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routine.go
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routine.go
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// Code generated by the Pulumi Terraform Bridge (tfgen) Tool DO NOT EDIT.
// *** WARNING: Do not edit by hand unless you're certain you know what you are doing! ***
package bigquery
import (
"context"
"reflect"
"errors"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/internal"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
// A user-defined function or a stored procedure that belongs to a Dataset
//
// To get more information about Routine, see:
//
// * [API documentation](https://cloud.google.com/bigquery/docs/reference/rest/v2/routines)
// * How-to Guides
// - [Routines Intro](https://cloud.google.com/bigquery/docs/reference/rest/v2/routines)
//
// ## Example Usage
//
// ### Bigquery Routine Basic
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "sproc", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("PROCEDURE"),
// Language: pulumi.String("SQL"),
// DefinitionBody: pulumi.String("CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);"),
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Json
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "sproc", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("SCALAR_FUNCTION"),
// Language: pulumi.String("JAVASCRIPT"),
// DefinitionBody: pulumi.String("CREATE FUNCTION multiplyInputs return x*y;"),
// Arguments: bigquery.RoutineArgumentArray{
// &bigquery.RoutineArgumentArgs{
// Name: pulumi.String("x"),
// DataType: pulumi.String("{\"typeKind\" : \"FLOAT64\"}"),
// },
// &bigquery.RoutineArgumentArgs{
// Name: pulumi.String("y"),
// DataType: pulumi.String("{\"typeKind\" : \"FLOAT64\"}"),
// },
// },
// ReturnType: pulumi.String("{\"typeKind\" : \"FLOAT64\"}"),
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Tvf
//
// ```go
// package main
//
// import (
//
// "encoding/json"
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// tmpJSON0, err := json.Marshal(map[string]interface{}{
// "typeKind": "INT64",
// })
// if err != nil {
// return err
// }
// json0 := string(tmpJSON0)
// tmpJSON1, err := json.Marshal(map[string]interface{}{
// "columns": []map[string]interface{}{
// map[string]interface{}{
// "name": "value",
// "type": map[string]interface{}{
// "typeKind": "INT64",
// },
// },
// },
// })
// if err != nil {
// return err
// }
// json1 := string(tmpJSON1)
// _, err = bigquery.NewRoutine(ctx, "sproc", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("TABLE_VALUED_FUNCTION"),
// Language: pulumi.String("SQL"),
// DefinitionBody: pulumi.String("SELECT 1 + value AS value\n"),
// Arguments: bigquery.RoutineArgumentArray{
// &bigquery.RoutineArgumentArgs{
// Name: pulumi.String("value"),
// ArgumentKind: pulumi.String("FIXED_TYPE"),
// DataType: pulumi.String(json0),
// },
// },
// ReturnTableType: pulumi.String(json1),
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Pyspark
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// testConnection, err := bigquery.NewConnection(ctx, "test", &bigquery.ConnectionArgs{
// ConnectionId: pulumi.String("connection_id"),
// Location: pulumi.String("US"),
// Spark: nil,
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "pyspark", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("PROCEDURE"),
// Language: pulumi.String("PYTHON"),
// DefinitionBody: pulumi.String(`from pyspark.sql import SparkSession
//
// spark = SparkSession.builder.appName("spark-bigquery-demo").getOrCreate()
//
// # Load data from BigQuery.
//
// words = spark.read.format("bigquery") \
// .option("table", "bigquery-public-data:samples.shakespeare") \
// .load()
//
// words.createOrReplaceTempView("words")
//
// # Perform word count.
