] The ID of the project containing this job.
    jobId string
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location string
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project string
    [Required] The ID of the project containing this job.
    job_id str
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location str
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project str
    [Required] The ID of the project containing this job.
    jobId String
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location String
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project String
    [Required] The ID of the project containing this job.

    JobReferenceResponse, JobReferenceResponseArgs

    JobId string
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    Location string
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    Project string
    [Required] The ID of the project containing this job.
    JobId string
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    Location string
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    Project string
    [Required] The ID of the project containing this job.
    jobId String
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location String
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project String
    [Required] The ID of the project containing this job.
    jobId string
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location string
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project string
    [Required] The ID of the project containing this job.
    job_id str
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location str
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project str
    [Required] The ID of the project containing this job.
    jobId String
    [Required] The ID of the job. The ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024 characters.
    location String
    The geographic location of the job. See details at https://cloud.google.com/bigquery/docs/locations#specifying_your_location.
    project String
    [Required] The ID of the project containing this job.

    JobStatistics2ReservationUsageItemResponse, JobStatistics2ReservationUsageItemResponseArgs

    Name string
    [Output only] Reservation name or "unreserved" for on-demand resources usage.
    SlotMs string
    [Output only] Slot-milliseconds the job spent in the given reservation.
    Name string
    [Output only] Reservation name or "unreserved" for on-demand resources usage.
    SlotMs string
    [Output only] Slot-milliseconds the job spent in the given reservation.
    name String
    [Output only] Reservation name or "unreserved" for on-demand resources usage.
    slotMs String
    [Output only] Slot-milliseconds the job spent in the given reservation.
    name string
    [Output only] Reservation name or "unreserved" for on-demand resources usage.
    slotMs string
    [Output only] Slot-milliseconds the job spent in the given reservation.
    name str
    [Output only] Reservation name or "unreserved" for on-demand resources usage.
    slot_ms str
    [Output only] Slot-milliseconds the job spent in the given reservation.
    name String
    [Output only] Reservation name or "unreserved" for on-demand resources usage.
    slotMs String
    [Output only] Slot-milliseconds the job spent in the given reservation.

