/
mltransform.go
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/
mltransform.go
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// *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
package glue
import (
"context"
"reflect"
"github.com/pkg/errors"
"github.com/pulumi/pulumi/sdk/v2/go/pulumi"
)
// Provides a Glue ML Transform resource.
//
// ## Example Usage
//
// ```go
// package main
//
// import (
// "github.com/pulumi/pulumi-aws/sdk/v3/go/aws/glue"
// "github.com/pulumi/pulumi/sdk/v2/go/pulumi"
// )
//
// func main() {
// pulumi.Run(func(ctx *pulumi.Context) error {
// testCatalogDatabase, err := glue.NewCatalogDatabase(ctx, "testCatalogDatabase", &glue.CatalogDatabaseArgs{
// Name: pulumi.String("example"),
// })
// if err != nil {
// return err
// }
// testCatalogTable, err := glue.NewCatalogTable(ctx, "testCatalogTable", &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, "testMLTransform", &glue.MLTransformArgs{
// RoleArn: pulumi.Any(aws_iam_role.Test.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{
// aws_iam_role_policy_attachment.Test,
// }))
// if err != nil {
// return err
// }
// return nil
// })
// }
// ```
//
// ## Import
//
// Glue ML Transforms can be imported using `id`, e.g.
//
// ```sh
// $ pulumi import aws:glue/mLTransform:MLTransform example tfm-c2cafbe83b1c575f49eaca9939220e2fcd58e2d5
// ```
type MLTransform struct {
pulumi.CustomResourceState
// Amazon Resource Name (ARN) of Glue ML Transform.
Arn pulumi.StringOutput `pulumi:"arn"`
// Description of the ML Transform.
Description pulumi.StringPtrOutput `pulumi:"description"`
// 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).
GlueVersion pulumi.StringOutput `pulumi:"glueVersion"`
// A list of AWS Glue table definitions used by the transform. see Input Record Tables.
InputRecordTables MLTransformInputRecordTableArrayOutput `pulumi:"inputRecordTables"`
// The number of labels available for this transform.
LabelCount pulumi.IntOutput `pulumi:"labelCount"`
// 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`. `maxCapacity` is a mutually exclusive option with `numberOfWorkers` and `workerType`.
MaxCapacity pulumi.Float64Output `pulumi:"maxCapacity"`
// The maximum number of times to retry this ML Transform if it fails.
MaxRetries pulumi.IntPtrOutput `pulumi:"maxRetries"`
// The name you assign to this ML Transform. It must be unique in your account.
Name pulumi.StringOutput `pulumi:"name"`
// The number of workers of a defined `workerType` that are allocated when an ML Transform runs. Required with `workerType`.
NumberOfWorkers pulumi.IntPtrOutput `pulumi:"numberOfWorkers"`
// The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. see Parameters.
Parameters MLTransformParametersOutput `pulumi:"parameters"`
// The ARN of the IAM role associated with this ML Transform.
RoleArn pulumi.StringOutput `pulumi:"roleArn"`
// The object that represents the schema that this transform accepts. see Schema.
Schemas MLTransformSchemaArrayOutput `pulumi:"schemas"`
// Key-value map of resource tags
Tags pulumi.StringMapOutput `pulumi:"tags"`
// The ML Transform timeout in minutes. The default is 2880 minutes (48 hours).
Timeout pulumi.IntPtrOutput `pulumi:"timeout"`
// 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 `numberOfWorkers`.
WorkerType pulumi.StringPtrOutput `pulumi:"workerType"`
}
// NewMLTransform registers a new resource with the given unique name, arguments, and options.
func NewMLTransform(ctx *pulumi.Context,
name string, args *MLTransformArgs, opts ...pulumi.ResourceOption) (*MLTransform, error) {
if args == nil {
return nil, errors.New("missing one or more required arguments")
}
if args.InputRecordTables == nil {
return nil, errors.New("invalid value for required argument 'InputRecordTables'")
}
if args.Parameters == nil {
return nil, errors.New("invalid value for required argument 'Parameters'")
}
if args.RoleArn == nil {
return nil, errors.New("invalid value for required argument 'RoleArn'")
}
var resource MLTransform
err := ctx.RegisterResource("aws:glue/mLTransform:MLTransform", name, args, &resource, opts...)
if err != nil {
return nil, err
}
return &resource, nil
}
// GetMLTransform gets an existing MLTransform 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 GetMLTransform(ctx *pulumi.Context,
name string, id pulumi.IDInput, state *MLTransformState, opts ...pulumi.ResourceOption) (*MLTransform, error) {
var resource MLTransform
err := ctx.ReadResource("aws:glue/mLTransform:MLTransform", name, id, state, &resource, opts...)
if err != nil {
return nil, err
}
return &resource, nil
}
// Input properties used for looking up and filtering MLTransform resources.
type mltransformState struct {
// Amazon Resource Name (ARN) of Glue ML Transform.