// word_count = words.select('word', 'word_count').groupBy('word').sum('word_count').withColumnRenamed("sum(word_count)", "sum_word_count")
// word_count.show()
// word_count.printSchema()
//
// # Saving the data to BigQuery
//
// word_count.write.format("bigquery") \
// .option("writeMethod", "direct") \
// .save("wordcount_dataset.wordcount_output")
//
// `),
//
// SparkOptions: &bigquery.RoutineSparkOptionsArgs{
// Connection: testConnection.Name,
// RuntimeVersion: pulumi.String("2.1"),
// },
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Pyspark Mainfile
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// testConnection, err := bigquery.NewConnection(ctx, "test", &bigquery.ConnectionArgs{
// ConnectionId: pulumi.String("connection_id"),
// Location: pulumi.String("US"),
// Spark: nil,
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "pyspark_mainfile", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("PROCEDURE"),
// Language: pulumi.String("PYTHON"),
// DefinitionBody: pulumi.String(""),
// SparkOptions: &bigquery.RoutineSparkOptionsArgs{
// Connection: testConnection.Name,
// RuntimeVersion: pulumi.String("2.1"),
// MainFileUri: pulumi.String("gs://test-bucket/main.py"),
// PyFileUris: pulumi.StringArray{
// pulumi.String("gs://test-bucket/lib.py"),
// },
// FileUris: pulumi.StringArray{
// pulumi.String("gs://test-bucket/distribute_in_executor.json"),
// },
// ArchiveUris: pulumi.StringArray{
// pulumi.String("gs://test-bucket/distribute_in_executor.tar.gz"),
// },
// },
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Spark Jar
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// testConnection, err := bigquery.NewConnection(ctx, "test", &bigquery.ConnectionArgs{
// ConnectionId: pulumi.String("connection_id"),
// Location: pulumi.String("US"),
// Spark: nil,
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "spark_jar", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("PROCEDURE"),
// Language: pulumi.String("SCALA"),
// DefinitionBody: pulumi.String(""),
// SparkOptions: &bigquery.RoutineSparkOptionsArgs{
// Connection: testConnection.Name,
// RuntimeVersion: pulumi.String("2.1"),
// ContainerImage: pulumi.String("gcr.io/my-project-id/my-spark-image:latest"),
// MainClass: pulumi.String("com.google.test.jar.MainClass"),
// JarUris: pulumi.StringArray{
// pulumi.String("gs://test-bucket/uberjar_spark_spark3.jar"),
// },
// Properties: pulumi.StringMap{
// "spark.dataproc.scaling.version": pulumi.String("2"),
// "spark.reducer.fetchMigratedShuffle.enabled": pulumi.String("true"),
// },
// },
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Data Governance Type
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("tf_test_dataset_id_77884"),
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "custom_masking_routine", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("custom_masking_routine"),
// RoutineType: pulumi.String("SCALAR_FUNCTION"),
// Language: pulumi.String("SQL"),
// DataGovernanceType: pulumi.String("DATA_MASKING"),
// DefinitionBody: pulumi.String("SAFE.REGEXP_REPLACE(ssn, '[0-9]', 'X')"),
// Arguments: bigquery.RoutineArgumentArray{
// &bigquery.RoutineArgumentArgs{
// Name: pulumi.String("ssn"),
// DataType: pulumi.String("{\"typeKind\" : \"STRING\"}"),
// },
// },
// ReturnType: pulumi.String("{\"typeKind\" : \"STRING\"}"),
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
// ### Bigquery Routine Remote Function
//
// ```go
// package main
//
// import (
//
// "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/bigquery"
// "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
//
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// test, err := bigquery.NewDataset(ctx, "test", &bigquery.DatasetArgs{
// DatasetId: pulumi.String("dataset_id"),
// })
// if err != nil {
// return err
// }
// testConnection, err := bigquery.NewConnection(ctx, "test", &bigquery.ConnectionArgs{
// ConnectionId: pulumi.String("connection_id"),
// Location: pulumi.String("US"),
// CloudResource: nil,
// })
// if err != nil {
// return err
// }
