Docs Packages
  1. Packages
  2. Google Cloud Native
  3. API Docs
  4. bigquery
  5. bigquery/v2
  6. Routine

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

google-native.bigquery/v2.Routine

Explore with Pulumi AI

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

    Creates a new routine in the dataset. Auto-naming is currently not supported for this resource.

    Create Routine Resource

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

    Constructor syntax

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

@overload
def Routine(resource_name: str,
            opts: Optional[ResourceOptions] = None,
            routine_reference: Optional[RoutineReferenceArgs] = None,
            routine_type: Optional[RoutineRoutineType] = None,
            dataset_id: Optional[str] = None,
            definition_body: Optional[str] = None,
            description: Optional[str] = None,
            determinism_level: Optional[RoutineDeterminismLevel] = None,
            imported_libraries: Optional[Sequence[str]] = None,
            language: Optional[RoutineLanguage] = None,
            project: Optional[str] = None,
            remote_function_options: Optional[RemoteFunctionOptionsArgs] = None,
            return_table_type: Optional[StandardSqlTableTypeArgs] = None,
            return_type: Optional[StandardSqlDataTypeArgs] = None,
            arguments: Optional[Sequence[ArgumentArgs]] = None,
            data_governance_type: Optional[RoutineDataGovernanceType] = None,
            security_mode: Optional[RoutineSecurityMode] = None,
            spark_options: Optional[SparkOptionsArgs] = None,
            strict_mode: Optional[bool] = None)
    func NewRoutine(ctx *Context, name string, args RoutineArgs, opts ...ResourceOption) (*Routine, error)
    public Routine(string name, RoutineArgs args, CustomResourceOptions? opts = null)
    public Routine(String name, RoutineArgs args)
public Routine(String name, RoutineArgs args, CustomResourceOptions options)

    type: google-native:bigquery/v2:Routine
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 RoutineArgs
    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 RoutineArgs
    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 RoutineArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args RoutineArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args RoutineArgs
    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 routineResource = new GoogleNative.BigQuery.V2.Routine("routineResource", new()
{
    RoutineReference = new GoogleNative.BigQuery.V2.Inputs.RoutineReferenceArgs
    {
        DatasetId = "string",
        Project = "string",
        RoutineId = "string",
    },
    RoutineType = GoogleNative.BigQuery.V2.RoutineRoutineType.RoutineTypeUnspecified,
    DatasetId = "string",
    DefinitionBody = "string",
    Description = "string",
    DeterminismLevel = GoogleNative.BigQuery.V2.RoutineDeterminismLevel.DeterminismLevelUnspecified,
    ImportedLibraries = new[]
    {
        "string",
    },
    Language = GoogleNative.BigQuery.V2.RoutineLanguage.LanguageUnspecified,
    Project = "string",
    RemoteFunctionOptions = new GoogleNative.BigQuery.V2.Inputs.RemoteFunctionOptionsArgs
    {
        Connection = "string",
        Endpoint = "string",
        MaxBatchingRows = "string",
        UserDefinedContext = 
        {
            { "string", "string" },
        },
    },
    ReturnTableType = new GoogleNative.BigQuery.V2.Inputs.StandardSqlTableTypeArgs
    {
        Columns = new[]
        {
            new GoogleNative.BigQuery.V2.Inputs.StandardSqlFieldArgs
            {
                Name = "string",
                Type = new GoogleNative.BigQuery.V2.Inputs.StandardSqlDataTypeArgs
                {
                    TypeKind = GoogleNative.BigQuery.V2.StandardSqlDataTypeTypeKind.TypeKindUnspecified,
                    ArrayElementType = standardSqlDataType,
                    RangeElementType = standardSqlDataType,
                    StructType = new GoogleNative.BigQuery.V2.Inputs.StandardSqlStructTypeArgs
                    {
                        Fields = new[]
                        {
                            standardSqlField,
                        },
                    },
                },
            },
        },
    },
    ReturnType = standardSqlDataType,
    Arguments = new[]
    {
        new GoogleNative.BigQuery.V2.Inputs.ArgumentArgs
        {
            ArgumentKind = GoogleNative.BigQuery.V2.ArgumentArgumentKind.ArgumentKindUnspecified,
            DataType = standardSqlDataType,
            IsAggregate = false,
            Mode = GoogleNative.BigQuery.V2.ArgumentMode.ModeUnspecified,
            Name = "string",
        },
    },
    DataGovernanceType = GoogleNative.BigQuery.V2.RoutineDataGovernanceType.DataGovernanceTypeUnspecified,
    SecurityMode = GoogleNative.BigQuery.V2.RoutineSecurityMode.SecurityModeUnspecified,
    SparkOptions = new GoogleNative.BigQuery.V2.Inputs.SparkOptionsArgs
    {
        ArchiveUris = new[]
        {
            "string",
        },
        Connection = "string",
        ContainerImage = "string",
        FileUris = new[]
        {
            "string",
        },
        JarUris = new[]
        {
            "string",
        },
        MainClass = "string",
        MainFileUri = "string",
        Properties = 
        {
            { "string", "string" },
        },
        PyFileUris = new[]
        {
            "string",
        },
        RuntimeVersion = "string",
    },
    StrictMode = false,
});

    example, err := bigquery.NewRoutine(ctx, "routineResource", &bigquery.RoutineArgs{
RoutineReference: &bigquery.RoutineReferenceArgs{
DatasetId: pulumi.String("string"),
Project: pulumi.String("string"),
RoutineId: pulumi.String("string"),
},
RoutineType: bigquery.RoutineRoutineTypeRoutineTypeUnspecified,
DatasetId: pulumi.String("string"),
DefinitionBody: pulumi.String("string"),
Description: pulumi.String("string"),
DeterminismLevel: bigquery.RoutineDeterminismLevelDeterminismLevelUnspecified,
ImportedLibraries: pulumi.StringArray{
pulumi.String("string"),
},
Language: bigquery.RoutineLanguageLanguageUnspecified,
Project: pulumi.String("string"),
RemoteFunctionOptions: &bigquery.RemoteFunctionOptionsArgs{
Connection: pulumi.String("string"),
Endpoint: pulumi.String("string"),
MaxBatchingRows: pulumi.String("string"),
UserDefinedContext: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
ReturnTableType: &bigquery.StandardSqlTableTypeArgs{
Columns: []bigquery.StandardSqlFieldArgs{
{
Name: pulumi.String("string"),
Type: {
TypeKind: bigquery.StandardSqlDataTypeTypeKindTypeKindUnspecified,
ArrayElementType: pulumi.Any(standardSqlDataType),
RangeElementType: pulumi.Any(standardSqlDataType),
StructType: {
Fields: bigquery.StandardSqlFieldArray{
standardSqlField,
},
},
},
},
},
},
ReturnType: pulumi.Any(standardSqlDataType),
Arguments: bigquery.ArgumentArray{
interface{}{
ArgumentKind: bigquery.ArgumentArgumentKindArgumentKindUnspecified,
DataType: pulumi.Any(standardSqlDataType),
IsAggregate: pulumi.Bool(false),
Mode: bigquery.ArgumentModeModeUnspecified,
Name: pulumi.String("string"),
},
},
DataGovernanceType: bigquery.RoutineDataGovernanceTypeDataGovernanceTypeUnspecified,
SecurityMode: bigquery.RoutineSecurityModeSecurityModeUnspecified,
SparkOptions: &bigquery.SparkOptionsArgs{
ArchiveUris: pulumi.StringArray{
pulumi.String("string"),
},
Connection: pulumi.String("string"),
ContainerImage: pulumi.String("string"),
FileUris: pulumi.StringArray{
pulumi.String("string"),
},
JarUris: pulumi.StringArray{
pulumi.String("string"),
},
MainClass: pulumi.String("string"),
MainFileUri: pulumi.String("string"),
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
PyFileUris: pulumi.StringArray{
pulumi.String("string"),
},
RuntimeVersion: pulumi.String("string"),
},
StrictMode: pulumi.Bool(false),
})

