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The data Artisans Blog

Apache Flink, stream processing, event-driven applications, and more.

Category: Flink Features

State TTL for Apache Flink: How to Limit the Lifetime of State

A common requirement for many stateful streaming applications is the ability to control how long application state can be accessed (e.g., due to legal regulations like GDPR) and when to discard it. Th...

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Latest improvements for Apache Flink with the release of Flink 1.5.4 and 1.6.1

The Apache Flink® community just released two bugfix versions, Apache Flink 1.5.4 and Apache Flink 1.6.1 including many resolved issues and improvements. In the sections below we will outline the imp...

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Apache Flink 1.6.0: What’s new in the latest Apache Flink release

The Apache Flink® community has just release v. 1.6.0 with major improvements and additions to the technology. The community worked hard in the last 2+ months to resolve more than 360 issues and is p...

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A Practical Guide to Broadcast State in Apache Flink

Since version 1.5.0, Apache FlinkⓇ features a new type of state which is called Broadcast State. In this post, we explain what Broadcast State is, and show an example of how it can be applied to an ...

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Apache Flink 1.5.0 Release Announcement

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. The Apache Flink community is thrilled to announce the 1.5.0 release. Over the ...

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Apache Flink® Master Branch Monthly: New in Flink in February 2018

Thanks to Stefan Richter, Kostas Kloudas, and Chesnay Schepler for their contributions to this post. Last month, we introduced our first ever Flink Master Monthly blog post so we could highlight featu...

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An Overview of End-to-End Exactly-Once Processing in Apache Flink® (with Apache Kafka, too!)

This post is an adaptation of Piotr Nowojski’s presentation from Flink Forward Berlin 2017. You can find the slides and a recording of the presentation on the Flink Forward Berlin website.Apache Fli...

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Apache Flink® Master Branch Monthly: New in Flink in January 2018

Flink’s major version releases occur every few months, and there’s a constant stream of activity as new features are merged to the Flink master branch in between releases. Keeping an eye on what...

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Managing Large State in Apache Flink®: An Intro to Incremental Checkpointing

Apache Flink was purpose-built for stateful stream processing. Let’s quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous bl...

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Apache Flink in 2017: Year in Review

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. 2017 was another exciting year for the Apache Flink® community, with 3 major v...

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