<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=x-ua-compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1"><title>Hazelcast Jet Runner</title><meta name=description content="Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes."><link href="https://fonts.googleapis.com/css?family=Roboto:100,300,400,500,700" rel=stylesheet><link rel=preload href=/scss/main.min.408fddfe3e8a45f87a5a8c9a839d77db667c1c534e5e5cd0d957ffc3dd6c14cf.css as=style><link href=/scss/main.min.408fddfe3e8a45f87a5a8c9a839d77db667c1c534e5e5cd0d957ffc3dd6c14cf.css rel=stylesheet integrity><script src=https://code.jquery.com/jquery-2.2.4.min.js></script><style>.body__contained img{max-width:100%}</style><script type=text/javascript src=/js/bootstrap.min.2979f9a6e32fc42c3e7406339ee9fe76b31d1b52059776a02b4a7fa6a4fd280a.js defer></script>
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<script>function showSearch(){addPlaceholder();var e,t=document.querySelector(".searchBar");t.classList.remove("disappear"),e=document.querySelector("#iconsBar"),e.classList.add("disappear")}function addPlaceholder(){$("input:text").attr("placeholder","What are you looking for?")}function endSearch(){var e,t=document.querySelector(".searchBar");t.classList.add("disappear"),e=document.querySelector("#iconsBar"),e.classList.remove("disappear")}function blockScroll(){$("body").toggleClass("fixedPosition")}function openMenu(){addPlaceholder(),blockScroll()}</script><div class="clearfix container-main-content"><div class="section-nav closed" data-offset-top=90 data-offset-bottom=500><span class="section-nav-back glyphicon glyphicon-menu-left"></span><nav><ul class=section-nav-list data-section-nav><li><span class=section-nav-list-main-title>Runners</span></li><li><a href=/documentation/runners/capability-matrix/>Capability Matrix</a></li><li><a href=/documentation/runners/direct/>Direct Runner</a></li><li><a href=/documentation/runners/flink/>Apache Flink</a></li><li><a href=/documentation/runners/nemo/>Apache Nemo</a></li><li><a href=/documentation/runners/samza/>Apache Samza</a></li><li><a href=/documentation/runners/spark/>Apache Spark</a></li><li><a href=/documentation/runners/dataflow/>Google Cloud Dataflow</a></li><li><a href=/documentation/runners/jet/>Hazelcast Jet</a></li><li><a href=/documentation/runners/twister2/>Twister2</a></li></ul></nav></div><nav class="page-nav clearfix" data-offset-top=90 data-offset-bottom=500><nav id=TableOfContents><ul><li><a href=#overview>Overview</a></li><li><a href=#running-wordcount-with-the-hazelcast-jet-runner>Running WordCount with the Hazelcast Jet Runner</a><ul><li><a href=#generating-the-beam-examples-project>Generating the Beam examples project</a></li><li><a href=#running-wordcount-on-a-local-jet-cluster>Running WordCount on a Local Jet Cluster</a></li><li><a href=#running-wordcount-on-a-remote-jet-cluster>Running WordCount on a Remote Jet Cluster</a></li></ul></li><li><a href=#pipeline-options-for-the-jet-runner>Pipeline Options for the Jet Runner</a></li></ul></nav></nav><div class="body__contained body__section-nav"><h2 id=overview>Overview</h2><p>The Hazelcast Jet Runner can be used to execute Beam pipelines using <a href=https://jet-start.sh/>Hazelcast
Jet</a>.</p><p>The Jet Runner and Jet are suitable for large scale continuous jobs and provide:</p><ul><li>Support for both batch (bounded) and streaming (unbounded) data sets</li><li>A runtime that supports very high throughput and low event latency at the same time</li><li>Natural back-pressure in streaming programs</li><li>Distributed massively parallel data processing engine with in memory storage</li></ul><p>It&rsquo;s important to note that the Jet Runner is currently in an <em>EXPERIMENTAL</em> state and can not make use of many of
the capabilities present in Jet:</p><ul><li>Jet has full Fault Tolerance support, the Jet Runner does not; if a job fails it must be restarted</li><li>Internal performance of Jet is extremely high.
