Amazon Redshift SQL¶

Amazon 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.

Prerequisite Tasks¶

To use these operators, you must do a few things:

Create necessary resources using AWS Console or AWS CLI.
Install API libraries via pip.
pip install 'apache-airflow[amazon]'
Detailed information is available Installation of Apache Airflow®
Setup Connection.

Operators¶

Execute a SQL query¶

The generic SQLExecuteQueryOperator can be used to execute SQL queries against an Amazon Redshift cluster using a Postgres connection.

To execute a SQL query against an Amazon Redshift cluster without using a Postgres connection, please check RedshiftDataOperator.

tests/system/providers/common/sql/example_sql_execute_query.py[source]

execute_query = SQLExecuteQueryOperator(
    task_id="execute_query",
    sql=f"SELECT 1; SELECT * FROM {AIRFLOW_DB_METADATA_TABLE} LIMIT 1;",
    split_statements=True,
    return_last=False,
)

Reference¶

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