    JobStatistics2Response, JobStatistics2ResponseArgs

    BiEngineStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.BiEngineStatisticsResponse
    BI Engine specific Statistics. [Output only] BI Engine specific Statistics.
    BillingTier int
    [Output only] Billing tier for the job.
    CacheHit bool
    [Output only] Whether the query result was fetched from the query cache.
    DdlAffectedRowAccessPolicyCount string
    [Output only] [Preview] The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
    DdlDestinationTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    [Output only] The DDL destination table. Present only for ALTER TABLE RENAME TO queries. Note that ddl_target_table is used just for its type information.
    DdlOperationPerformed string
    The DDL operation performed, possibly dependent on the pre-existence of the DDL target. Possible values (new values might be added in the future): "CREATE": The query created the DDL target. "SKIP": No-op. Example cases: the query is CREATE TABLE IF NOT EXISTS while the table already exists, or the query is DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE, and the table already exists. "DROP": The query deleted the DDL target.
    DdlTargetDataset Pulumi.GoogleNative.BigQuery.V2.Inputs.DatasetReferenceResponse
    [Output only] The DDL target dataset. Present only for CREATE/ALTER/DROP/UNDROP SCHEMA queries.
    DdlTargetRoutine Pulumi.GoogleNative.BigQuery.V2.Inputs.RoutineReferenceResponse
    The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.
    DdlTargetRowAccessPolicy Pulumi.GoogleNative.BigQuery.V2.Inputs.RowAccessPolicyReferenceResponse
    [Output only] [Preview] The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.
    DdlTargetTable Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse
    [Output only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.
    DmlStats Pulumi.GoogleNative.BigQuery.V2.Inputs.DmlStatisticsResponse
    [Output only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
    EstimatedBytesProcessed string
    [Output only] The original estimate of bytes processed for the job.
    MlStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.MlStatisticsResponse
    [Output only] Statistics of a BigQuery ML training job.
    ModelTraining Pulumi.GoogleNative.BigQuery.V2.Inputs.BigQueryModelTrainingResponse
    [Output only, Beta] Information about create model query job progress.
    ModelTrainingCurrentIteration int
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    ModelTrainingExpectedTotalIteration string
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    NumDmlAffectedRows string
    [Output only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
    QueryPlan List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ExplainQueryStageResponse>
    [Output only] Describes execution plan for the query.
    ReferencedRoutines List<Pulumi.GoogleNative.BigQuery.V2.Inputs.RoutineReferenceResponse>
    [Output only] Referenced routines (persistent user-defined functions and stored procedures) for the job.
    ReferencedTables List<Pulumi.GoogleNative.BigQuery.V2.Inputs.TableReferenceResponse>
    [Output only] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
    ReservationUsage List<Pulumi.GoogleNative.BigQuery.V2.Inputs.JobStatistics2ReservationUsageItemResponse>
    [Output only] Job resource usage breakdown by reservation.
    Schema Pulumi.GoogleNative.BigQuery.V2.Inputs.TableSchemaResponse
    [Output only] The schema of the results. Present only for successful dry run of non-legacy SQL queries.
    SearchStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.SearchStatisticsResponse
    [Output only] Search query specific statistics.
    SparkStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.SparkStatisticsResponse
    [Output only] Statistics of a Spark procedure job.
    StatementType string
    The type of query statement, if valid. Possible values (new values might be added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE": DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT": ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE": CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... . "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" : DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE": DROP TABLE query. "DROP_VIEW": DROP VIEW query.
    Timeline List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryTimelineSampleResponse>
    [Output only] [Beta] Describes a timeline of job execution.
    TotalBytesBilled string
    [Output only] Total bytes billed for the job.
    TotalBytesProcessed string
    [Output only] Total bytes processed for the job.
    TotalBytesProcessedAccuracy string
    [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
    TotalPartitionsProcessed string
    [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
    TotalSlotMs string
    [Output only] Slot-milliseconds for the job.
    TransferredBytes string
    Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
    UndeclaredQueryParameters List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterResponse>
    Standard SQL only: list of undeclared query parameters detected during a dry run validation.
    BiEngineStatistics BiEngineStatisticsResponse
    BI Engine specific Statistics. [Output only] BI Engine specific Statistics.
    BillingTier int
    [Output only] Billing tier for the job.
    CacheHit bool
    [Output only] Whether the query result was fetched from the query cache.
    DdlAffectedRowAccessPolicyCount string
    [Output only] [Preview] The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
    DdlDestinationTable TableReferenceResponse
    [Output only] The DDL destination table. Present only for ALTER TABLE RENAME TO queries. Note that ddl_target_table is used just for its type information.
    DdlOperationPerformed string
    The DDL operation performed, possibly dependent on the pre-existence of the DDL target. Possible values (new values might be added in the future): "CREATE": The query created the DDL target. "SKIP": No-op. Example cases: the query is CREATE TABLE IF NOT EXISTS while the table already exists, or the query is DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE, and the table already exists. "DROP": The query deleted the DDL target.
    DdlTargetDataset DatasetReferenceResponse
    [Output only] The DDL target dataset. Present only for CREATE/ALTER/DROP/UNDROP SCHEMA queries.
    DdlTargetRoutine RoutineReferenceResponse
    The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.
    DdlTargetRowAccessPolicy RowAccessPolicyReferenceResponse
    [Output only] [Preview] The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.
    DdlTargetTable TableReferenceResponse
    [Output only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.
    DmlStats DmlStatisticsResponse
    [Output only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
    EstimatedBytesProcessed string
    [Output only] The original estimate of bytes processed for the job.
    MlStatistics MlStatisticsResponse
    [Output only] Statistics of a BigQuery ML training job.
    ModelTraining BigQueryModelTrainingResponse
    [Output only, Beta] Information about create model query job progress.
    ModelTrainingCurrentIteration int
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    ModelTrainingExpectedTotalIteration string
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    NumDmlAffectedRows string
    [Output only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
    QueryPlan []ExplainQueryStageResponse
    [Output only] Describes execution plan for the query.
    ReferencedRoutines []RoutineReferenceResponse
    [Output only] Referenced routines (persistent user-defined functions and stored procedures) for the job.
    ReferencedTables []TableReferenceResponse
    [Output only] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
    ReservationUsage []JobStatistics2ReservationUsageItemResponse
    [Output only] Job resource usage breakdown by reservation.
    Schema TableSchemaResponse
    [Output only] The schema of the results. Present only for successful dry run of non-legacy SQL queries.
    SearchStatistics SearchStatisticsResponse
    [Output only] Search query specific statistics.
    SparkStatistics SparkStatisticsResponse
    [Output only] Statistics of a Spark procedure job.
    StatementType string
    The type of query statement, if valid. Possible values (new values might be added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE": DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT": ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE": CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... . "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" : DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE": DROP TABLE query. "DROP_VIEW": DROP VIEW query.
    Timeline []QueryTimelineSampleResponse
    [Output only] [Beta] Describes a timeline of job execution.
    TotalBytesBilled string
    [Output only] Total bytes billed for the job.
    TotalBytesProcessed string
    [Output only] Total bytes processed for the job.
    TotalBytesProcessedAccuracy string
    [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
    TotalPartitionsProcessed string
    [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
    TotalSlotMs string
    [Output only] Slot-milliseconds for the job.
    TransferredBytes string
    Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
    UndeclaredQueryParameters []QueryParameterResponse
    Standard SQL only: list of undeclared query parameters detected during a dry run validation.
    biEngineStatistics BiEngineStatisticsResponse
    BI Engine specific Statistics. [Output only] BI Engine specific Statistics.
    billingTier Integer
    [Output only] Billing tier for the job.
    cacheHit Boolean
    [Output only] Whether the query result was fetched from the query cache.
    ddlAffectedRowAccessPolicyCount String
    [Output only] [Preview] The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
    ddlDestinationTable TableReferenceResponse
    [Output only] The DDL destination table. Present only for ALTER TABLE RENAME TO queries. Note that ddl_target_table is used just for its type information.
    ddlOperationPerformed String
    The DDL operation performed, possibly dependent on the pre-existence of the DDL target. Possible values (new values might be added in the future): "CREATE": The query created the DDL target. "SKIP": No-op. Example cases: the query is CREATE TABLE IF NOT EXISTS while the table already exists, or the query is DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE, and the table already exists. "DROP": The query deleted the DDL target.
    ddlTargetDataset DatasetReferenceResponse
    [Output only] The DDL target dataset. Present only for CREATE/ALTER/DROP/UNDROP SCHEMA queries.
    ddlTargetRoutine RoutineReferenceResponse
    The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.
    ddlTargetRowAccessPolicy RowAccessPolicyReferenceResponse
    [Output only] [Preview] The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.
    ddlTargetTable TableReferenceResponse
    [Output only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.
    dmlStats DmlStatisticsResponse
    [Output only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
    estimatedBytesProcessed String
    [Output only] The original estimate of bytes processed for the job.
    mlStatistics MlStatisticsResponse
    [Output only] Statistics of a BigQuery ML training job.
    modelTraining BigQueryModelTrainingResponse
    [Output only, Beta] Information about create model query job progress.
    modelTrainingCurrentIteration Integer
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    modelTrainingExpectedTotalIteration String
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    numDmlAffectedRows String
    [Output only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
    queryPlan List<ExplainQueryStageResponse>
    [Output only] Describes execution plan for the query.
    referencedRoutines List<RoutineReferenceResponse>
    [Output only] Referenced routines (persistent user-defined functions and stored procedures) for the job.
    referencedTables List<TableReferenceResponse>
    [Output only] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
    reservationUsage List<JobStatistics2ReservationUsageItemResponse>
    [Output only] Job resource usage breakdown by reservation.
    schema TableSchemaResponse
    [Output only] The schema of the results. Present only for successful dry run of non-legacy SQL queries.
    searchStatistics SearchStatisticsResponse
    [Output only] Search query specific statistics.
    sparkStatistics SparkStatisticsResponse
    [Output only] Statistics of a Spark procedure job.
    statementType String
    The type of query statement, if valid. Possible values (new values might be added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE": DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT": ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE": CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... . "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" : DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE": DROP TABLE query. "DROP_VIEW": DROP VIEW query.
    timeline List<QueryTimelineSampleResponse>
    [Output only] [Beta] Describes a timeline of job execution.
    totalBytesBilled String
    [Output only] Total bytes billed for the job.
    totalBytesProcessed String
    [Output only] Total bytes processed for the job.
    totalBytesProcessedAccuracy String
    [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
    totalPartitionsProcessed String
    [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
    totalSlotMs String
    [Output only] Slot-milliseconds for the job.
    transferredBytes String
    Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
    undeclaredQueryParameters List<QueryParameterResponse>
    Standard SQL only: list of undeclared query parameters detected during a dry run validation.
    biEngineStatistics BiEngineStatisticsResponse
    BI Engine specific Statistics. [Output only] BI Engine specific Statistics.
    billingTier number
    [Output only] Billing tier for the job.
    cacheHit boolean
    [Output only] Whether the query result was fetched from the query cache.
    ddlAffectedRowAccessPolicyCount string
    [Output only] [Preview] The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
    ddlDestinationTable TableReferenceResponse
    [Output only] The DDL destination table. Present only for ALTER TABLE RENAME TO queries. Note that ddl_target_table is used just for its type information.
    ddlOperationPerformed string
    The DDL operation performed, possibly dependent on the pre-existence of the DDL target. Possible values (new values might be added in the future): "CREATE": The query created the DDL target. "SKIP": No-op. Example cases: the query is CREATE TABLE IF NOT EXISTS while the table already exists, or the query is DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE, and the table already exists. "DROP": The query deleted the DDL target.
    ddlTargetDataset DatasetReferenceResponse
    [Output only] The DDL target dataset. Present only for CREATE/ALTER/DROP/UNDROP SCHEMA queries.
    ddlTargetRoutine RoutineReferenceResponse
    The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.
    ddlTargetRowAccessPolicy RowAccessPolicyReferenceResponse
    [Output only] [Preview] The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.
    ddlTargetTable TableReferenceResponse
    [Output only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.
    dmlStats DmlStatisticsResponse
    [Output only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
    estimatedBytesProcessed string
    [Output only] The original estimate of bytes processed for the job.
    mlStatistics MlStatisticsResponse
    [Output only] Statistics of a BigQuery ML training job.
    modelTraining BigQueryModelTrainingResponse
    [Output only, Beta] Information about create model query job progress.
    modelTrainingCurrentIteration number
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    modelTrainingExpectedTotalIteration string
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    numDmlAffectedRows string
    [Output only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
    queryPlan ExplainQueryStageResponse[]
    [Output only] Describes execution plan for the query.
    referencedRoutines RoutineReferenceResponse[]
    [Output only] Referenced routines (persistent user-defined functions and stored procedures) for the job.
    referencedTables TableReferenceResponse[]
    [Output only] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
    reservationUsage JobStatistics2ReservationUsageItemResponse[]
    [Output only] Job resource usage breakdown by reservation.
    schema TableSchemaResponse
    [Output only] The schema of the results. Present only for successful dry run of non-legacy SQL queries.
    searchStatistics SearchStatisticsResponse
    [Output only] Search query specific statistics.
    sparkStatistics SparkStatisticsResponse
    [Output only] Statistics of a Spark procedure job.
    statementType string
    The type of query statement, if valid. Possible values (new values might be added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE": DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT": ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE": CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... . "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" : DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE": DROP TABLE query. "DROP_VIEW": DROP VIEW query.
    timeline QueryTimelineSampleResponse[]
    [Output only] [Beta] Describes a timeline of job execution.
    totalBytesBilled string
    [Output only] Total bytes billed for the job.
    totalBytesProcessed string
    [Output only] Total bytes processed for the job.
    totalBytesProcessedAccuracy string
    [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
    totalPartitionsProcessed string
    [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
    totalSlotMs string
    [Output only] Slot-milliseconds for the job.
    transferredBytes string
    Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
    undeclaredQueryParameters QueryParameterResponse[]
    Standard SQL only: list of undeclared query parameters detected during a dry run validation.
    bi_engine_statistics BiEngineStatisticsResponse
    BI Engine specific Statistics. [Output only] BI Engine specific Statistics.
    billing_tier int
    [Output only] Billing tier for the job.
    cache_hit bool
    [Output only] Whether the query result was fetched from the query cache.
    ddl_affected_row_access_policy_count str
    [Output only] [Preview] The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
    ddl_destination_table TableReferenceResponse
    [Output only] The DDL destination table. Present only for ALTER TABLE RENAME TO queries. Note that ddl_target_table is used just for its type information.
    ddl_operation_performed str
    The DDL operation performed, possibly dependent on the pre-existence of the DDL target. Possible values (new values might be added in the future): "CREATE": The query created the DDL target. "SKIP": No-op. Example cases: the query is CREATE TABLE IF NOT EXISTS while the table already exists, or the query is DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE, and the table already exists. "DROP": The query deleted the DDL target.
    ddl_target_dataset DatasetReferenceResponse
    [Output only] The DDL target dataset. Present only for CREATE/ALTER/DROP/UNDROP SCHEMA queries.
    ddl_target_routine RoutineReferenceResponse
    The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.
    ddl_target_row_access_policy RowAccessPolicyReferenceResponse
    [Output only] [Preview] The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.
    ddl_target_table TableReferenceResponse
    [Output only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.
    dml_stats DmlStatisticsResponse
    [Output only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
    estimated_bytes_processed str
    [Output only] The original estimate of bytes processed for the job.
    ml_statistics MlStatisticsResponse
    [Output only] Statistics of a BigQuery ML training job.
    model_training BigQueryModelTrainingResponse
    [Output only, Beta] Information about create model query job progress.
    model_training_current_iteration int
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    model_training_expected_total_iteration str
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    num_dml_affected_rows str
    [Output only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
    query_plan Sequence[ExplainQueryStageResponse]
    [Output only] Describes execution plan for the query.
    referenced_routines Sequence[RoutineReferenceResponse]
    [Output only] Referenced routines (persistent user-defined functions and stored procedures) for the job.
    referenced_tables Sequence[TableReferenceResponse]
    [Output only] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
    reservation_usage Sequence[JobStatistics2ReservationUsageItemResponse]
    [Output only] Job resource usage breakdown by reservation.
    schema TableSchemaResponse
    [Output only] The schema of the results. Present only for successful dry run of non-legacy SQL queries.
    search_statistics SearchStatisticsResponse
    [Output only] Search query specific statistics.
    spark_statistics SparkStatisticsResponse
    [Output only] Statistics of a Spark procedure job.
    statement_type str
    The type of query statement, if valid. Possible values (new values might be added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE": DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT": ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE": CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... . "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" : DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE": DROP TABLE query. "DROP_VIEW": DROP VIEW query.
    timeline Sequence[QueryTimelineSampleResponse]
    [Output only] [Beta] Describes a timeline of job execution.
    total_bytes_billed str
    [Output only] Total bytes billed for the job.
    total_bytes_processed str
    [Output only] Total bytes processed for the job.
    total_bytes_processed_accuracy str
    [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
    total_partitions_processed str
    [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
    total_slot_ms str
    [Output only] Slot-milliseconds for the job.
    transferred_bytes str
    Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
    undeclared_query_parameters Sequence[QueryParameterResponse]
    Standard SQL only: list of undeclared query parameters detected during a dry run validation.
    biEngineStatistics Property Map
    BI Engine specific Statistics. [Output only] BI Engine specific Statistics.
    billingTier Number
    [Output only] Billing tier for the job.
    cacheHit Boolean
    [Output only] Whether the query result was fetched from the query cache.
    ddlAffectedRowAccessPolicyCount String
    [Output only] [Preview] The number of row access policies affected by a DDL statement. Present only for DROP ALL ROW ACCESS POLICIES queries.
    ddlDestinationTable Property Map
    [Output only] The DDL destination table. Present only for ALTER TABLE RENAME TO queries. Note that ddl_target_table is used just for its type information.
    ddlOperationPerformed String
    The DDL operation performed, possibly dependent on the pre-existence of the DDL target. Possible values (new values might be added in the future): "CREATE": The query created the DDL target. "SKIP": No-op. Example cases: the query is CREATE TABLE IF NOT EXISTS while the table already exists, or the query is DROP TABLE IF EXISTS while the table does not exist. "REPLACE": The query replaced the DDL target. Example case: the query is CREATE OR REPLACE TABLE, and the table already exists. "DROP": The query deleted the DDL target.
    ddlTargetDataset Property Map
    [Output only] The DDL target dataset. Present only for CREATE/ALTER/DROP/UNDROP SCHEMA queries.
    ddlTargetRoutine Property Map
    The DDL target routine. Present only for CREATE/DROP FUNCTION/PROCEDURE queries.
    ddlTargetRowAccessPolicy Property Map
    [Output only] [Preview] The DDL target row access policy. Present only for CREATE/DROP ROW ACCESS POLICY queries.
    ddlTargetTable Property Map
    [Output only] The DDL target table. Present only for CREATE/DROP TABLE/VIEW and DROP ALL ROW ACCESS POLICIES queries.
    dmlStats Property Map
    [Output only] Detailed statistics for DML statements Present only for DML statements INSERT, UPDATE, DELETE or TRUNCATE.
    estimatedBytesProcessed String
    [Output only] The original estimate of bytes processed for the job.
    mlStatistics Property Map
    [Output only] Statistics of a BigQuery ML training job.
    modelTraining Property Map
    [Output only, Beta] Information about create model query job progress.
    modelTrainingCurrentIteration Number
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    modelTrainingExpectedTotalIteration String
    [Output only, Beta] Deprecated; do not use.

