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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.aws.glue.kotlin
import com.pulumi.aws.glue.kotlin.outputs.MLTransformInputRecordTable
import com.pulumi.aws.glue.kotlin.outputs.MLTransformParameters
import com.pulumi.aws.glue.kotlin.outputs.MLTransformSchema
import com.pulumi.core.Output
import com.pulumi.kotlin.KotlinCustomResource
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.ResourceMapper
import com.pulumi.kotlin.options.CustomResourceOptions
import com.pulumi.kotlin.options.CustomResourceOptionsBuilder
import com.pulumi.resources.Resource
import kotlin.Boolean
import kotlin.Deprecated
import kotlin.Double
import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.List
import kotlin.collections.Map
import com.pulumi.aws.glue.kotlin.outputs.MLTransformInputRecordTable.Companion.toKotlin as mLTransformInputRecordTableToKotlin
import com.pulumi.aws.glue.kotlin.outputs.MLTransformParameters.Companion.toKotlin as mLTransformParametersToKotlin
import com.pulumi.aws.glue.kotlin.outputs.MLTransformSchema.Companion.toKotlin as mLTransformSchemaToKotlin
/**
* Builder for [MLTransform].
*/
@PulumiTagMarker
public class MLTransformResourceBuilder internal constructor() {
public var name: String? = null
public var args: MLTransformArgs = MLTransformArgs()
public var opts: CustomResourceOptions = CustomResourceOptions()
/**
* @param name The _unique_ name of the resulting resource.
*/
public fun name(`value`: String) {
this.name = value
}
/**
* @param block The arguments to use to populate this resource's properties.
*/
public suspend fun args(block: suspend MLTransformArgsBuilder.() -> Unit) {
val builder = MLTransformArgsBuilder()
block(builder)
this.args = builder.build()
}
/**
* @param block A bag of options that control this resource's behavior.
*/
public suspend fun opts(block: suspend CustomResourceOptionsBuilder.() -> Unit) {
this.opts = com.pulumi.kotlin.options.CustomResourceOptions.opts(block)
}
internal fun build(): MLTransform {
val builtJavaResource = com.pulumi.aws.glue.MLTransform(
this.name,
this.args.toJava(),
this.opts.toJava(),
)
return MLTransform(builtJavaResource)
}
}
/**
* Provides a Glue ML Transform resource.
* ## Example Usage
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as aws from "@pulumi/aws";
* const testCatalogDatabase = new aws.glue.CatalogDatabase("test", {name: "example"});
* const testCatalogTable = new aws.glue.CatalogTable("test", {
* name: "example",
* databaseName: testCatalogDatabase.name,
* owner: "my_owner",
* retention: 1,
* tableType: "VIRTUAL_VIEW",
* viewExpandedText: "view_expanded_text_1",
* viewOriginalText: "view_original_text_1",
* storageDescriptor: {
* bucketColumns: ["bucket_column_1"],
* compressed: false,
* inputFormat: "SequenceFileInputFormat",
* location: "my_location",
* numberOfBuckets: 1,
* outputFormat: "SequenceFileInputFormat",
* storedAsSubDirectories: false,
* parameters: {
* param1: "param1_val",
* },
* columns: [
* {
* name: "my_column_1",
* type: "int",
* comment: "my_column1_comment",
* },
* {
* name: "my_column_2",
* type: "string",
* comment: "my_column2_comment",
* },
* ],
* serDeInfo: {
* name: "ser_de_name",
* parameters: {
* param1: "param_val_1",
* },
* serializationLibrary: "org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe",
* },
* sortColumns: [{
* column: "my_column_1",
* sortOrder: 1,
* }],
* skewedInfo: {
* skewedColumnNames: ["my_column_1"],
* skewedColumnValueLocationMaps: {
* my_column_1: "my_column_1_val_loc_map",
* },
* skewedColumnValues: ["skewed_val_1"],
* },
* },
* partitionKeys: [
* {
* name: "my_column_1",
* type: "int",
* comment: "my_column_1_comment",
* },
* {
