docs-archive/apache-airflow-providers-databricks/2.6.0/_sources/operators/sql.rst.txt

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.. _howto/operator:DatabricksSqlOperator:


DatabricksSqlOperator
=====================

Use the :class:`~airflow.providers.databricks.operators.databricks_sql.DatabricksSqlOperator` to execute SQL
on a `Databricks SQL endpoint  <https://docs.databricks.com/sql/admin/sql-endpoints.html>`_ or a
`Databricks cluster <https://docs.databricks.com/clusters/index.html>`_.


Using the Operator
------------------

Operator executes given SQL queries against configured endpoint.  There are 3 ways of specifying SQL queries:

1. Simple string with SQL statement.
2. List of strings representing SQL statements.
3. Name of the file with SQL queries. File must have ``.sql`` extension. Each query should finish with ``;<new_line>``

.. list-table::
   :widths: 15 25
   :header-rows: 1

   * - Parameter
     - Input
   * - sql: str or list[str]
     - Required parameter specifying a queries to execute.
   * - sql_endpoint_name: str
     - Optional name of Databricks SQL endpoint to use. If not specified, ``http_path`` should be provided.
   * - http_path: str
     - Optional HTTP path for Databricks SQL endpoint or Databricks cluster. If not specified, it should be provided in Databricks connection, or the ``sql_endpoint_name`` parameter must be set.
   * - parameters: dict[str, any]
     - Optional parameters that will be used to substitute variable(s) in SQL query.
   * - session_configuration: dict[str,str]
     - optional dict specifying Spark configuration parameters that will be set for the session.
   * - output_path: str
     - Optional path to the file to which results will be written.
   * - output_format: str
     - Name of the format which will be used to write results.  Supported values are (case-insensitive): ``JSON`` (array of JSON objects), ``JSONL`` (each row as JSON object on a separate line), ``CSV`` (default).
   * - csv_params: dict[str, any]
     - Optional dictionary with parameters to customize Python CSV writer.
   * - do_xcom_push: boolean
     - whether we should push query results (last query if multiple queries are provided) to xcom. Default: false

Examples
--------

Selecting data
^^^^^^^^^^^^^^

An example usage of the DatabricksSqlOperator to select data from a table is as follows:

.. exampleinclude:: /../../airflow/providers/databricks/example_dags/example_databricks_sql.py
    :language: python
    :start-after: [START howto_operator_databricks_sql_select]
    :end-before: [END howto_operator_databricks_sql_select]

Selecting data into a file
^^^^^^^^^^^^^^^^^^^^^^^^^^

An example usage of the DatabricksSqlOperator to select data from a table and store in a file is as follows:

.. exampleinclude:: /../../airflow/providers/databricks/example_dags/example_databricks_sql.py
    :language: python
    :start-after: [START howto_operator_databricks_sql_select_file]
    :end-before: [END howto_operator_databricks_sql_select_file]

Executing multiple statements
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

An example usage of the DatabricksSqlOperator to perform multiple SQL statements is as follows:

.. exampleinclude:: /../../airflow/providers/databricks/example_dags/example_databricks_sql.py
    :language: python
    :start-after: [START howto_operator_databricks_sql_multiple]
    :end-before: [END howto_operator_databricks_sql_multiple]


Executing multiple statements from a file
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

An example usage of the DatabricksSqlOperator to perform statements from a file is as follows:

.. exampleinclude:: /../../airflow/providers/databricks/example_dags/example_databricks_sql.py
    :language: python
    :start-after: [START howto_operator_databricks_sql_multiple_file]
    :end-before: [END howto_operator_databricks_sql_multiple_file]