    Deprecated: [Output only, Beta] Deprecated; do not use.

    numDmlAffectedRows String
    [Output only] The number of rows affected by a DML statement. Present only for DML statements INSERT, UPDATE or DELETE.
    queryPlan List<Property Map>
    [Output only] Describes execution plan for the query.
    referencedRoutines List<Property Map>
    [Output only] Referenced routines (persistent user-defined functions and stored procedures) for the job.
    referencedTables List<Property Map>
    [Output only] Referenced tables for the job. Queries that reference more than 50 tables will not have a complete list.
    reservationUsage List<Property Map>
    [Output only] Job resource usage breakdown by reservation.
    schema Property Map
    [Output only] The schema of the results. Present only for successful dry run of non-legacy SQL queries.
    searchStatistics Property Map
    [Output only] Search query specific statistics.
    sparkStatistics Property Map
    [Output only] Statistics of a Spark procedure job.
    statementType String
    The type of query statement, if valid. Possible values (new values might be added in the future): "SELECT": SELECT query. "INSERT": INSERT query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "UPDATE": UPDATE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "DELETE": DELETE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "MERGE": MERGE query; see https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language. "ALTER_TABLE": ALTER TABLE query. "ALTER_VIEW": ALTER VIEW query. "ASSERT": ASSERT condition AS 'description'. "CREATE_FUNCTION": CREATE FUNCTION query. "CREATE_MODEL": CREATE [OR REPLACE] MODEL ... AS SELECT ... . "CREATE_PROCEDURE": CREATE PROCEDURE query. "CREATE_TABLE": CREATE [OR REPLACE] TABLE without AS SELECT. "CREATE_TABLE_AS_SELECT": CREATE [OR REPLACE] TABLE ... AS SELECT ... . "CREATE_VIEW": CREATE [OR REPLACE] VIEW ... AS SELECT ... . "DROP_FUNCTION" : DROP FUNCTION query. "DROP_PROCEDURE": DROP PROCEDURE query. "DROP_TABLE": DROP TABLE query. "DROP_VIEW": DROP VIEW query.
    timeline List<Property Map>
    [Output only] [Beta] Describes a timeline of job execution.
    totalBytesBilled String
    [Output only] Total bytes billed for the job.
    totalBytesProcessed String
    [Output only] Total bytes processed for the job.
    totalBytesProcessedAccuracy String
    [Output only] For dry-run jobs, totalBytesProcessed is an estimate and this field specifies the accuracy of the estimate. Possible values can be: UNKNOWN: accuracy of the estimate is unknown. PRECISE: estimate is precise. LOWER_BOUND: estimate is lower bound of what the query would cost. UPPER_BOUND: estimate is upper bound of what the query would cost.
    totalPartitionsProcessed String
    [Output only] Total number of partitions processed from all partitioned tables referenced in the job.
    totalSlotMs String
    [Output only] Slot-milliseconds for the job.
    transferredBytes String
    Total bytes transferred for cross-cloud queries such as Cross Cloud Transfer and CREATE TABLE AS SELECT (CTAS).
    undeclaredQueryParameters List<Property Map>
    Standard SQL only: list of undeclared query parameters detected during a dry run validation.

    JobStatistics3Response, JobStatistics3ResponseArgs

    BadRecords string
    The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.
    InputFileBytes string
    Number of bytes of source data in a load job.
    InputFiles string
    Number of source files in a load job.
    OutputBytes string
    Size of the loaded data in bytes. Note that while a load job is in the running state, this value may change.
    OutputRows string
    Number of rows imported in a load job. Note that while an import job is in the running state, this value may change.
    BadRecords string
    The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.
    InputFileBytes string
    Number of bytes of source data in a load job.
    InputFiles string
    Number of source files in a load job.
    OutputBytes string
    Size of the loaded data in bytes. Note that while a load job is in the running state, this value may change.
    OutputRows string
    Number of rows imported in a load job. Note that while an import job is in the running state, this value may change.
    badRecords String
    The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.
    inputFileBytes String
    Number of bytes of source data in a load job.
    inputFiles String
    Number of source files in a load job.
    outputBytes String
    Size of the loaded data in bytes. Note that while a load job is in the running state, this value may change.
    outputRows String
    Number of rows imported in a load job. Note that while an import job is in the running state, this value may change.
    badRecords string
    The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.
    inputFileBytes string
    Number of bytes of source data in a load job.
    inputFiles string
    Number of source files in a load job.
    outputBytes string
    Size of the loaded data in bytes. Note that while a load job is in the running state, this value may change.
    outputRows string
    Number of rows imported in a load job. Note that while an import job is in the running state, this value may change.
    bad_records str
    The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.
    input_file_bytes str
    Number of bytes of source data in a load job.
    input_files str
    Number of source files in a load job.
    output_bytes str
    Size of the loaded data in bytes. Note that while a load job is in the running state, this value may change.
    output_rows str
    Number of rows imported in a load job. Note that while an import job is in the running state, this value may change.
    badRecords String
    The number of bad records encountered. Note that if the job has failed because of more bad records encountered than the maximum allowed in the load job configuration, then this number can be less than the total number of bad records present in the input data.
    inputFileBytes String
    Number of bytes of source data in a load job.
    inputFiles String
    Number of source files in a load job.
    outputBytes String
    Size of the loaded data in bytes. Note that while a load job is in the running state, this value may change.
    outputRows String
    Number of rows imported in a load job. Note that while an import job is in the running state, this value may change.

    JobStatistics4Response, JobStatistics4ResponseArgs

    DestinationUriFileCounts List<string>
    Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
    InputBytes string
    Number of user bytes extracted into the result. This is the byte count as computed by BigQuery for billing purposes.
    DestinationUriFileCounts []string
    Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
    InputBytes string
    Number of user bytes extracted into the result. This is the byte count as computed by BigQuery for billing purposes.
    destinationUriFileCounts List<String>
    Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
    inputBytes String
    Number of user bytes extracted into the result. This is the byte count as computed by BigQuery for billing purposes.
    destinationUriFileCounts string[]
    Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
    inputBytes string
    Number of user bytes extracted into the result. This is the byte count as computed by BigQuery for billing purposes.
    destination_uri_file_counts Sequence[str]
    Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
    input_bytes str
    Number of user bytes extracted into the result. This is the byte count as computed by BigQuery for billing purposes.
    destinationUriFileCounts List<String>
    Number of files per destination URI or URI pattern specified in the extract configuration. These values will be in the same order as the URIs specified in the 'destinationUris' field.
    inputBytes String
    Number of user bytes extracted into the result. This is the byte count as computed by BigQuery for billing purposes.

    JobStatistics5Response, JobStatistics5ResponseArgs

    CopiedLogicalBytes string
    Number of logical bytes copied to the destination table.
    CopiedRows string
    Number of rows copied to the destination table.
    CopiedLogicalBytes string
    Number of logical bytes copied to the destination table.
    CopiedRows string
    Number of rows copied to the destination table.
    copiedLogicalBytes String
    Number of logical bytes copied to the destination table.
    copiedRows String
    Number of rows copied to the destination table.
    copiedLogicalBytes string
    Number of logical bytes copied to the destination table.
    copiedRows string
    Number of rows copied to the destination table.
    copied_logical_bytes str
    Number of logical bytes copied to the destination table.
    copied_rows str
    Number of rows copied to the destination table.
    copiedLogicalBytes String
    Number of logical bytes copied to the destination table.
    copiedRows String
    Number of rows copied to the destination table.

    JobStatisticsReservationUsageItemResponse, JobStatisticsReservationUsageItemResponseArgs

    Name string
    Reservation name or "unreserved" for on-demand resources usage.
    SlotMs string
    Slot-milliseconds the job spent in the given reservation.
    Name string
    Reservation name or "unreserved" for on-demand resources usage.
    SlotMs string
    Slot-milliseconds the job spent in the given reservation.
    name String
    Reservation name or "unreserved" for on-demand resources usage.
    slotMs String
    Slot-milliseconds the job spent in the given reservation.
    name string
    Reservation name or "unreserved" for on-demand resources usage.
    slotMs string
    Slot-milliseconds the job spent in the given reservation.
    name str
    Reservation name or "unreserved" for on-demand resources usage.
    slot_ms str
    Slot-milliseconds the job spent in the given reservation.
    name String
    Reservation name or "unreserved" for on-demand resources usage.
    slotMs String
    Slot-milliseconds the job spent in the given reservation.

    JobStatisticsResponse, JobStatisticsResponseArgs

    CompletionRatio double
    [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT jobs.
    Copy Pulumi.GoogleNative.BigQuery.V2.Inputs.JobStatistics5Response
    Statistics for a copy job.
    CreationTime string
    Creation time of this job, in milliseconds since the epoch. This field will be present on all jobs.
    DataMaskingStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.DataMaskingStatisticsResponse
    Statistics for data masking. Present only for query and extract jobs.
    EndTime string
    End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
    Extract Pulumi.GoogleNative.BigQuery.V2.Inputs.JobStatistics4Response
    Statistics for an extract job.
    Load Pulumi.GoogleNative.BigQuery.V2.Inputs.JobStatistics3Response
    Statistics for a load job.
    NumChildJobs string
    Number of child jobs executed.
    ParentJobId string
    If this is a child job, the id of the parent.
    Query Pulumi.GoogleNative.BigQuery.V2.Inputs.JobStatistics2Response
    Statistics for a query job.
    QuotaDeferments List<string>
    Quotas which delayed this job's start time.
    ReservationId string
    Name of the primary reservation assigned to this job. Note that this could be different than reservations reported in the reservation usage field if parent reservations were used to execute this job.
    ReservationUsage List<Pulumi.GoogleNative.BigQuery.V2.Inputs.JobStatisticsReservationUsageItemResponse>
    Job resource usage breakdown by reservation.
    RowLevelSecurityStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.RowLevelSecurityStatisticsResponse
    [Preview] Statistics for row-level security. Present only for query and extract jobs.
    ScriptStatistics Pulumi.GoogleNative.BigQuery.V2.Inputs.ScriptStatisticsResponse
    Statistics for a child job of a script.
    SessionInfo Pulumi.GoogleNative.BigQuery.V2.Inputs.SessionInfoResponse
    [Preview] Information of the session if this job is part of one.
    StartTime string
    Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
    TotalBytesProcessed string
    [Deprecated] Use the bytes processed in the query statistics instead.

    Deprecated: [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.

    TotalSlotMs string
    Slot-milliseconds for the job.
    TransactionInfo Pulumi.GoogleNative.BigQuery.V2.Inputs.TransactionInfoResponse
    [Alpha] Information of the multi-statement transaction if this job is part of one.
    CompletionRatio float64
    [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT jobs.
    Copy JobStatistics5Response
    Statistics for a copy job.
    CreationTime string
    Creation time of this job, in milliseconds since the epoch. This field will be present on all jobs.
    DataMaskingStatistics DataMaskingStatisticsResponse
    Statistics for data masking. Present only for query and extract jobs.
    EndTime string
    End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
    Extract JobStatistics4Response
    Statistics for an extract job.
    Load JobStatistics3Response
    Statistics for a load job.
    NumChildJobs string
    Number of child jobs executed.
    ParentJobId string
    If this is a child job, the id of the parent.
    Query JobStatistics2Response
    Statistics for a query job.
    QuotaDeferments []string
    Quotas which delayed this job's start time.
    ReservationId string
    Name of the primary reservation assigned to this job. Note that this could be different than reservations reported in the reservation usage field if parent reservations were used to execute this job.
    ReservationUsage []JobStatisticsReservationUsageItemResponse
    Job resource usage breakdown by reservation.
    RowLevelSecurityStatistics RowLevelSecurityStatisticsResponse
    [Preview] Statistics for row-level security. Present only for query and extract jobs.
    ScriptStatistics ScriptStatisticsResponse
    Statistics for a child job of a script.
    SessionInfo SessionInfoResponse
    [Preview] Information of the session if this job is part of one.
    StartTime string
    Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
    TotalBytesProcessed string
    [Deprecated] Use the bytes processed in the query statistics instead.