Arn *string `pulumi:"arn"`
// Description of the ML Transform.
Description *string `pulumi:"description"`
// 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).
GlueVersion *string `pulumi:"glueVersion"`
// A list of AWS Glue table definitions used by the transform. see Input Record Tables.
InputRecordTables []MLTransformInputRecordTable `pulumi:"inputRecordTables"`
// The number of labels available for this transform.
LabelCount *int `pulumi:"labelCount"`
// 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`. `maxCapacity` is a mutually exclusive option with `numberOfWorkers` and `workerType`.
MaxCapacity *float64 `pulumi:"maxCapacity"`
// The maximum number of times to retry this ML Transform if it fails.
MaxRetries *int `pulumi:"maxRetries"`
// The name you assign to this ML Transform. It must be unique in your account.
Name *string `pulumi:"name"`
// The number of workers of a defined `workerType` that are allocated when an ML Transform runs. Required with `workerType`.
NumberOfWorkers *int `pulumi:"numberOfWorkers"`
// The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. see Parameters.
Parameters *MLTransformParameters `pulumi:"parameters"`
// The ARN of the IAM role associated with this ML Transform.
RoleArn *string `pulumi:"roleArn"`
// The object that represents the schema that this transform accepts. see Schema.
Schemas []MLTransformSchema `pulumi:"schemas"`
// Key-value map of resource tags
Tags map[string]string `pulumi:"tags"`
// The ML Transform timeout in minutes. The default is 2880 minutes (48 hours).
Timeout *int `pulumi:"timeout"`
// 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 `numberOfWorkers`.
WorkerType *string `pulumi:"workerType"`
}
type MLTransformState struct {
// Amazon Resource Name (ARN) of Glue ML Transform.
Arn pulumi.StringPtrInput
// Description of the ML Transform.
Description pulumi.StringPtrInput
// 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).
GlueVersion pulumi.StringPtrInput
// A list of AWS Glue table definitions used by the transform. see Input Record Tables.
InputRecordTables MLTransformInputRecordTableArrayInput
// The number of labels available for this transform.
LabelCount pulumi.IntPtrInput
// 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`. `maxCapacity` is a mutually exclusive option with `numberOfWorkers` and `workerType`.
MaxCapacity pulumi.Float64PtrInput
// The maximum number of times to retry this ML Transform if it fails.
MaxRetries pulumi.IntPtrInput
// The name you assign to this ML Transform. It must be unique in your account.
Name pulumi.StringPtrInput
// The number of workers of a defined `workerType` that are allocated when an ML Transform runs. Required with `workerType`.
NumberOfWorkers pulumi.IntPtrInput
// The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. see Parameters.
Parameters MLTransformParametersPtrInput
// The ARN of the IAM role associated with this ML Transform.
RoleArn pulumi.StringPtrInput
// The object that represents the schema that this transform accepts. see Schema.
Schemas MLTransformSchemaArrayInput
// Key-value map of resource tags
Tags pulumi.StringMapInput
// The ML Transform timeout in minutes. The default is 2880 minutes (48 hours).
Timeout pulumi.IntPtrInput
// 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 `numberOfWorkers`.
WorkerType pulumi.StringPtrInput
}
func (MLTransformState) ElementType() reflect.Type {
return reflect.TypeOf((*mltransformState)(nil)).Elem()
}
type mltransformArgs struct {
// Description of the ML Transform.
Description *string `pulumi:"description"`
// 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).
GlueVersion *string `pulumi:"glueVersion"`
// A list of AWS Glue table definitions used by the transform. see Input Record Tables.
InputRecordTables []MLTransformInputRecordTable `pulumi:"inputRecordTables"`
// 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`. `maxCapacity` is a mutually exclusive option with `numberOfWorkers` and `workerType`.
MaxCapacity *float64 `pulumi:"maxCapacity"`
// The maximum number of times to retry this ML Transform if it fails.
MaxRetries *int `pulumi:"maxRetries"`
// The name you assign to this ML Transform. It must be unique in your account.
Name *string `pulumi:"name"`
// The number of workers of a defined `workerType` that are allocated when an ML Transform runs. Required with `workerType`.