// _, err = bigquery.NewRoutine(ctx, "remote_function", &bigquery.RoutineArgs{
// DatasetId: test.DatasetId,
// RoutineId: pulumi.String("routine_id"),
// RoutineType: pulumi.String("SCALAR_FUNCTION"),
// DefinitionBody: pulumi.String(""),
// ReturnType: pulumi.String("{\"typeKind\" : \"STRING\"}"),
// RemoteFunctionOptions: &bigquery.RoutineRemoteFunctionOptionsArgs{
// Endpoint: pulumi.String("https://us-east1-my_gcf_project.cloudfunctions.net/remote_add"),
// Connection: testConnection.Name,
// MaxBatchingRows: pulumi.String("10"),
// UserDefinedContext: pulumi.StringMap{
// "z": pulumi.String("1.5"),
// },
// },
// })
// if err != nil {
// return err
// }
// return nil
// })
// }
//
// ```
//
// ## Import
//
// Routine can be imported using any of these accepted formats:
//
// * `projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}`
//
// * `{{project}}/{{dataset_id}}/{{routine_id}}`
//
// * `{{dataset_id}}/{{routine_id}}`
//
// When using the `pulumi import` command, Routine can be imported using one of the formats above. For example:
//
// ```sh
// $ pulumi import gcp:bigquery/routine:Routine default projects/{{project}}/datasets/{{dataset_id}}/routines/{{routine_id}}
// ```
//
// ```sh
// $ pulumi import gcp:bigquery/routine:Routine default {{project}}/{{dataset_id}}/{{routine_id}}
// ```
//
// ```sh
// $ pulumi import gcp:bigquery/routine:Routine default {{dataset_id}}/{{routine_id}}
// ```
type Routine struct {
pulumi.CustomResourceState
// Input/output argument of a function or a stored procedure.
// Structure is documented below.
Arguments RoutineArgumentArrayOutput `pulumi:"arguments"`
// The time when this routine was created, in milliseconds since the
// epoch.
CreationTime pulumi.IntOutput `pulumi:"creationTime"`
// If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
// Possible values are: `DATA_MASKING`.
DataGovernanceType pulumi.StringPtrOutput `pulumi:"dataGovernanceType"`
// The ID of the dataset containing this routine
DatasetId pulumi.StringOutput `pulumi:"datasetId"`
// 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.
//
// ***
DefinitionBody pulumi.StringOutput `pulumi:"definitionBody"`
// The description of the routine if defined.
Description pulumi.StringPtrOutput `pulumi:"description"`
// The determinism level of the JavaScript UDF if defined.
// Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
DeterminismLevel pulumi.StringPtrOutput `pulumi:"determinismLevel"`
// Optional. If language = "JAVASCRIPT", this field stores the path of the
// imported JAVASCRIPT libraries.
ImportedLibraries pulumi.StringArrayOutput `pulumi:"importedLibraries"`
// The language of the routine.
// Possible values are: `SQL`, `JAVASCRIPT`, `PYTHON`, `JAVA`, `SCALA`.
Language pulumi.StringPtrOutput `pulumi:"language"`
// The time when this routine was modified, in milliseconds since the
// epoch.
LastModifiedTime pulumi.IntOutput `pulumi:"lastModifiedTime"`
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project pulumi.StringOutput `pulumi:"project"`
// Remote function specific options.
// Structure is documented below.
RemoteFunctionOptions RoutineRemoteFunctionOptionsPtrOutput `pulumi:"remoteFunctionOptions"`
// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
// If absent, the return table type is inferred from definitionBody 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 specificed in return table type, at query time.
ReturnTableType pulumi.StringPtrOutput `pulumi:"returnTableType"`
// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
// If absent, the return type is inferred from definitionBody 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. ~>**NOTE**: Because this field expects a JSON
// string, any changes to the string will create a diff, even if the JSON itself hasn't
// changed. If the API returns a different value for the same schema, e.g. it switche
// d the order of values or replaced STRUCT field type with RECORD field type, we currently
// cannot suppress the recurring diff this causes. As a workaround, we recommend using
// the schema as returned by the API.
