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Apache Flink Documentation |
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This documentation is for Apache Flink version {{ site.version }}. These pages have been built at: {% build_time %}.
Apache Flink is an open source platform for distributed stream and batch data processing. Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink also builds batch processing on top of the streaming engine, overlaying native iteration support, managed memory, and program optimization.
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Concepts: Start with the basic concepts of Flink's Dataflow Programming Model and Distributed Runtime Environment. This will help you to fully understand the other parts of the documentation, including the setup and programming guides. It is highly recommended to read these sections first.
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Quickstarts: Run an example program on your local machine or write a simple program working on live Wikipedia edits.
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Programming Guides: You can check out our guides about basic concepts and the DataStream API or DataSet API to learn how to write your first Flink programs.
For users that have used prior versions of Apache Flink we recommend checking out the API migration guide. While all parts of the API that were marked as public and stable are still supported (backwards compatible), we suggest to migrate applications to the newer interfaces where applicable.
For users that look to upgrade an operation Flink system to the latest version, we recommend to check out the guide on upgrading Apache Flink