    var routineResource = new Routine("routineResource", RoutineArgs.builder()
    .routineReference(RoutineReferenceArgs.builder()
        .datasetId("string")
        .project("string")
        .routineId("string")
        .build())
    .routineType("ROUTINE_TYPE_UNSPECIFIED")
    .datasetId("string")
    .definitionBody("string")
    .description("string")
    .determinismLevel("DETERMINISM_LEVEL_UNSPECIFIED")
    .importedLibraries("string")
    .language("LANGUAGE_UNSPECIFIED")
    .project("string")
    .remoteFunctionOptions(RemoteFunctionOptionsArgs.builder()
        .connection("string")
        .endpoint("string")
        .maxBatchingRows("string")
        .userDefinedContext(Map.of("string", "string"))
        .build())
    .returnTableType(StandardSqlTableTypeArgs.builder()
        .columns(StandardSqlFieldArgs.builder()
            .name("string")
            .type(StandardSqlDataTypeArgs.builder()
                .typeKind("TYPE_KIND_UNSPECIFIED")
                .arrayElementType(standardSqlDataType)
                .rangeElementType(standardSqlDataType)
                .structType(StandardSqlStructTypeArgs.builder()
                    .fields(standardSqlField)
                    .build())
                .build())
            .build())
        .build())
    .returnType(standardSqlDataType)
    .arguments(ArgumentArgs.builder()
        .argumentKind("ARGUMENT_KIND_UNSPECIFIED")
        .dataType(standardSqlDataType)
        .isAggregate(false)
        .mode("MODE_UNSPECIFIED")
        .name("string")
        .build())
    .dataGovernanceType("DATA_GOVERNANCE_TYPE_UNSPECIFIED")
    .securityMode("SECURITY_MODE_UNSPECIFIED")
    .sparkOptions(SparkOptionsArgs.builder()
        .archiveUris("string")
        .connection("string")
        .containerImage("string")
        .fileUris("string")
        .jarUris("string")
        .mainClass("string")
        .mainFileUri("string")
        .properties(Map.of("string", "string"))
        .pyFileUris("string")
        .runtimeVersion("string")
        .build())
    .strictMode(false)
    .build());

    routine_resource = google_native.bigquery.v2.Routine("routineResource",
    routine_reference=google_native.bigquery.v2.RoutineReferenceArgs(
        dataset_id="string",
        project="string",
        routine_id="string",
    ),
    routine_type=google_native.bigquery.v2.RoutineRoutineType.ROUTINE_TYPE_UNSPECIFIED,
    dataset_id="string",
    definition_body="string",
    description="string",
    determinism_level=google_native.bigquery.v2.RoutineDeterminismLevel.DETERMINISM_LEVEL_UNSPECIFIED,
    imported_libraries=["string"],
    language=google_native.bigquery.v2.RoutineLanguage.LANGUAGE_UNSPECIFIED,
    project="string",
    remote_function_options=google_native.bigquery.v2.RemoteFunctionOptionsArgs(
        connection="string",
        endpoint="string",
        max_batching_rows="string",
        user_defined_context={
            "string": "string",
        },
    ),
    return_table_type=google_native.bigquery.v2.StandardSqlTableTypeArgs(
        columns=[google_native.bigquery.v2.StandardSqlFieldArgs(
            name="string",
            type=google_native.bigquery.v2.StandardSqlDataTypeArgs(
                type_kind=google_native.bigquery.v2.StandardSqlDataTypeTypeKind.TYPE_KIND_UNSPECIFIED,
                array_element_type=standard_sql_data_type,
                range_element_type=standard_sql_data_type,
                struct_type=google_native.bigquery.v2.StandardSqlStructTypeArgs(
                    fields=[standard_sql_field],
                ),
            ),
        )],
    ),
    return_type=standard_sql_data_type,
    arguments=[google_native.bigquery.v2.ArgumentArgs(
        argument_kind=google_native.bigquery.v2.ArgumentArgumentKind.ARGUMENT_KIND_UNSPECIFIED,
        data_type=standard_sql_data_type,
        is_aggregate=False,
        mode=google_native.bigquery.v2.ArgumentMode.MODE_UNSPECIFIED,
        name="string",
    )],
    data_governance_type=google_native.bigquery.v2.RoutineDataGovernanceType.DATA_GOVERNANCE_TYPE_UNSPECIFIED,
    security_mode=google_native.bigquery.v2.RoutineSecurityMode.SECURITY_MODE_UNSPECIFIED,
    spark_options=google_native.bigquery.v2.SparkOptionsArgs(
        archive_uris=["string"],
        connection="string",
        container_image="string",
        file_uris=["string"],
        jar_uris=["string"],
        main_class="string",
        main_file_uri="string",
        properties={
            "string": "string",
        },
        py_file_uris=["string"],
        runtime_version="string",
    ),
    strict_mode=False)

    const routineResource = new google_native.bigquery.v2.Routine("routineResource", {
    routineReference: {
        datasetId: "string",
        project: "string",
        routineId: "string",
    },
    routineType: google_native.bigquery.v2.RoutineRoutineType.RoutineTypeUnspecified,
    datasetId: "string",
    definitionBody: "string",
    description: "string",
    determinismLevel: google_native.bigquery.v2.RoutineDeterminismLevel.DeterminismLevelUnspecified,
    importedLibraries: ["string"],
    language: google_native.bigquery.v2.RoutineLanguage.LanguageUnspecified,
    project: "string",
    remoteFunctionOptions: {
        connection: "string",
        endpoint: "string",
        maxBatchingRows: "string",
        userDefinedContext: {
            string: "string",
        },
    },
    returnTableType: {
        columns: [{
            name: "string",
            type: {
                typeKind: google_native.bigquery.v2.StandardSqlDataTypeTypeKind.TypeKindUnspecified,
                arrayElementType: standardSqlDataType,
                rangeElementType: standardSqlDataType,
                structType: {
                    fields: [standardSqlField],
                },
            },
        }],
    },
    returnType: standardSqlDataType,
    arguments: [{
        argumentKind: google_native.bigquery.v2.ArgumentArgumentKind.ArgumentKindUnspecified,
        dataType: standardSqlDataType,
        isAggregate: false,
        mode: google_native.bigquery.v2.ArgumentMode.ModeUnspecified,
        name: "string",
    }],
    dataGovernanceType: google_native.bigquery.v2.RoutineDataGovernanceType.DataGovernanceTypeUnspecified,
    securityMode: google_native.bigquery.v2.RoutineSecurityMode.SecurityModeUnspecified,
    sparkOptions: {
        archiveUris: ["string"],
        connection: "string",
        containerImage: "string",
        fileUris: ["string"],
        jarUris: ["string"],
        mainClass: "string",
        mainFileUri: "string",
        properties: {
            string: "string",
        },
        pyFileUris: ["string"],
        runtimeVersion: "string",
    },
    strictMode: false,
});

    type: google-native:bigquery/v2:Routine
properties:
    arguments:
        - argumentKind: ARGUMENT_KIND_UNSPECIFIED
          dataType: ${standardSqlDataType}
          isAggregate: false
          mode: MODE_UNSPECIFIED
          name: string
    dataGovernanceType: DATA_GOVERNANCE_TYPE_UNSPECIFIED
    datasetId: string
    definitionBody: string
    description: string
    determinismLevel: DETERMINISM_LEVEL_UNSPECIFIED
    importedLibraries:
        - string
    language: LANGUAGE_UNSPECIFIED
    project: string
    remoteFunctionOptions:
        connection: string
        endpoint: string
        maxBatchingRows: string
        userDefinedContext:
            string: string
    returnTableType:
        columns:
            - name: string
              type:
                arrayElementType: ${standardSqlDataType}
                rangeElementType: ${standardSqlDataType}
                structType:
                    fields:
                        - ${standardSqlField}
                typeKind: TYPE_KIND_UNSPECIFIED
    returnType: ${standardSqlDataType}
    routineReference:
        datasetId: string
        project: string
        routineId: string
    routineType: ROUTINE_TYPE_UNSPECIFIED
    securityMode: SECURITY_MODE_UNSPECIFIED
    sparkOptions:
        archiveUris:
            - string
        connection: string
        containerImage: string
        fileUris:
            - string
        jarUris:
            - string
        mainClass: string
        mainFileUri: string
        properties:
            string: string
        pyFileUris:
            - string
        runtimeVersion: string
    strictMode: false

    Routine 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 Routine resource accepts the following input properties:

