Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Preferences
Contact Us
Feedback
AWS Documentation
Create an AWS Account

Use Python with Managed Service for Apache Flink

PDF
Focus mode
Use Python with Managed Service for Apache Flink - Managed Service for Apache Flink

Amazon Managed Service for Apache Flink was previously known as Amazon Kinesis Data Analytics for Apache Flink.

Amazon Managed Service for Apache Flink was previously known as Amazon Kinesis Data Analytics for Apache Flink.

Note

If you are developing Python Flink application on a new Mac with Apple Silicon chip, you may encounter some known issues with Python dependencies of PyFlink 1.15. In this case we recommend running the Python interpreter in Docker. For step-by-step instructions, see PyFlink 1.15 development on Apple Silicon Mac.

Apache Flink version 1.20 includes support for creating applications using Python version 3.11. For more information, see Flink Python Docs. You create a Managed Service for Apache Flink application using Python by doing the following:

  • Create your Python application code as a text file with a main method.

  • Bundle your application code file and any Python or Java dependencies into a zip file, and upload it to an Amazon S3 bucket.

  • Create your Managed Service for Apache Flink application, specifying your Amazon S3 code location, application properties, and application settings.

At a high level, the Python Table API is a wrapper around the Java Table API. For information about the Python Table API, see the Table API Tutorial in the Apache Flink Documentation.

PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.