* name: "my_column_2",
* type: "string",
* comment: "my_column_2_comment",
* },
* ],
* parameters: {
* param1: "param1_val",
* },
* });
* const test = new aws.glue.MLTransform("test", {
* name: "example",
* roleArn: testAwsIamRole.arn,
* inputRecordTables: [{
* databaseName: testCatalogTable.databaseName,
* tableName: testCatalogTable.name,
* }],
* parameters: {
* transformType: "FIND_MATCHES",
* findMatchesParameters: {
* primaryKeyColumnName: "my_column_1",
* },
* },
* }, {
* dependsOn: [testAwsIamRolePolicyAttachment],
* });
* ```
* ```python
* import pulumi
* import pulumi_aws as aws
* test_catalog_database = aws.glue.CatalogDatabase("test", name="example")
* test_catalog_table = aws.glue.CatalogTable("test",
* name="example",
* database_name=test_catalog_database.name,
* owner="my_owner",
* retention=1,
* table_type="VIRTUAL_VIEW",
* view_expanded_text="view_expanded_text_1",
* view_original_text="view_original_text_1",
* storage_descriptor={
* "bucket_columns": ["bucket_column_1"],
* "compressed": False,
* "input_format": "SequenceFileInputFormat",
* "location": "my_location",
* "number_of_buckets": 1,
* "output_format": "SequenceFileInputFormat",
* "stored_as_sub_directories": False,
* "parameters": {
* "param1": "param1_val",
* },
* "columns": [
* {
* "name": "my_column_1",
* "type": "int",
* "comment": "my_column1_comment",
* },
* {
* "name": "my_column_2",
* "type": "string",
* "comment": "my_column2_comment",
* },
* ],
* "ser_de_info": {
* "name": "ser_de_name",
* "parameters": {
* "param1": "param_val_1",
* },
* "serialization_library": "org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe",
* },
* "sort_columns": [{
* "column": "my_column_1",
* "sort_order": 1,
* }],
* "skewed_info": {
* "skewed_column_names": ["my_column_1"],
* "skewed_column_value_location_maps": {
* "my_column_1": "my_column_1_val_loc_map",
* },
* "skewed_column_values": ["skewed_val_1"],
* },
* },
* partition_keys=[
* {
* "name": "my_column_1",
* "type": "int",
* "comment": "my_column_1_comment",
* },
* {
* "name": "my_column_2",
* "type": "string",
* "comment": "my_column_2_comment",
* },
* ],
* parameters={
* "param1": "param1_val",
* })
* test = aws.glue.MLTransform("test",
* name="example",
* role_arn=test_aws_iam_role["arn"],
* input_record_tables=[{
* "database_name": test_catalog_table.database_name,
* "table_name": test_catalog_table.name,
* }],
* parameters={
* "transform_type": "FIND_MATCHES",
* "find_matches_parameters": {
* "primary_key_column_name": "my_column_1",
* },
* },
* opts = pulumi.ResourceOptions(depends_on=[test_aws_iam_role_policy_attachment]))
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Aws = Pulumi.Aws;
* return await Deployment.RunAsync(() =>
* {
* var testCatalogDatabase = new Aws.Glue.CatalogDatabase("test", new()
* {
* Name = "example",
* });
* var testCatalogTable = new Aws.Glue.CatalogTable("test", new()
* {
* Name = "example",
* DatabaseName = testCatalogDatabase.Name,
* Owner = "my_owner",
* Retention = 1,
* TableType = "VIRTUAL_VIEW",
* ViewExpandedText = "view_expanded_text_1",
* ViewOriginalText = "view_original_text_1",
* StorageDescriptor = new Aws.Glue.Inputs.CatalogTableStorageDescriptorArgs
* {
* BucketColumns = new[]
* {
* "bucket_column_1",
* },
* Compressed = false,
* InputFormat = "SequenceFileInputFormat",
* Location = "my_location",
* NumberOfBuckets = 1,
* OutputFormat = "SequenceFileInputFormat",
* StoredAsSubDirectories = false,
* Parameters =
* {
* { "param1", "param1_val" },
* },
* Columns = new[]
* {
* new Aws.Glue.Inputs.CatalogTableStorageDescriptorColumnArgs
* {
* Name = "my_column_1",
* Type = "int",
* Comment = "my_column1_comment",
* },
* new Aws.Glue.Inputs.CatalogTableStorageDescriptorColumnArgs
