:py:mod:`airflow.providers.databricks.hooks.databricks_sql`
===========================================================

.. py:module:: airflow.providers.databricks.hooks.databricks_sql


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

Classes
~~~~~~~

.. autoapisummary::

   airflow.providers.databricks.hooks.databricks_sql.DatabricksSqlHook


Attributes
~~~~~~~~~~

.. autoapisummary::

   airflow.providers.databricks.hooks.databricks_sql.LIST_SQL_ENDPOINTS_ENDPOINT


.. py:data:: LIST_SQL_ENDPOINTS_ENDPOINT
   :annotation: = ['GET', 'api/2.0/sql/endpoints']

   
.. py:class:: DatabricksSqlHook(databricks_conn_id = BaseDatabricksHook.default_conn_name, http_path = None, sql_endpoint_name = None, session_configuration = None)

   Bases: :py:obj:`airflow.providers.databricks.hooks.databricks_base.BaseDatabricksHook`, :py:obj:`airflow.hooks.dbapi.DbApiHook`

   Interact with Databricks SQL.

   :param databricks_conn_id: Reference to the :ref:`Databricks connection <howto/connection:databricks>`.
   :param http_path: Optional string specifying HTTP path of Databricks SQL Endpoint or cluster.
       If not specified, it should be either specified in the Databricks connection's extra parameters,
       or ``sql_endpoint_name`` must be specified.
   :param sql_endpoint_name: Optional name of Databricks SQL Endpoint. If not specified, ``http_path`` must
       be provided as described above.
   :param session_configuration: An optional dictionary of Spark session parameters. Defaults to None.
       If not specified, it could be specified in the Databricks connection's extra parameters.

   .. py:attribute:: hook_name
      :annotation: = Databricks SQL

      
   .. py:method:: get_conn(self)

      Returns a Databricks SQL connection object


   .. py:method:: maybe_split_sql_string(sql)
      :staticmethod:

      Splits strings consisting of multiple SQL expressions into an
      TODO: do we need something more sophisticated?

      :param sql: SQL string potentially consisting of multiple expressions
      :return: list of individual expressions


   .. py:method:: run(self, sql, autocommit=True, parameters=None, handler=None)

      Runs a command or a list of commands. Pass a list of sql
      statements to the sql parameter to get them to execute
      sequentially

      :param sql: the sql statement to be executed (str) or a list of
          sql statements to execute
      :param autocommit: What to set the connection's autocommit setting to
          before executing the query.
      :param parameters: The parameters to render the SQL query with.
      :param handler: The result handler which is called with the result of each statement.
      :return: query results.


   .. py:method:: test_connection(self)

      Test the Databricks SQL connection by running a simple query.


   .. py:method:: bulk_dump(self, table, tmp_file)
      :abstractmethod:

      Dumps a database table into a tab-delimited file

      :param table: The name of the source table
      :param tmp_file: The path of the target file


   .. py:method:: bulk_load(self, table, tmp_file)
      :abstractmethod:

      Loads a tab-delimited file into a database table

      :param table: The name of the target table
      :param tmp_file: The path of the file to load into the table