awscleanroomsml

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 Go to latest Published: Jan 11, 2025 License: Apache-2.0 Imports: 7 Imported by: 0

README

AWS::CleanRoomsML Construct Library

---

All classes with the Cfn prefix in this module (CFN Resources) are always stable and safe to use.

This module is part of the AWS Cloud Development Kit project.

import cleanroomsml "github.com/aws/aws-cdk-go/awscdk"

There are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:

There are no hand-written (L2) constructs for this service yet. However, you can still use the automatically generated L1 constructs, and use this service exactly as you would using CloudFormation directly.

For more information on the resources and properties available for this service, see the CloudFormation documentation for AWS::CleanRoomsML.

(Read the CDK Contributing Guide and submit an RFC if you are interested in contributing to this construct library.)

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func CfnTrainingDataset_CFN_RESOURCE_TYPE_NAME 

func CfnTrainingDataset_CFN_RESOURCE_TYPE_NAME() *string

func CfnTrainingDataset_IsCfnElement 

func CfnTrainingDataset_IsCfnElement(x interface{}) *bool

Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of `instanceof` to allow stack elements from different versions of this library to be included in the same stack.

Returns: The construct as a stack element or undefined if it is not a stack element.

func CfnTrainingDataset_IsCfnResource 

func CfnTrainingDataset_IsCfnResource(x interface{}) *bool

Check whether the given object is a CfnResource.

func CfnTrainingDataset_IsConstruct 

func CfnTrainingDataset_IsConstruct(x interface{}) *bool

Checks if `x` is a construct.

Use this method instead of `instanceof` to properly detect `Construct` instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the `constructs` library on disk are seen as independent, completely different libraries. As a consequence, the class `Construct` in each copy of the `constructs` library is seen as a different class, and an instance of one class will not test as `instanceof` the other class. `npm install` will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the `constructs` library can be accidentally installed, and `instanceof` will behave unpredictably. It is safest to avoid using `instanceof`, and using this type-testing method instead.

Returns: true if `x` is an object created from a class which extends `Construct`.

func NewCfnTrainingDataset_Override 

func NewCfnTrainingDataset_Override(c CfnTrainingDataset, scope constructs.Construct, id *string, props *CfnTrainingDatasetProps)

