docs-archive/apache-airflow-providers-apache-hive/1.0.0/_sources/_api/airflow/providers/apache/hive/transfers/vertica_to_hive/index.rst.txt

:mod:`airflow.providers.apache.hive.transfers.vertica_to_hive`
==============================================================

.. py:module:: airflow.providers.apache.hive.transfers.vertica_to_hive

.. autoapi-nested-parse::

   This module contains operator to move data from Vertica to Hive.



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

.. py:class:: VerticaToHiveOperator(*, sql, hive_table, create=True, recreate=False, partition=None, delimiter=chr(1), vertica_conn_id='vertica_default', hive_cli_conn_id='hive_cli_default', **kwargs)

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

   Moves data from Vertica to Hive. The operator runs
   your query against Vertica, 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 Vertica 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 vertica_conn_id: source Vertica connection
   :type vertica_conn_id: str
   :param hive_conn_id: destination hive connection
   :type hive_conn_id: str

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

      

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

      

   .. attribute:: ui_color
      :annotation: = #b4e0ff

      

   
   .. classmethod:: type_map(cls, vertica_type)

      Vertica-python datatype.py does not provide the full type mapping access.
      Manual hack. Reference:
      https://github.com/uber/vertica-python/blob/master/vertica_python/vertica/column.py



   
   .. method:: execute(self, context)