CfnAnalysisTemplateMixinProps
- class aws_cdk.mixins_preview.aws_cleanrooms.mixins.CfnAnalysisTemplateMixinProps(*, analysis_parameters=None, description=None, error_message_configuration=None, format=None, membership_identifier=None, name=None, schema=None, source=None, source_metadata=None, tags=None)
Bases:
objectProperties for CfnAnalysisTemplatePropsMixin.
- Parameters:
analysis_parameters (
Union[IResolvable,Sequence[Union[IResolvable,AnalysisParameterProperty,Dict[str,Any]]],None]) – The parameters of the analysis template.description (
Optional[str]) – The description of the analysis template.error_message_configuration (
Union[IResolvable,ErrorMessageConfigurationProperty,Dict[str,Any],None]) – The configuration that specifies the level of detail in error messages returned by analyses using this template. When set toDETAILED, error messages include more information to help troubleshoot issues with PySpark jobs. Detailed error messages may expose underlying data, including sensitive information. Recommended for faster troubleshooting in development and testing environments.format (
Optional[str]) – The format of the analysis template.membership_identifier (
Optional[str]) – The identifier for a membership resource.name (
Optional[str]) – The name of the analysis template.schema (
Union[IResolvable,AnalysisSchemaProperty,Dict[str,Any],None]) – The entire schema object.source (
Union[IResolvable,AnalysisSourceProperty,Dict[str,Any],None]) – The source of the analysis template.source_metadata (
Union[IResolvable,AnalysisSourceMetadataProperty,Dict[str,Any],None]) – The source metadata for the analysis template.tags (
Optional[Sequence[Union[CfnTag,Dict[str,Any]]]]) – An optional label that you can assign to a resource when you create it. Each tag consists of a key and an optional value, both of which you define. When you use tagging, you can also use tag-based access control in IAM policies to control access to this resource.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_cleanrooms import mixins as cleanrooms_mixins cfn_analysis_template_mixin_props = cleanrooms_mixins.CfnAnalysisTemplateMixinProps( analysis_parameters=[cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisParameterProperty( default_value="defaultValue", name="name", type="type" )], description="description", error_message_configuration=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.ErrorMessageConfigurationProperty( type="type" ), format="format", membership_identifier="membershipIdentifier", name="name", schema=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisSchemaProperty( referenced_tables=["referencedTables"] ), source=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisSourceProperty( artifacts=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisTemplateArtifactsProperty( additional_artifacts=[cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisTemplateArtifactProperty( location=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.S3LocationProperty( bucket="bucket", key="key" ) )], entry_point=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisTemplateArtifactProperty( location=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.S3LocationProperty( bucket="bucket", key="key" ) ), role_arn="roleArn" ), text="text" ), source_metadata=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisSourceMetadataProperty( artifacts=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.AnalysisTemplateArtifactMetadataProperty( additional_artifact_hashes=[cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.HashProperty( sha256="sha256" )], entry_point_hash=cleanrooms_mixins.CfnAnalysisTemplatePropsMixin.HashProperty( sha256="sha256" ) ) ), tags=[CfnTag( key="key", value="value" )] )
Attributes
- analysis_parameters
The parameters of the analysis template.
- description
The description of the analysis template.
- error_message_configuration
The configuration that specifies the level of detail in error messages returned by analyses using this template.
When set to
DETAILED, error messages include more information to help troubleshoot issues with PySpark jobs. Detailed error messages may expose underlying data, including sensitive information. Recommended for faster troubleshooting in development and testing environments.
- format
The format of the analysis template.
- membership_identifier
The identifier for a membership resource.
- name
The name of the analysis template.
- schema
The entire schema object.
- source
The source of the analysis template.
- source_metadata
The source metadata for the analysis template.
- tags
An optional label that you can assign to a resource when you create it.
Each tag consists of a key and an optional value, both of which you define. When you use tagging, you can also use tag-based access control in IAM policies to control access to this resource.