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| <article class="markdown"> |
| <h1> |
| <a href="/2017/02/06/announcing-apache-flink-1.2.0/">Announcing Apache Flink 1.2.0</a> |
| </h1> |
| |
| |
| |
| February 6, 2017 - |
| |
| |
| |
| |
| |
| <p><p>The Apache Flink community is pleased to announce the 1.2.0 release. Over the past months, the Flink community has been working hard to resolve 650 issues. See the <a href="http://flink.apache.org/blog/release_1.2.0-changelog.html">complete changelog</a> for more detail.</p> |
| <p>This is the third major release in the 1.x.y series. It is API compatible with the other 1.x.y releases for APIs annotated with the @Public annotation.</p> |
| <p>We encourage everyone to download the release and check out the <a href="//nightlies.apache.org/flink/flink-docs-release-1.2/">documentation</a>. Feedback through the <a href="http://flink.apache.org/community.html#mailing-lists">Flink mailing lists</a> is, as always, gladly encouraged!</p> |
| <p>You can find the binaries on the updated <a href="http://flink.apache.org/downloads.html">Downloads page</a>. Some highlights of the release are listed below.</p> |
| <h2 id="dynamic-scaling--key-groups"> |
| Dynamic Scaling / Key Groups |
| <a class="anchor" href="#dynamic-scaling--key-groups">#</a> |
| </h2> |
| <p>Flink now supports changing the parallelism of a streaming job by restoring it from a savepoint with a different parallelism. Both changing the entire job’s parallelism and operator parallelism is supported. |
| In the <code>StreamExecutionEnvironment</code>, users can set a new per-job configuration parameter called “max parallelism”. It determines the upper limit for the parallelism.</p> |
| <p>By default, the value is set to:</p> |
| <ul> |
| <li><code>128</code> : for all parallelism <= 128</li> |
| <li><code>MIN(nextPowerOfTwo(parallelism + (parallelism / 2)), 2^15)</code>: for all parallelism > 128</li> |
| </ul> |
| <p>The following built-in functions and operators support rescaling:</p> |
| <ul> |
| <li>Window operator</li> |
| <li>Rolling/Bucketing sink</li> |
| <li>Kafka consumers</li> |
| <li>Continuous File Processing source</li> |
| </ul> |
| <p>The write-ahead log Cassandra sink and the CEP operator are currently not rescalable. Users using the keyed state interfaces can use the dynamic scaling without changing their code.</p> |
| <h2 id="rescalable-non-partitioned-state"> |
| Rescalable Non-Partitioned State |
| <a class="anchor" href="#rescalable-non-partitioned-state">#</a> |
| </h2> |
| <p>As part of the dynamic scaling effort, the community has also added rescalable non-partitioned state for operators like the Kafka consumer that don’t use keyed state but instead use operator state.</p> |
| <p>In case of rescaling, the operator state needs to be redistributed among the parallel consumer instances. In case of the Kafka consumer, the assigned partitions and their offsets are redistributed.</p> |
| <h2 id="processfunction"> |
| ProcessFunction |
| <a class="anchor" href="#processfunction">#</a> |
| </h2> |
| <p>The <code>ProcessFunction</code> is a low-level stream processing operation giving access to the basic building blocks of all (acyclic) streaming applications:</p> |
| <ul> |
| <li>Events (stream elements)</li> |
| <li>State (fault tolerant, consistent)</li> |
| <li>Timers (event time and processing time)</li> |
| </ul> |
| <p>The ProcessFunction can be thought of as a FlatMapFunction with access to keyed state and timers.</p> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/dev/stream/process_function.html">ProcessFunction documentation</a></p> |
| <h2 id="async-io"> |
| Async I/O |
| <a class="anchor" href="#async-io">#</a> |
| </h2> |
| <p>Flink now has a dedicated Async I/O operator for making blocking calls asynchronously and in a checkpointed fashion. For example, there are many Flink applications that need to query external datastores for each element in a stream. To avoid slowing down the stream to the speed of the external system, the async I/O operator allows requests to overlap.</p> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/dev/stream/asyncio.html">Async I/O documentation</a></p> |
