Calling the Data API - Amazon Redshift
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Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025. If you would like to use Python UDFs, create the UDFs prior to that date. Existing Python UDFs will continue to function as normal. For more information, see the blog post .

Calling the Data API

You can call the Data API or the Amazon CLI to run SQL statements on your cluster or serverless workgroup. The primary operations to run SQL statements are ExecuteStatement and BatchExecuteStatement in the Amazon Redshift Data API Reference. The Data API supports the programming languages that are supported by the Amazon SDK. For more information on these, see Tools to Build on Amazon.

To see code examples of calling the Data API, see Getting Started with Redshift Data API in GitHub. This repository has examples of using Amazon Lambda to access Amazon Redshift data from Amazon EC2, Amazon Glue Data Catalog, and Amazon SageMaker Runtime. Example programming languages include Python, Go, Java, and Javascript.

You can call the Data API using the Amazon CLI.

The following examples use the Amazon CLI to call the Data API. To run the examples, edit the parameter values to match your environment. In many of the examples a cluster-identifier is provided to run against a cluster. When you run against a serverless workgroup, you provide a workgroup-name instead. These examples demonstrate a few of the Data API operations. For more information, see the Amazon CLI Command Reference.

Commands in the following examples have been split and formatted for readability. Not all parameters and responses are shown in all examples. For the API definition of the complete request syntax, request parameters, response syntax, and response elements, see the Amazon Redshift Data API Reference.