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Stateful Functions 2.2.0 Release Announcement

28 Sep 2020 Tzu-Li (Gordon) Tai (@tzulitai) & Igal Shilman (@IgalShilman)

The Apache Flink community is happy to announce the release of Stateful Functions (StateFun) 2.2.0! This release introduces major features that extend the SDKs, such as support for asynchronous functions in the Python SDK, new persisted state constructs, and a new SDK that allows embedding StateFun functions within a Flink DataStream job. Moreover, we’ve also included important changes that improve out-of-the-box stability for common workloads, as well as increased observability for operational purposes.

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Flink Community Update - August'20

04 Sep 2020 Marta Paes (@morsapaes)

Ah, so much for a quiet August month. This time around, we bring you some new Flink Improvement Proposals (FLIPs), a preview of the upcoming Flink Stateful Functions 2.2 release and a look into how far Flink has come in comparison to 2019.

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PyFlink: The integration of Pandas into PyFlink

04 Aug 2020 Jincheng Sun (@sunjincheng121) & Markos Sfikas (@MarkSfik)

The Apache Flink community put some great effort into integrating Pandas with PyFlink in the latest Flink version 1.11. Some of the added features include support for Pandas UDF and the conversion between Pandas DataFrame and Table. In this article, we will introduce how these functionalities work and how to use them with a step-by-step example.

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