* {
* Name = "my_column_2",
* Type = "string",
* Comment = "my_column2_comment",
* },
* },
* SerDeInfo = new Aws.Glue.Inputs.CatalogTableStorageDescriptorSerDeInfoArgs
* {
* Name = "ser_de_name",
* Parameters =
* {
* { "param1", "param_val_1" },
* },
* SerializationLibrary = "org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe",
* },
* SortColumns = new[]
* {
* new Aws.Glue.Inputs.CatalogTableStorageDescriptorSortColumnArgs
* {
* Column = "my_column_1",
* SortOrder = 1,
* },
* },
* SkewedInfo = new Aws.Glue.Inputs.CatalogTableStorageDescriptorSkewedInfoArgs
* {
* SkewedColumnNames = new[]
* {
* "my_column_1",
* },
* SkewedColumnValueLocationMaps =
* {
* { "my_column_1", "my_column_1_val_loc_map" },
* },
* SkewedColumnValues = new[]
* {
* "skewed_val_1",
* },
* },
* },
* PartitionKeys = new[]
* {
* new Aws.Glue.Inputs.CatalogTablePartitionKeyArgs
* {
* Name = "my_column_1",
* Type = "int",
* Comment = "my_column_1_comment",
* },
* new Aws.Glue.Inputs.CatalogTablePartitionKeyArgs
* {
* Name = "my_column_2",
* Type = "string",
* Comment = "my_column_2_comment",
* },
* },
* Parameters =
* {
* { "param1", "param1_val" },
* },
* });
* var test = new Aws.Glue.MLTransform("test", new()
* {
* Name = "example",
* RoleArn = testAwsIamRole.Arn,
* InputRecordTables = new[]
* {
* new Aws.Glue.Inputs.MLTransformInputRecordTableArgs
* {
* DatabaseName = testCatalogTable.DatabaseName,
* TableName = testCatalogTable.Name,
* },
* },
* Parameters = new Aws.Glue.Inputs.MLTransformParametersArgs
* {
* TransformType = "FIND_MATCHES",
* FindMatchesParameters = new Aws.Glue.Inputs.MLTransformParametersFindMatchesParametersArgs
* {
* PrimaryKeyColumnName = "my_column_1",
* },
* },
* }, new CustomResourceOptions
* {
* DependsOn =
* {
* testAwsIamRolePolicyAttachment,
* },
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-aws/sdk/v6/go/aws/glue"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* testCatalogDatabase, err := glue.NewCatalogDatabase(ctx, "test", &glue.CatalogDatabaseArgs{
* Name: pulumi.String("example"),
* })
* if err != nil {
* return err
* }
* testCatalogTable, err := glue.NewCatalogTable(ctx, "test", &glue.CatalogTableArgs{
* Name: pulumi.String("example"),
* DatabaseName: testCatalogDatabase.Name,
* Owner: pulumi.String("my_owner"),
* Retention: pulumi.Int(1),
* TableType: pulumi.String("VIRTUAL_VIEW"),
* ViewExpandedText: pulumi.String("view_expanded_text_1"),
* ViewOriginalText: pulumi.String("view_original_text_1"),
* StorageDescriptor: &glue.CatalogTableStorageDescriptorArgs{
* BucketColumns: pulumi.StringArray{
* pulumi.String("bucket_column_1"),
* },
* Compressed: pulumi.Bool(false),
* InputFormat: pulumi.String("SequenceFileInputFormat"),
* Location: pulumi.String("my_location"),
* NumberOfBuckets: pulumi.Int(1),
* OutputFormat: pulumi.String("SequenceFileInputFormat"),
* StoredAsSubDirectories: pulumi.Bool(false),
* Parameters: pulumi.StringMap{
* "param1": pulumi.String("param1_val"),
* },
* Columns: glue.CatalogTableStorageDescriptorColumnArray{
* &glue.CatalogTableStorageDescriptorColumnArgs{
* Name: pulumi.String("my_column_1"),
* Type: pulumi.String("int"),
* Comment: pulumi.String("my_column1_comment"),
* },
* &glue.CatalogTableStorageDescriptorColumnArgs{
* Name: pulumi.String("my_column_2"),
* Type: pulumi.String("string"),
* Comment: pulumi.String("my_column2_comment"),
* },
* },
* SerDeInfo: &glue.CatalogTableStorageDescriptorSerDeInfoArgs{
* Name: pulumi.String("ser_de_name"),
* Parameters: pulumi.StringMap{
* "param1": pulumi.String("param_val_1"),
* },
* SerializationLibrary: pulumi.String("org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe"),
* },