    Deprecated: [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.

    TotalSlotMs string
    Slot-milliseconds for the job.
    TransactionInfo TransactionInfoResponse
    [Alpha] Information of the multi-statement transaction if this job is part of one.
    completionRatio Double
    [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT jobs.
    copy JobStatistics5Response
    Statistics for a copy job.
    creationTime String
    Creation time of this job, in milliseconds since the epoch. This field will be present on all jobs.
    dataMaskingStatistics DataMaskingStatisticsResponse
    Statistics for data masking. Present only for query and extract jobs.
    endTime String
    End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
    extract JobStatistics4Response
    Statistics for an extract job.
    load JobStatistics3Response
    Statistics for a load job.
    numChildJobs String
    Number of child jobs executed.
    parentJobId String
    If this is a child job, the id of the parent.
    query JobStatistics2Response
    Statistics for a query job.
    quotaDeferments List<String>
    Quotas which delayed this job's start time.
    reservationId String
    Name of the primary reservation assigned to this job. Note that this could be different than reservations reported in the reservation usage field if parent reservations were used to execute this job.
    reservationUsage List<JobStatisticsReservationUsageItemResponse>
    Job resource usage breakdown by reservation.
    rowLevelSecurityStatistics RowLevelSecurityStatisticsResponse
    [Preview] Statistics for row-level security. Present only for query and extract jobs.
    scriptStatistics ScriptStatisticsResponse
    Statistics for a child job of a script.
    sessionInfo SessionInfoResponse
    [Preview] Information of the session if this job is part of one.
    startTime String
    Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
    totalBytesProcessed String
    [Deprecated] Use the bytes processed in the query statistics instead.

    Deprecated: [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.

    totalSlotMs String
    Slot-milliseconds for the job.
    transactionInfo TransactionInfoResponse
    [Alpha] Information of the multi-statement transaction if this job is part of one.
    completionRatio number
    [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT jobs.
    copy JobStatistics5Response
    Statistics for a copy job.
    creationTime string
    Creation time of this job, in milliseconds since the epoch. This field will be present on all jobs.
    dataMaskingStatistics DataMaskingStatisticsResponse
    Statistics for data masking. Present only for query and extract jobs.
    endTime string
    End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
    extract JobStatistics4Response
    Statistics for an extract job.
    load JobStatistics3Response
    Statistics for a load job.
    numChildJobs string
    Number of child jobs executed.
    parentJobId string
    If this is a child job, the id of the parent.
    query JobStatistics2Response
    Statistics for a query job.
    quotaDeferments string[]
    Quotas which delayed this job's start time.
    reservationId string
    Name of the primary reservation assigned to this job. Note that this could be different than reservations reported in the reservation usage field if parent reservations were used to execute this job.
    reservationUsage JobStatisticsReservationUsageItemResponse[]
    Job resource usage breakdown by reservation.
    rowLevelSecurityStatistics RowLevelSecurityStatisticsResponse
    [Preview] Statistics for row-level security. Present only for query and extract jobs.
    scriptStatistics ScriptStatisticsResponse
    Statistics for a child job of a script.
    sessionInfo SessionInfoResponse
    [Preview] Information of the session if this job is part of one.
    startTime string
    Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
    totalBytesProcessed string
    [Deprecated] Use the bytes processed in the query statistics instead.

    Deprecated: [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.

    totalSlotMs string
    Slot-milliseconds for the job.
    transactionInfo TransactionInfoResponse
    [Alpha] Information of the multi-statement transaction if this job is part of one.
    completion_ratio float
    [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT jobs.
    copy JobStatistics5Response
    Statistics for a copy job.
    creation_time str
    Creation time of this job, in milliseconds since the epoch. This field will be present on all jobs.
    data_masking_statistics DataMaskingStatisticsResponse
    Statistics for data masking. Present only for query and extract jobs.
    end_time str
    End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
    extract JobStatistics4Response
    Statistics for an extract job.
    load JobStatistics3Response
    Statistics for a load job.
    num_child_jobs str
    Number of child jobs executed.
    parent_job_id str
    If this is a child job, the id of the parent.
    query JobStatistics2Response
    Statistics for a query job.
    quota_deferments Sequence[str]
    Quotas which delayed this job's start time.
    reservation_id str
    Name of the primary reservation assigned to this job. Note that this could be different than reservations reported in the reservation usage field if parent reservations were used to execute this job.
    reservation_usage Sequence[JobStatisticsReservationUsageItemResponse]
    Job resource usage breakdown by reservation.
    row_level_security_statistics RowLevelSecurityStatisticsResponse
    [Preview] Statistics for row-level security. Present only for query and extract jobs.
    script_statistics ScriptStatisticsResponse
    Statistics for a child job of a script.
    session_info SessionInfoResponse
    [Preview] Information of the session if this job is part of one.
    start_time str
    Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
    total_bytes_processed str
    [Deprecated] Use the bytes processed in the query statistics instead.

    Deprecated: [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.

    total_slot_ms str
    Slot-milliseconds for the job.
    transaction_info TransactionInfoResponse
    [Alpha] Information of the multi-statement transaction if this job is part of one.
    completionRatio Number
    [TrustedTester] [Output-only] Job progress (0.0 -> 1.0) for LOAD and EXTRACT jobs.
    copy Property Map
    Statistics for a copy job.
    creationTime String
    Creation time of this job, in milliseconds since the epoch. This field will be present on all jobs.
    dataMaskingStatistics Property Map
    Statistics for data masking. Present only for query and extract jobs.
    endTime String
    End time of this job, in milliseconds since the epoch. This field will be present whenever a job is in the DONE state.
    extract Property Map
    Statistics for an extract job.
    load Property Map
    Statistics for a load job.
    numChildJobs String
    Number of child jobs executed.
    parentJobId String
    If this is a child job, the id of the parent.
    query Property Map
    Statistics for a query job.
    quotaDeferments List<String>
    Quotas which delayed this job's start time.
    reservationId String
    Name of the primary reservation assigned to this job. Note that this could be different than reservations reported in the reservation usage field if parent reservations were used to execute this job.
    reservationUsage List<Property Map>
    Job resource usage breakdown by reservation.
    rowLevelSecurityStatistics Property Map
    [Preview] Statistics for row-level security. Present only for query and extract jobs.
    scriptStatistics Property Map
    Statistics for a child job of a script.
    sessionInfo Property Map
    [Preview] Information of the session if this job is part of one.
    startTime String
    Start time of this job, in milliseconds since the epoch. This field will be present when the job transitions from the PENDING state to either RUNNING or DONE.
    totalBytesProcessed String
    [Deprecated] Use the bytes processed in the query statistics instead.

    Deprecated: [Output-only] [Deprecated] Use the bytes processed in the query statistics instead.

    totalSlotMs String
    Slot-milliseconds for the job.
    transactionInfo Property Map
    [Alpha] Information of the multi-statement transaction if this job is part of one.

    JobStatusResponse, JobStatusResponseArgs

    ErrorResult Pulumi.GoogleNative.BigQuery.V2.Inputs.ErrorProtoResponse
    Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
    Errors List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ErrorProtoResponse>
    The first errors encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
    State string
    Running state of the job.
    ErrorResult ErrorProtoResponse
    Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
    Errors []ErrorProtoResponse
    The first errors encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
    State string
    Running state of the job.
    errorResult ErrorProtoResponse
    Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
    errors List<ErrorProtoResponse>
    The first errors encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
    state String
    Running state of the job.
    errorResult ErrorProtoResponse
    Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
    errors ErrorProtoResponse[]
    The first errors encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
    state string
    Running state of the job.
    error_result ErrorProtoResponse
    Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
    errors Sequence[ErrorProtoResponse]
    The first errors encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
    state str
    Running state of the job.
    errorResult Property Map
    Final error result of the job. If present, indicates that the job has completed and was unsuccessful.
    errors List<Property Map>
    The first errors encountered during the running of the job. The final message includes the number of errors that caused the process to stop. Errors here do not necessarily mean that the job has completed or was unsuccessful.
    state String
    Running state of the job.

    MlStatisticsResponse, MlStatisticsResponseArgs

    IterationResults List<Pulumi.GoogleNative.BigQuery.V2.Inputs.IterationResultResponse>
    Results for all completed iterations.
    MaxIterations string
    Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
    IterationResults []IterationResultResponse
    Results for all completed iterations.
    MaxIterations string
    Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
    iterationResults List<IterationResultResponse>
    Results for all completed iterations.
    maxIterations String
    Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
    iterationResults IterationResultResponse[]
    Results for all completed iterations.
    maxIterations string
    Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
    iteration_results Sequence[IterationResultResponse]
    Results for all completed iterations.
    max_iterations str
    Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.
    iterationResults List<Property Map>
    Results for all completed iterations.
    maxIterations String
    Maximum number of iterations specified as max_iterations in the 'CREATE MODEL' query. The actual number of iterations may be less than this number due to early stop.

    ModelReference, ModelReferenceArgs

    DatasetId string
    The ID of the dataset containing this model.
    ModelId string
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    The ID of the project containing this model.
    DatasetId string
    The ID of the dataset containing this model.
    ModelId string
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    The ID of the project containing this model.
    datasetId String
    The ID of the dataset containing this model.
    modelId String
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    The ID of the project containing this model.
    datasetId string
    The ID of the dataset containing this model.
    modelId string
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project string
    The ID of the project containing this model.
    dataset_id str
    The ID of the dataset containing this model.
    model_id str
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project str
    The ID of the project containing this model.
    datasetId String
    The ID of the dataset containing this model.
    modelId String
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    The ID of the project containing this model.

    ModelReferenceResponse, ModelReferenceResponseArgs

    DatasetId string
    The ID of the dataset containing this model.
    ModelId string
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    The ID of the project containing this model.
    DatasetId string
    The ID of the dataset containing this model.
    ModelId string
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    Project string
    The ID of the project containing this model.
    datasetId String
    The ID of the dataset containing this model.
    modelId String
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    The ID of the project containing this model.
    datasetId string
    The ID of the dataset containing this model.
    modelId string
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project string
    The ID of the project containing this model.
    dataset_id str
    The ID of the dataset containing this model.
    model_id str
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project str
    The ID of the project containing this model.
    datasetId String
    The ID of the dataset containing this model.
    modelId String
    The ID of the model. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    project String
    The ID of the project containing this model.

