awswrangler.athena.show_create_table

awswrangler.athena.show_create_table(table: str, database: str | None = None, s3_output: str | None = None, workgroup: str = 'primary', encryption: str | None = None, kms_key: str | None = None, athena_query_wait_polling_delay: float = 1.0, s3_additional_kwargs: dict[str, Any] | None = None, boto3_session: Session | None = None) → str

Generate the query that created it: ‘SHOW CREATE TABLE table;’.

Analyzes an existing table named table_name to generate the query that created it.

Note

Create the default Athena bucket if it doesn’t exist and s3_output is None. (E.g. s3://aws-athena-query-results-ACCOUNT-REGION/)

Note

Following arguments are not supported in distributed mode with engine EngineEnum.RAY:

  • boto3_session

Note

This function has arguments which can be configured globally through wr.config or environment variables:

  • database

  • athena_query_wait_polling_delay

  • workgroup

Check out the Global Configurations Tutorial for details.

Parameters:

  • table (str) – Table name.

  • database (str, optional) – AWS Glue/Athena database name.

  • s3_output (str, optional) – AWS S3 path.

  • workgroup (str) – Athena workgroup. Primary by default.

  • encryption (str, optional) – None, ‘SSE_S3’, ‘SSE_KMS’, ‘CSE_KMS’.

  • kms_key (str, optional) – For SSE-KMS and CSE-KMS , this is the KMS key ARN or ID.

  • athena_query_wait_polling_delay (float, default: 0.25 seconds) – Interval in seconds for how often the function will check if the Athena query has completed.

  • s3_additional_kwargs (dict[str, Any]) – Forwarded to botocore requests. e.g. s3_additional_kwargs={‘RequestPayer’: ‘requester’}

  • boto3_session (boto3.Session(), optional) – Boto3 Session. The default boto3 session will be used if boto3_session receive None.

Returns:

The query that created the table.

Return type:

str

Examples

>>> import awswrangler as wr
>>> df_table = wr.athena.show_create_table(table='my_table', database='default')