NumberOfWorkers *int `pulumi:"numberOfWorkers"`
// The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. see Parameters.
Parameters MLTransformParameters `pulumi:"parameters"`
// The ARN of the IAM role associated with this ML Transform.
RoleArn string `pulumi:"roleArn"`
// Key-value map of resource tags
Tags map[string]string `pulumi:"tags"`
// The ML Transform timeout in minutes. The default is 2880 minutes (48 hours).
Timeout *int `pulumi:"timeout"`
// 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 `numberOfWorkers`.
WorkerType *string `pulumi:"workerType"`
}
// The set of arguments for constructing a MLTransform resource.
type MLTransformArgs struct {
// Description of the ML Transform.
Description pulumi.StringPtrInput
// 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).
GlueVersion pulumi.StringPtrInput
// A list of AWS Glue table definitions used by the transform. see Input Record Tables.
InputRecordTables MLTransformInputRecordTableArrayInput
// 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`. `maxCapacity` is a mutually exclusive option with `numberOfWorkers` and `workerType`.
MaxCapacity pulumi.Float64PtrInput
// The maximum number of times to retry this ML Transform if it fails.
MaxRetries pulumi.IntPtrInput
// The name you assign to this ML Transform. It must be unique in your account.
Name pulumi.StringPtrInput
// The number of workers of a defined `workerType` that are allocated when an ML Transform runs. Required with `workerType`.
NumberOfWorkers pulumi.IntPtrInput
// The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. see Parameters.
Parameters MLTransformParametersInput
// The ARN of the IAM role associated with this ML Transform.
RoleArn pulumi.StringInput
// Key-value map of resource tags
Tags pulumi.StringMapInput
// The ML Transform timeout in minutes. The default is 2880 minutes (48 hours).
Timeout pulumi.IntPtrInput
// 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 `numberOfWorkers`.
WorkerType pulumi.StringPtrInput
}
func (MLTransformArgs) ElementType() reflect.Type {
return reflect.TypeOf((*mltransformArgs)(nil)).Elem()
}
type MLTransformInput interface {
pulumi.Input
ToMLTransformOutput() MLTransformOutput
ToMLTransformOutputWithContext(ctx context.Context) MLTransformOutput
}
func (*MLTransform) ElementType() reflect.Type {
return reflect.TypeOf((*MLTransform)(nil))
}
func (i *MLTransform) ToMLTransformOutput() MLTransformOutput {
return i.ToMLTransformOutputWithContext(context.Background())
}
func (i *MLTransform) ToMLTransformOutputWithContext(ctx context.Context) MLTransformOutput {
return pulumi.ToOutputWithContext(ctx, i).(MLTransformOutput)
}
func (i *MLTransform) ToMLTransformPtrOutput() MLTransformPtrOutput {
return i.ToMLTransformPtrOutputWithContext(context.Background())
}
func (i *MLTransform) ToMLTransformPtrOutputWithContext(ctx context.Context) MLTransformPtrOutput {
return pulumi.ToOutputWithContext(ctx, i).(MLTransformPtrOutput)
}
type MLTransformPtrInput interface {
pulumi.Input
ToMLTransformPtrOutput() MLTransformPtrOutput
ToMLTransformPtrOutputWithContext(ctx context.Context) MLTransformPtrOutput
}
type mltransformPtrType MLTransformArgs
func (*mltransformPtrType) ElementType() reflect.Type {
return reflect.TypeOf((**MLTransform)(nil))
}
func (i *mltransformPtrType) ToMLTransformPtrOutput() MLTransformPtrOutput {
return i.ToMLTransformPtrOutputWithContext(context.Background())
}
func (i *mltransformPtrType) ToMLTransformPtrOutputWithContext(ctx context.Context) MLTransformPtrOutput {
return pulumi.ToOutputWithContext(ctx, i).(MLTransformPtrOutput)
}
// MLTransformArrayInput is an input type that accepts MLTransformArray and MLTransformArrayOutput values.
// You can construct a concrete instance of `MLTransformArrayInput` via:
//
// MLTransformArray{ MLTransformArgs{...} }
type MLTransformArrayInput interface {
pulumi.Input
ToMLTransformArrayOutput() MLTransformArrayOutput
ToMLTransformArrayOutputWithContext(context.Context) MLTransformArrayOutput
}
type MLTransformArray []MLTransformInput
func (MLTransformArray) ElementType() reflect.Type {
return reflect.TypeOf(([]*MLTransform)(nil))
}
func (i MLTransformArray) ToMLTransformArrayOutput() MLTransformArrayOutput {
return i.ToMLTransformArrayOutputWithContext(context.Background())
}
func (i MLTransformArray) ToMLTransformArrayOutputWithContext(ctx context.Context) MLTransformArrayOutput {
return pulumi.ToOutputWithContext(ctx, i).(MLTransformArrayOutput)
}
// MLTransformMapInput is an input type that accepts MLTransformMap and MLTransformMapOutput values.