Types

type CfnTrainingDataset 

type CfnTrainingDataset interface {
	awscdk.CfnResource
	awscdk.IInspectable
	awscdk.ITaggableV2
	// The status of the training dataset.
	AttrStatus() *string
	// The Amazon Resource Name (ARN) of the training dataset.
	AttrTrainingDatasetArn() *string
	// Tag Manager which manages the tags for this resource.
	CdkTagManager() awscdk.TagManager
	// Options for this resource, such as condition, update policy etc.
	CfnOptions() awscdk.ICfnResourceOptions
	CfnProperties() *map[string]interface{}
	// AWS resource type.
	CfnResourceType() *string
	// Returns: the stack trace of the point where this Resource was created from, sourced
	// from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most
	// node +internal+ entries filtered.
	CreationStack() *[]*string
	// The description of the training dataset.
	Description() *string
	SetDescription(val *string)
	// The logical ID for this CloudFormation stack element.
	//
	// The logical ID of the element
	// is calculated from the path of the resource node in the construct tree.
	//
	// To override this value, use `overrideLogicalId(newLogicalId)`.
	//
	// Returns: the logical ID as a stringified token. This value will only get
	// resolved during synthesis.
	LogicalId() *string
	// The name of the training dataset.
	Name() *string
	SetName(val *string)
	// The tree node.
	Node() constructs.Node
	// Return a string that will be resolved to a CloudFormation `{ Ref }` for this element.
	//
	// If, by any chance, the intrinsic reference of a resource is not a string, you could
	// coerce it to an IResolvable through `Lazy.any({ produce: resource.ref })`.
	Ref() *string
	// The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.
	RoleArn() *string
	SetRoleArn(val *string)
	// The stack in which this element is defined.
	//
	// CfnElements must be defined within a stack scope (directly or indirectly).
	Stack() awscdk.Stack
	// The optional metadata that you apply to the resource to help you categorize and organize them.
	Tags() *[]*awscdk.CfnTag
	SetTags(val *[]*awscdk.CfnTag)
	// An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema.
	TrainingData() interface{}
	SetTrainingData(val interface{})
	// Deprecated.
	// Deprecated: use `updatedProperties`
	//
	// Return properties modified after initiation
	//
	// Resources that expose mutable properties should override this function to
	// collect and return the properties object for this resource.
	UpdatedProperites() *map[string]interface{}
	// Return properties modified after initiation.
	//
	// Resources that expose mutable properties should override this function to
	// collect and return the properties object for this resource.
	UpdatedProperties() *map[string]interface{}
	// Syntactic sugar for `addOverride(path, undefined)`.
	AddDeletionOverride(path *string)
	// Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
	//
	// This can be used for resources across stacks (or nested stack) boundaries
	// and the dependency will automatically be transferred to the relevant scope.
	AddDependency(target awscdk.CfnResource)
	// Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
	// Deprecated: use addDependency.
	AddDependsOn(target awscdk.CfnResource)
	// Add a value to the CloudFormation Resource Metadata.
	// See: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
	//
	// Note that this is a different set of metadata from CDK node metadata; this
	// metadata ends up in the stack template under the resource, whereas CDK
	// node metadata ends up in the Cloud Assembly.
	//
	AddMetadata(key *string, value interface{})
	// Adds an override to the synthesized CloudFormation resource.
	//
	// To add a
	// property override, either use `addPropertyOverride` or prefix `path` with
	// "Properties." (i.e. `Properties.TopicName`).
	//
	// If the override is nested, separate each nested level using a dot (.) in the path parameter.
	// If there is an array as part of the nesting, specify the index in the path.
	//
	// To include a literal `.` in the property name, prefix with a `\`. In most
	// programming languages you will need to write this as `"\\."` because the
	// `\` itself will need to be escaped.
	//
	// For example,
	// “`typescript
	// cfnResource.addOverride('Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes', ['myattribute']);
	// cfnResource.addOverride('Properties.GlobalSecondaryIndexes.1.ProjectionType', 'INCLUDE');
	// “`
	// would add the overrides
	// “`json
	// "Properties": {
	//   "GlobalSecondaryIndexes": [
	//     {
	//       "Projection": {
	//         "NonKeyAttributes": [ "myattribute" ]
	//         ...
	//       }
	//       ...
	//     },
	//     {
	//       "ProjectionType": "INCLUDE"
	//       ...
	//     },
	//   ]
	//   ...
	// }
	// “`
	//
	// The `value` argument to `addOverride` will not be processed or translated
	// in any way. Pass raw JSON values in here with the correct capitalization
	// for CloudFormation. If you pass CDK classes or structs, they will be
	// rendered with lowercased key names, and CloudFormation will reject the
	// template.
	AddOverride(path *string, value interface{})
	// Adds an override that deletes the value of a property from the resource definition.
	AddPropertyDeletionOverride(propertyPath *string)
	// Adds an override to a resource property.
	//
	// Syntactic sugar for `addOverride("Properties.<...>", value)`.
	AddPropertyOverride(propertyPath *string, value interface{})
	// Sets the deletion policy of the resource based on the removal policy specified.
	//
	// The Removal Policy controls what happens to this resource when it stops
	// being managed by CloudFormation, either because you've removed it from the
	// CDK application or because you've made a change that requires the resource
	// to be replaced.
	//
	// The resource can be deleted (`RemovalPolicy.DESTROY`), or left in your AWS
	// account for data recovery and cleanup later (`RemovalPolicy.RETAIN`). In some
	// cases, a snapshot can be taken of the resource prior to deletion
	// (`RemovalPolicy.SNAPSHOT`). A list of resources that support this policy
	// can be found in the following link:.
	// See: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html#aws-attribute-deletionpolicy-options
	//
	ApplyRemovalPolicy(policy awscdk.RemovalPolicy, options *awscdk.RemovalPolicyOptions)
	// Returns a token for an runtime attribute of this resource.
	//
	// Ideally, use generated attribute accessors (e.g. `resource.arn`), but this can be used for future compatibility
	// in case there is no generated attribute.
	GetAtt(attributeName *string, typeHint awscdk.ResolutionTypeHint) awscdk.Reference
	// Retrieve a value value from the CloudFormation Resource Metadata.
	// See: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
	//
	// Note that this is a different set of metadata from CDK node metadata; this
	// metadata ends up in the stack template under the resource, whereas CDK
	// node metadata ends up in the Cloud Assembly.
	//
	GetMetadata(key *string) interface{}
	// Examines the CloudFormation resource and discloses attributes.
	Inspect(inspector awscdk.TreeInspector)
	// Retrieves an array of resources this resource depends on.
	//
	// This assembles dependencies on resources across stacks (including nested stacks)
	// automatically.
	ObtainDependencies() *[]interface{}
	// Get a shallow copy of dependencies between this resource and other resources in the same stack.
	ObtainResourceDependencies() *[]awscdk.CfnResource
	// Overrides the auto-generated logical ID with a specific ID.
	OverrideLogicalId(newLogicalId *string)
	// Indicates that this resource no longer depends on another resource.
	//
	// This can be used for resources across stacks (including nested stacks)
	// and the dependency will automatically be removed from the relevant scope.
	RemoveDependency(target awscdk.CfnResource)
	RenderProperties(props *map[string]interface{}) *map[string]interface{}
	// Replaces one dependency with another.
	ReplaceDependency(target awscdk.CfnResource, newTarget awscdk.CfnResource)
	// Can be overridden by subclasses to determine if this resource will be rendered into the cloudformation template.
	//
	// Returns: `true` if the resource should be included or `false` is the resource
	// should be omitted.
	ShouldSynthesize() *bool
	// Returns a string representation of this construct.
	//
	// Returns: a string representation of this resource.
	ToString() *string
	ValidateProperties(_properties interface{})
}