The Runner can&rsquo;t match it as of now because Beam pipeline optimization/surgery has not been fully implemented.</li></ul><p>The <a href=/documentation/runners/capability-matrix/>Beam Capability Matrix</a> documents the
supported capabilities of the Jet Runner.</p><h2 id=running-wordcount-with-the-hazelcast-jet-runner>Running WordCount with the Hazelcast Jet Runner</h2><h3 id=generating-the-beam-examples-project>Generating the Beam examples project</h3><p>Just follow the instruction from the <a href=/get-started/quickstart-java/#get-the-wordcount-code>Java Quickstart page</a></p><h3 id=running-wordcount-on-a-local-jet-cluster>Running WordCount on a Local Jet Cluster</h3><p>Issue following command in the Beam examples project to start new Jet cluster and run the WordCount example on it.</p><pre tabindex=0><code>    $ mvn package exec:java \
        -DskipTests \
        -Dexec.mainClass=org.apache.beam.examples.WordCount \
        -Dexec.args=&#34;\
            --runner=JetRunner \
            --jetLocalMode=3 \
            --inputFile=pom.xml \
            --output=counts&#34; \
        -Pjet-runner
</code></pre><h3 id=running-wordcount-on-a-remote-jet-cluster>Running WordCount on a Remote Jet Cluster</h3><p>The Beam examples project, when generated from an archetype, comes from a particular released Beam version (that&rsquo;s what
the <code>archetypeVersion</code> property is about). Each Beam version that contains the Jet Runner (ie. from 2.14.0 onwards)
uses a certain version of Jet. Because of this, when we start a stand-alone Jet cluster and try to run Beam examples on
it we need to make sure the two are compatible. See following table for which Jet version is recommended for various
Beam versions.</p><table class="table table-bordered"><tr><th>Beam Version</th><th>Compatible Jet Versions</th></tr><tr><td>2.20.0 or newer</td><td>4.x</td></tr><tr><td>2.14.0 - 2.19.0</td><td>3.x</td></tr><tr><td>2.13.0 or older</td><td>N/A</td></tr></table><p>Download latest Hazelcast Jet version compatible with the Beam you are using from
<a href=https://jet-start.sh/download>Hazelcast Jet Website</a>.</p><nav class=version-switcher><strong>Adapt for:</strong><ul><li data-value=jet3>Hazelcast Jet 3.x</li><li data-value=jet4>Hazelcast Jet 4.x</li></ul></nav><p>Once the download has finished you need to start a Jet cluster. The simplest way to do so is to start Jet cluster
members using the <code>jet-start</code> script that comes with the downloaded Jet distribution. The members use the
<span class=version-jet3><a href=https://docs.hazelcast.org/docs/3.12/manual/html-single/index.html#setting-up-clusters>auto discovery feature</a></span>
<span class=version-jet4><a href=https://docs.hazelcast.org/docs/4.0/manual/html-single/#setting-up-clusters>auto discovery feature</a></span>
to form a cluster. Let&rsquo;s start up a cluster formed by two members:</p><div class='version-jet3 snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code class=language-jet3 data-lang=jet3>$ cd hazelcast-jet
$ bin/jet-start.sh &amp;
$ bin/jet-start.sh &amp;</code></pre></div></div><div class='version-jet4 snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code class=language-jet4 data-lang=jet4>$ cd hazelcast-jet
$ bin/jet-start &amp;
$ bin/jet-start &amp;</code></pre></div></div><p>Check the cluster is up and running:</p><div class='version-jet3 snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code class=language-jet3 data-lang=jet3>$ bin/jet.sh cluster</code></pre></div></div><div class='version-jet4 snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code class=language-jet4 data-lang=jet4>$ bin/jet cluster</code></pre></div></div><p>You should see something like:</p><div class='version-jet3 snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code class=language-jet3 data-lang=jet3>State: ACTIVE
Version: 3.0
Size: 2

ADDRESS                  UUID
[192.168.0.117]:5701     76bea7ba-f032-4c25-ad04-bdef6782f481
[192.168.0.117]:5702     03ecfaa2-be16-41b6-b5cf-eea584d7fb86</code></pre></div></div><div class='version-jet4 snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code class=language-jet4 data-lang=jet4>State: ACTIVE
Version: 4.0
Size: 2

ADDRESS                  UUID
[192.168.0.117]:5701     b9937bba-32aa-48ba-8e32-423aafed763b
[192.168.0.117]:5702     dfeadfb2-3ba5-4d1c-95e7-71a1a3ca4937</code></pre></div></div><p>Change directory to the Beam Examples project and issue following command to submit and execute your
Pipeline on the remote Jet cluster.