    ParquetOptions, ParquetOptionsArgs

    EnableListInference bool
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    EnumAsString bool
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    EnableListInference bool
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    EnumAsString bool
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enableListInference Boolean
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enumAsString Boolean
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enableListInference boolean
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enumAsString boolean
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enable_list_inference bool
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enum_as_string bool
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enableListInference Boolean
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enumAsString Boolean
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.

    ParquetOptionsResponse, ParquetOptionsResponseArgs

    EnableListInference bool
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    EnumAsString bool
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    EnableListInference bool
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    EnumAsString bool
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enableListInference Boolean
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enumAsString Boolean
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enableListInference boolean
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enumAsString boolean
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enable_list_inference bool
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enum_as_string bool
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.
    enableListInference Boolean
    [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
    enumAsString Boolean
    [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.

    QueryParameter, QueryParameterArgs

    Name string
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    ParameterType Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterType
    [Required] The type of this parameter.
    ParameterValue Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterValue
    [Required] The value of this parameter.
    Name string
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    ParameterType QueryParameterType
    [Required] The type of this parameter.
    ParameterValue QueryParameterValue
    [Required] The value of this parameter.
    name String
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameterType QueryParameterType
    [Required] The type of this parameter.
    parameterValue QueryParameterValue
    [Required] The value of this parameter.
    name string
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameterType QueryParameterType
    [Required] The type of this parameter.
    parameterValue QueryParameterValue
    [Required] The value of this parameter.
    name str
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameter_type QueryParameterType
    [Required] The type of this parameter.
    parameter_value QueryParameterValue
    [Required] The value of this parameter.
    name String
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameterType Property Map
    [Required] The type of this parameter.
    parameterValue Property Map
    [Required] The value of this parameter.

    QueryParameterResponse, QueryParameterResponseArgs

    Name string
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    ParameterType Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeResponse
    [Required] The type of this parameter.
    ParameterValue Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterValueResponse
    [Required] The value of this parameter.
    Name string
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    ParameterType QueryParameterTypeResponse
    [Required] The type of this parameter.
    ParameterValue QueryParameterValueResponse
    [Required] The value of this parameter.
    name String
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameterType QueryParameterTypeResponse
    [Required] The type of this parameter.
    parameterValue QueryParameterValueResponse
    [Required] The value of this parameter.
    name string
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameterType QueryParameterTypeResponse
    [Required] The type of this parameter.
    parameterValue QueryParameterValueResponse
    [Required] The value of this parameter.
    name str
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameter_type QueryParameterTypeResponse
    [Required] The type of this parameter.
    parameter_value QueryParameterValueResponse
    [Required] The value of this parameter.
    name String
    [Optional] If unset, this is a positional parameter. Otherwise, should be unique within a query.
    parameterType Property Map
    [Required] The type of this parameter.
    parameterValue Property Map
    [Required] The value of this parameter.

    QueryParameterType, QueryParameterTypeArgs

    ArrayType Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterType
    [Optional] The type of the array's elements, if this is an array.
    StructTypes List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeStructTypesItem>
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    Type string
    [Required] The top level type of this field.
    ArrayType QueryParameterType
    [Optional] The type of the array's elements, if this is an array.
    StructTypes []QueryParameterTypeStructTypesItem
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    Type string
    [Required] The top level type of this field.
    arrayType QueryParameterType
    [Optional] The type of the array's elements, if this is an array.
    structTypes List<QueryParameterTypeStructTypesItem>
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type String
    [Required] The top level type of this field.
    arrayType QueryParameterType
    [Optional] The type of the array's elements, if this is an array.
    structTypes QueryParameterTypeStructTypesItem[]
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type string
    [Required] The top level type of this field.
    array_type QueryParameterType
    [Optional] The type of the array's elements, if this is an array.
    struct_types Sequence[QueryParameterTypeStructTypesItem]
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type str
    [Required] The top level type of this field.
    arrayType Property Map
    [Optional] The type of the array's elements, if this is an array.
    structTypes List<Property Map>
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type String
    [Required] The top level type of this field.

    QueryParameterTypeResponse, QueryParameterTypeResponseArgs

    StructTypes List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeStructTypesItemResponse>
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    Type string
    [Required] The top level type of this field.
    ArrayType Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeResponse
    [Optional] The type of the array's elements, if this is an array.
    StructTypes []QueryParameterTypeStructTypesItemResponse
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    Type string
    [Required] The top level type of this field.
    ArrayType QueryParameterTypeResponse
    [Optional] The type of the array's elements, if this is an array.
    structTypes List<QueryParameterTypeStructTypesItemResponse>
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type String
    [Required] The top level type of this field.
    arrayType QueryParameterTypeResponse
    [Optional] The type of the array's elements, if this is an array.
    structTypes QueryParameterTypeStructTypesItemResponse[]
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type string
    [Required] The top level type of this field.
    arrayType QueryParameterTypeResponse
    [Optional] The type of the array's elements, if this is an array.
    struct_types Sequence[QueryParameterTypeStructTypesItemResponse]
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type str
    [Required] The top level type of this field.
    array_type QueryParameterTypeResponse
    [Optional] The type of the array's elements, if this is an array.
    structTypes List<Property Map>
    [Optional] The types of the fields of this struct, in order, if this is a struct.
    type String
    [Required] The top level type of this field.
    arrayType Property Map
    [Optional] The type of the array's elements, if this is an array.

    QueryParameterTypeStructTypesItem, QueryParameterTypeStructTypesItemArgs

    Description string
    [Optional] Human-oriented description of the field.
    Name string
    [Optional] The name of this field.
    Type Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterType
    [Required] The type of this field.
    Description string
    [Optional] Human-oriented description of the field.
    Name string
    [Optional] The name of this field.
    Type QueryParameterType
    [Required] The type of this field.
    description String
    [Optional] Human-oriented description of the field.
    name String
    [Optional] The name of this field.
    type QueryParameterType
    [Required] The type of this field.
    description string
    [Optional] Human-oriented description of the field.
    name string
    [Optional] The name of this field.
    type QueryParameterType
    [Required] The type of this field.
    description str
    [Optional] Human-oriented description of the field.
    name str
    [Optional] The name of this field.
    type QueryParameterType
    [Required] The type of this field.
    description String
    [Optional] Human-oriented description of the field.
    name String
    [Optional] The name of this field.
    type Property Map
    [Required] The type of this field.

    QueryParameterTypeStructTypesItemResponse, QueryParameterTypeStructTypesItemResponseArgs

    Description string
    [Optional] Human-oriented description of the field.
    Name string
    [Optional] The name of this field.
    Type Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterTypeResponse
    [Required] The type of this field.
    Description string
    [Optional] Human-oriented description of the field.
    Name string
    [Optional] The name of this field.
    Type QueryParameterTypeResponse
    [Required] The type of this field.
    description String
    [Optional] Human-oriented description of the field.
    name String
    [Optional] The name of this field.
    type QueryParameterTypeResponse
    [Required] The type of this field.
    description string
    [Optional] Human-oriented description of the field.
    name string
    [Optional] The name of this field.
    type QueryParameterTypeResponse
    [Required] The type of this field.
    description str
    [Optional] Human-oriented description of the field.
    name str
    [Optional] The name of this field.
    type QueryParameterTypeResponse
    [Required] The type of this field.
    description String
    [Optional] Human-oriented description of the field.
    name String
    [Optional] The name of this field.
    type Property Map
    [Required] The type of this field.

    QueryParameterValue, QueryParameterValueArgs

    ArrayValues List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterValue>
    [Optional] The array values, if this is an array type.
    StructValues Dictionary<string, string>
    [Optional] The struct field values, in order of the struct type's declaration.
    Value string
    [Optional] The value of this value, if a simple scalar type.
    ArrayValues []QueryParameterValue
    [Optional] The array values, if this is an array type.
    StructValues map[string]string
    [Optional] The struct field values, in order of the struct type's declaration.
    Value string
    [Optional] The value of this value, if a simple scalar type.
    arrayValues List<QueryParameterValue>
    [Optional] The array values, if this is an array type.
    structValues Map<String,String>
    [Optional] The struct field values, in order of the struct type's declaration.
    value String
    [Optional] The value of this value, if a simple scalar type.
    arrayValues QueryParameterValue[]
    [Optional] The array values, if this is an array type.
    structValues {[key: string]: string}
    [Optional] The struct field values, in order of the struct type's declaration.
    value string
    [Optional] The value of this value, if a simple scalar type.
    array_values Sequence[QueryParameterValue]
    [Optional] The array values, if this is an array type.
    struct_values Mapping[str, str]
    [Optional] The struct field values, in order of the struct type's declaration.
    value str
    [Optional] The value of this value, if a simple scalar type.
    arrayValues List<Property Map>
    [Optional] The array values, if this is an array type.
    structValues Map<String>
    [Optional] The struct field values, in order of the struct type's declaration.
    value String
    [Optional] The value of this value, if a simple scalar type.

    QueryParameterValueResponse, QueryParameterValueResponseArgs

    ArrayValues List<Pulumi.GoogleNative.BigQuery.V2.Inputs.QueryParameterValueResponse>
    [Optional] The array values, if this is an array type.
    StructValues Dictionary<string, string>
    [Optional] The struct field values, in order of the struct type's declaration.
    Value string
    [Optional] The value of this value, if a simple scalar type.
    ArrayValues []QueryParameterValueResponse
    [Optional] The array values, if this is an array type.
    StructValues map[string]string
    [Optional] The struct field values, in order of the struct type's declaration.
    Value string
    [Optional] The value of this value, if a simple scalar type.
    arrayValues List<QueryParameterValueResponse>
    [Optional] The array values, if this is an array type.
    structValues Map<String,String>
    [Optional] The struct field values, in order of the struct type's declaration.
    value String
    [Optional] The value of this value, if a simple scalar type.
    arrayValues QueryParameterValueResponse[]
    [Optional] The array values, if this is an array type.
    structValues {[key: string]: string}
    [Optional] The struct field values, in order of the struct type's declaration.
    value string
    [Optional] The value of this value, if a simple scalar type.
    array_values Sequence[QueryParameterValueResponse]
    [Optional] The array values, if this is an array type.
    struct_values Mapping[str, str]
    [Optional] The struct field values, in order of the struct type's declaration.
    value str
    [Optional] The value of this value, if a simple scalar type.
    arrayValues List<Property Map>
    [Optional] The array values, if this is an array type.
    structValues Map<String>
    [Optional] The struct field values, in order of the struct type's declaration.
    value String
    [Optional] The value of this value, if a simple scalar type.