ReturnType pulumi.StringPtrOutput `pulumi:"returnType"`
// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
RoutineId pulumi.StringOutput `pulumi:"routineId"`
// The type of routine.
// Possible values are: `SCALAR_FUNCTION`, `PROCEDURE`, `TABLE_VALUED_FUNCTION`.
RoutineType pulumi.StringOutput `pulumi:"routineType"`
// Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.
// Structure is documented below.
SparkOptions RoutineSparkOptionsPtrOutput `pulumi:"sparkOptions"`
}
// NewRoutine registers a new resource with the given unique name, arguments, and options.
func NewRoutine(ctx *pulumi.Context,
name string, args *RoutineArgs, opts ...pulumi.ResourceOption) (*Routine, error) {
if args == nil {
return nil, errors.New("missing one or more required arguments")
}
if args.DatasetId == nil {
return nil, errors.New("invalid value for required argument 'DatasetId'")
}
if args.DefinitionBody == nil {
return nil, errors.New("invalid value for required argument 'DefinitionBody'")
}
if args.RoutineId == nil {
return nil, errors.New("invalid value for required argument 'RoutineId'")
}
if args.RoutineType == nil {
return nil, errors.New("invalid value for required argument 'RoutineType'")
}
opts = internal.PkgResourceDefaultOpts(opts)
var resource Routine
err := ctx.RegisterResource("gcp:bigquery/routine:Routine", name, args, &resource, opts...)
if err != nil {
return nil, err
}
return &resource, nil
}
// GetRoutine gets an existing Routine resource's state with the given name, ID, and optional
// state properties that are used to uniquely qualify the lookup (nil if not required).
func GetRoutine(ctx *pulumi.Context,
name string, id pulumi.IDInput, state *RoutineState, opts ...pulumi.ResourceOption) (*Routine, error) {
var resource Routine
err := ctx.ReadResource("gcp:bigquery/routine:Routine", name, id, state, &resource, opts...)
if err != nil {
return nil, err
}
return &resource, nil
}
// Input properties used for looking up and filtering Routine resources.
type routineState struct {
// Input/output argument of a function or a stored procedure.
// Structure is documented below.
Arguments []RoutineArgument `pulumi:"arguments"`
// The time when this routine was created, in milliseconds since the
// epoch.
CreationTime *int `pulumi:"creationTime"`
// If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
// Possible values are: `DATA_MASKING`.
DataGovernanceType *string `pulumi:"dataGovernanceType"`
// The ID of the dataset containing this routine
DatasetId *string `pulumi:"datasetId"`
// 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.
//
// ***
DefinitionBody *string `pulumi:"definitionBody"`
// The description of the routine if defined.
Description *string `pulumi:"description"`
// The determinism level of the JavaScript UDF if defined.
// Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
DeterminismLevel *string `pulumi:"determinismLevel"`
// Optional. If language = "JAVASCRIPT", this field stores the path of the
// imported JAVASCRIPT libraries.
ImportedLibraries []string `pulumi:"importedLibraries"`
// The language of the routine.
// Possible values are: `SQL`, `JAVASCRIPT`, `PYTHON`, `JAVA`, `SCALA`.
Language *string `pulumi:"language"`
// The time when this routine was modified, in milliseconds since the
// epoch.
LastModifiedTime *int `pulumi:"lastModifiedTime"`
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project *string `pulumi:"project"`
// Remote function specific options.
// Structure is documented below.
RemoteFunctionOptions *RoutineRemoteFunctionOptions `pulumi:"remoteFunctionOptions"`
// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
// If absent, the return table type is inferred from definitionBody 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 specificed in return table type, at query time.
