docs-archive/apache-airflow-providers-amazon/3.4.0/_sources/operators/redshift_sql.rst.txt

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.. _howto/operator:RedshiftSQLOperator:

Amazon Redshift Operators
=========================

`Amazon Redshift <https://aws.amazon.com/redshift/>`__ manages all the work of setting up, operating, and scaling a data warehouse:
provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to
the Amazon Redshift engine. You can focus on using your data to acquire new insights for your
business and customers.

Airflow provides an operator to execute queries against an Amazon Redshift cluster.

Prerequisite Tasks
^^^^^^^^^^^^^^^^^^

.. include:: _partials/prerequisite_tasks.rst

Redshift SQL
^^^^^^^^^^^^

This operator executes a SQL query against an Amazon Redshift cluster.

Execute a SQL query
"""""""""""""""""""

.. exampleinclude:: /../../airflow/providers/amazon/aws/example_dags/example_redshift_sql.py
    :language: python
    :dedent: 4
    :start-after: [START howto_operator_redshift_sql]
    :end-before: [END howto_operator_redshift_sql]

Execute a SQL query with parameters
"""""""""""""""""""""""""""""""""""

RedshiftSQLOperator supports the ``parameters`` attribute which allows us to dynamically pass
parameters into SQL statements.

.. exampleinclude:: /../../airflow/providers/amazon/aws/example_dags/example_redshift_sql.py
    :language: python
    :dedent: 4
    :start-after: [START howto_operator_redshift_sql_with_params]
    :end-before: [END howto_operator_redshift_sql_with_params]

Reference
^^^^^^^^^

For further information, look at:

* `Amazon Redshift Python connector <https://docs.aws.amazon.com/redshift/latest/mgmt/python-connect-examples.html>`__