Defines the information necessary to create a training dataset.

In Clean Rooms ML, the `TrainingDataset` is metadata that points to a Glue table, which is read only during `AudienceModel` creation.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

cfnTrainingDataset := awscdk.Aws_cleanroomsml.NewCfnTrainingDataset(this, jsii.String("MyCfnTrainingDataset"), &CfnTrainingDatasetProps{
	Name: jsii.String("name"),
	RoleArn: jsii.String("roleArn"),
	TrainingData: []interface{}{
		&DatasetProperty{
			InputConfig: &DatasetInputConfigProperty{
				DataSource: &DataSourceProperty{
					GlueDataSource: &GlueDataSourceProperty{
						DatabaseName: jsii.String("databaseName"),
						TableName: jsii.String("tableName"),

						// the properties below are optional
						CatalogId: jsii.String("catalogId"),
					},
				},
				Schema: []interface{}{
					&ColumnSchemaProperty{
						ColumnName: jsii.String("columnName"),
						ColumnTypes: []*string{
							jsii.String("columnTypes"),
						},
					},
				},
			},
			Type: jsii.String("type"),
		},
	},

	// the properties below are optional
	Description: jsii.String("description"),
	Tags: []cfnTag{
		&cfnTag{
			Key: jsii.String("key"),
			Value: jsii.String("value"),
		},
	},
})

