docs-archive/apache-airflow-providers-apache-hive/3.0.0/_sources/_api/airflow/providers/apache/hive/transfers/vertica_to_hive/index.rst.txt

:py: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 an operator to move data from Vertica to Hive.



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

Classes
~~~~~~~

.. autoapisummary::

   airflow.providers.apache.hive.transfers.vertica_to_hive.VerticaToHiveOperator




.. 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: :py:obj:`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)
   :param hive_table: target Hive table, use dot notation to target a
       specific database. (templated)
   :param create: whether to create the table if it doesn't exist
   :param recreate: whether to drop and recreate the table at every execution
   :param partition: target partition as a dict of partition columns
       and values. (templated)
   :param delimiter: field delimiter in the file
   :param vertica_conn_id: source Vertica connection
   :param hive_cli_conn_id: Reference to the
       :ref:`Hive CLI connection id <howto/connection:hive_cli>`.

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

      

   .. py:attribute:: template_ext
      :annotation: :Sequence[str] = ['.sql']

      

   .. py:attribute:: template_fields_renderers
      

      

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

      

   .. py:method:: type_map(cls, vertica_type)
      :classmethod:

      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


   .. py:method:: execute(self, context)

      This is the main method to derive when creating an operator.
      Context is the same dictionary used as when rendering jinja templates.

      Refer to get_template_context for more context.