ReturnTableType *string `pulumi:"returnTableType"`
// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
// If absent, the return type is inferred from definitionBody 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. ~>**NOTE**: Because this field expects a JSON
// string, any changes to the string will create a diff, even if the JSON itself hasn't
// changed. If the API returns a different value for the same schema, e.g. it switche
// d the order of values or replaced STRUCT field type with RECORD field type, we currently
// cannot suppress the recurring diff this causes. As a workaround, we recommend using
// the schema as returned by the API.
ReturnType *string `pulumi:"returnType"`
// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
RoutineId *string `pulumi:"routineId"`
// The type of routine.
// Possible values are: `SCALAR_FUNCTION`, `PROCEDURE`, `TABLE_VALUED_FUNCTION`.
RoutineType *string `pulumi:"routineType"`
// Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.
// Structure is documented below.
SparkOptions *RoutineSparkOptions `pulumi:"sparkOptions"`
}
type RoutineState struct {
// Input/output argument of a function or a stored procedure.
// Structure is documented below.
Arguments RoutineArgumentArrayInput
// The time when this routine was created, in milliseconds since the
// epoch.
CreationTime pulumi.IntPtrInput
// If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
// Possible values are: `DATA_MASKING`.
DataGovernanceType pulumi.StringPtrInput
// The ID of the dataset containing this routine
DatasetId pulumi.StringPtrInput
// 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.
//
// ***
DefinitionBody pulumi.StringPtrInput
// The description of the routine if defined.
Description pulumi.StringPtrInput
// The determinism level of the JavaScript UDF if defined.
// Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
DeterminismLevel pulumi.StringPtrInput
// Optional. If language = "JAVASCRIPT", this field stores the path of the
// imported JAVASCRIPT libraries.
ImportedLibraries pulumi.StringArrayInput
// The language of the routine.
// Possible values are: `SQL`, `JAVASCRIPT`, `PYTHON`, `JAVA`, `SCALA`.
Language pulumi.StringPtrInput
// The time when this routine was modified, in milliseconds since the
// epoch.
LastModifiedTime pulumi.IntPtrInput
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project pulumi.StringPtrInput
// Remote function specific options.
// Structure is documented below.
RemoteFunctionOptions RoutineRemoteFunctionOptionsPtrInput
// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
// If absent, the return table type is inferred from definitionBody 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 specificed in return table type, at query time.
ReturnTableType pulumi.StringPtrInput
// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
// If absent, the return type is inferred from definitionBody 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. ~>**NOTE**: Because this field expects a JSON
// string, any changes to the string will create a diff, even if the JSON itself hasn't
// changed. If the API returns a different value for the same schema, e.g. it switche
// d the order of values or replaced STRUCT field type with RECORD field type, we currently
// cannot suppress the recurring diff this causes. As a workaround, we recommend using
// the schema as returned by the API.
ReturnType pulumi.StringPtrInput
// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
RoutineId pulumi.StringPtrInput
// The type of routine.
// Possible values are: `SCALAR_FUNCTION`, `PROCEDURE`, `TABLE_VALUED_FUNCTION`.
RoutineType pulumi.StringPtrInput
// Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.
// Structure is documented below.
SparkOptions RoutineSparkOptionsPtrInput
}
func (RoutineState) ElementType() reflect.Type {
return reflect.TypeOf((*routineState)(nil)).Elem()
}
type routineArgs struct {
// Input/output argument of a function or a stored procedure.
// Structure is documented below.
Arguments []RoutineArgument `pulumi:"arguments"`
// If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
// Possible values are: `DATA_MASKING`.
DataGovernanceType *string `pulumi:"dataGovernanceType"`
// The ID of the dataset containing this routine
DatasetId string `pulumi:"datasetId"`
// 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.
//
// ***
DefinitionBody string `pulumi:"definitionBody"`
// The description of the routine if defined.
Description *string `pulumi:"description"`
// The determinism level of the JavaScript UDF if defined.
// Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
DeterminismLevel *string `pulumi:"determinismLevel"`
// Optional. If language = "JAVASCRIPT", this field stores the path of the
// imported JAVASCRIPT libraries.
