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content/blog/index.html

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<div class="col-sm-8">
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<!-- Blog posts -->
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<h2 class="blog-title"><a href="/news/2021/01/11/batch-fine-grained-fault-tolerance.html">Exploring fine-grained recovery of bounded data sets on Flink</a></h2>
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<p>11 Jan 2021
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Robert Metzger (<a href="https://twitter.com/rmetzger_">@rmetzger_</a>)</p>
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<p>Apache Flink 1.9 introduced fine-grained recovery through FLIP-1. The Flink APIs that are made for bounded workloads benefit from this change by individually recovering failed operators, re-using results from the previous processing step. This blog post gives an overview over these changes and evaluates their effectiveness.</p>
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<p><a href="/news/2021/01/11/batch-fine-grained-fault-tolerance.html">Continue reading &raquo;</a></p>
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<h2 class="blog-title"><a href="/2021/01/07/pulsar-flink-connector-270.html">What's New in the Pulsar Flink Connector 2.7.0</a></h2>
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<h2 class="blog-title"><a href="/news/2020/09/17/release-1.11.2.html">Apache Flink 1.11.2 Released</a></h2>
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<p>17 Sep 2020
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Zhu Zhu (<a href="https://twitter.com/zhuzhv">@zhuzhv</a>)</p>
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<p><p>The Apache Flink community released the second bugfix version of the Apache Flink 1.11 series.</p>
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<p><a href="/news/2020/09/17/release-1.11.2.html">Continue reading &raquo;</a></p>
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<ul id="markdown-toc">
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<li><a href="/news/2021/01/11/batch-fine-grained-fault-tolerance.html">Exploring fine-grained recovery of bounded data sets on Flink</a></li>
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<li><a href="/2021/01/07/pulsar-flink-connector-270.html">What's New in the Pulsar Flink Connector 2.7.0</a></li>
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content/blog/page10/index.html

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<h2 class="blog-title"><a href="/news/2017/11/22/release-1.4-and-1.5-timeline.html">Looking Ahead to Apache Flink 1.4.0 and 1.5.0</a></h2>
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<p>22 Nov 2017
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Stephan Ewen (<a href="https://twitter.com/StephanEwen">@StephanEwen</a>), Aljoscha Krettek (<a href="https://twitter.com/aljoscha">@aljoscha</a>), &amp; Mike Winters (<a href="https://twitter.com/wints">@wints</a>)</p>
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<p><p>The Apache Flink 1.4.0 release is on track to happen in the next couple of weeks, and for all of the
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readers out there who haven’t been following the release discussion on <a href="http://flink.apache.org/community.html#mailing-lists">Flink’s developer mailing
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list</a>, we’d like to provide some details on
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what’s coming in Flink 1.4.0 as well as a preview of what the Flink community will save for 1.5.0.</p>
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</p>
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<p><a href="/news/2017/11/22/release-1.4-and-1.5-timeline.html">Continue reading &raquo;</a></p>
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<h2 class="blog-title"><a href="/news/2017/08/05/release-1.3.2.html">Apache Flink 1.3.2 Released</a></h2>
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<h2 class="blog-title"><a href="/news/2017/02/06/release-1.2.0.html">Announcing Apache Flink 1.2.0</a></h2>
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<p>06 Feb 2017 by Robert Metzger
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<p><p>The Apache Flink community is excited to announce the 1.2.0 release.</p></p>
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<p><a href="/news/2017/02/06/release-1.2.0.html">Continue reading &raquo;</a></p>
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<li><a href="/news/2021/01/11/batch-fine-grained-fault-tolerance.html">Exploring fine-grained recovery of bounded data sets on Flink</a></li>
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<li><a href="/2021/01/07/pulsar-flink-connector-270.html">What's New in the Pulsar Flink Connector 2.7.0</a></li>
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content/blog/page11/index.html

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<h2 class="blog-title"><a href="/news/2017/02/06/release-1.2.0.html">Announcing Apache Flink 1.2.0</a></h2>
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<p>06 Feb 2017 by Robert Metzger
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<p><p>The Apache Flink community is excited to announce the 1.2.0 release.</p></p>
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<p><a href="/news/2017/02/06/release-1.2.0.html">Continue reading &raquo;</a></p>
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</article>
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<h2 class="blog-title"><a href="/news/2016/12/21/release-1.1.4.html">Apache Flink 1.1.4 Released</a></h2>
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<h2 class="blog-title"><a href="/news/2016/04/22/release-1.0.2.html">Flink 1.0.2 Released</a></h2>
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<p>22 Apr 2016
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<p><p>Today, the Flink community released Flink version <strong>1.0.2</strong>, the second bugfix release of the 1.0 series.</p>
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<p><a href="/news/2016/04/22/release-1.0.2.html">Continue reading &raquo;</a></p>
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<li><a href="/news/2021/01/11/batch-fine-grained-fault-tolerance.html">Exploring fine-grained recovery of bounded data sets on Flink</a></li>
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<li><a href="/2021/01/07/pulsar-flink-connector-270.html">What's New in the Pulsar Flink Connector 2.7.0</a></li>
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content/blog/page12/index.html

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<h2 class="blog-title"><a href="/news/2016/04/22/release-1.0.2.html">Flink 1.0.2 Released</a></h2>
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<p>22 Apr 2016
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<p><p>Today, the Flink community released Flink version <strong>1.0.2</strong>, the second bugfix release of the 1.0 series.</p>
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<p><a href="/news/2016/04/22/release-1.0.2.html">Continue reading &raquo;</a></p>
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<h2 class="blog-title"><a href="/news/2016/04/14/flink-forward-announce.html">Flink Forward 2016 Call for Submissions Is Now Open</a></h2>
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<h2 class="blog-title"><a href="/news/2015/11/16/release-0.10.0.html">Announcing Apache Flink 0.10.0</a></h2>
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<p><p>The Apache Flink community is pleased to announce the availability of the 0.10.0 release. The community put significant effort into improving and extending Apache Flink since the last release, focusing on data stream processing and operational features. About 80 contributors provided bug fixes, improvements, and new features such that in total more than 400 JIRA issues could be resolved.</p>
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<li><a href="/2021/01/07/pulsar-flink-connector-270.html">What's New in the Pulsar Flink Connector 2.7.0</a></li>
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content/blog/page13/index.html

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<h2 class="blog-title"><a href="/news/2015/11/16/release-0.10.0.html">Announcing Apache Flink 0.10.0</a></h2>
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<p><p>The Apache Flink community is pleased to announce the availability of the 0.10.0 release. The community put significant effort into improving and extending Apache Flink since the last release, focusing on data stream processing and operational features. About 80 contributors provided bug fixes, improvements, and new features such that in total more than 400 JIRA issues could be resolved.</p>
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<p><a href="/news/2015/11/16/release-0.10.0.html">Continue reading &raquo;</a></p>
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<h2 class="blog-title"><a href="/news/2015/09/16/off-heap-memory.html">Off-heap Memory in Apache Flink and the curious JIT compiler</a></h2>
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<p>13 Mar 2015 by Fabian Hüske (<a href="https://twitter.com/">@fhueske</a>)
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<p>Joins are prevalent operations in many data processing applications. Most data processing systems feature APIs that make joining data sets very easy. However, the internal algorithms for join processing are much more involved – especially if large data sets need to be efficiently handled. In this blog post, we cut through Apache Flink’s layered architecture and take a look at its internals with a focus on how it handles joins.</p>
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<li><a href="/2021/01/07/pulsar-flink-connector-270.html">What's New in the Pulsar Flink Connector 2.7.0</a></li>
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