| <h2 id="run-flink-with-apache-mesos"> |
| Run Flink with Apache Mesos |
| <a class="anchor" href="#run-flink-with-apache-mesos">#</a> |
| </h2> |
| <p>The latest release further extends Flink’s deployment flexibility by adding support for Apache Mesos and DC/OS. In combination with Marathon, it is now possible to run an highly available Flink cluster on Mesos.</p> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/setup/mesos.html">Mesos documentation</a></p> |
| <h2 id="secure-data-access"> |
| Secure Data Access |
| <a class="anchor" href="#secure-data-access">#</a> |
| </h2> |
| <p>Flink is now able to authenticate against external services such as Zookeeper, Kafka, HDFS and YARN using Kerberos. |
| Also, experimental support for encryption over the wire has been added.</p> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/ops/security-kerberos.html">Kerberos documentation</a> and <a href="//nightlies.apache.org/flink/flink-docs-release-1.2/setup/security-ssl.html">SSL setup documentation</a>.</p> |
| <h2 id="queryable-state"> |
| Queryable State |
| <a class="anchor" href="#queryable-state">#</a> |
| </h2> |
| <p>This experimental feature allows users to query the current state of an operator. |
| If you have, for example, a flatMap() operator that keeps a running aggregate per key, queryable state allows you to retrieve the current aggregate value at any time by directly connecting to the TaskManager and retrieving that value.</p> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/dev/stream/queryable_state.html">Queryable State documentation</a></p> |
| <h2 id="backwards-compatible-savepoints"> |
| Backwards compatible savepoints |
| <a class="anchor" href="#backwards-compatible-savepoints">#</a> |
| </h2> |
| <p>Flink 1.2.0 allows users to restart a job from an 1.1.4 savepoint. This makes major Flink version upgrades possible without losing application state. The following built-in operators are backwards compatible:</p> |
| <ul> |
| <li>Window operator</li> |
| <li>Rolling/Bucketing sink</li> |
| <li>Kafka consumers</li> |
| <li>Continuous File Processing source</li> |
| </ul> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/ops/upgrading.html">Upgrading Flink applications documentation</a></p> |
| <h2 id="table-api--sql"> |
| Table API & SQL |
| <a class="anchor" href="#table-api--sql">#</a> |
| </h2> |
| <p>This release significantly expanded the performance, stability, and coverage of Flink’s Table API and SQL support for batch and streaming tables.</p> |
| <p>The community added tumbling, sliding, and session group-window aggregations over streaming tables |
| e.g. <code>table.window(Session withGap 10.minutes on 'rowtime as 'w)</code></p> |
| <p>SQL supports more built-in functions and operations |
| e.g. <code>EXISTS</code>, <code>VALUES</code>, <code>LIMIT</code>, <code>CURRENT_DATE</code>, <code>INITCAP</code>, <code>NULLIF</code></p> |
| <p>Both APIs support more data types and are better integrated |
| e.g. access a POJO field <code>myPojo.get('field')</code>, <code>myPojo.flatten()</code></p> |
| <p>Users can now define their own scalar and table functions |
| e.g. <code>table.select('uid, parse('field) as 'parsed).join(split('parsed) as 'atom)</code></p> |
| <p><a href="//nightlies.apache.org/flink/flink-docs-release-1.2/dev/table_api.html">Flink Table API & SQL documentation</a></p> |
| <h2 id="miscellaneous-improvements"> |
| Miscellaneous improvements |
| <a class="anchor" href="#miscellaneous-improvements">#</a> |
| </h2> |
| <ul> |
| <li> |
| <p>Metrics in Flink web interface: A metrics system was added in Flink 1.1, and with this release, Flink provides a new tab in the web frontend to see some of the metrics in the web UI.</p> |
| </li> |
| <li> |