    QueryTimelineSampleResponse, QueryTimelineSampleResponseArgs

    ActiveUnits string
    Total number of units currently being processed by workers. This does not correspond directly to slot usage. This is the largest value observed since the last sample.
    CompletedUnits string
    Total parallel units of work completed by this query.
    ElapsedMs string
    Milliseconds elapsed since the start of query execution.
    EstimatedRunnableUnits string
    Units of work that can be scheduled immediately. Providing additional slots for these units of work will speed up the query, provided no other query in the reservation needs additional slots.
    PendingUnits string
    Total units of work remaining for the query. This number can be revised (increased or decreased) while the query is running.
    TotalSlotMs string
    Cumulative slot-ms consumed by the query.
    ActiveUnits string
    Total number of units currently being processed by workers. This does not correspond directly to slot usage. This is the largest value observed since the last sample.
    CompletedUnits string
    Total parallel units of work completed by this query.
    ElapsedMs string
    Milliseconds elapsed since the start of query execution.
    EstimatedRunnableUnits string
    Units of work that can be scheduled immediately. Providing additional slots for these units of work will speed up the query, provided no other query in the reservation needs additional slots.
    PendingUnits string
    Total units of work remaining for the query. This number can be revised (increased or decreased) while the query is running.
    TotalSlotMs string
    Cumulative slot-ms consumed by the query.
    activeUnits String
    Total number of units currently being processed by workers. This does not correspond directly to slot usage. This is the largest value observed since the last sample.
    completedUnits String
    Total parallel units of work completed by this query.
    elapsedMs String
    Milliseconds elapsed since the start of query execution.
    estimatedRunnableUnits String
    Units of work that can be scheduled immediately. Providing additional slots for these units of work will speed up the query, provided no other query in the reservation needs additional slots.
    pendingUnits String
    Total units of work remaining for the query. This number can be revised (increased or decreased) while the query is running.
    totalSlotMs String
    Cumulative slot-ms consumed by the query.
    activeUnits string
    Total number of units currently being processed by workers. This does not correspond directly to slot usage. This is the largest value observed since the last sample.
    completedUnits string
    Total parallel units of work completed by this query.
    elapsedMs string
    Milliseconds elapsed since the start of query execution.
    estimatedRunnableUnits string
    Units of work that can be scheduled immediately. Providing additional slots for these units of work will speed up the query, provided no other query in the reservation needs additional slots.
    pendingUnits string
    Total units of work remaining for the query. This number can be revised (increased or decreased) while the query is running.
    totalSlotMs string
    Cumulative slot-ms consumed by the query.
    active_units str
    Total number of units currently being processed by workers. This does not correspond directly to slot usage. This is the largest value observed since the last sample.
    completed_units str
    Total parallel units of work completed by this query.
    elapsed_ms str
    Milliseconds elapsed since the start of query execution.
    estimated_runnable_units str
    Units of work that can be scheduled immediately. Providing additional slots for these units of work will speed up the query, provided no other query in the reservation needs additional slots.
    pending_units str
    Total units of work remaining for the query. This number can be revised (increased or decreased) while the query is running.
    total_slot_ms str
    Cumulative slot-ms consumed by the query.
    activeUnits String
    Total number of units currently being processed by workers. This does not correspond directly to slot usage. This is the largest value observed since the last sample.
    completedUnits String
    Total parallel units of work completed by this query.
    elapsedMs String
    Milliseconds elapsed since the start of query execution.
    estimatedRunnableUnits String
    Units of work that can be scheduled immediately. Providing additional slots for these units of work will speed up the query, provided no other query in the reservation needs additional slots.
    pendingUnits String
    Total units of work remaining for the query. This number can be revised (increased or decreased) while the query is running.
    totalSlotMs String
    Cumulative slot-ms consumed by the query.

    RangePartitioning, RangePartitioningArgs

    Field string
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    Range Pulumi.GoogleNative.BigQuery.V2.Inputs.RangePartitioningRange
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    Field string
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    Range RangePartitioningRange
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field String
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range RangePartitioningRange
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field string
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range RangePartitioningRange
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field str
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range RangePartitioningRange
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field String
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range Property Map
    [TrustedTester] [Required] Defines the ranges for range partitioning.

    RangePartitioningRange, RangePartitioningRangeArgs

    End string
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    Interval string
    [TrustedTester] [Required] The width of each interval.
    Start string
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    End string
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    Interval string
    [TrustedTester] [Required] The width of each interval.
    Start string
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end String
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval String
    [TrustedTester] [Required] The width of each interval.
    start String
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end string
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval string
    [TrustedTester] [Required] The width of each interval.
    start string
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end str
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval str
    [TrustedTester] [Required] The width of each interval.
    start str
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end String
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval String
    [TrustedTester] [Required] The width of each interval.
    start String
    [TrustedTester] [Required] The start of range partitioning, inclusive.

    RangePartitioningRangeResponse, RangePartitioningRangeResponseArgs

    End string
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    Interval string
    [TrustedTester] [Required] The width of each interval.
    Start string
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    End string
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    Interval string
    [TrustedTester] [Required] The width of each interval.
    Start string
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end String
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval String
    [TrustedTester] [Required] The width of each interval.
    start String
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end string
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval string
    [TrustedTester] [Required] The width of each interval.
    start string
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end str
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval str
    [TrustedTester] [Required] The width of each interval.
    start str
    [TrustedTester] [Required] The start of range partitioning, inclusive.
    end String
    [TrustedTester] [Required] The end of range partitioning, exclusive.
    interval String
    [TrustedTester] [Required] The width of each interval.
    start String
    [TrustedTester] [Required] The start of range partitioning, inclusive.

    RangePartitioningResponse, RangePartitioningResponseArgs

    Field string
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    Range Pulumi.GoogleNative.BigQuery.V2.Inputs.RangePartitioningRangeResponse
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    Field string
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    Range RangePartitioningRangeResponse
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field String
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range RangePartitioningRangeResponse
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field string
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range RangePartitioningRangeResponse
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field str
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range RangePartitioningRangeResponse
    [TrustedTester] [Required] Defines the ranges for range partitioning.
    field String
    [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
    range Property Map
    [TrustedTester] [Required] Defines the ranges for range partitioning.

    RoutineReferenceResponse, RoutineReferenceResponseArgs

    DatasetId string
    The ID of the dataset containing this routine.
    Project string
    The ID of the project containing this routine.
    RoutineId string
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    DatasetId string
    The ID of the dataset containing this routine.
    Project string
    The ID of the project containing this routine.
    RoutineId string
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    datasetId String
    The ID of the dataset containing this routine.
    project String
    The ID of the project containing this routine.
    routineId String
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    datasetId string
    The ID of the dataset containing this routine.
    project string
    The ID of the project containing this routine.
    routineId string
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    dataset_id str
    The ID of the dataset containing this routine.
    project str
    The ID of the project containing this routine.
    routine_id str
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    datasetId String
    The ID of the dataset containing this routine.
    project String
    The ID of the project containing this routine.
    routineId String
    The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

    RowAccessPolicyReferenceResponse, RowAccessPolicyReferenceResponseArgs

    DatasetId string
    The ID of the dataset containing this row access policy.
    PolicyId string
    The ID of the row access policy. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    Project string
    The ID of the project containing this row access policy.
    TableId string
    The ID of the table containing this row access policy.
    DatasetId string
    The ID of the dataset containing this row access policy.
    PolicyId string
    The ID of the row access policy. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    Project string
    The ID of the project containing this row access policy.
    TableId string
    The ID of the table containing this row access policy.
    datasetId String
    The ID of the dataset containing this row access policy.
    policyId String
    The ID of the row access policy. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    project String
    The ID of the project containing this row access policy.
    tableId String
    The ID of the table containing this row access policy.
    datasetId string
    The ID of the dataset containing this row access policy.
    policyId string
    The ID of the row access policy. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    project string
    The ID of the project containing this row access policy.
    tableId string
    The ID of the table containing this row access policy.
    dataset_id str
    The ID of the dataset containing this row access policy.
    policy_id str
    The ID of the row access policy. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    project str
    The ID of the project containing this row access policy.
    table_id str
    The ID of the table containing this row access policy.
    datasetId String
    The ID of the dataset containing this row access policy.
    policyId String
    The ID of the row access policy. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
    project String
    The ID of the project containing this row access policy.
    tableId String
    The ID of the table containing this row access policy.

    RowLevelSecurityStatisticsResponse, RowLevelSecurityStatisticsResponseArgs

    RowLevelSecurityApplied bool
    [Preview] Whether any accessed data was protected by row access policies.
    RowLevelSecurityApplied bool
    [Preview] Whether any accessed data was protected by row access policies.
    rowLevelSecurityApplied Boolean
    [Preview] Whether any accessed data was protected by row access policies.
    rowLevelSecurityApplied boolean
    [Preview] Whether any accessed data was protected by row access policies.
    row_level_security_applied bool
    [Preview] Whether any accessed data was protected by row access policies.
    rowLevelSecurityApplied Boolean
    [Preview] Whether any accessed data was protected by row access policies.

    ScriptStackFrameResponse, ScriptStackFrameResponseArgs

    EndColumn int
    One-based end column.
    EndLine int
    One-based end line.
    ProcedureId string
    Name of the active procedure, empty if in a top-level script.
    StartColumn int
    One-based start column.
    StartLine int
    One-based start line.
    Text string
    Text of the current statement/expression.
    EndColumn int
    One-based end column.
    EndLine int
    One-based end line.
    ProcedureId string
    Name of the active procedure, empty if in a top-level script.
    StartColumn int
    One-based start column.
    StartLine int
    One-based start line.
    Text string
    Text of the current statement/expression.
    endColumn Integer
    One-based end column.
    endLine Integer
    One-based end line.
    procedureId String
    Name of the active procedure, empty if in a top-level script.
    startColumn Integer
    One-based start column.
    startLine Integer
    One-based start line.
    text String
    Text of the current statement/expression.
    endColumn number
    One-based end column.
    endLine number
    One-based end line.
    procedureId string
    Name of the active procedure, empty if in a top-level script.
    startColumn number
    One-based start column.
    startLine number
    One-based start line.
    text string
    Text of the current statement/expression.
    end_column int
    One-based end column.
    end_line int
    One-based end line.
    procedure_id str
    Name of the active procedure, empty if in a top-level script.
    start_column int
    One-based start column.
    start_line int
    One-based start line.
    text str
    Text of the current statement/expression.
    endColumn Number
    One-based end column.
    endLine Number
    One-based end line.
    procedureId String
    Name of the active procedure, empty if in a top-level script.
    startColumn Number
    One-based start column.
    startLine Number
    One-based start line.
    text String
    Text of the current statement/expression.

    ScriptStatisticsResponse, ScriptStatisticsResponseArgs

    EvaluationKind string
    Whether this child job was a statement or expression.
    StackFrames List<Pulumi.GoogleNative.BigQuery.V2.Inputs.ScriptStackFrameResponse>
    Stack trace showing the line/column/procedure name of each frame on the stack at the point where the current evaluation happened. The leaf frame is first, the primary script is last. Never empty.
    EvaluationKind string
    Whether this child job was a statement or expression.
    StackFrames []ScriptStackFrameResponse
    Stack trace showing the line/column/procedure name of each frame on the stack at the point where the current evaluation happened. The leaf frame is first, the primary script is last. Never empty.
    evaluationKind String
    Whether this child job was a statement or expression.
    stackFrames List<ScriptStackFrameResponse>
    Stack trace showing the line/column/procedure name of each frame on the stack at the point where the current evaluation happened. The leaf frame is first, the primary script is last. Never empty.
    evaluationKind string
    Whether this child job was a statement or expression.
    stackFrames ScriptStackFrameResponse[]
    Stack trace showing the line/column/procedure name of each frame on the stack at the point where the current evaluation happened. The leaf frame is first, the primary script is last. Never empty.
    evaluation_kind str
    Whether this child job was a statement or expression.
    stack_frames Sequence[ScriptStackFrameResponse]
    Stack trace showing the line/column/procedure name of each frame on the stack at the point where the current evaluation happened. The leaf frame is first, the primary script is last. Never empty.
    evaluationKind String
    Whether this child job was a statement or expression.
    stackFrames List<Property Map>
    Stack trace showing the line/column/procedure name of each frame on the stack at the point where the current evaluation happened. The leaf frame is first, the primary script is last. Never empty.