    DatasetId string
    DefinitionBody string
    The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.
    RoutineReference Pulumi.GoogleNative.BigQuery.V2.Inputs.RoutineReference
    Reference describing the ID of this routine.
    RoutineType Pulumi.GoogleNative.BigQuery.V2.RoutineRoutineType
    The type of routine.
    Arguments List<Pulumi.GoogleNative.BigQuery.V2.Inputs.Argument>
    Optional.
    DataGovernanceType Pulumi.GoogleNative.BigQuery.V2.RoutineDataGovernanceType
    Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.
    Description string
    Optional. The description of the routine, if defined.
    DeterminismLevel Pulumi.GoogleNative.BigQuery.V2.RoutineDeterminismLevel
    Optional. The determinism level of the JavaScript UDF, if defined.
    ImportedLibraries List<string>
    Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
    Language Pulumi.GoogleNative.BigQuery.V2.RoutineLanguage
    Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
    Project string
    RemoteFunctionOptions Pulumi.GoogleNative.BigQuery.V2.Inputs.RemoteFunctionOptions
    Optional. Remote function specific options.
    ReturnTableType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlTableType
    Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
    ReturnType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataType
    Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.
    SecurityMode Pulumi.GoogleNative.BigQuery.V2.RoutineSecurityMode
    Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
    SparkOptions Pulumi.GoogleNative.BigQuery.V2.Inputs.SparkOptions
    Optional. Spark specific options.
    StrictMode bool
    Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.
    DatasetId string
    DefinitionBody string
    The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.
    RoutineReference RoutineReferenceArgs
    Reference describing the ID of this routine.
    RoutineType RoutineRoutineType
    The type of routine.
    Arguments []ArgumentArgs
    Optional.
    DataGovernanceType RoutineDataGovernanceType
    Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.
    Description string
    Optional. The description of the routine, if defined.
    DeterminismLevel RoutineDeterminismLevel
    Optional. The determinism level of the JavaScript UDF, if defined.
    ImportedLibraries []string
    Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
    Language RoutineLanguage
    Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
    Project string
    RemoteFunctionOptions RemoteFunctionOptionsArgs
    Optional. Remote function specific options.
    ReturnTableType StandardSqlTableTypeArgs
    Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
    ReturnType StandardSqlDataTypeArgs
    Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.
    SecurityMode RoutineSecurityMode
    Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
    SparkOptions SparkOptionsArgs
    Optional. Spark specific options.
    StrictMode bool
    Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.
    datasetId String
    definitionBody String
    The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.
    routineReference RoutineReference
    Reference describing the ID of this routine.
    routineType RoutineRoutineType
    The type of routine.
    arguments List<Argument>
    Optional.
    dataGovernanceType RoutineDataGovernanceType
    Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.
    description String
    Optional. The description of the routine, if defined.
    determinismLevel RoutineDeterminismLevel
    Optional. The determinism level of the JavaScript UDF, if defined.
    importedLibraries List<String>
    Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
    language RoutineLanguage
    Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
    project String
    remoteFunctionOptions RemoteFunctionOptions
    Optional. Remote function specific options.
    returnTableType StandardSqlTableType
    Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
    returnType StandardSqlDataType
    Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.
    securityMode RoutineSecurityMode
    Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
    sparkOptions SparkOptions
    Optional. Spark specific options.
    strictMode Boolean
    Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.
    datasetId string
    definitionBody string
    The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.
    routineReference RoutineReference
    Reference describing the ID of this routine.
    routineType RoutineRoutineType
    The type of routine.
    arguments Argument[]
    Optional.
    dataGovernanceType RoutineDataGovernanceType
    Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.
    description string
    Optional. The description of the routine, if defined.
    determinismLevel RoutineDeterminismLevel
    Optional. The determinism level of the JavaScript UDF, if defined.
    importedLibraries string[]
    Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
    language RoutineLanguage
    Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
    project string
    remoteFunctionOptions RemoteFunctionOptions
    Optional. Remote function specific options.
    returnTableType StandardSqlTableType
    Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
    returnType StandardSqlDataType
    Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.
    securityMode RoutineSecurityMode
    Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
    sparkOptions SparkOptions
    Optional. Spark specific options.
    strictMode boolean
    Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.
    dataset_id str
    definition_body str
    The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.
    routine_reference RoutineReferenceArgs
    Reference describing the ID of this routine.
    routine_type RoutineRoutineType
    The type of routine.
    arguments Sequence[ArgumentArgs]
    Optional.
    data_governance_type RoutineDataGovernanceType
    Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.
    description str
    Optional. The description of the routine, if defined.
    determinism_level RoutineDeterminismLevel
    Optional. The determinism level of the JavaScript UDF, if defined.
    imported_libraries Sequence[str]
    Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
    language RoutineLanguage
    Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
    project str
    remote_function_options RemoteFunctionOptionsArgs
    Optional. Remote function specific options.
    return_table_type StandardSqlTableTypeArgs
    Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
    return_type StandardSqlDataTypeArgs
    Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.
    security_mode RoutineSecurityMode
    Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
    spark_options SparkOptionsArgs
    Optional. Spark specific options.
    strict_mode bool
    Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.
    datasetId String
    definitionBody String
    The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.
    routineReference Property Map
    Reference describing the ID of this routine.
    routineType "ROUTINE_TYPE_UNSPECIFIED" | "SCALAR_FUNCTION" | "PROCEDURE" | "TABLE_VALUED_FUNCTION" | "AGGREGATE_FUNCTION"
    The type of routine.
    arguments List<Property Map>
    Optional.
    dataGovernanceType "DATA_GOVERNANCE_TYPE_UNSPECIFIED" | "DATA_MASKING"
    Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.
    description String
    Optional. The description of the routine, if defined.
    determinismLevel "DETERMINISM_LEVEL_UNSPECIFIED" | "DETERMINISTIC" | "NOT_DETERMINISTIC"
    Optional. The determinism level of the JavaScript UDF, if defined.
    importedLibraries List<String>
    Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.
    language "LANGUAGE_UNSPECIFIED" | "SQL" | "JAVASCRIPT" | "PYTHON" | "JAVA" | "SCALA"
    Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.
    project String
    remoteFunctionOptions Property Map
    Optional. Remote function specific options.
    returnTableType Property Map
    Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.
    returnType Property Map
    Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.
    securityMode "SECURITY_MODE_UNSPECIFIED" | "DEFINER" | "INVOKER"
    Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.
    sparkOptions Property Map
    Optional. Spark specific options.
    strictMode Boolean
    Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

    Outputs

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

    CreationTime string
    The time when this routine was created, in milliseconds since the epoch.
    Etag string
    A hash of this resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    LastModifiedTime string
    The time when this routine was last modified, in milliseconds since the epoch.
    CreationTime string
    The time when this routine was created, in milliseconds since the epoch.
    Etag string
    A hash of this resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    LastModifiedTime string
    The time when this routine was last modified, in milliseconds since the epoch.
    creationTime String
    The time when this routine was created, in milliseconds since the epoch.
    etag String
    A hash of this resource.
    id String
    The provider-assigned unique ID for this managed resource.
    lastModifiedTime String
    The time when this routine was last modified, in milliseconds since the epoch.
    creationTime string
    The time when this routine was created, in milliseconds since the epoch.
    etag string
    A hash of this resource.
    id string
    The provider-assigned unique ID for this managed resource.
    lastModifiedTime string
    The time when this routine was last modified, in milliseconds since the epoch.
    creation_time str
    The time when this routine was created, in milliseconds since the epoch.
    etag str
    A hash of this resource.
    id str
    The provider-assigned unique ID for this managed resource.
    last_modified_time str
    The time when this routine was last modified, in milliseconds since the epoch.
    creationTime String
    The time when this routine was created, in milliseconds since the epoch.
    etag String
    A hash of this resource.
    id String
    The provider-assigned unique ID for this managed resource.
    lastModifiedTime String
    The time when this routine was last modified, in milliseconds since the epoch.

