docs-archive/apache-airflow-providers-apache-spark/1.0.0/_sources/operators.rst.txt

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Apache Spark Operators
======================

.. contents::
  :depth: 1
  :local:

Prerequisite
------------

To use ``SparkJDBCOperator`` and ``SparkSubmitOperator``, you must configure a :doc:`Spark Connection <connections/spark>`. For ``SparkJDBCOperator``, you must also configure a :doc:`JDBC connection <apache-airflow-providers-jdbc:connections/jdbc>`.

``SparkSqlOperator`` gets all the configurations from operator parameters.

.. _howto/operator:SparkJDBCOperator:

SparkJDBCOperator
-----------------

Launches applications on a Apache Spark server, it uses ``SparkSubmitOperator`` to perform data transfers to/from JDBC-based databases.

For parameter definition take a look at :class:`~airflow.providers.apache.spark.operators.spark_jdbc.SparkJDBCOperator`.

Using the operator
""""""""""""""""""

Using ``cmd_type`` parameter, is possible to transfer data from Spark to a database (``spark_to_jdbc``) or from a database to Spark (``jdbc_to_spark``), which will write the table using the Spark command ``saveAsTable``.

.. exampleinclude:: /../../airflow/providers/apache/spark/example_dags/example_spark_dag.py
    :language: python
    :dedent: 4
    :start-after: [START howto_operator_spark_jdbc]
    :end-before: [END howto_operator_spark_jdbc]


Reference
"""""""""

For further information, look at `Apache Spark DataFrameWriter documentation <https://spark.apache.org/docs/2.4.5/api/scala/index.html#org.apache.spark.sql.DataFrameWriter>`_.

.. _howto/operator:SparkSqlOperator:

SparkSqlOperator
----------------

Launches applications on a Apache Spark server, it requires that the ``spark-sql`` script is in the PATH.
The operator will run the SQL query on Spark Hive metastore service, the ``sql`` parameter can be templated and be a ``.sql`` or ``.hql`` file.

For parameter definition take a look at :class:`~airflow.providers.apache.spark.operators.spark_sql.SparkSqlOperator`.

Using the operator
""""""""""""""""""

.. exampleinclude:: /../../airflow/providers/apache/spark/example_dags/example_spark_dag.py
    :language: python
    :dedent: 4
    :start-after: [START howto_operator_spark_sql]
    :end-before: [END howto_operator_spark_sql]

Reference
"""""""""

For further information, look at `Running the Spark SQL CLI <https://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-spark-sql-cli>`_.

.. _howto/operator:SparkSubmitOperator:

SparkSubmitOperator
-------------------

Launches applications on a Apache Spark server, it uses the ``spark-submit`` script that takes care of setting up the classpath with Spark and its dependencies, and can support different cluster managers and deploy modes that Spark supports.

For parameter definition take a look at :class:`~airflow.providers.apache.spark.operators.spark_submit.SparkSubmitOperator`.

Using the operator
""""""""""""""""""

.. exampleinclude:: /../../airflow/providers/apache/spark/example_dags/example_spark_dag.py
    :language: python
    :dedent: 4
    :start-after: [START howto_operator_spark_submit]
    :end-before: [END howto_operator_spark_submit]

Reference
"""""""""

For further information, look at `Apache Spark submitting applications <https://spark.apache.org/docs/latest/submitting-applications.html>`_.