    SearchStatisticsResponse, SearchStatisticsResponseArgs

    IndexUnusedReasons List<Pulumi.GoogleNative.BigQuery.V2.Inputs.IndexUnusedReasonResponse>
    When index_usage_mode is UNUSED or PARTIALLY_USED, this field explains why index was not used in all or part of the search query. If index_usage_mode is FULLLY_USED, this field is not populated.
    IndexUsageMode string
    Specifies index usage mode for the query.
    IndexUnusedReasons []IndexUnusedReasonResponse
    When index_usage_mode is UNUSED or PARTIALLY_USED, this field explains why index was not used in all or part of the search query. If index_usage_mode is FULLLY_USED, this field is not populated.
    IndexUsageMode string
    Specifies index usage mode for the query.
    indexUnusedReasons List<IndexUnusedReasonResponse>
    When index_usage_mode is UNUSED or PARTIALLY_USED, this field explains why index was not used in all or part of the search query. If index_usage_mode is FULLLY_USED, this field is not populated.
    indexUsageMode String
    Specifies index usage mode for the query.
    indexUnusedReasons IndexUnusedReasonResponse[]
    When index_usage_mode is UNUSED or PARTIALLY_USED, this field explains why index was not used in all or part of the search query. If index_usage_mode is FULLLY_USED, this field is not populated.
    indexUsageMode string
    Specifies index usage mode for the query.
    index_unused_reasons Sequence[IndexUnusedReasonResponse]
    When index_usage_mode is UNUSED or PARTIALLY_USED, this field explains why index was not used in all or part of the search query. If index_usage_mode is FULLLY_USED, this field is not populated.
    index_usage_mode str
    Specifies index usage mode for the query.
    indexUnusedReasons List<Property Map>
    When index_usage_mode is UNUSED or PARTIALLY_USED, this field explains why index was not used in all or part of the search query. If index_usage_mode is FULLLY_USED, this field is not populated.
    indexUsageMode String
    Specifies index usage mode for the query.

    SessionInfoResponse, SessionInfoResponseArgs

    SessionId string
    // [Preview] Id of the session.
    SessionId string
    // [Preview] Id of the session.
    sessionId String
    // [Preview] Id of the session.
    sessionId string
    // [Preview] Id of the session.
    session_id str
    // [Preview] Id of the session.
    sessionId String
    // [Preview] Id of the session.

    SparkLoggingInfoResponse, SparkLoggingInfoResponseArgs

    Project string
    Project ID used for logging
    ResourceType string
    Resource type used for logging
    Project string
    Project ID used for logging
    ResourceType string
    Resource type used for logging
    project String
    Project ID used for logging
    resourceType String
    Resource type used for logging
    project string
    Project ID used for logging
    resourceType string
    Resource type used for logging
    project str
    Project ID used for logging
    resource_type str
    Resource type used for logging
    project String
    Project ID used for logging
    resourceType String
    Resource type used for logging

    SparkStatisticsResponse, SparkStatisticsResponseArgs

    Endpoints Dictionary<string, string>
    Endpoints generated for the Spark job.
    LoggingInfo Pulumi.GoogleNative.BigQuery.V2.Inputs.SparkLoggingInfoResponse
    Logging info is used to generate a link to Cloud Logging.
    SparkJobId string
    Spark job id if a Spark job is created successfully.
    SparkJobLocation string
    Location where the Spark job is executed.
    Endpoints map[string]string
    Endpoints generated for the Spark job.
    LoggingInfo SparkLoggingInfoResponse
    Logging info is used to generate a link to Cloud Logging.
    SparkJobId string
    Spark job id if a Spark job is created successfully.
    SparkJobLocation string
    Location where the Spark job is executed.
    endpoints Map<String,String>
    Endpoints generated for the Spark job.
    loggingInfo SparkLoggingInfoResponse
    Logging info is used to generate a link to Cloud Logging.
    sparkJobId String
    Spark job id if a Spark job is created successfully.
    sparkJobLocation String
    Location where the Spark job is executed.
    endpoints {[key: string]: string}
    Endpoints generated for the Spark job.
    loggingInfo SparkLoggingInfoResponse
    Logging info is used to generate a link to Cloud Logging.
    sparkJobId string
    Spark job id if a Spark job is created successfully.
    sparkJobLocation string
    Location where the Spark job is executed.
    endpoints Mapping[str, str]
    Endpoints generated for the Spark job.
    logging_info SparkLoggingInfoResponse
    Logging info is used to generate a link to Cloud Logging.
    spark_job_id str
    Spark job id if a Spark job is created successfully.
    spark_job_location str
    Location where the Spark job is executed.
    endpoints Map<String>
    Endpoints generated for the Spark job.
    loggingInfo Property Map
    Logging info is used to generate a link to Cloud Logging.
    sparkJobId String
    Spark job id if a Spark job is created successfully.
    sparkJobLocation String
    Location where the Spark job is executed.

    TableFieldSchema, TableFieldSchemaArgs

    Categories Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaCategories
    [Optional] The categories attached to this field, used for field-level access control.
    Collation string
    Optional. Collation specification of the field. It only can be set on string type field.
    DefaultValueExpression string
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    Description string
    [Optional] The field description. The maximum length is 1,024 characters.
    Fields List<Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchema>
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    MaxLength string
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    Mode string
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    Name string
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    PolicyTags Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaPolicyTags
    Precision string
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    RangeElementType Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaRangeElementType
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    RoundingMode string
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    Scale string
    [Optional] See documentation for precision.
    Type string
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    Categories TableFieldSchemaCategories
    [Optional] The categories attached to this field, used for field-level access control.
    Collation string
    Optional. Collation specification of the field. It only can be set on string type field.
    DefaultValueExpression string
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    Description string
    [Optional] The field description. The maximum length is 1,024 characters.
    Fields []TableFieldSchema
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    MaxLength string
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    Mode string
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    Name string
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    PolicyTags TableFieldSchemaPolicyTags
    Precision string
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    RangeElementType TableFieldSchemaRangeElementType
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    RoundingMode string
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    Scale string
    [Optional] See documentation for precision.
    Type string
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories TableFieldSchemaCategories
    [Optional] The categories attached to this field, used for field-level access control.
    collation String
    Optional. Collation specification of the field. It only can be set on string type field.
    defaultValueExpression String
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description String
    [Optional] The field description. The maximum length is 1,024 characters.
    fields List<TableFieldSchema>
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    maxLength String
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode String
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name String
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policyTags TableFieldSchemaPolicyTags
    precision String
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    rangeElementType TableFieldSchemaRangeElementType
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    roundingMode String
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale String
    [Optional] See documentation for precision.
    type String
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories TableFieldSchemaCategories
    [Optional] The categories attached to this field, used for field-level access control.
    collation string
    Optional. Collation specification of the field. It only can be set on string type field.
    defaultValueExpression string
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description string
    [Optional] The field description. The maximum length is 1,024 characters.
    fields TableFieldSchema[]
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    maxLength string
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode string
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name string
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policyTags TableFieldSchemaPolicyTags
    precision string
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    rangeElementType TableFieldSchemaRangeElementType
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    roundingMode string
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale string
    [Optional] See documentation for precision.
    type string
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories TableFieldSchemaCategories
    [Optional] The categories attached to this field, used for field-level access control.
    collation str
    Optional. Collation specification of the field. It only can be set on string type field.
    default_value_expression str
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description str
    [Optional] The field description. The maximum length is 1,024 characters.
    fields Sequence[TableFieldSchema]
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    max_length str
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode str
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name str
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policy_tags TableFieldSchemaPolicyTags
    precision str
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    range_element_type TableFieldSchemaRangeElementType
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    rounding_mode str
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale str
    [Optional] See documentation for precision.
    type str
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories Property Map
    [Optional] The categories attached to this field, used for field-level access control.
    collation String
    Optional. Collation specification of the field. It only can be set on string type field.
    defaultValueExpression String
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description String
    [Optional] The field description. The maximum length is 1,024 characters.
    fields List<Property Map>
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    maxLength String
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode String
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name String
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policyTags Property Map
    precision String
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    rangeElementType Property Map
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    roundingMode String
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale String
    [Optional] See documentation for precision.
    type String
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).

    TableFieldSchemaCategories, TableFieldSchemaCategoriesArgs

    Names List<string>
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    Names []string
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names string[]
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names Sequence[str]
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.

    TableFieldSchemaCategoriesResponse, TableFieldSchemaCategoriesResponseArgs

    Names List<string>
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    Names []string
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names string[]
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names Sequence[str]
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/taxonomies/2/categories/3". At most 5 categories are allowed.

    TableFieldSchemaPolicyTags, TableFieldSchemaPolicyTagsArgs

    Names List<string>
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    Names []string
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names string[]
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names Sequence[str]
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.

    TableFieldSchemaPolicyTagsResponse, TableFieldSchemaPolicyTagsResponseArgs

    Names List<string>
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    Names []string
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names string[]
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names Sequence[str]
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.
    names List<String>
    A list of category resource names. For example, "projects/1/location/eu/taxonomies/2/policyTags/3". At most 1 policy tag is allowed.