    Supporting Types

    Argument, ArgumentArgs

    ArgumentKind Pulumi.GoogleNative.BigQuery.V2.ArgumentArgumentKind
    Optional. Defaults to FIXED_TYPE.
    DataType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataType
    Required unless argument_kind = ANY_TYPE.
    IsAggregate bool
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    Mode Pulumi.GoogleNative.BigQuery.V2.ArgumentMode
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    Name string
    Optional. The name of this argument. Can be absent for function return argument.
    ArgumentKind ArgumentArgumentKind
    Optional. Defaults to FIXED_TYPE.
    DataType StandardSqlDataType
    Required unless argument_kind = ANY_TYPE.
    IsAggregate bool
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    Mode ArgumentMode
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    Name string
    Optional. The name of this argument. Can be absent for function return argument.
    argumentKind ArgumentArgumentKind
    Optional. Defaults to FIXED_TYPE.
    dataType StandardSqlDataType
    Required unless argument_kind = ANY_TYPE.
    isAggregate Boolean
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode ArgumentMode
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name String
    Optional. The name of this argument. Can be absent for function return argument.
    argumentKind ArgumentArgumentKind
    Optional. Defaults to FIXED_TYPE.
    dataType StandardSqlDataType
    Required unless argument_kind = ANY_TYPE.
    isAggregate boolean
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode ArgumentMode
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name string
    Optional. The name of this argument. Can be absent for function return argument.
    argument_kind ArgumentArgumentKind
    Optional. Defaults to FIXED_TYPE.
    data_type StandardSqlDataType
    Required unless argument_kind = ANY_TYPE.
    is_aggregate bool
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode ArgumentMode
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name str
    Optional. The name of this argument. Can be absent for function return argument.
    argumentKind "ARGUMENT_KIND_UNSPECIFIED" | "FIXED_TYPE" | "ANY_TYPE"
    Optional. Defaults to FIXED_TYPE.
    dataType Property Map
    Required unless argument_kind = ANY_TYPE.
    isAggregate Boolean
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode "MODE_UNSPECIFIED" | "IN" | "OUT" | "INOUT"
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name String
    Optional. The name of this argument. Can be absent for function return argument.

    ArgumentArgumentKind, ArgumentArgumentKindArgs

    ArgumentKindUnspecified
    ARGUMENT_KIND_UNSPECIFIEDDefault value.
    FixedType
    FIXED_TYPEThe argument is a variable with fully specified type, which can be a struct or an array, but not a table.
    AnyType
    ANY_TYPEThe argument is any type, including struct or array, but not a table. To be added: FIXED_TABLE, ANY_TABLE
    ArgumentArgumentKindArgumentKindUnspecified
    ARGUMENT_KIND_UNSPECIFIEDDefault value.
    ArgumentArgumentKindFixedType
    FIXED_TYPEThe argument is a variable with fully specified type, which can be a struct or an array, but not a table.
    ArgumentArgumentKindAnyType
    ANY_TYPEThe argument is any type, including struct or array, but not a table. To be added: FIXED_TABLE, ANY_TABLE
    ArgumentKindUnspecified
    ARGUMENT_KIND_UNSPECIFIEDDefault value.
    FixedType
    FIXED_TYPEThe argument is a variable with fully specified type, which can be a struct or an array, but not a table.
    AnyType
    ANY_TYPEThe argument is any type, including struct or array, but not a table. To be added: FIXED_TABLE, ANY_TABLE
    ArgumentKindUnspecified
    ARGUMENT_KIND_UNSPECIFIEDDefault value.
    FixedType
    FIXED_TYPEThe argument is a variable with fully specified type, which can be a struct or an array, but not a table.
    AnyType
    ANY_TYPEThe argument is any type, including struct or array, but not a table. To be added: FIXED_TABLE, ANY_TABLE
    ARGUMENT_KIND_UNSPECIFIED
    ARGUMENT_KIND_UNSPECIFIEDDefault value.
    FIXED_TYPE
    FIXED_TYPEThe argument is a variable with fully specified type, which can be a struct or an array, but not a table.
    ANY_TYPE
    ANY_TYPEThe argument is any type, including struct or array, but not a table. To be added: FIXED_TABLE, ANY_TABLE
    "ARGUMENT_KIND_UNSPECIFIED"
    ARGUMENT_KIND_UNSPECIFIEDDefault value.
    "FIXED_TYPE"
    FIXED_TYPEThe argument is a variable with fully specified type, which can be a struct or an array, but not a table.
    "ANY_TYPE"
    ANY_TYPEThe argument is any type, including struct or array, but not a table. To be added: FIXED_TABLE, ANY_TABLE

    ArgumentMode, ArgumentModeArgs

    ModeUnspecified
    MODE_UNSPECIFIEDDefault value.
    In
    INThe argument is input-only.
    Out
    OUTThe argument is output-only.
    Inout
    INOUTThe argument is both an input and an output.
    ArgumentModeModeUnspecified
    MODE_UNSPECIFIEDDefault value.
    ArgumentModeIn
    INThe argument is input-only.
    ArgumentModeOut
    OUTThe argument is output-only.
    ArgumentModeInout
    INOUTThe argument is both an input and an output.
    ModeUnspecified
    MODE_UNSPECIFIEDDefault value.
    In
    INThe argument is input-only.
    Out
    OUTThe argument is output-only.
    Inout
    INOUTThe argument is both an input and an output.
    ModeUnspecified
    MODE_UNSPECIFIEDDefault value.
    In
    INThe argument is input-only.
    Out
    OUTThe argument is output-only.
    Inout
    INOUTThe argument is both an input and an output.
    MODE_UNSPECIFIED
    MODE_UNSPECIFIEDDefault value.
    IN_
    INThe argument is input-only.
    OUT
    OUTThe argument is output-only.
    INOUT
    INOUTThe argument is both an input and an output.
    "MODE_UNSPECIFIED"
    MODE_UNSPECIFIEDDefault value.
    "IN"
    INThe argument is input-only.
    "OUT"
    OUTThe argument is output-only.
    "INOUT"
    INOUTThe argument is both an input and an output.

    ArgumentResponse, ArgumentResponseArgs

    ArgumentKind string
    Optional. Defaults to FIXED_TYPE.
    DataType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataTypeResponse
    Required unless argument_kind = ANY_TYPE.
    IsAggregate bool
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    Mode string
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    Name string
    Optional. The name of this argument. Can be absent for function return argument.
    ArgumentKind string
    Optional. Defaults to FIXED_TYPE.
    DataType StandardSqlDataTypeResponse
    Required unless argument_kind = ANY_TYPE.
    IsAggregate bool
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    Mode string
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    Name string
    Optional. The name of this argument. Can be absent for function return argument.
    argumentKind String
    Optional. Defaults to FIXED_TYPE.
    dataType StandardSqlDataTypeResponse
    Required unless argument_kind = ANY_TYPE.
    isAggregate Boolean
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode String
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name String
    Optional. The name of this argument. Can be absent for function return argument.
    argumentKind string
    Optional. Defaults to FIXED_TYPE.
    dataType StandardSqlDataTypeResponse
    Required unless argument_kind = ANY_TYPE.
    isAggregate boolean
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode string
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name string
    Optional. The name of this argument. Can be absent for function return argument.
    argument_kind str
    Optional. Defaults to FIXED_TYPE.
    data_type StandardSqlDataTypeResponse
    Required unless argument_kind = ANY_TYPE.
    is_aggregate bool
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode str
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name str
    Optional. The name of this argument. Can be absent for function return argument.
    argumentKind String
    Optional. Defaults to FIXED_TYPE.
    dataType Property Map
    Required unless argument_kind = ANY_TYPE.
    isAggregate Boolean
    Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.
    mode String
    Optional. Specifies whether the argument is input or output. Can be set for procedures only.
    name String
    Optional. The name of this argument. Can be absent for function return argument.

    RemoteFunctionOptions, RemoteFunctionOptionsArgs

    Connection string
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    Endpoint string
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    MaxBatchingRows string
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    UserDefinedContext Dictionary<string, string>
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    Connection string
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    Endpoint string
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    MaxBatchingRows string
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    UserDefinedContext map[string]string
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection String
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint String
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    maxBatchingRows String
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    userDefinedContext Map<String,String>
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection string
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint string
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    maxBatchingRows string
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    userDefinedContext {[key: string]: string}
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection str
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint str
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    max_batching_rows str
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    user_defined_context Mapping[str, str]
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection String
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint String
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    maxBatchingRows String
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    userDefinedContext Map<String>
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

    RemoteFunctionOptionsResponse, RemoteFunctionOptionsResponseArgs

    Connection string
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    Endpoint string
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    MaxBatchingRows string
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    UserDefinedContext Dictionary<string, string>
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    Connection string
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    Endpoint string
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    MaxBatchingRows string
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    UserDefinedContext map[string]string
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection String
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint String
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    maxBatchingRows String
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    userDefinedContext Map<String,String>
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection string
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint string
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    maxBatchingRows string
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    userDefinedContext {[key: string]: string}
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection str
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint str
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    max_batching_rows str
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    user_defined_context Mapping[str, str]
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.
    connection String
    Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"
    endpoint String
    Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add
    maxBatchingRows String
    Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.
    userDefinedContext Map<String>
    User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

