docs-archive/apache-airflow/1.10.14/_sources/_api/airflow/operators/mysql_to_hive/index.rst.txt

:mod:`airflow.operators.mysql_to_hive`
======================================

.. py:module:: airflow.operators.mysql_to_hive


Module Contents
---------------

.. py:class:: MySqlToHiveTransfer(sql, hive_table, create=True, recreate=False, partition=None, delimiter=chr(1), mysql_conn_id='mysql_default', hive_cli_conn_id='hive_cli_default', tblproperties=None, *args, **kwargs)

   Bases: :class:`airflow.models.BaseOperator`

   Moves data from MySql to Hive. The operator runs your query against
   MySQL, stores the file locally before loading it into a Hive table.
   If the ``create`` or ``recreate`` arguments are set to ``True``,
   a ``CREATE TABLE`` and ``DROP TABLE`` statements are generated.
   Hive data types are inferred from the cursor's metadata. Note that the
   table generated in Hive uses ``STORED AS textfile``
   which isn't the most efficient serialization format. If a
   large amount of data is loaded and/or if the table gets
   queried considerably, you may want to use this operator only to
   stage the data into a temporary table before loading it into its
   final destination using a ``HiveOperator``.

   :param sql: SQL query to execute against the MySQL database. (templated)
   :type sql: str
   :param hive_table: target Hive table, use dot notation to target a
       specific database. (templated)
   :type hive_table: str
   :param create: whether to create the table if it doesn't exist
   :type create: bool
   :param recreate: whether to drop and recreate the table at every
       execution
   :type recreate: bool
   :param partition: target partition as a dict of partition columns
       and values. (templated)
   :type partition: dict
   :param delimiter: field delimiter in the file
   :type delimiter: str
   :param mysql_conn_id: source mysql connection
   :type mysql_conn_id: str
   :param hive_conn_id: destination hive connection
   :type hive_conn_id: str
   :param tblproperties: TBLPROPERTIES of the hive table being created
   :type tblproperties: dict

   .. attribute:: template_fields
      :annotation: = ['sql', 'partition', 'hive_table']

      

   .. attribute:: template_ext
      :annotation: = ['.sql']

      

   .. attribute:: ui_color
      :annotation: = #a0e08c

      

   
   .. classmethod:: type_map(cls, mysql_type)



   
   .. method:: execute(self, context)