* SortColumns: glue.CatalogTableStorageDescriptorSortColumnArray{
* &glue.CatalogTableStorageDescriptorSortColumnArgs{
* Column: pulumi.String("my_column_1"),
* SortOrder: pulumi.Int(1),
* },
* },
* SkewedInfo: &glue.CatalogTableStorageDescriptorSkewedInfoArgs{
* SkewedColumnNames: pulumi.StringArray{
* pulumi.String("my_column_1"),
* },
* SkewedColumnValueLocationMaps: pulumi.StringMap{
* "my_column_1": pulumi.String("my_column_1_val_loc_map"),
* },
* SkewedColumnValues: pulumi.StringArray{
* pulumi.String("skewed_val_1"),
* },
* },
* },
* PartitionKeys: glue.CatalogTablePartitionKeyArray{
* &glue.CatalogTablePartitionKeyArgs{
* Name: pulumi.String("my_column_1"),
* Type: pulumi.String("int"),
* Comment: pulumi.String("my_column_1_comment"),
* },
* &glue.CatalogTablePartitionKeyArgs{
* Name: pulumi.String("my_column_2"),
* Type: pulumi.String("string"),
* Comment: pulumi.String("my_column_2_comment"),
* },
* },
* Parameters: pulumi.StringMap{
* "param1": pulumi.String("param1_val"),
* },
* })
* if err != nil {
* return err
* }
* _, err = glue.NewMLTransform(ctx, "test", &glue.MLTransformArgs{
* Name: pulumi.String("example"),
* RoleArn: pulumi.Any(testAwsIamRole.Arn),
* InputRecordTables: glue.MLTransformInputRecordTableArray{
* &glue.MLTransformInputRecordTableArgs{
* DatabaseName: testCatalogTable.DatabaseName,
* TableName: testCatalogTable.Name,
* },
* },
* Parameters: &glue.MLTransformParametersArgs{
* TransformType: pulumi.String("FIND_MATCHES"),
* FindMatchesParameters: &glue.MLTransformParametersFindMatchesParametersArgs{
* PrimaryKeyColumnName: pulumi.String("my_column_1"),
* },
* },
* }, pulumi.DependsOn([]pulumi.Resource{
* testAwsIamRolePolicyAttachment,
* }))
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.aws.glue.CatalogDatabase;
* import com.pulumi.aws.glue.CatalogDatabaseArgs;
* import com.pulumi.aws.glue.CatalogTable;
* import com.pulumi.aws.glue.CatalogTableArgs;
* import com.pulumi.aws.glue.inputs.CatalogTableStorageDescriptorArgs;
* import com.pulumi.aws.glue.inputs.CatalogTableStorageDescriptorSerDeInfoArgs;
* import com.pulumi.aws.glue.inputs.CatalogTableStorageDescriptorSkewedInfoArgs;
* import com.pulumi.aws.glue.inputs.CatalogTablePartitionKeyArgs;
* import com.pulumi.aws.glue.MLTransform;
* import com.pulumi.aws.glue.MLTransformArgs;
* import com.pulumi.aws.glue.inputs.MLTransformInputRecordTableArgs;
* import com.pulumi.aws.glue.inputs.MLTransformParametersArgs;
* import com.pulumi.aws.glue.inputs.MLTransformParametersFindMatchesParametersArgs;
* import com.pulumi.resources.CustomResourceOptions;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var testCatalogDatabase = new CatalogDatabase("testCatalogDatabase", CatalogDatabaseArgs.builder()
* .name("example")
* .build());
* var testCatalogTable = new CatalogTable("testCatalogTable", CatalogTableArgs.builder()
* .name("example")
* .databaseName(testCatalogDatabase.name())
* .owner("my_owner")
* .retention(1)
* .tableType("VIRTUAL_VIEW")
* .viewExpandedText("view_expanded_text_1")
* .viewOriginalText("view_original_text_1")
* .storageDescriptor(CatalogTableStorageDescriptorArgs.builder()
* .bucketColumns("bucket_column_1")
* .compressed(false)
* .inputFormat("SequenceFileInputFormat")
* .location("my_location")
* .numberOfBuckets(1)
* .outputFormat("SequenceFileInputFormat")
* .storedAsSubDirectories(false)
* .parameters(Map.of("param1", "param1_val"))
* .columns(
* CatalogTableStorageDescriptorColumnArgs.builder()
* .name("my_column_1")
* .type("int")
* .comment("my_column1_comment")
* .build(),
* CatalogTableStorageDescriptorColumnArgs.builder()
* .name("my_column_2")
* .type("string")
* .comment("my_column2_comment")
* .build())