Make sure to distribute the input file (file with the words to be counted) to all machines where the
cluster runs. The word count job won&rsquo;t be able to read the data otherwise.</p><pre tabindex=0><code>    $ mvn package exec:java \
        -DskipTests \
        -Dexec.mainClass=org.apache.beam.examples.WordCount \
        -Dexec.args=&#34;\
            --runner=JetRunner \
            --jetServers=192.168.0.117:5701,192.168.0.117:5702 \
            --codeJarPathname=target/word-count-beam-bundled-0.1.jar \
            --inputFile=&lt;INPUT_FILE_AVAILABLE_ON_ALL_CLUSTER_MEMBERS&gt; \
            --output=/tmp/counts&#34; \
        -Pjet-runner
</code></pre><h2 id=pipeline-options-for-the-jet-runner>Pipeline Options for the Jet Runner</h2><div class=table-container-wrapper><table class="table table-bordered"><tr><th>Field</th><th>Description</th><th>Default Value</th></tr><tr><td><code>runner</code></td><td>The pipeline runner to use. This option allows you to determine the pipeline runner at runtime.</td><td>Set to <code>JetRunner</code> to run using Jet.</td></tr><tr><td><code><span class=version-jet3>jetGroupName</span><span class=version-jet4>jetClusterName</span></code></td><td><span class=version-jet3>The name of the Hazelcast Group to join, in essence an ID of the Jet Cluster that
will be used by the Runner. With groups it is possible to create multiple clusters where each cluster has its
own group and doesn't interfere with other clusters.</span>
<span class=version-jet4>The name of the Hazelcast Cluster that will be used by the Runner.</span></td><td><code>jet</code></td></tr><tr><td><code>jetServers</code></td><td>List of the addresses of Jet Cluster members, needed when the Runner doesn't start its own Jet Cluster,
but makes use of an external, independently started one. Takes the form of a comma separated list of ip/hostname-port pairs,
like this: <code>192.168.0.117:5701,192.168.0.117:5702</code></td><td><code>127.0.0.1:5701</code></td></tr><tr><td><code>codeJarPathname</code></td><td>Also a property needed only when using external Jet Clusters, specifies the location of a fat jar
containing all the code that needs to run on the cluster (so at least the pipeline and the runner code). The value
is any string that is accepted by <code>new java.io.File()</code> as a parameter.</td><td>Has no default value.</td></tr><tr><td><code>jetLocalMode</code></td><td>The number of Jet Cluster members that should be started locally by the Runner. If it's <code>0</code>
then the Runner will be using an external cluster. If greater, then the Runner will be using a cluster started by itself.</td><td><code>0</code></td></tr><tr><td><code>jetDefaultParallelism</code></td><td>Local parallelism of Jet members, the number of processors of each vertex of the DAG that will be created on each
Jet Cluster member.</td><td><code>2</code></td></tr><tr><td><code>jetProcessorsCooperative</code></td><td>Boolean flag specifying if Jet Processors for DoFns are allowed to be cooperative (ie. use green threads instead of
dedicated OS ones). If set to true than all such Processors will be cooperative, except when they have no outputs
(so they are assumed to be syncs).</td><td><code>false</code></td></tr></table></div><div class=feedback><p class=update>Last updated on 2024/05/07</p><h3>Have you found everything you were looking for?</h3><p class=description>Was it all useful and clear? Is there anything that you would like to change? Let us know!</p><button class=load-button><a href="https://docs.google.com/forms/d/e/1FAIpQLSfID7abne3GE6k6RdJIyZhPz2Gef7UkpggUEhTIDjjplHuxSA/viewform?usp=header_link" target=_blank>SEND FEEDBACK</a></button></div></div></div><footer class=footer><div class=footer__contained><div class=footer__cols><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col__logo><img src=/images/beam_logo_circle.svg class=footer__logo alt="Beam logo"></div><div class=footer__cols__col__logo><img src=/images/apache_logo_circle.svg class=footer__logo alt="Apache logo"></div></div><div class=footer-wrapper><div class=wrapper-grid><div class=footer__cols__col><div class=footer__cols__col__title>Start</div><div class=footer__cols__col__link><a href=/get-started/beam-overview/>Overview</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-java/>Quickstart (Java)</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-py/>Quickstart (Python)</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-go/>Quickstart (Go)</a></div><div class=footer__cols__col__link><a href=/get-started/downloads/>Downloads</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Docs</div><div class=footer__cols__col__link><a href=/documentation/programming-guide/>Concepts</a></div><div class=footer__cols__col__link><a href=/documentation/pipelines/design-your-pipeline/>Pipelines</a></div><div class=footer__cols__col__link><a href=/documentation/runners/capability-matrix/>Runners</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Community</div><div class=footer__cols__col__link><a href=/contribute/>Contribute</a></div><div class=footer__cols__col__link><a href=https://projects.apache.org/committee.html?beam target=_blank>Team<img src=/images/external-link-icon.png width=14 height=14 alt="External link."></a></div><div class=footer__cols__col__link><a href=/community/presentation-materials/>Media</a></div><div class=footer__cols__col__link><a href=/community/in-person/>Events/Meetups</a></div><div class=footer__cols__col__link><a href=/community/contact-us/>Contact Us</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Resources</div><div class=footer__cols__col__link><a href=/blog/>Blog</a></div><div class=footer__cols__col__link><a href=https://github.com/apache/beam>GitHub</a></div></div></div><div class=footer__bottom>&copy;
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