Apache Flink 1.13.2 Released

August 6, 2021 - Yun Tang

The Apache Flink community released the second bugfix version of the Apache Flink 1.13 series. This release includes 127 fixes and minor improvements for Flink 1.13.2. The list below includes bugfixes and improvements. For a complete list of all changes see: JIRA. We highly recommend all users to upgrade to Flink 1.13.2. Updated Maven dependencies: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-java</artifactId> <version>1.13.2</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java_2.11</artifactId> <version>1.13.2</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_2.11</artifactId> <version>1.13.2</version> </dependency> You can find the binaries on the updated Downloads page. ...

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How to identify the source of backpressure?

July 7, 2021 - Piotr Nowojski (@PiotrNowojski)

Backpressure monitoring in the web UI The backpressure topic was tackled from different angles over the last couple of years. However, when it comes to identifying and analyzing sources of backpressure, things have changed quite a bit in the recent Flink releases (especially with new additions to metrics and the web UI in Flink 1.13). This post will try to clarify some of these changes and go into more detail about how to track down the source of backpressure, but first… ...

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Apache Flink 1.13.1 Released

May 28, 2021 - Dawid Wysakowicz (@dwysakowicz)

The Apache Flink community released the first bugfix version of the Apache Flink 1.13 series. This release includes 82 fixes and minor improvements for Flink 1.13.1. The list below includes bugfixes and improvements. For a complete list of all changes see: JIRA. We highly recommend all users to upgrade to Flink 1.13.1. Updated Maven dependencies: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-java</artifactId> <version>1.13.1</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java_2.11</artifactId> <version>1.13.1</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_2.11</artifactId> <version>1.13.1</version> </dependency> You can find the binaries on the updated Downloads page. ...

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Apache Flink 1.12.4 Released

May 21, 2021 - Arvid Heise

The Apache Flink community released the next bugfix version of the Apache Flink 1.12 series. This release includes 21 fixes and minor improvements for Flink 1.12.3. The list below includes a detailed list of all fixes and improvements. We highly recommend all users to upgrade to Flink 1.12.4. Updated Maven dependencies: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-java</artifactId> <version>1.12.4</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java_2.11</artifactId> <version>1.12.4</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_2.11</artifactId> <version>1.12.4</version> </dependency> You can find the binaries on the updated Downloads page. ...

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Scaling Flink automatically with Reactive Mode

May 6, 2021 - Robert Metzger (@rmetzger_)

Introduction # Streaming jobs which run for several days or longer usually experience variations in workload during their lifetime. These variations can originate from seasonal spikes, such as day vs. night, weekdays vs. weekend or holidays vs. non-holidays, sudden events or simply the growing popularity of your product. Although some of these variations are more predictable than others, in all cases there is a change in job resource demand that needs to be addressed if you want to ensure the same quality of service for your customers. ...

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Apache Flink 1.13.0 Release Announcement

May 3, 2021 - Stephan Ewen (@StephanEwen) Dawid Wysakowicz (@dwysakowicz)

The Apache Flink community is excited to announce the release of Flink 1.13.0! More than 200 contributors worked on over 1,000 issues for this new version. The release brings us a big step forward in one of our major efforts: Making Stream Processing Applications as natural and as simple to manage as any other application. The new reactive scaling mode means that scaling streaming applications in and out now works like in any other application by just changing the number of parallel processes. ...

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Apache Flink 1.12.3 Released

April 29, 2021 - Arvid Heise

The Apache Flink community released the next bugfix version of the Apache Flink 1.12 series. This release includes 73 fixes and minor improvements for Flink 1.12.2. The list below includes a detailed list of all fixes and improvements. We highly recommend all users to upgrade to Flink 1.12.3. Updated Maven dependencies: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-java</artifactId> <version>1.12.3</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java_2.11</artifactId> <version>1.12.3</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_2.11</artifactId> <version>1.12.3</version> </dependency> You can find the binaries on the updated Downloads page. ...

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Stateful Functions 3.0.0: Remote Functions Front and Center

April 15, 2021 - Igal Shilman (@IgalShilman) Tzu-Li (Gordon) Tai (@tzulitai)

The Apache Flink community is happy to announce the release of Stateful Functions (StateFun) 3.0.0! Stateful Functions is a cross-platform stack for building Stateful Serverless applications, making it radically simpler to develop scalable, consistent, and elastic distributed applications. This new release brings remote functions to the front and center of StateFun, making the disaggregated setup that separates the application logic from the StateFun cluster the default. It is now easier, more efficient, and more ergonomic to write applications that live in their own processes or containers. ...

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A Rundown of Batch Execution Mode in the DataStream API

March 11, 2021 - Dawid Wysakowicz (@dwysakowicz)

Flink has been following the mantra that Batch is a Special Case of Streaming since the very early days. As the project evolved to address specific uses cases, different core APIs ended up being implemented for batch (DataSet API) and streaming execution (DataStream API), but the higher-level Table API/SQL was subsequently designed following this mantra of unification. With Flink 1.12, the community worked on bringing a similarly unified behaviour to the DataStream API, and took the first steps towards enabling efficient batch execution in the DataStream API. ...

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Apache Flink 1.12.2 Released

March 3, 2021 - Yuan Mei Roman Khachatryan

The Apache Flink community released the next bugfix version of the Apache Flink 1.12 series. This release includes 83 fixes and minor improvements for Flink 1.12.1. The list below includes a detailed list of all fixes and improvements. We highly recommend all users to upgrade to Flink 1.12.2. Updated Maven dependencies: <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-java</artifactId> <version>1.12.2</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-java_2.11</artifactId> <version>1.12.2</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_2.11</artifactId> <version>1.12.2</version> </dependency> You can find the binaries on the updated Downloads page. ...

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