    RoutineDataGovernanceType, RoutineDataGovernanceTypeArgs

    DataGovernanceTypeUnspecified
    DATA_GOVERNANCE_TYPE_UNSPECIFIEDThe data governance type is unspecified.
    DataMasking
    DATA_MASKINGThe data governance type is data masking.
    RoutineDataGovernanceTypeDataGovernanceTypeUnspecified
    DATA_GOVERNANCE_TYPE_UNSPECIFIEDThe data governance type is unspecified.
    RoutineDataGovernanceTypeDataMasking
    DATA_MASKINGThe data governance type is data masking.
    DataGovernanceTypeUnspecified
    DATA_GOVERNANCE_TYPE_UNSPECIFIEDThe data governance type is unspecified.
    DataMasking
    DATA_MASKINGThe data governance type is data masking.
    DataGovernanceTypeUnspecified
    DATA_GOVERNANCE_TYPE_UNSPECIFIEDThe data governance type is unspecified.
    DataMasking
    DATA_MASKINGThe data governance type is data masking.
    DATA_GOVERNANCE_TYPE_UNSPECIFIED
    DATA_GOVERNANCE_TYPE_UNSPECIFIEDThe data governance type is unspecified.
    DATA_MASKING
    DATA_MASKINGThe data governance type is data masking.
    "DATA_GOVERNANCE_TYPE_UNSPECIFIED"
    DATA_GOVERNANCE_TYPE_UNSPECIFIEDThe data governance type is unspecified.
    "DATA_MASKING"
    DATA_MASKINGThe data governance type is data masking.

    RoutineDeterminismLevel, RoutineDeterminismLevelArgs

    DeterminismLevelUnspecified
    DETERMINISM_LEVEL_UNSPECIFIEDThe determinism of the UDF is unspecified.
    Deterministic
    DETERMINISTICThe UDF is deterministic, meaning that 2 function calls with the same inputs always produce the same result, even across 2 query runs.
    NotDeterministic
    NOT_DETERMINISTICThe UDF is not deterministic.
    RoutineDeterminismLevelDeterminismLevelUnspecified
    DETERMINISM_LEVEL_UNSPECIFIEDThe determinism of the UDF is unspecified.
    RoutineDeterminismLevelDeterministic
    DETERMINISTICThe UDF is deterministic, meaning that 2 function calls with the same inputs always produce the same result, even across 2 query runs.
    RoutineDeterminismLevelNotDeterministic
    NOT_DETERMINISTICThe UDF is not deterministic.
    DeterminismLevelUnspecified
    DETERMINISM_LEVEL_UNSPECIFIEDThe determinism of the UDF is unspecified.
    Deterministic
    DETERMINISTICThe UDF is deterministic, meaning that 2 function calls with the same inputs always produce the same result, even across 2 query runs.
    NotDeterministic
    NOT_DETERMINISTICThe UDF is not deterministic.
    DeterminismLevelUnspecified
    DETERMINISM_LEVEL_UNSPECIFIEDThe determinism of the UDF is unspecified.
    Deterministic
    DETERMINISTICThe UDF is deterministic, meaning that 2 function calls with the same inputs always produce the same result, even across 2 query runs.
    NotDeterministic
    NOT_DETERMINISTICThe UDF is not deterministic.
    DETERMINISM_LEVEL_UNSPECIFIED
    DETERMINISM_LEVEL_UNSPECIFIEDThe determinism of the UDF is unspecified.
    DETERMINISTIC
    DETERMINISTICThe UDF is deterministic, meaning that 2 function calls with the same inputs always produce the same result, even across 2 query runs.
    NOT_DETERMINISTIC
    NOT_DETERMINISTICThe UDF is not deterministic.
    "DETERMINISM_LEVEL_UNSPECIFIED"
    DETERMINISM_LEVEL_UNSPECIFIEDThe determinism of the UDF is unspecified.
    "DETERMINISTIC"
    DETERMINISTICThe UDF is deterministic, meaning that 2 function calls with the same inputs always produce the same result, even across 2 query runs.
    "NOT_DETERMINISTIC"
    NOT_DETERMINISTICThe UDF is not deterministic.

    RoutineLanguage, RoutineLanguageArgs

    LanguageUnspecified
    LANGUAGE_UNSPECIFIEDDefault value.
    Sql
    SQLSQL language.
    Javascript
    JAVASCRIPTJavaScript language.
    Python
    PYTHONPython language.
    Java
    JAVAJava language.
    Scala
    SCALAScala language.
    RoutineLanguageLanguageUnspecified
    LANGUAGE_UNSPECIFIEDDefault value.
    RoutineLanguageSql
    SQLSQL language.
    RoutineLanguageJavascript
    JAVASCRIPTJavaScript language.
    RoutineLanguagePython
    PYTHONPython language.
    RoutineLanguageJava
    JAVAJava language.
    RoutineLanguageScala
    SCALAScala language.
    LanguageUnspecified
    LANGUAGE_UNSPECIFIEDDefault value.
    Sql
    SQLSQL language.
    Javascript
    JAVASCRIPTJavaScript language.
    Python
    PYTHONPython language.
    Java
    JAVAJava language.
    Scala
    SCALAScala language.
    LanguageUnspecified
    LANGUAGE_UNSPECIFIEDDefault value.
    Sql
    SQLSQL language.
    Javascript
    JAVASCRIPTJavaScript language.
    Python
    PYTHONPython language.
    Java
    JAVAJava language.
    Scala
    SCALAScala language.
    LANGUAGE_UNSPECIFIED
    LANGUAGE_UNSPECIFIEDDefault value.
    SQL
    SQLSQL language.
    JAVASCRIPT
    JAVASCRIPTJavaScript language.
    PYTHON
    PYTHONPython language.
    JAVA
    JAVAJava language.
    SCALA
    SCALAScala language.
    "LANGUAGE_UNSPECIFIED"
    LANGUAGE_UNSPECIFIEDDefault value.
    "SQL"
    SQLSQL language.
    "JAVASCRIPT"
    JAVASCRIPTJavaScript language.
    "PYTHON"
    PYTHONPython language.
    "JAVA"
    JAVAJava language.
    "SCALA"
    SCALAScala language.

    RoutineReference, RoutineReferenceArgs

    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.

    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.

    RoutineRoutineType, RoutineRoutineTypeArgs

    RoutineTypeUnspecified
    ROUTINE_TYPE_UNSPECIFIEDDefault value.
    ScalarFunction
    SCALAR_FUNCTIONNon-built-in persistent scalar function.
    Procedure
    PROCEDUREStored procedure.
    TableValuedFunction
    TABLE_VALUED_FUNCTIONNon-built-in persistent TVF.
    AggregateFunction
    AGGREGATE_FUNCTIONNon-built-in persistent aggregate function.
    RoutineRoutineTypeRoutineTypeUnspecified
    ROUTINE_TYPE_UNSPECIFIEDDefault value.
    RoutineRoutineTypeScalarFunction
    SCALAR_FUNCTIONNon-built-in persistent scalar function.
    RoutineRoutineTypeProcedure
    PROCEDUREStored procedure.
    RoutineRoutineTypeTableValuedFunction
    TABLE_VALUED_FUNCTIONNon-built-in persistent TVF.
    RoutineRoutineTypeAggregateFunction
    AGGREGATE_FUNCTIONNon-built-in persistent aggregate function.
    RoutineTypeUnspecified
    ROUTINE_TYPE_UNSPECIFIEDDefault value.
    ScalarFunction
    SCALAR_FUNCTIONNon-built-in persistent scalar function.
    Procedure
    PROCEDUREStored procedure.
    TableValuedFunction
    TABLE_VALUED_FUNCTIONNon-built-in persistent TVF.
    AggregateFunction
    AGGREGATE_FUNCTIONNon-built-in persistent aggregate function.
    RoutineTypeUnspecified
    ROUTINE_TYPE_UNSPECIFIEDDefault value.
    ScalarFunction
    SCALAR_FUNCTIONNon-built-in persistent scalar function.
    Procedure
    PROCEDUREStored procedure.
    TableValuedFunction
    TABLE_VALUED_FUNCTIONNon-built-in persistent TVF.
    AggregateFunction
    AGGREGATE_FUNCTIONNon-built-in persistent aggregate function.
    ROUTINE_TYPE_UNSPECIFIED
    ROUTINE_TYPE_UNSPECIFIEDDefault value.
    SCALAR_FUNCTION
    SCALAR_FUNCTIONNon-built-in persistent scalar function.
    PROCEDURE
    PROCEDUREStored procedure.
    TABLE_VALUED_FUNCTION
    TABLE_VALUED_FUNCTIONNon-built-in persistent TVF.
    AGGREGATE_FUNCTION
    AGGREGATE_FUNCTIONNon-built-in persistent aggregate function.
    "ROUTINE_TYPE_UNSPECIFIED"
    ROUTINE_TYPE_UNSPECIFIEDDefault value.
    "SCALAR_FUNCTION"
    SCALAR_FUNCTIONNon-built-in persistent scalar function.
    "PROCEDURE"
    PROCEDUREStored procedure.
    "TABLE_VALUED_FUNCTION"
    TABLE_VALUED_FUNCTIONNon-built-in persistent TVF.
    "AGGREGATE_FUNCTION"
    AGGREGATE_FUNCTIONNon-built-in persistent aggregate function.

