Apache Flink Documentation
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
Try Flink
If you’re interested in playing around with Flink, try one of our tutorials:
- Local Installation
- Fraud Detection with the DataStream API
- Real Time Reporting with the Table API
- Intro to the Python Table API
- Flink Operations Playground
Learn Flink
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To dive in deeper, the Hands-on Training includes a set of lessons and exercises that provide a step-by-step introduction to Flink.
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The Concepts section explains what you need to know about Flink before exploring the reference documentation.
Get Help with Flink
If you get stuck, check out our community support resources. In particular, Apache Flink’s user mailing list is consistently ranked as one of the most active of any Apache project, and is a great way to get help quickly.
Explore Flink
The reference documentation covers all the details. Some starting points:
Deploy Flink
Before putting your Flink job into production, read the Production Readiness Checklist. For an overview of possible deployment targets, see Clusters and Deployments.
Upgrade Flink
Release notes cover important changes between Flink versions. Please read them carefully if you plan to upgrade your Flink setup.
See the release notes for Flink 1.11, Flink 1.10, Flink 1.9, Flink 1.8, or Flink 1.7.
This documentation is for Apache Flink version 1.11. These pages were built at: 02/02/22, 11:59:59 AM UTC.