:py:mod:`airflow.providers.microsoft.azure.transfers.oracle_to_azure_data_lake`
===============================================================================

.. py:module:: airflow.providers.microsoft.azure.transfers.oracle_to_azure_data_lake


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

Classes
~~~~~~~

.. autoapisummary::

   airflow.providers.microsoft.azure.transfers.oracle_to_azure_data_lake.OracleToAzureDataLakeOperator


.. py:class:: OracleToAzureDataLakeOperator(*, filename, azure_data_lake_conn_id, azure_data_lake_path, oracle_conn_id, sql, sql_params = None, delimiter = ',', encoding = 'utf-8', quotechar = '"', quoting = csv.QUOTE_MINIMAL, **kwargs)

   Bases: :py:obj:`airflow.models.BaseOperator`

   Moves data from Oracle to Azure Data Lake. The operator runs the query against
   Oracle and stores the file locally before loading it into Azure Data Lake.


   :param filename: file name to be used by the csv file.
   :param azure_data_lake_conn_id: destination azure data lake connection.
   :param azure_data_lake_path: destination path in azure data lake to put the file.
   :param oracle_conn_id: :ref:`Source Oracle connection <howto/connection:oracle>`.
   :param sql: SQL query to execute against the Oracle database. (templated)
   :param sql_params: Parameters to use in sql query. (templated)
   :param delimiter: field delimiter in the file.
   :param encoding: encoding type for the file.
   :param quotechar: Character to use in quoting.
   :param quoting: Quoting strategy. See unicodecsv quoting for more information.

   .. py:attribute:: template_fields
      :annotation: :Sequence[str] = ['filename', 'sql', 'sql_params']

      
   .. py:attribute:: template_fields_renderers
      

   .. py:attribute:: ui_color
      :annotation: = #e08c8c

      
   .. 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.