| <p>Kafka 0.10 support: Flink 1.2 now provides a connector for Apache Kafka 0.10.0.x, including support for consuming and producing messages with a timestamp using Flink’s internal event time (<a href="//nightlies.apache.org/flink/flink-docs-release-1.2/dev/connectors/kafka.html">Kafka Connector Documentation</a>)</p> |
| </li> |
| <li> |
| <p>Evictor Semantics: Flink 1.2 ships with more expressive evictor semantics that allow the programmer to evict elements form a window both before and after the application of the window function, and to remove elements arbitrarily (<a href="//nightlies.apache.org/flink/flink-docs-release-1.2/dev/windows.html#evictors">Evictor Semantics Documentation</a>)</p> |
| </li> |
| </ul> |
| <h2 id="list-of-contributors"> |
| List of Contributors |
| <a class="anchor" href="#list-of-contributors">#</a> |
| </h2> |
| <p>According to git shortlog, the following 122 people contributed to the 1.2.0 release. Thank you to all contributors!</p> |
| <ul> |
| <li>Abhishek R. Singh</li> |
| <li>Ahmad Ragab</li> |
| <li>Aleksandr Chermenin</li> |
| <li>Alexander Pivovarov</li> |
| <li>Alexander Shoshin</li> |
| <li>Alexey Diomin</li> |
| <li>Aljoscha Krettek</li> |
| <li>Andrey Melentyev</li> |
| <li>Anton Mushin</li> |
| <li>Bob Thorman</li> |
| <li>Boris Osipov</li> |
| <li>Bram Vogelaar</li> |
| <li>Bruno Aranda</li> |
| <li>David Anderson</li> |
| <li>Dominik</li> |
| <li>Evgeny_Kincharov</li> |
| <li>Fabian Hueske</li> |
| <li>Fokko Driesprong</li> |
| <li>Gabor Gevay</li> |
| <li>George</li> |
| <li>Gordon Tai</li> |
| <li>Greg Hogan</li> |
| <li>Gyula Fora</li> |
| <li>Haohui Mai</li> |
| <li>Holger Frydrych</li> |
| <li>HungUnicorn</li> |
| <li>Ismaël Mejía</li> |
| <li>Ivan Mushketyk</li> |
| <li>Jakub Havlik</li> |
| <li>Jark Wu</li> |
| <li>Jendrik Poloczek</li> |
| <li>Jincheng Sun</li> |
| <li>Josh</li> |
| <li>Joshi</li> |
| <li>Keiji Yoshida</li> |
| <li>Kirill Morozov</li> |
| <li>Kurt Young</li> |
| <li>Liwei Lin</li> |
| <li>Lorenz Buehmann</li> |
| <li>Maciek Próchniak</li> |
| <li>Makman2</li> |
| <li>Markus Müller</li> |
| <li>Martin Junghanns</li> |
| <li>Márton Balassi</li> |
| <li>Max Kuklinski</li> |
| <li>Maximilian Michels</li> |
| <li>Milosz Tanski</li> |
| <li>Nagarjun</li> |
| <li>Neelesh Srinivas Salian</li> |
| <li>Neil Derraugh</li> |
| <li>Nick Chadwick</li> |
| <li>Nico Kruber</li> |
| <li>Niels Basjes</li> |
| <li>Pattarawat Chormai</li> |
| <li>Piotr Godek</li> |
| <li>Raghav</li> |
| <li>Ramkrishna</li> |
| <li>Robert Metzger</li> |
| <li>Rohit Agarwal</li> |
| <li>Roman Maier</li> |
| <li>Sachin</li> |
| <li>Sachin Goel</li> |
| <li>Scott Kidder</li> |
| <li>Shannon Carey</li> |
| <li>Stefan Richter</li> |
| <li>Steffen Hausmann</li> |
| <li>Stephan Epping</li> |
| <li>Stephan Ewen</li> |
| <li>Sunny T</li> |
| <li>Suri</li> |
| <li>Theodore Vasiloudis</li> |
| <li>Till Rohrmann</li> |
| <li>Tony Wei</li> |
| <li>Tzu-Li (Gordon) Tai</li> |
| <li>Ufuk Celebi</li> |
| <li>Vijay Srinivasaraghavan</li> |
| <li>Vishnu Viswanath</li> |
| <li>WangTaoTheTonic</li> |
| <li>William-Sang</li> |
| <li>Yassine Marzougui</li> |
| <li>anton solovev</li> |
| <li>beyond1920</li> |
| <li>biao.liub</li> |
| <li>chobeat</li> |
| <li>danielblazevski</li> |
| <li>f7753</li> |
| <li>fengyelei</li> |
| <li>fengyelei 00406569</li> |
| <li>gallenvara</li> |
| <li>gaolun.gl</li> |
| <li>godfreyhe</li> |
| <li>heytitle</li> |
| <li>hzyuemeng1</li> |
| <li>iteblog</li> |
| <li>kl0u</li> |
| <li>larsbachmann</li> |
| <li>lincoln-lil</li> |
| <li>manuzhang</li> |
| <li>medale</li> |
| <li>miaoever</li> |
| <li>mtunique</li> |
| <li>radekg</li> |
| <li>renkai</li> |
| <li>sergey_sokur</li> |
| <li>shijinkui</li> |
| <li>shuai.xus</li> |
| <li>smarthi</li> |
| <li>swapnil-chougule</li> |
| <li>tedyu</li> |
| <li>tibor.moger</li> |
| <li>tonycox</li> |
| <li>twalthr</li> |
| <li>vasia</li> |
| <li>wenlong.lwl</li> |
| <li>wrighe3</li> |
| <li>xiaogang.sxg</li> |
| <li>yushi.wxg</li> |
| <li>yuzhongliu</li> |
| <li>zentol</li> |
| <li>zhuhaifengleon</li> |
| <li>淘江</li> |
| <li>魏偉哲</li> |
| </ul> |
| </p> |
| </article> |
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