    TableFieldSchemaRangeElementType, TableFieldSchemaRangeElementTypeArgs

    Type string
    The field element type of a RANGE
    Type string
    The field element type of a RANGE
    type String
    The field element type of a RANGE
    type string
    The field element type of a RANGE
    type str
    The field element type of a RANGE
    type String
    The field element type of a RANGE

    TableFieldSchemaRangeElementTypeResponse, TableFieldSchemaRangeElementTypeResponseArgs

    Type string
    The field element type of a RANGE
    Type string
    The field element type of a RANGE
    type String
    The field element type of a RANGE
    type string
    The field element type of a RANGE
    type str
    The field element type of a RANGE
    type String
    The field element type of a RANGE

    TableFieldSchemaResponse, TableFieldSchemaResponseArgs

    Categories Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaCategoriesResponse
    [Optional] The categories attached to this field, used for field-level access control.
    Collation string
    Optional. Collation specification of the field. It only can be set on string type field.
    DefaultValueExpression string
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    Description string
    [Optional] The field description. The maximum length is 1,024 characters.
    Fields List<Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaResponse>
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    MaxLength string
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    Mode string
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    Name string
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    PolicyTags Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaPolicyTagsResponse
    Precision string
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    RangeElementType Pulumi.GoogleNative.BigQuery.V2.Inputs.TableFieldSchemaRangeElementTypeResponse
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    RoundingMode string
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    Scale string
    [Optional] See documentation for precision.
    Type string
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    Categories TableFieldSchemaCategoriesResponse
    [Optional] The categories attached to this field, used for field-level access control.
    Collation string
    Optional. Collation specification of the field. It only can be set on string type field.
    DefaultValueExpression string
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    Description string
    [Optional] The field description. The maximum length is 1,024 characters.
    Fields []TableFieldSchemaResponse
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    MaxLength string
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    Mode string
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    Name string
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    PolicyTags TableFieldSchemaPolicyTagsResponse
    Precision string
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    RangeElementType TableFieldSchemaRangeElementTypeResponse
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    RoundingMode string
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    Scale string
    [Optional] See documentation for precision.
    Type string
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories TableFieldSchemaCategoriesResponse
    [Optional] The categories attached to this field, used for field-level access control.
    collation String
    Optional. Collation specification of the field. It only can be set on string type field.
    defaultValueExpression String
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description String
    [Optional] The field description. The maximum length is 1,024 characters.
    fields List<TableFieldSchemaResponse>
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    maxLength String
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode String
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name String
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policyTags TableFieldSchemaPolicyTagsResponse
    precision String
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    rangeElementType TableFieldSchemaRangeElementTypeResponse
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    roundingMode String
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale String
    [Optional] See documentation for precision.
    type String
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories TableFieldSchemaCategoriesResponse
    [Optional] The categories attached to this field, used for field-level access control.
    collation string
    Optional. Collation specification of the field. It only can be set on string type field.
    defaultValueExpression string
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description string
    [Optional] The field description. The maximum length is 1,024 characters.
    fields TableFieldSchemaResponse[]
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    maxLength string
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode string
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name string
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policyTags TableFieldSchemaPolicyTagsResponse
    precision string
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    rangeElementType TableFieldSchemaRangeElementTypeResponse
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    roundingMode string
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale string
    [Optional] See documentation for precision.
    type string
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories TableFieldSchemaCategoriesResponse
    [Optional] The categories attached to this field, used for field-level access control.
    collation str
    Optional. Collation specification of the field. It only can be set on string type field.
    default_value_expression str
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description str
    [Optional] The field description. The maximum length is 1,024 characters.
    fields Sequence[TableFieldSchemaResponse]
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    max_length str
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode str
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name str
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policy_tags TableFieldSchemaPolicyTagsResponse
    precision str
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    range_element_type TableFieldSchemaRangeElementTypeResponse
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    rounding_mode str
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale str
    [Optional] See documentation for precision.
    type str
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).
    categories Property Map
    [Optional] The categories attached to this field, used for field-level access control.
    collation String
    Optional. Collation specification of the field. It only can be set on string type field.
    defaultValueExpression String
    Optional. A SQL expression to specify the default value for this field. It can only be set for top level fields (columns). You can use struct or array expression to specify default value for the entire struct or array. The valid SQL expressions are: - Literals for all data types, including STRUCT and ARRAY. - Following functions: - CURRENT_TIMESTAMP - CURRENT_TIME - CURRENT_DATE - CURRENT_DATETIME - GENERATE_UUID - RAND - SESSION_USER - ST_GEOGPOINT - Struct or array composed with the above allowed functions, for example, [CURRENT_DATE(), DATE '2020-01-01']
    description String
    [Optional] The field description. The maximum length is 1,024 characters.
    fields List<Property Map>
    [Optional] Describes the nested schema fields if the type property is set to RECORD.
    maxLength String
    [Optional] Maximum length of values of this field for STRINGS or BYTES. If max_length is not specified, no maximum length constraint is imposed on this field. If type = "STRING", then max_length represents the maximum UTF-8 length of strings in this field. If type = "BYTES", then max_length represents the maximum number of bytes in this field. It is invalid to set this field if type ≠ "STRING" and ≠ "BYTES".
    mode String
    [Optional] The field mode. Possible values include NULLABLE, REQUIRED and REPEATED. The default value is NULLABLE.
    name String
    [Required] The field name. The name must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_), and must start with a letter or underscore. The maximum length is 300 characters.
    policyTags Property Map
    precision String
    [Optional] Precision (maximum number of total digits in base 10) and scale (maximum number of digits in the fractional part in base 10) constraints for values of this field for NUMERIC or BIGNUMERIC. It is invalid to set precision or scale if type ≠ "NUMERIC" and ≠ "BIGNUMERIC". If precision and scale are not specified, no value range constraint is imposed on this field insofar as values are permitted by the type. Values of this NUMERIC or BIGNUMERIC field must be in this range when: - Precision (P) and scale (S) are specified: [-10P-S + 10-S, 10P-S - 10-S] - Precision (P) is specified but not scale (and thus scale is interpreted to be equal to zero): [-10P + 1, 10P - 1]. Acceptable values for precision and scale if both are specified: - If type = "NUMERIC": 1 ≤ precision - scale ≤ 29 and 0 ≤ scale ≤ 9. - If type = "BIGNUMERIC": 1 ≤ precision - scale ≤ 38 and 0 ≤ scale ≤ 38. Acceptable values for precision if only precision is specified but not scale (and thus scale is interpreted to be equal to zero): - If type = "NUMERIC": 1 ≤ precision ≤ 29. - If type = "BIGNUMERIC": 1 ≤ precision ≤ 38. If scale is specified but not precision, then it is invalid.
    rangeElementType Property Map
    Optional. The subtype of the RANGE, if the type of this field is RANGE. If the type is RANGE, this field is required. Possible values for the field element type of a RANGE include: - DATE - DATETIME - TIMESTAMP
    roundingMode String
    Optional. Rounding Mode specification of the field. It only can be set on NUMERIC or BIGNUMERIC type fields.
    scale String
    [Optional] See documentation for precision.
    type String
    [Required] The field data type. Possible values include STRING, BYTES, INTEGER, INT64 (same as INTEGER), FLOAT, FLOAT64 (same as FLOAT), NUMERIC, BIGNUMERIC, BOOLEAN, BOOL (same as BOOLEAN), TIMESTAMP, DATE, TIME, DATETIME, INTERVAL, RECORD (where RECORD indicates that the field contains a nested schema) or STRUCT (same as RECORD).

    TableReference, TableReferenceArgs

    DatasetId string
    [Required] The ID of the dataset containing this table.
    Project string
    [Required] The ID of the project containing this table.
    TableId string
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    DatasetId string
    [Required] The ID of the dataset containing this table.
    Project string
    [Required] The ID of the project containing this table.
    TableId string
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId String
    [Required] The ID of the dataset containing this table.
    project String
    [Required] The ID of the project containing this table.
    tableId String
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId string
    [Required] The ID of the dataset containing this table.
    project string
    [Required] The ID of the project containing this table.
    tableId string
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    dataset_id str
    [Required] The ID of the dataset containing this table.
    project str
    [Required] The ID of the project containing this table.
    table_id str
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId String
    [Required] The ID of the dataset containing this table.
    project String
    [Required] The ID of the project containing this table.
    tableId String
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    TableReferenceResponse, TableReferenceResponseArgs

    DatasetId string
    [Required] The ID of the dataset containing this table.
    Project string
    [Required] The ID of the project containing this table.
    TableId string
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    DatasetId string
    [Required] The ID of the dataset containing this table.
    Project string
    [Required] The ID of the project containing this table.
    TableId string
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId String
    [Required] The ID of the dataset containing this table.
    project String
    [Required] The ID of the project containing this table.
    tableId String
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId string
    [Required] The ID of the dataset containing this table.
    project string
    [Required] The ID of the project containing this table.
    tableId string
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    dataset_id str
    [Required] The ID of the dataset containing this table.
    project str
    [Required] The ID of the project containing this table.
    table_id str
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
    datasetId String
    [Required] The ID of the dataset containing this table.
    project String
    [Required] The ID of the project containing this table.
    tableId String
    [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

    TableSchema, TableSchemaArgs

    Fields []TableFieldSchema
    Describes the fields in a table.
    fields List<TableFieldSchema>
    Describes the fields in a table.
    fields TableFieldSchema[]
    Describes the fields in a table.
    fields Sequence[TableFieldSchema]
    Describes the fields in a table.
    fields List<Property Map>
    Describes the fields in a table.

    TableSchemaResponse, TableSchemaResponseArgs

    Fields []TableFieldSchemaResponse
    Describes the fields in a table.
    fields List<TableFieldSchemaResponse>
    Describes the fields in a table.
    fields TableFieldSchemaResponse[]
    Describes the fields in a table.
    fields Sequence[TableFieldSchemaResponse]
    Describes the fields in a table.
    fields List<Property Map>
    Describes the fields in a table.

    TimePartitioning, TimePartitioningArgs

    ExpirationMs string
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    Field string
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    RequirePartitionFilter bool
    Type string
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    ExpirationMs string
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    Field string
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    RequirePartitionFilter bool
    Type string
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expirationMs String
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field String
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    requirePartitionFilter Boolean
    type String
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expirationMs string
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field string
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    requirePartitionFilter boolean
    type string
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expiration_ms str
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field str
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    require_partition_filter bool
    type str
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expirationMs String
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field String
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    requirePartitionFilter Boolean
    type String
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.

    TimePartitioningResponse, TimePartitioningResponseArgs

    ExpirationMs string
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    Field string
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    RequirePartitionFilter bool
    Type string
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    ExpirationMs string
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    Field string
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    RequirePartitionFilter bool
    Type string
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expirationMs String
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field String
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    requirePartitionFilter Boolean
    type String
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expirationMs string
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field string
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    requirePartitionFilter boolean
    type string
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expiration_ms str
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field str
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    require_partition_filter bool
    type str
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.
    expirationMs String
    [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
    field String
    [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
    requirePartitionFilter Boolean
    type String
    [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.

    TransactionInfoResponse, TransactionInfoResponseArgs

    TransactionId string
    // [Alpha] Id of the transaction.
    TransactionId string
    // [Alpha] Id of the transaction.
    transactionId String
    // [Alpha] Id of the transaction.
    transactionId string
    // [Alpha] Id of the transaction.
    transaction_id str
    // [Alpha] Id of the transaction.
    transactionId String
    // [Alpha] Id of the transaction.

    UserDefinedFunctionResource, UserDefinedFunctionResourceArgs

    InlineCode string
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    ResourceUri string
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    InlineCode string
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    ResourceUri string
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inlineCode String
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resourceUri String
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inlineCode string
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resourceUri string
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inline_code str
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resource_uri str
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inlineCode String
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resourceUri String
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).

    UserDefinedFunctionResourceResponse, UserDefinedFunctionResourceResponseArgs

    InlineCode string
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    ResourceUri string
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    InlineCode string
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    ResourceUri string
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inlineCode String
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resourceUri String
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inlineCode string
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resourceUri string
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inline_code str
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resource_uri str
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
    inlineCode String
    [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
    resourceUri String
    [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native