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From GitBox <...@apache.org>
Subject [GitHub] [airflow] ryanyuan commented on a change in pull request #5711: [AIRFLOW-4161] BigQuery to Mysql Operator
Date Tue, 06 Aug 2019 08:19:37 GMT
ryanyuan commented on a change in pull request #5711: [AIRFLOW-4161] BigQuery to Mysql Operator
URL: https://github.com/apache/airflow/pull/5711#discussion_r310464556
 
 

 ##########
 File path: airflow/contrib/operators/bigquery_to_mysql_operator.py
 ##########
 @@ -0,0 +1,143 @@
+# -*- coding: utf-8 -*-
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""
+This module contains a Google BigQuery to MySQL operator.
+"""
+
+from airflow.contrib.hooks.bigquery_hook import BigQueryHook
+from airflow.models import BaseOperator
+from airflow.utils.decorators import apply_defaults
+from airflow.hooks.mysql_hook import MySqlHook
+
+
+class BigQueryToMySqlOperator(BaseOperator):
+    """
+    Fetches the data from a BigQuery table (alternatively fetch data for selected columns)
+    and insert that data into a MySQL table.
+
+
+    .. note::
+        If you pass fields to ``selected_fields`` which are in different order than the
+        order of columns already in
+        BQ table, the data will still be in the order of BQ table.
+        For example if the BQ table has 3 columns as
+        ``[A,B,C]`` and you pass 'B,A' in the ``selected_fields``
+        the data would still be of the form ``'A,B'`` and passed through this form
+        to MySQL
+
+    **Example**: ::
+
+       transfer_data = BigQueryToMySqlOperator(
+            task_id='task_id',
+            dataset_id='dataset_id',
+            table_id='table_name',
+            mysql_table='dest_table_name',
+            replace=True,
+        )
+
+    :param dataset_id: The dataset ID of the requested table. (templated)
+    :type dataset_id: string
+    :param table_id: The table ID of the requested table. (templated)
+    :type table_id: string
+    :param max_results: The maximum number of records (rows) to be fetched
+        from the table. (templated)
+    :type max_results: string
+    :param selected_fields: List of fields to return (comma-separated). If
+        unspecified, all fields are returned.
+    :type selected_fields: string
+    :param bigquery_conn_id: reference to a specific BigQuery hook.
+    :type bigquery_conn_id: string
+    :param delegate_to: The account to impersonate, if any.
+        For this to work, the service account making the request must have domain-wide
+        delegation enabled.
+    :type delegate_to: string
+    :param mysql_conn_id: reference to a specific mysql hook
+    :type mysql_conn_id: string
+    :param database: name of database which overwrite defined one in connection
+    :type database: string
+    :param replace: Whether to replace instead of insert
+    :type replace: bool
+    """
+    template_fields = ('dataset_id', 'table_id', 'mysql_table')
+
+    @apply_defaults
+    def __init__(self,
+                 dataset_id,
+                 table_id,
+                 mysql_table,
+                 selected_fields=None,
+                 bigquery_conn_id='bigquery_default',
+                 mysql_conn_id='mysql_default',
 
 Review comment:
   Is it better to use 'google_cloud_default' as conn_id here because we've already unified
all the GCP conn_id?
   Reference: https://github.com/apache/airflow/pull/4818

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