    RoutineSecurityMode, RoutineSecurityModeArgs

    SecurityModeUnspecified
    SECURITY_MODE_UNSPECIFIEDThe security mode of the routine is unspecified.
    Definer
    DEFINERThe routine is to be executed with the privileges of the user who defines it.
    Invoker
    INVOKERThe routine is to be executed with the privileges of the user who invokes it.
    RoutineSecurityModeSecurityModeUnspecified
    SECURITY_MODE_UNSPECIFIEDThe security mode of the routine is unspecified.
    RoutineSecurityModeDefiner
    DEFINERThe routine is to be executed with the privileges of the user who defines it.
    RoutineSecurityModeInvoker
    INVOKERThe routine is to be executed with the privileges of the user who invokes it.
    SecurityModeUnspecified
    SECURITY_MODE_UNSPECIFIEDThe security mode of the routine is unspecified.
    Definer
    DEFINERThe routine is to be executed with the privileges of the user who defines it.
    Invoker
    INVOKERThe routine is to be executed with the privileges of the user who invokes it.
    SecurityModeUnspecified
    SECURITY_MODE_UNSPECIFIEDThe security mode of the routine is unspecified.
    Definer
    DEFINERThe routine is to be executed with the privileges of the user who defines it.
    Invoker
    INVOKERThe routine is to be executed with the privileges of the user who invokes it.
    SECURITY_MODE_UNSPECIFIED
    SECURITY_MODE_UNSPECIFIEDThe security mode of the routine is unspecified.
    DEFINER
    DEFINERThe routine is to be executed with the privileges of the user who defines it.
    INVOKER
    INVOKERThe routine is to be executed with the privileges of the user who invokes it.
    "SECURITY_MODE_UNSPECIFIED"
    SECURITY_MODE_UNSPECIFIEDThe security mode of the routine is unspecified.
    "DEFINER"
    DEFINERThe routine is to be executed with the privileges of the user who defines it.
    "INVOKER"
    INVOKERThe routine is to be executed with the privileges of the user who invokes it.

    SparkOptions, SparkOptionsArgs

    ArchiveUris List<string>
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    Connection string
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    ContainerImage string
    Custom container image for the runtime environment.
    FileUris List<string>
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    JarUris List<string>
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    MainClass string
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    MainFileUri string
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    Properties Dictionary<string, string>
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    PyFileUris List<string>
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    RuntimeVersion string
    Runtime version. If not specified, the default runtime version is used.
    ArchiveUris []string
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    Connection string
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    ContainerImage string
    Custom container image for the runtime environment.
    FileUris []string
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    JarUris []string
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    MainClass string
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    MainFileUri string
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    Properties map[string]string
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    PyFileUris []string
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    RuntimeVersion string
    Runtime version. If not specified, the default runtime version is used.
    archiveUris List<String>
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection String
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    containerImage String
    Custom container image for the runtime environment.
    fileUris List<String>
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jarUris List<String>
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    mainClass String
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    mainFileUri String
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties Map<String,String>
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    pyFileUris List<String>
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtimeVersion String
    Runtime version. If not specified, the default runtime version is used.
    archiveUris string[]
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection string
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    containerImage string
    Custom container image for the runtime environment.
    fileUris string[]
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jarUris string[]
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    mainClass string
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    mainFileUri string
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties {[key: string]: string}
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    pyFileUris string[]
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtimeVersion string
    Runtime version. If not specified, the default runtime version is used.
    archive_uris Sequence[str]
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection str
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    container_image str
    Custom container image for the runtime environment.
    file_uris Sequence[str]
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jar_uris Sequence[str]
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    main_class str
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    main_file_uri str
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties Mapping[str, str]
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    py_file_uris Sequence[str]
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtime_version str
    Runtime version. If not specified, the default runtime version is used.
    archiveUris List<String>
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection String
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    containerImage String
    Custom container image for the runtime environment.
    fileUris List<String>
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jarUris List<String>
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    mainClass String
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    mainFileUri String
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties Map<String>
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    pyFileUris List<String>
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtimeVersion String
    Runtime version. If not specified, the default runtime version is used.

    SparkOptionsResponse, SparkOptionsResponseArgs

    ArchiveUris List<string>
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    Connection string
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    ContainerImage string
    Custom container image for the runtime environment.
    FileUris List<string>
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    JarUris List<string>
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    MainClass string
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    MainFileUri string
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    Properties Dictionary<string, string>
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    PyFileUris List<string>
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    RuntimeVersion string
    Runtime version. If not specified, the default runtime version is used.
    ArchiveUris []string
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    Connection string
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    ContainerImage string
    Custom container image for the runtime environment.
    FileUris []string
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    JarUris []string
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    MainClass string
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    MainFileUri string
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    Properties map[string]string
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    PyFileUris []string
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    RuntimeVersion string
    Runtime version. If not specified, the default runtime version is used.
    archiveUris List<String>
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection String
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    containerImage String
    Custom container image for the runtime environment.
    fileUris List<String>
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jarUris List<String>
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    mainClass String
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    mainFileUri String
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties Map<String,String>
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    pyFileUris List<String>
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtimeVersion String
    Runtime version. If not specified, the default runtime version is used.
    archiveUris string[]
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection string
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    containerImage string
    Custom container image for the runtime environment.
    fileUris string[]
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jarUris string[]
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    mainClass string
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    mainFileUri string
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties {[key: string]: string}
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    pyFileUris string[]
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtimeVersion string
    Runtime version. If not specified, the default runtime version is used.
    archive_uris Sequence[str]
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection str
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    container_image str
    Custom container image for the runtime environment.
    file_uris Sequence[str]
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jar_uris Sequence[str]
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    main_class str
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    main_file_uri str
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties Mapping[str, str]
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    py_file_uris Sequence[str]
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtime_version str
    Runtime version. If not specified, the default runtime version is used.
    archiveUris List<String>
    Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    connection String
    Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"
    containerImage String
    Custom container image for the runtime environment.
    fileUris List<String>
    Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.
    jarUris List<String>
    JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.
    mainClass String
    The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.
    mainFileUri String
    The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.
    properties Map<String>
    Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.
    pyFileUris List<String>
    Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.
    runtimeVersion String
    Runtime version. If not specified, the default runtime version is used.

    StandardSqlDataType, StandardSqlDataTypeArgs

    TypeKind Pulumi.GoogleNative.BigQuery.V2.StandardSqlDataTypeTypeKind
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    ArrayElementType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataType
    The type of the array's elements, if type_kind = "ARRAY".
    RangeElementType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataType
    The type of the range's elements, if type_kind = "RANGE".
    StructType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlStructType
    The fields of this struct, in order, if type_kind = "STRUCT".
    TypeKind StandardSqlDataTypeTypeKind
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    ArrayElementType StandardSqlDataType
    The type of the array's elements, if type_kind = "ARRAY".
    RangeElementType StandardSqlDataType
    The type of the range's elements, if type_kind = "RANGE".
    StructType StandardSqlStructType
    The fields of this struct, in order, if type_kind = "STRUCT".
    typeKind StandardSqlDataTypeTypeKind
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    arrayElementType StandardSqlDataType
    The type of the array's elements, if type_kind = "ARRAY".
    rangeElementType StandardSqlDataType
    The type of the range's elements, if type_kind = "RANGE".
    structType StandardSqlStructType
    The fields of this struct, in order, if type_kind = "STRUCT".
    typeKind StandardSqlDataTypeTypeKind
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    arrayElementType StandardSqlDataType
    The type of the array's elements, if type_kind = "ARRAY".
    rangeElementType StandardSqlDataType
    The type of the range's elements, if type_kind = "RANGE".
    structType StandardSqlStructType
    The fields of this struct, in order, if type_kind = "STRUCT".
    type_kind StandardSqlDataTypeTypeKind
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    array_element_type StandardSqlDataType
    The type of the array's elements, if type_kind = "ARRAY".
    range_element_type StandardSqlDataType
    The type of the range's elements, if type_kind = "RANGE".
    struct_type StandardSqlStructType
    The fields of this struct, in order, if type_kind = "STRUCT".
    typeKind "TYPE_KIND_UNSPECIFIED" | "INT64" | "BOOL" | "FLOAT64" | "STRING" | "BYTES" | "TIMESTAMP" | "DATE" | "TIME" | "DATETIME" | "INTERVAL" | "GEOGRAPHY" | "NUMERIC" | "BIGNUMERIC" | "JSON" | "ARRAY" | "STRUCT" | "RANGE"
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    arrayElementType Property Map
    The type of the array's elements, if type_kind = "ARRAY".
    rangeElementType Property Map
    The type of the range's elements, if type_kind = "RANGE".
    structType Property Map
    The fields of this struct, in order, if type_kind = "STRUCT".

