DataQualityGlueTable ¶

class DataQualityGlueTable(TypedDict, closed=True):
    database_name: "capo_glue.types.name_string.NameString"
    """<p>A database name in the Glue Data Catalog.</p>"""
    table_name: "capo_glue.types.name_string.NameString"
    """<p>A table name in the Glue Data Catalog.</p>"""
    catalog_id: NotRequired["capo_glue.types.name_string.NameString"]
    """<p>A unique identifier for the Glue Data Catalog.</p>"""
    connection_name: NotRequired["capo_glue.types.name_string.NameString"]
    """<p>The name of the connection to the Glue Data Catalog.</p>"""
    additional_options: NotRequired[
        "capo_glue.types.glue_table_additional_options.GlueTableAdditionalOptions"
    ]
    """<p>Additional options for the table. Currently there are two keys supported:</p> <ul> <li> <p> <code>pushDownPredicate</code>: to filter on partitions without having to list and read all the files in your dataset.</p> </li> <li> <p> <code>catalogPartitionPredicate</code>: to use server-side partition pruning using partition indexes in the Glue Data Catalog.</p> </li> </ul>"""
    pre_processing_query: NotRequired[
        "capo_glue.types.pre_processing_query_string.PreProcessingQueryString"
    ]
    """<p>SQL Query of SparkSQL format that can be used to pre-process the data for the table in Glue Data Catalog, before running the Data Quality Operation.</p>"""