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html

func NewCfnTrainingDataset 

func NewCfnTrainingDataset(scope constructs.Construct, id *string, props *CfnTrainingDatasetProps) CfnTrainingDataset

type CfnTrainingDatasetProps 

type CfnTrainingDatasetProps struct {
	// The name of the training dataset.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html#cfn-cleanroomsml-trainingdataset-name
	//
	Name *string `field:"required" json:"name" yaml:"name"`
	// The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the `dataSource` field of each dataset.
	//
	// Passing a role across accounts is not allowed. If you pass a role that isn't in your account, you get an `AccessDeniedException` error.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html#cfn-cleanroomsml-trainingdataset-rolearn
	//
	RoleArn *string `field:"required" json:"roleArn" yaml:"roleArn"`
	// An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema.
	//
	// You must provide a role that has read access to these tables.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html#cfn-cleanroomsml-trainingdataset-trainingdata
	//
	TrainingData interface{} `field:"required" json:"trainingData" yaml:"trainingData"`
	// The description of the training dataset.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html#cfn-cleanroomsml-trainingdataset-description
	//
	Description *string `field:"optional" json:"description" yaml:"description"`
	// The optional metadata that you apply to the resource to help you categorize and organize them.
	//
	// Each tag consists of a key and an optional value, both of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	// - Maximum number of tags per resource - 50.
	// - For each resource, each tag key must be unique, and each tag key can have only one value.
	// - Maximum key length - 128 Unicode characters in UTF-8.
	// - Maximum value length - 256 Unicode characters in UTF-8.
	// - If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : /
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html#cfn-cleanroomsml-trainingdataset-tags
	//
	Tags *[]*awscdk.CfnTag `field:"optional" json:"tags" yaml:"tags"`
}

Properties for defining a `CfnTrainingDataset`.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

cfnTrainingDatasetProps := &CfnTrainingDatasetProps{
	Name: jsii.String("name"),
	RoleArn: jsii.String("roleArn"),
	TrainingData: []interface{}{
		&DatasetProperty{
			InputConfig: &DatasetInputConfigProperty{
				DataSource: &DataSourceProperty{
					GlueDataSource: &GlueDataSourceProperty{
						DatabaseName: jsii.String("databaseName"),
						TableName: jsii.String("tableName"),

						// the properties below are optional
						CatalogId: jsii.String("catalogId"),
					},
				},
				Schema: []interface{}{
					&ColumnSchemaProperty{
						ColumnName: jsii.String("columnName"),
						ColumnTypes: []*string{
							jsii.String("columnTypes"),
						},
					},
				},
			},
			Type: jsii.String("type"),
		},
	},

	// the properties below are optional
	Description: jsii.String("description"),
	Tags: []cfnTag{
		&cfnTag{
			Key: jsii.String("key"),
			Value: jsii.String("value"),
		},
	},
}

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-cleanroomsml-trainingdataset.html

type CfnTrainingDataset_ColumnSchemaProperty 

type CfnTrainingDataset_ColumnSchemaProperty struct {
	// The name of a column.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-columnschema.html#cfn-cleanroomsml-trainingdataset-columnschema-columnname
	//
	ColumnName *string `field:"required" json:"columnName" yaml:"columnName"`
	// The data type of column.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-columnschema.html#cfn-cleanroomsml-trainingdataset-columnschema-columntypes
	//
	ColumnTypes *[]*string `field:"required" json:"columnTypes" yaml:"columnTypes"`
}

Metadata for a column.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

columnSchemaProperty := &ColumnSchemaProperty{
	ColumnName: jsii.String("columnName"),
	ColumnTypes: []*string{
		jsii.String("columnTypes"),
	},
}

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-columnschema.html

type CfnTrainingDataset_DataSourceProperty 

type CfnTrainingDataset_DataSourceProperty struct {
	// A GlueDataSource object that defines the catalog ID, database name, and table name for the training data.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-datasource.html#cfn-cleanroomsml-trainingdataset-datasource-gluedatasource
	//
	GlueDataSource interface{} `field:"required" json:"glueDataSource" yaml:"glueDataSource"`
}

Defines information about the Glue data source that contains the training data.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

dataSourceProperty := &DataSourceProperty{
	GlueDataSource: &GlueDataSourceProperty{
		DatabaseName: jsii.String("databaseName"),
		TableName: jsii.String("tableName"),

