AWS::CleanRooms::AnalysisTemplateCreates a new analysis template.
import { CfnAnalysisTemplate } from 'aws-cdk-lib/aws-cleanrooms';Or use the module namespace:
import * as cleanrooms from 'aws-cdk-lib/aws-cleanrooms';
// cleanrooms.CfnAnalysisTemplateConfiguration passed to the constructor as CfnAnalysisTemplateProps.
formatRequiredstringThe format of the analysis template.
membershipIdentifierRequiredstringThe identifier for a membership resource.
nameRequiredstringThe name of the analysis template.
sourceRequiredIResolvable | AnalysisSourcePropertyThe source of the analysis template.
analysisParametersOptionalIResolvable | IResolvable | AnalysisParameterProperty[]The parameters of the analysis template.
descriptionOptionalstringThe description of the analysis template.
errorMessageConfigurationOptionalIResolvable | ErrorMessageConfigurationPropertyThe 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.
schemaOptionalIResolvable | AnalysisSchemaPropertyThe entire schema object.
sourceMetadataOptionalIResolvable | AnalysisSourceMetadataPropertyThe source metadata for the analysis template.
syntheticDataParametersOptionalIResolvable | SyntheticDataParametersPropertyThe parameters used to generate synthetic data for this analysis template.
tagsOptionalCfnTag[]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.
This L1 construct maps directly to the following CloudFormation resource type.
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