    StandardSqlDataTypeResponse, StandardSqlDataTypeResponseArgs

    StructType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlStructTypeResponse
    The fields of this struct, in order, if type_kind = "STRUCT".
    TypeKind string
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    ArrayElementType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataTypeResponse
    The type of the array's elements, if type_kind = "ARRAY".
    RangeElementType Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataTypeResponse
    The type of the range's elements, if type_kind = "RANGE".
    StructType StandardSqlStructTypeResponse
    The fields of this struct, in order, if type_kind = "STRUCT".
    TypeKind string
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    ArrayElementType StandardSqlDataTypeResponse
    The type of the array's elements, if type_kind = "ARRAY".
    RangeElementType StandardSqlDataTypeResponse
    The type of the range's elements, if type_kind = "RANGE".
    structType StandardSqlStructTypeResponse
    The fields of this struct, in order, if type_kind = "STRUCT".
    typeKind String
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    arrayElementType StandardSqlDataTypeResponse
    The type of the array's elements, if type_kind = "ARRAY".
    rangeElementType StandardSqlDataTypeResponse
    The type of the range's elements, if type_kind = "RANGE".
    structType StandardSqlStructTypeResponse
    The fields of this struct, in order, if type_kind = "STRUCT".
    typeKind string
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    arrayElementType StandardSqlDataTypeResponse
    The type of the array's elements, if type_kind = "ARRAY".
    rangeElementType StandardSqlDataTypeResponse
    The type of the range's elements, if type_kind = "RANGE".
    struct_type StandardSqlStructTypeResponse
    The fields of this struct, in order, if type_kind = "STRUCT".
    type_kind str
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    array_element_type StandardSqlDataTypeResponse
    The type of the array's elements, if type_kind = "ARRAY".
    range_element_type StandardSqlDataTypeResponse
    The type of the range's elements, if type_kind = "RANGE".
    structType Property Map
    The fields of this struct, in order, if type_kind = "STRUCT".
    typeKind String
    The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").
    arrayElementType Property Map
    The type of the array's elements, if type_kind = "ARRAY".
    rangeElementType Property Map
    The type of the range's elements, if type_kind = "RANGE".