ImportedLibraries []string `pulumi:"importedLibraries"`
// The language of the routine.
// Possible values are: `SQL`, `JAVASCRIPT`, `PYTHON`, `JAVA`, `SCALA`.
Language *string `pulumi:"language"`
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project *string `pulumi:"project"`
// Remote function specific options.
// Structure is documented below.
RemoteFunctionOptions *RoutineRemoteFunctionOptions `pulumi:"remoteFunctionOptions"`
// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
// If absent, the return table type is inferred from definitionBody 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 specificed in return table type, at query time.
ReturnTableType *string `pulumi:"returnTableType"`
// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
// If absent, the return type is inferred from definitionBody 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. ~>**NOTE**: Because this field expects a JSON
// string, any changes to the string will create a diff, even if the JSON itself hasn't
// changed. If the API returns a different value for the same schema, e.g. it switche
// d the order of values or replaced STRUCT field type with RECORD field type, we currently
// cannot suppress the recurring diff this causes. As a workaround, we recommend using
// the schema as returned by the API.
ReturnType *string `pulumi:"returnType"`
// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
RoutineId string `pulumi:"routineId"`
// The type of routine.
// Possible values are: `SCALAR_FUNCTION`, `PROCEDURE`, `TABLE_VALUED_FUNCTION`.
RoutineType string `pulumi:"routineType"`
// Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.
// Structure is documented below.
SparkOptions *RoutineSparkOptions `pulumi:"sparkOptions"`
}
// The set of arguments for constructing a Routine resource.
type RoutineArgs struct {
// Input/output argument of a function or a stored procedure.
// Structure is documented below.
Arguments RoutineArgumentArrayInput
// If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
// Possible values are: `DATA_MASKING`.
DataGovernanceType pulumi.StringPtrInput
// The ID of the dataset containing this routine
DatasetId pulumi.StringInput
// 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.
//
// ***
DefinitionBody pulumi.StringInput
// The description of the routine if defined.
Description pulumi.StringPtrInput
// The determinism level of the JavaScript UDF if defined.
// Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
DeterminismLevel pulumi.StringPtrInput
// Optional. If language = "JAVASCRIPT", this field stores the path of the
// imported JAVASCRIPT libraries.
ImportedLibraries pulumi.StringArrayInput
// The language of the routine.
// Possible values are: `SQL`, `JAVASCRIPT`, `PYTHON`, `JAVA`, `SCALA`.
Language pulumi.StringPtrInput
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
Project pulumi.StringPtrInput
// Remote function specific options.
// Structure is documented below.
RemoteFunctionOptions RoutineRemoteFunctionOptionsPtrInput
// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
// If absent, the return table type is inferred from definitionBody 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 specificed in return table type, at query time.
ReturnTableType pulumi.StringPtrInput
// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
// If absent, the return type is inferred from definitionBody 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. ~>**NOTE**: Because this field expects a JSON
// string, any changes to the string will create a diff, even if the JSON itself hasn't
// changed. If the API returns a different value for the same schema, e.g. it switche
// d the order of values or replaced STRUCT field type with RECORD field type, we currently
// cannot suppress the recurring diff this causes. As a workaround, we recommend using
// the schema as returned by the API.
ReturnType pulumi.StringPtrInput
// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.
RoutineId pulumi.StringInput
// The type of routine.
// Possible values are: `SCALAR_FUNCTION`, `PROCEDURE`, `TABLE_VALUED_FUNCTION`.
RoutineType pulumi.StringInput
// Optional. If language is one of "PYTHON", "JAVA", "SCALA", this field stores the options for spark stored procedure.
// Structure is documented below.