* .serDeInfo(CatalogTableStorageDescriptorSerDeInfoArgs.builder()
* .name("ser_de_name")
* .parameters(Map.of("param1", "param_val_1"))
* .serializationLibrary("org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe")
* .build())
* .sortColumns(CatalogTableStorageDescriptorSortColumnArgs.builder()
* .column("my_column_1")
* .sortOrder(1)
* .build())
* .skewedInfo(CatalogTableStorageDescriptorSkewedInfoArgs.builder()
* .skewedColumnNames("my_column_1")
* .skewedColumnValueLocationMaps(Map.of("my_column_1", "my_column_1_val_loc_map"))
* .skewedColumnValues("skewed_val_1")
* .build())
* .build())
* .partitionKeys(
* CatalogTablePartitionKeyArgs.builder()
* .name("my_column_1")
* .type("int")
* .comment("my_column_1_comment")
* .build(),
* CatalogTablePartitionKeyArgs.builder()
* .name("my_column_2")
* .type("string")
* .comment("my_column_2_comment")
* .build())
* .parameters(Map.of("param1", "param1_val"))
* .build());
* var test = new MLTransform("test", MLTransformArgs.builder()
* .name("example")
* .roleArn(testAwsIamRole.arn())
* .inputRecordTables(MLTransformInputRecordTableArgs.builder()
* .databaseName(testCatalogTable.databaseName())
* .tableName(testCatalogTable.name())
* .build())
* .parameters(MLTransformParametersArgs.builder()
* .transformType("FIND_MATCHES")
* .findMatchesParameters(MLTransformParametersFindMatchesParametersArgs.builder()
* .primaryKeyColumnName("my_column_1")
* .build())
* .build())
* .build(), CustomResourceOptions.builder()
* .dependsOn(testAwsIamRolePolicyAttachment)
* .build());
* }
* }
* ```
* ```yaml
* resources:
* test:
* type: aws:glue:MLTransform
* properties:
* name: example
* roleArn: ${testAwsIamRole.arn}
* inputRecordTables:
* - databaseName: ${testCatalogTable.databaseName}
* tableName: ${testCatalogTable.name}
* parameters:
* transformType: FIND_MATCHES
* findMatchesParameters:
* primaryKeyColumnName: my_column_1
* options:
* dependson:
* - ${testAwsIamRolePolicyAttachment}
* testCatalogDatabase:
* type: aws:glue:CatalogDatabase
* name: test
* properties:
* name: example
* testCatalogTable:
* type: aws:glue:CatalogTable
* name: test
* properties:
* name: example
* databaseName: ${testCatalogDatabase.name}
* owner: my_owner
* retention: 1
* tableType: VIRTUAL_VIEW
* viewExpandedText: view_expanded_text_1
* viewOriginalText: view_original_text_1
* storageDescriptor:
* bucketColumns:
* - bucket_column_1
* compressed: false
* inputFormat: SequenceFileInputFormat
* location: my_location
* numberOfBuckets: 1
* outputFormat: SequenceFileInputFormat
* storedAsSubDirectories: false
* parameters:
* param1: param1_val
* columns:
* - name: my_column_1
* type: int
* comment: my_column1_comment
* - name: my_column_2
* type: string
* comment: my_column2_comment
* serDeInfo:
* name: ser_de_name
* parameters:
* param1: param_val_1
* serializationLibrary: org.apache.hadoop.hive.serde2.columnar.ColumnarSerDe
* sortColumns:
* - column: my_column_1
* sortOrder: 1
* skewedInfo:
* skewedColumnNames:
* - my_column_1
* skewedColumnValueLocationMaps:
* my_column_1: my_column_1_val_loc_map
* skewedColumnValues:
* - skewed_val_1
* partitionKeys:
* - name: my_column_1
* type: int
* comment: my_column_1_comment
* - name: my_column_2
* type: string
* comment: my_column_2_comment
* parameters:
* param1: param1_val
* ```
*
* ## Import
* Using `pulumi import`, import Glue ML Transforms using `id`. For example:
* ```sh
* $ pulumi import aws:glue/mLTransform:MLTransform example tfm-c2cafbe83b1c575f49eaca9939220e2fcd58e2d5
* ```
*/
public class MLTransform internal constructor(
override val javaResource: com.pulumi.aws.glue.MLTransform,
) : KotlinCustomResource(javaResource, MLTransformMapper) {
/**
* Amazon Resource Name (ARN) of Glue ML Transform.
