providers/amazon/docs/operators/redshift/redshift_data.rst
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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.
.. include:: ../../_partials/prerequisite_tasks.rst
.. include:: ../../_partials/generic_parameters.rst
.. _howto/operator:RedshiftDataOperator:
Use the :class:RedshiftDataOperator <airflow.providers.amazon.aws.operators.redshift_data> to execute
statements against an Amazon Redshift cluster.
This differs from RedshiftSQLOperator in that it allows users to query and retrieve data via the AWS API and avoid
the necessity of a Postgres connection.
.. exampleinclude:: /../../amazon/tests/system/amazon/aws/example_redshift.py :language: python :dedent: 4 :start-after: [START howto_operator_redshift_data] :end-before: [END howto_operator_redshift_data]
Specify the session_keep_alive_seconds parameter on an upstream task. In a downstream task, get the session ID from
the XCom and pass it to the session_id parameter. This is useful when you work with temporary tables.
.. exampleinclude:: /../../amazon/tests/system/amazon/aws/example_redshift.py :language: python :dedent: 4 :start-after: [START howto_operator_redshift_data_session_reuse] :end-before: [END howto_operator_redshift_data_session_reuse]
AWS boto3 library documentation for Amazon Redshift Data <https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/redshift-data.html>__