SparkOptions RoutineSparkOptionsPtrInput
}
func (RoutineArgs) ElementType() reflect.Type {
return reflect.TypeOf((*routineArgs)(nil)).Elem()
}
type RoutineInput interface {
pulumi.Input
ToRoutineOutput() RoutineOutput
ToRoutineOutputWithContext(ctx context.Context) RoutineOutput
}
func (*Routine) ElementType() reflect.Type {
return reflect.TypeOf((**Routine)(nil)).Elem()
}
func (i *Routine) ToRoutineOutput() RoutineOutput {
return i.ToRoutineOutputWithContext(context.Background())
}
func (i *Routine) ToRoutineOutputWithContext(ctx context.Context) RoutineOutput {
return pulumi.ToOutputWithContext(ctx, i).(RoutineOutput)
}
// RoutineArrayInput is an input type that accepts RoutineArray and RoutineArrayOutput values.
// You can construct a concrete instance of `RoutineArrayInput` via:
//
// RoutineArray{ RoutineArgs{...} }
type RoutineArrayInput interface {
pulumi.Input
ToRoutineArrayOutput() RoutineArrayOutput
ToRoutineArrayOutputWithContext(context.Context) RoutineArrayOutput
}
type RoutineArray []RoutineInput
func (RoutineArray) ElementType() reflect.Type {
return reflect.TypeOf((*[]*Routine)(nil)).Elem()
}
func (i RoutineArray) ToRoutineArrayOutput() RoutineArrayOutput {
return i.ToRoutineArrayOutputWithContext(context.Background())
}
func (i RoutineArray) ToRoutineArrayOutputWithContext(ctx context.Context) RoutineArrayOutput {
return pulumi.ToOutputWithContext(ctx, i).(RoutineArrayOutput)
}
// RoutineMapInput is an input type that accepts RoutineMap and RoutineMapOutput values.
// You can construct a concrete instance of `RoutineMapInput` via:
//
// RoutineMap{ "key": RoutineArgs{...} }
type RoutineMapInput interface {
pulumi.Input
ToRoutineMapOutput() RoutineMapOutput
ToRoutineMapOutputWithContext(context.Context) RoutineMapOutput
}
type RoutineMap map[string]RoutineInput
func (RoutineMap) ElementType() reflect.Type {
return reflect.TypeOf((*map[string]*Routine)(nil)).Elem()
}
func (i RoutineMap) ToRoutineMapOutput() RoutineMapOutput {
return i.ToRoutineMapOutputWithContext(context.Background())
}
func (i RoutineMap) ToRoutineMapOutputWithContext(ctx context.Context) RoutineMapOutput {
return pulumi.ToOutputWithContext(ctx, i).(RoutineMapOutput)
}
type RoutineOutput struct{ *pulumi.OutputState }
func (RoutineOutput) ElementType() reflect.Type {
return reflect.TypeOf((**Routine)(nil)).Elem()
}
func (o RoutineOutput) ToRoutineOutput() RoutineOutput {
return o
}
func (o RoutineOutput) ToRoutineOutputWithContext(ctx context.Context) RoutineOutput {
return o
}
// Input/output argument of a function or a stored procedure.
// Structure is documented below.
func (o RoutineOutput) Arguments() RoutineArgumentArrayOutput {
return o.ApplyT(func(v *Routine) RoutineArgumentArrayOutput { return v.Arguments }).(RoutineArgumentArrayOutput)
}
// The time when this routine was created, in milliseconds since the
// epoch.
func (o RoutineOutput) CreationTime() pulumi.IntOutput {
return o.ApplyT(func(v *Routine) pulumi.IntOutput { return v.CreationTime }).(pulumi.IntOutput)
}
// If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see https://cloud.google.com/bigquery/docs/user-defined-functions#custom-mask
// Possible values are: `DATA_MASKING`.
func (o RoutineOutput) DataGovernanceType() pulumi.StringPtrOutput {
return o.ApplyT(func(v *Routine) pulumi.StringPtrOutput { return v.DataGovernanceType }).(pulumi.StringPtrOutput)
}
// The ID of the dataset containing this routine
func (o RoutineOutput) DatasetId() pulumi.StringOutput {
return o.ApplyT(func(v *Routine) pulumi.StringOutput { return v.DatasetId }).(pulumi.StringOutput)
}
// 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.