*/
public val arn: Output
get() = javaResource.arn().applyValue({ args0 -> args0 })
/**
* Description of the ML Transform.
*/
public val description: Output?
get() = javaResource.description().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The version of glue to use, for example "1.0". For information about available versions, see the [AWS Glue Release Notes](https://docs.aws.amazon.com/glue/latest/dg/release-notes.html).
*/
public val glueVersion: Output
get() = javaResource.glueVersion().applyValue({ args0 -> args0 })
/**
* A list of AWS Glue table definitions used by the transform. see Input Record Tables.
*/
public val inputRecordTables: Output>
get() = javaResource.inputRecordTables().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 -> mLTransformInputRecordTableToKotlin(args0) })
})
})
/**
* The number of labels available for this transform.
*/
public val labelCount: Output
get() = javaResource.labelCount().applyValue({ args0 -> args0 })
/**
* The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from `2` to `100` DPUs; the default is `10`. `max_capacity` is a mutually exclusive option with `number_of_workers` and `worker_type`.
*/
public val maxCapacity: Output
get() = javaResource.maxCapacity().applyValue({ args0 -> args0 })
/**
* The maximum number of times to retry this ML Transform if it fails.
*/
public val maxRetries: Output?
get() = javaResource.maxRetries().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The name you assign to this ML Transform. It must be unique in your account.
*/
public val name: Output
get() = javaResource.name().applyValue({ args0 -> args0 })
/**
* The number of workers of a defined `worker_type` that are allocated when an ML Transform runs. Required with `worker_type`.
*/
public val numberOfWorkers: Output?
get() = javaResource.numberOfWorkers().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
/**
* The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. see Parameters.
*/
public val parameters: Output
get() = javaResource.parameters().applyValue({ args0 ->
args0.let({ args0 ->
mLTransformParametersToKotlin(args0)
})
})
/**
* The ARN of the IAM role associated with this ML Transform.
*/
public val roleArn: Output
get() = javaResource.roleArn().applyValue({ args0 -> args0 })
/**
* The object that represents the schema that this transform accepts. see Schema.
*/
public val schemas: Output>
get() = javaResource.schemas().applyValue({ args0 ->
args0.map({ args0 ->
args0.let({ args0 ->
mLTransformSchemaToKotlin(args0)
})
})
})
/**
* Key-value map of resource tags. .If configured with a provider `default_tags` configuration block present, tags with matching keys will overwrite those defined at the provider-level.
*/
public val tags: Output>?
get() = javaResource.tags().applyValue({ args0 ->
args0.map({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
}).orElse(null)
})
/**
* A map of tags assigned to the resource, including those inherited from the provider `default_tags` configuration block.
*/
@Deprecated(
message = """
Please use `tags` instead.
""",
)
public val tagsAll: Output>
get() = javaResource.tagsAll().applyValue({ args0 ->
args0.map({ args0 ->
args0.key.to(args0.value)
}).toMap()
})
/**
* The ML Transform timeout in minutes. The default is 2880 minutes (48 hours).
*/
public val timeout: Output?
get() = javaResource.timeout().applyValue({ args0 -> args0.map({ args0 -> args0 }).orElse(null) })
/**
* The type of predefined worker that is allocated when an ML Transform runs. Accepts a value of `Standard`, `G.1X`, or `G.2X`. Required with `number_of_workers`.
*/
public val workerType: Output?
get() = javaResource.workerType().applyValue({ args0 ->
args0.map({ args0 ->
args0
}).orElse(null)
})
}
public object MLTransformMapper : ResourceMapper {
override fun supportsMappingOfType(javaResource: Resource): Boolean =
com.pulumi.aws.glue.MLTransform::class == javaResource::class
override fun map(javaResource: Resource): MLTransform = MLTransform(
javaResource as
com.pulumi.aws.glue.MLTransform,
)
}
/**
* @see [MLTransform].
* @param name The _unique_ name of the resulting resource.
* @param block Builder for [MLTransform].
*/
public suspend fun mlTransform(name: String, block: suspend MLTransformResourceBuilder.() -> Unit): MLTransform {
val builder = MLTransformResourceBuilder()
builder.name(name)
block(builder)
return builder.build()
}
/**
* @see [MLTransform].
* @param name The _unique_ name of the resulting resource.
*/
public fun mlTransform(name: String): MLTransform {
val builder = MLTransformResourceBuilder()
builder.name(name)
return builder.build()
}
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