CfnConfiguredTableMixinProps
- class aws_cdk.mixins_preview.aws_cleanrooms.mixins.CfnConfiguredTableMixinProps(*, allowed_columns=None, analysis_method=None, analysis_rules=None, description=None, name=None, selected_analysis_methods=None, table_reference=None, tags=None)
Bases:
objectProperties for CfnConfiguredTablePropsMixin.
- Parameters:
allowed_columns (
Optional[Sequence[str]]) – The columns within the underlying AWS Glue table that can be used within collaborations.analysis_method (
Optional[str]) – The analysis method for the configured table.DIRECT_QUERYallows SQL queries to be run directly on this table.DIRECT_JOBallows PySpark jobs to be run directly on this table.MULTIPLEallows both SQL queries and PySpark jobs to be run directly on this table.analysis_rules (
Union[IResolvable,Sequence[Union[IResolvable,AnalysisRuleProperty,Dict[str,Any]]],None]) – The analysis rule that was created for the configured table.description (
Optional[str]) – A description for the configured table.name (
Optional[str]) – A name for the configured table.selected_analysis_methods (
Optional[Sequence[str]]) – The selected analysis methods for the configured table.table_reference (
Union[IResolvable,TableReferenceProperty,Dict[str,Any],None]) – The table that this configured table represents.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_configured_table_mixin_props = cleanrooms_mixins.CfnConfiguredTableMixinProps( allowed_columns=["allowedColumns"], analysis_method="analysisMethod", analysis_rules=[cleanrooms_mixins.CfnConfiguredTablePropsMixin.AnalysisRuleProperty( policy=cleanrooms_mixins.CfnConfiguredTablePropsMixin.ConfiguredTableAnalysisRulePolicyProperty( v1=cleanrooms_mixins.CfnConfiguredTablePropsMixin.ConfiguredTableAnalysisRulePolicyV1Property( aggregation=cleanrooms_mixins.CfnConfiguredTablePropsMixin.AnalysisRuleAggregationProperty( additional_analyses="additionalAnalyses", aggregate_columns=[cleanrooms_mixins.CfnConfiguredTablePropsMixin.AggregateColumnProperty( column_names=["columnNames"], function="function" )], allowed_join_operators=["allowedJoinOperators"], dimension_columns=["dimensionColumns"], join_columns=["joinColumns"], join_required="joinRequired", output_constraints=[cleanrooms_mixins.CfnConfiguredTablePropsMixin.AggregationConstraintProperty( column_name="columnName", minimum=123, type="type" )], scalar_functions=["scalarFunctions"] ), custom=cleanrooms_mixins.CfnConfiguredTablePropsMixin.AnalysisRuleCustomProperty( additional_analyses="additionalAnalyses", allowed_analyses=["allowedAnalyses"], allowed_analysis_providers=["allowedAnalysisProviders"], differential_privacy=cleanrooms_mixins.CfnConfiguredTablePropsMixin.DifferentialPrivacyProperty( columns=[cleanrooms_mixins.CfnConfiguredTablePropsMixin.DifferentialPrivacyColumnProperty( name="name" )] ), disallowed_output_columns=["disallowedOutputColumns"] ), list=cleanrooms_mixins.CfnConfiguredTablePropsMixin.AnalysisRuleListProperty( additional_analyses="additionalAnalyses", allowed_join_operators=["allowedJoinOperators"], join_columns=["joinColumns"], list_columns=["listColumns"] ) ) ), type="type" )], description="description", name="name", selected_analysis_methods=["selectedAnalysisMethods"], table_reference=cleanrooms_mixins.CfnConfiguredTablePropsMixin.TableReferenceProperty( athena=cleanrooms_mixins.CfnConfiguredTablePropsMixin.AthenaTableReferenceProperty( database_name="databaseName", output_location="outputLocation", region="region", table_name="tableName", work_group="workGroup" ), glue=cleanrooms_mixins.CfnConfiguredTablePropsMixin.GlueTableReferenceProperty( database_name="databaseName", region="region", table_name="tableName" ), snowflake=cleanrooms_mixins.CfnConfiguredTablePropsMixin.SnowflakeTableReferenceProperty( account_identifier="accountIdentifier", database_name="databaseName", schema_name="schemaName", secret_arn="secretArn", table_name="tableName", table_schema=cleanrooms_mixins.CfnConfiguredTablePropsMixin.SnowflakeTableSchemaProperty( v1=[cleanrooms_mixins.CfnConfiguredTablePropsMixin.SnowflakeTableSchemaV1Property( column_name="columnName", column_type="columnType" )] ) ) ), tags=[CfnTag( key="key", value="value" )] )
Attributes
- allowed_columns
The columns within the underlying AWS Glue table that can be used within collaborations.
- analysis_method
The analysis method for the configured table.
DIRECT_QUERYallows SQL queries to be run directly on this table.DIRECT_JOBallows PySpark jobs to be run directly on this table.MULTIPLEallows both SQL queries and PySpark jobs to be run directly on this table.
- analysis_rules
The analysis rule that was created for the configured table.
- description
A description for the configured table.
- name
A name for the configured table.
- selected_analysis_methods
The selected analysis methods for the configured table.
- table_reference
The table that this configured table represents.
- 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.