//
// ***
func (o RoutineOutput) DefinitionBody() pulumi.StringOutput {
return o.ApplyT(func(v *Routine) pulumi.StringOutput { return v.DefinitionBody }).(pulumi.StringOutput)
}
// The description of the routine if defined.
func (o RoutineOutput) Description() pulumi.StringPtrOutput {
return o.ApplyT(func(v *Routine) pulumi.StringPtrOutput { return v.Description }).(pulumi.StringPtrOutput)
}
// The determinism level of the JavaScript UDF if defined.
// Possible values are: `DETERMINISM_LEVEL_UNSPECIFIED`, `DETERMINISTIC`, `NOT_DETERMINISTIC`.
func (o RoutineOutput) DeterminismLevel() pulumi.StringPtrOutput {
return o.ApplyT(func(v *Routine) pulumi.StringPtrOutput { return v.DeterminismLevel }).(pulumi.StringPtrOutput)
}
// Optional. If language = "JAVASCRIPT", this field stores the path of the
// imported JAVASCRIPT libraries.
func (o RoutineOutput) ImportedLibraries() pulumi.StringArrayOutput {
return o.ApplyT(func(v *Routine) pulumi.StringArrayOutput { return v.ImportedLibraries }).(pulumi.StringArrayOutput)
}
// The language of the routine.
// Possible values are: `SQL`, `JAVASCRIPT`, `PYTHON`, `JAVA`, `SCALA`.
func (o RoutineOutput) Language() pulumi.StringPtrOutput {
return o.ApplyT(func(v *Routine) pulumi.StringPtrOutput { return v.Language }).(pulumi.StringPtrOutput)
}
// The time when this routine was modified, in milliseconds since the
// epoch.
func (o RoutineOutput) LastModifiedTime() pulumi.IntOutput {
return o.ApplyT(func(v *Routine) pulumi.IntOutput { return v.LastModifiedTime }).(pulumi.IntOutput)
}
// The ID of the project in which the resource belongs.
// If it is not provided, the provider project is used.
func (o RoutineOutput) Project() pulumi.StringOutput {
return o.ApplyT(func(v *Routine) pulumi.StringOutput { return v.Project }).(pulumi.StringOutput)
}
// Remote function specific options.
// Structure is documented below.
func (o RoutineOutput) RemoteFunctionOptions() RoutineRemoteFunctionOptionsPtrOutput {
return o.ApplyT(func(v *Routine) RoutineRemoteFunctionOptionsPtrOutput { return v.RemoteFunctionOptions }).(RoutineRemoteFunctionOptionsPtrOutput)
}
// Optional. Can be set only if routineType = "TABLE_VALUED_FUNCTION".
// If absent, the return table type is inferred from definitionBody 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 specificed in return table type, at query time.
func (o RoutineOutput) ReturnTableType() pulumi.StringPtrOutput {
return o.ApplyT(func(v *Routine) pulumi.StringPtrOutput { return v.ReturnTableType }).(pulumi.StringPtrOutput)
}
// A JSON schema for the return type. Optional if language = "SQL"; required otherwise.
// If absent, the return type is inferred from definitionBody 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. ~>**NOTE**: Because this field expects a JSON
// string, any changes to the string will create a diff, even if the JSON itself hasn't
// changed. If the API returns a different value for the same schema, e.g. it switche
// d the order of values or replaced STRUCT field type with RECORD field type, we currently
// cannot suppress the recurring diff this causes. As a workaround, we recommend using
// the schema as returned by the API.
func (o RoutineOutput) ReturnType() pulumi.StringPtrOutput {
return o.ApplyT(func(v *Routine) pulumi.StringPtrOutput { return v.ReturnType }).(pulumi.StringPtrOutput)
}
// The ID of the the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.