		// the properties below are optional
		CatalogId: jsii.String("catalogId"),
	},
}

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-datasource.html

type CfnTrainingDataset_DatasetInputConfigProperty 

type CfnTrainingDataset_DatasetInputConfigProperty struct {
	// A DataSource object that specifies the Glue data source for the training data.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-datasetinputconfig.html#cfn-cleanroomsml-trainingdataset-datasetinputconfig-datasource
	//
	DataSource interface{} `field:"required" json:"dataSource" yaml:"dataSource"`
	// The schema information for the training data.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-datasetinputconfig.html#cfn-cleanroomsml-trainingdataset-datasetinputconfig-schema
	//
	Schema interface{} `field:"required" json:"schema" yaml:"schema"`
}

Defines the Glue data source and schema mapping information.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

datasetInputConfigProperty := &DatasetInputConfigProperty{
	DataSource: &DataSourceProperty{
		GlueDataSource: &GlueDataSourceProperty{
			DatabaseName: jsii.String("databaseName"),
			TableName: jsii.String("tableName"),

			// the properties below are optional
			CatalogId: jsii.String("catalogId"),
		},
	},
	Schema: []interface{}{
		&ColumnSchemaProperty{
			ColumnName: jsii.String("columnName"),
			ColumnTypes: []*string{
				jsii.String("columnTypes"),
			},
		},
	},
}

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-datasetinputconfig.html

type CfnTrainingDataset_DatasetProperty 

type CfnTrainingDataset_DatasetProperty struct {
	// A DatasetInputConfig object that defines the data source and schema mapping.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-dataset.html#cfn-cleanroomsml-trainingdataset-dataset-inputconfig
	//
	InputConfig interface{} `field:"required" json:"inputConfig" yaml:"inputConfig"`
	// What type of information is found in the dataset.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-dataset.html#cfn-cleanroomsml-trainingdataset-dataset-type
	//
	Type *string `field:"required" json:"type" yaml:"type"`
}

Defines where the training dataset is located, what type of data it contains, and how to access the data.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

datasetProperty := &DatasetProperty{
	InputConfig: &DatasetInputConfigProperty{
		DataSource: &DataSourceProperty{
			GlueDataSource: &GlueDataSourceProperty{
				DatabaseName: jsii.String("databaseName"),
				TableName: jsii.String("tableName"),

				// the properties below are optional
				CatalogId: jsii.String("catalogId"),
			},
		},
		Schema: []interface{}{
			&ColumnSchemaProperty{
				ColumnName: jsii.String("columnName"),
				ColumnTypes: []*string{
					jsii.String("columnTypes"),
				},
			},
		},
	},
	Type: jsii.String("type"),
}

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-dataset.html

type CfnTrainingDataset_GlueDataSourceProperty 

type CfnTrainingDataset_GlueDataSourceProperty struct {
	// The Glue database that contains the training data.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-gluedatasource.html#cfn-cleanroomsml-trainingdataset-gluedatasource-databasename
	//
	DatabaseName *string `field:"required" json:"databaseName" yaml:"databaseName"`
	// The Glue table that contains the training data.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-gluedatasource.html#cfn-cleanroomsml-trainingdataset-gluedatasource-tablename
	//
	TableName *string `field:"required" json:"tableName" yaml:"tableName"`
	// The Glue catalog that contains the training data.
	// See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-gluedatasource.html#cfn-cleanroomsml-trainingdataset-gluedatasource-catalogid
	//
	CatalogId *string `field:"optional" json:"catalogId" yaml:"catalogId"`
}

Defines the Glue data source that contains the training data.

Example: 

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"

glueDataSourceProperty := &GlueDataSourceProperty{
	DatabaseName: jsii.String("databaseName"),
	TableName: jsii.String("tableName"),

	// the properties below are optional
	CatalogId: jsii.String("catalogId"),
}

See: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanroomsml-trainingdataset-gluedatasource.html

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