blob: c1f4c0e7cc793218eff9f783983dffe017130d1d [file] [log] [blame]
:py:mod:`airflow.providers.google.cloud.example_dags.example_dataproc_metastore`
================================================================================
.. py:module:: airflow.providers.google.cloud.example_dags.example_dataproc_metastore
.. autoapi-nested-parse::
Example Airflow DAG that show how to use various Dataproc Metastore
operators to manage a service.
Module Contents
---------------
.. py:data:: PROJECT_ID
.. py:data:: SERVICE_ID
.. py:data:: BACKUP_ID
.. py:data:: REGION
.. py:data:: BUCKET
.. py:data:: METADATA_IMPORT_FILE
.. py:data:: GCS_URI
.. py:data:: METADATA_IMPORT_ID
:annotation: = dataproc-metastore-system-tests-metadata-import-1
.. py:data:: TIMEOUT
:annotation: = 1200
.. py:data:: DB_TYPE
:annotation: = MYSQL
.. py:data:: DESTINATION_GCS_FOLDER
.. py:data:: SERVICE
.. py:data:: SERVICE_TO_UPDATE
.. py:data:: UPDATE_MASK
.. py:data:: BACKUP
.. py:data:: METADATA_IMPORT
.. py:data:: create_service