// You can construct a concrete instance of `MLTransformMapInput` via:
//
// MLTransformMap{ "key": MLTransformArgs{...} }
type MLTransformMapInput interface {
pulumi.Input
ToMLTransformMapOutput() MLTransformMapOutput
ToMLTransformMapOutputWithContext(context.Context) MLTransformMapOutput
}
type MLTransformMap map[string]MLTransformInput
func (MLTransformMap) ElementType() reflect.Type {
return reflect.TypeOf((map[string]*MLTransform)(nil))
}
func (i MLTransformMap) ToMLTransformMapOutput() MLTransformMapOutput {
return i.ToMLTransformMapOutputWithContext(context.Background())
}
func (i MLTransformMap) ToMLTransformMapOutputWithContext(ctx context.Context) MLTransformMapOutput {
return pulumi.ToOutputWithContext(ctx, i).(MLTransformMapOutput)
}
type MLTransformOutput struct {
*pulumi.OutputState
}
func (MLTransformOutput) ElementType() reflect.Type {
return reflect.TypeOf((*MLTransform)(nil))
}
func (o MLTransformOutput) ToMLTransformOutput() MLTransformOutput {
return o
}
func (o MLTransformOutput) ToMLTransformOutputWithContext(ctx context.Context) MLTransformOutput {
return o
}
func (o MLTransformOutput) ToMLTransformPtrOutput() MLTransformPtrOutput {
return o.ToMLTransformPtrOutputWithContext(context.Background())
}
func (o MLTransformOutput) ToMLTransformPtrOutputWithContext(ctx context.Context) MLTransformPtrOutput {
return o.ApplyT(func(v MLTransform) *MLTransform {
return &v
}).(MLTransformPtrOutput)
}
type MLTransformPtrOutput struct {
*pulumi.OutputState
}
func (MLTransformPtrOutput) ElementType() reflect.Type {
return reflect.TypeOf((**MLTransform)(nil))
}
func (o MLTransformPtrOutput) ToMLTransformPtrOutput() MLTransformPtrOutput {
return o
}
func (o MLTransformPtrOutput) ToMLTransformPtrOutputWithContext(ctx context.Context) MLTransformPtrOutput {
return o
}
type MLTransformArrayOutput struct{ *pulumi.OutputState }
func (MLTransformArrayOutput) ElementType() reflect.Type {
return reflect.TypeOf((*[]MLTransform)(nil))
}
func (o MLTransformArrayOutput) ToMLTransformArrayOutput() MLTransformArrayOutput {
return o
}
func (o MLTransformArrayOutput) ToMLTransformArrayOutputWithContext(ctx context.Context) MLTransformArrayOutput {
return o
}
func (o MLTransformArrayOutput) Index(i pulumi.IntInput) MLTransformOutput {
return pulumi.All(o, i).ApplyT(func(vs []interface{}) MLTransform {
return vs[0].([]MLTransform)[vs[1].(int)]
}).(MLTransformOutput)
}
type MLTransformMapOutput struct{ *pulumi.OutputState }
func (MLTransformMapOutput) ElementType() reflect.Type {
return reflect.TypeOf((*map[string]MLTransform)(nil))
}
func (o MLTransformMapOutput) ToMLTransformMapOutput() MLTransformMapOutput {
return o
}
func (o MLTransformMapOutput) ToMLTransformMapOutputWithContext(ctx context.Context) MLTransformMapOutput {
return o
}
func (o MLTransformMapOutput) MapIndex(k pulumi.StringInput) MLTransformOutput {
return pulumi.All(o, k).ApplyT(func(vs []interface{}) MLTransform {
return vs[0].(map[string]MLTransform)[vs[1].(string)]
}).(MLTransformOutput)
}
func init() {
pulumi.RegisterOutputType(MLTransformOutput{})
pulumi.RegisterOutputType(MLTransformPtrOutput{})
pulumi.RegisterOutputType(MLTransformArrayOutput{})
pulumi.RegisterOutputType(MLTransformMapOutput{})
}