    StandardSqlDataTypeTypeKind, StandardSqlDataTypeTypeKindArgs

    TypeKindUnspecified
    TYPE_KIND_UNSPECIFIEDInvalid type.
    Int64
    INT64Encoded as a string in decimal format.
    Bool
    BOOLEncoded as a boolean "false" or "true".
    Float64
    FLOAT64Encoded as a number, or string "NaN", "Infinity" or "-Infinity".
    String
    STRINGEncoded as a string value.
    Bytes
    BYTESEncoded as a base64 string per RFC 4648, section 4.
    Timestamp
    TIMESTAMPEncoded as an RFC 3339 timestamp with mandatory "Z" time zone string: 1985-04-12T23:20:50.52Z
    Date
    DATEEncoded as RFC 3339 full-date format string: 1985-04-12
    Time
    TIMEEncoded as RFC 3339 partial-time format string: 23:20:50.52
    Datetime
    DATETIMEEncoded as RFC 3339 full-date "T" partial-time: 1985-04-12T23:20:50.52
    Interval
    INTERVALEncoded as fully qualified 3 part: 0-5 15 2:30:45.6
    Geography
    GEOGRAPHYEncoded as WKT
    Numeric
    NUMERICEncoded as a decimal string.
    Bignumeric
    BIGNUMERICEncoded as a decimal string.
    Json
    JSONEncoded as a string.
    Array
    ARRAYEncoded as a list with types matching Type.array_type.
    Struct
    STRUCTEncoded as a list with fields of type Type.struct_type[i]. List is used because a JSON object cannot have duplicate field names.
    Range
    RANGEEncoded as a pair with types matching range_element_type. Pairs must begin with "[", end with ")", and be separated by ", ".
    StandardSqlDataTypeTypeKindTypeKindUnspecified
    TYPE_KIND_UNSPECIFIEDInvalid type.
    StandardSqlDataTypeTypeKindInt64
    INT64Encoded as a string in decimal format.
    StandardSqlDataTypeTypeKindBool
    BOOLEncoded as a boolean "false" or "true".
    StandardSqlDataTypeTypeKindFloat64
    FLOAT64Encoded as a number, or string "NaN", "Infinity" or "-Infinity".
    StandardSqlDataTypeTypeKindString
    STRINGEncoded as a string value.
    StandardSqlDataTypeTypeKindBytes
    BYTESEncoded as a base64 string per RFC 4648, section 4.
    StandardSqlDataTypeTypeKindTimestamp
    TIMESTAMPEncoded as an RFC 3339 timestamp with mandatory "Z" time zone string: 1985-04-12T23:20:50.52Z
    StandardSqlDataTypeTypeKindDate
    DATEEncoded as RFC 3339 full-date format string: 1985-04-12
    StandardSqlDataTypeTypeKindTime
    TIMEEncoded as RFC 3339 partial-time format string: 23:20:50.52
    StandardSqlDataTypeTypeKindDatetime
    DATETIMEEncoded as RFC 3339 full-date "T" partial-time: 1985-04-12T23:20:50.52
    StandardSqlDataTypeTypeKindInterval
    INTERVALEncoded as fully qualified 3 part: 0-5 15 2:30:45.6
    StandardSqlDataTypeTypeKindGeography
    GEOGRAPHYEncoded as WKT
    StandardSqlDataTypeTypeKindNumeric
    NUMERICEncoded as a decimal string.
    StandardSqlDataTypeTypeKindBignumeric
    BIGNUMERICEncoded as a decimal string.
    StandardSqlDataTypeTypeKindJson
    JSONEncoded as a string.
    StandardSqlDataTypeTypeKindArray
    ARRAYEncoded as a list with types matching Type.array_type.
    StandardSqlDataTypeTypeKindStruct
    STRUCTEncoded as a list with fields of type Type.struct_type[i]. List is used because a JSON object cannot have duplicate field names.
    StandardSqlDataTypeTypeKindRange
    RANGEEncoded as a pair with types matching range_element_type. Pairs must begin with "[", end with ")", and be separated by ", ".
    TypeKindUnspecified
    TYPE_KIND_UNSPECIFIEDInvalid type.
    Int64
    INT64Encoded as a string in decimal format.
    Bool
    BOOLEncoded as a boolean "false" or "true".
    Float64
    FLOAT64Encoded as a number, or string "NaN", "Infinity" or "-Infinity".
    String
    STRINGEncoded as a string value.
    Bytes
    BYTESEncoded as a base64 string per RFC 4648, section 4.
    Timestamp
    TIMESTAMPEncoded as an RFC 3339 timestamp with mandatory "Z" time zone string: 1985-04-12T23:20:50.52Z
    Date
    DATEEncoded as RFC 3339 full-date format string: 1985-04-12
    Time
    TIMEEncoded as RFC 3339 partial-time format string: 23:20:50.52
    Datetime
    DATETIMEEncoded as RFC 3339 full-date "T" partial-time: 1985-04-12T23:20:50.52
    Interval
    INTERVALEncoded as fully qualified 3 part: 0-5 15 2:30:45.6
    Geography
    GEOGRAPHYEncoded as WKT
    Numeric
    NUMERICEncoded as a decimal string.
    Bignumeric
    BIGNUMERICEncoded as a decimal string.
    Json
    JSONEncoded as a string.
    Array
    ARRAYEncoded as a list with types matching Type.array_type.
    Struct
    STRUCTEncoded as a list with fields of type Type.struct_type[i]. List is used because a JSON object cannot have duplicate field names.
    Range
    RANGEEncoded as a pair with types matching range_element_type. Pairs must begin with "[", end with ")", and be separated by ", ".
    TypeKindUnspecified
    TYPE_KIND_UNSPECIFIEDInvalid type.
    Int64
    INT64Encoded as a string in decimal format.
    Bool
    BOOLEncoded as a boolean "false" or "true".
    Float64
    FLOAT64Encoded as a number, or string "NaN", "Infinity" or "-Infinity".
    String
    STRINGEncoded as a string value.
    Bytes
    BYTESEncoded as a base64 string per RFC 4648, section 4.
    Timestamp
    TIMESTAMPEncoded as an RFC 3339 timestamp with mandatory "Z" time zone string: 1985-04-12T23:20:50.52Z
    Date
    DATEEncoded as RFC 3339 full-date format string: 1985-04-12
    Time
    TIMEEncoded as RFC 3339 partial-time format string: 23:20:50.52
    Datetime
    DATETIMEEncoded as RFC 3339 full-date "T" partial-time: 1985-04-12T23:20:50.52
    Interval
    INTERVALEncoded as fully qualified 3 part: 0-5 15 2:30:45.6
    Geography
    GEOGRAPHYEncoded as WKT
    Numeric
    NUMERICEncoded as a decimal string.
    Bignumeric
    BIGNUMERICEncoded as a decimal string.
    Json
    JSONEncoded as a string.
    Array
    ARRAYEncoded as a list with types matching Type.array_type.
    Struct
    STRUCTEncoded as a list with fields of type Type.struct_type[i]. List is used because a JSON object cannot have duplicate field names.
    Range
    RANGEEncoded as a pair with types matching range_element_type. Pairs must begin with "[", end with ")", and be separated by ", ".
    TYPE_KIND_UNSPECIFIED
    TYPE_KIND_UNSPECIFIEDInvalid type.
    INT64
    INT64Encoded as a string in decimal format.
    BOOL
    BOOLEncoded as a boolean "false" or "true".
    FLOAT64
    FLOAT64Encoded as a number, or string "NaN", "Infinity" or "-Infinity".
    STRING
    STRINGEncoded as a string value.
    BYTES
    BYTESEncoded as a base64 string per RFC 4648, section 4.
    TIMESTAMP
    TIMESTAMPEncoded as an RFC 3339 timestamp with mandatory "Z" time zone string: 1985-04-12T23:20:50.52Z
    DATE
    DATEEncoded as RFC 3339 full-date format string: 1985-04-12
    TIME
    TIMEEncoded as RFC 3339 partial-time format string: 23:20:50.52
    DATETIME
    DATETIMEEncoded as RFC 3339 full-date "T" partial-time: 1985-04-12T23:20:50.52
    INTERVAL
    INTERVALEncoded as fully qualified 3 part: 0-5 15 2:30:45.6
    GEOGRAPHY
    GEOGRAPHYEncoded as WKT
    NUMERIC
    NUMERICEncoded as a decimal string.
    BIGNUMERIC
    BIGNUMERICEncoded as a decimal string.
    JSON
    JSONEncoded as a string.
    ARRAY
    ARRAYEncoded as a list with types matching Type.array_type.
    STRUCT
    STRUCTEncoded as a list with fields of type Type.struct_type[i]. List is used because a JSON object cannot have duplicate field names.
    RANGE
    RANGEEncoded as a pair with types matching range_element_type. Pairs must begin with "[", end with ")", and be separated by ", ".
    "TYPE_KIND_UNSPECIFIED"
    TYPE_KIND_UNSPECIFIEDInvalid type.
    "INT64"
    INT64Encoded as a string in decimal format.
    "BOOL"
    BOOLEncoded as a boolean "false" or "true".
    "FLOAT64"
    FLOAT64Encoded as a number, or string "NaN", "Infinity" or "-Infinity".
    "STRING"
    STRINGEncoded as a string value.
    "BYTES"
    BYTESEncoded as a base64 string per RFC 4648, section 4.
    "TIMESTAMP"
    TIMESTAMPEncoded as an RFC 3339 timestamp with mandatory "Z" time zone string: 1985-04-12T23:20:50.52Z
    "DATE"
    DATEEncoded as RFC 3339 full-date format string: 1985-04-12
    "TIME"
    TIMEEncoded as RFC 3339 partial-time format string: 23:20:50.52
    "DATETIME"
    DATETIMEEncoded as RFC 3339 full-date "T" partial-time: 1985-04-12T23:20:50.52
    "INTERVAL"
    INTERVALEncoded as fully qualified 3 part: 0-5 15 2:30:45.6
    "GEOGRAPHY"
    GEOGRAPHYEncoded as WKT
    "NUMERIC"
    NUMERICEncoded as a decimal string.
    "BIGNUMERIC"
    BIGNUMERICEncoded as a decimal string.
    "JSON"
    JSONEncoded as a string.
    "ARRAY"
    ARRAYEncoded as a list with types matching Type.array_type.
    "STRUCT"
    STRUCTEncoded as a list with fields of type Type.struct_type[i]. List is used because a JSON object cannot have duplicate field names.
    "RANGE"
    RANGEEncoded as a pair with types matching range_element_type. Pairs must begin with "[", end with ")", and be separated by ", ".

    StandardSqlField, StandardSqlFieldArgs

    Name string
    Optional. The name of this field. Can be absent for struct fields.
    Type Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataType
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    Name string
    Optional. The name of this field. Can be absent for struct fields.
    Type StandardSqlDataType
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name String
    Optional. The name of this field. Can be absent for struct fields.
    type StandardSqlDataType
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name string
    Optional. The name of this field. Can be absent for struct fields.
    type StandardSqlDataType
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name str
    Optional. The name of this field. Can be absent for struct fields.
    type StandardSqlDataType
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name String
    Optional. The name of this field. Can be absent for struct fields.
    type Property Map
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

    StandardSqlFieldResponse, StandardSqlFieldResponseArgs

    Name string
    Optional. The name of this field. Can be absent for struct fields.
    Type Pulumi.GoogleNative.BigQuery.V2.Inputs.StandardSqlDataTypeResponse
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    Name string
    Optional. The name of this field. Can be absent for struct fields.
    Type StandardSqlDataTypeResponse
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name String
    Optional. The name of this field. Can be absent for struct fields.
    type StandardSqlDataTypeResponse
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name string
    Optional. The name of this field. Can be absent for struct fields.
    type StandardSqlDataTypeResponse
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name str
    Optional. The name of this field. Can be absent for struct fields.
    type StandardSqlDataTypeResponse
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).
    name String
    Optional. The name of this field. Can be absent for struct fields.
    type Property Map
    Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

    StandardSqlStructType, StandardSqlStructTypeArgs

    Fields []StandardSqlField
    Fields within the struct.
    fields List<StandardSqlField>
    Fields within the struct.
    fields StandardSqlField[]
    Fields within the struct.
    fields Sequence[StandardSqlField]
    Fields within the struct.
    fields List<Property Map>
    Fields within the struct.

    StandardSqlStructTypeResponse, StandardSqlStructTypeResponseArgs

    Fields []StandardSqlFieldResponse
    Fields within the struct.
    fields List<StandardSqlFieldResponse>
    Fields within the struct.
    fields StandardSqlFieldResponse[]
    Fields within the struct.
    fields List<Property Map>
    Fields within the struct.

    StandardSqlTableType, StandardSqlTableTypeArgs

    Columns []StandardSqlField
    The columns in this table type
    columns List<StandardSqlField>
    The columns in this table type
    columns StandardSqlField[]
    The columns in this table type
    columns Sequence[StandardSqlField]
    The columns in this table type
    columns List<Property Map>
    The columns in this table type

    StandardSqlTableTypeResponse, StandardSqlTableTypeResponseArgs

    Columns []StandardSqlFieldResponse
    The columns in this table type
    columns List<StandardSqlFieldResponse>
    The columns in this table type
    columns StandardSqlFieldResponse[]
    The columns in this table type
    columns Sequence[StandardSqlFieldResponse]
    The columns in this table type
    columns List<Property Map>
    The columns in this table type

    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