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+            
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+              <a href="http://distributedlog.incubator.apache.org/docs/latest/tutorials/messaging-5.html">
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+<div class="col-md-8 col-md-offset-2">
+  <div class="contents topic" id="get-a-distributedlog-cluster-up-running-locally-and-run-the-example-program-in-a-few-simple-steps">
+<p class="topic-title first">Get a DistributedLog cluster up running locally and run the example program in a few simple steps.</p>
+<ul class="simple">
+<li><a class="reference internal" href="#quick-start" id="id1">Quick Start</a><ul>
+<li><a class="reference internal" href="#step-1-download-the-binary" id="id2">Step 1: Download the binary</a></li>
+<li><a class="reference internal" href="#step-2-start-zookeeper-bookkeeper" id="id3">Step 2: Start ZooKeeper &amp; BookKeeper</a></li>
+<li><a class="reference internal" href="#step-3-create-a-distributedlog-namespace" id="id4">Step 3: Create a DistributedLog namespace</a></li>
+<li><a class="reference internal" href="#step-4-create-some-log-streams" id="id5">Step 4: Create some log streams</a></li>
+<li><a class="reference internal" href="#step-5-start-a-write-proxy" id="id6">Step 5: Start a write proxy</a></li>
+<li><a class="reference internal" href="#step-6-tail-reading-records" id="id7">Step 6: Tail reading records</a></li>
+<li><a class="reference internal" href="#step-7-write-some-records" id="id8">Step 7: Write some records</a></li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="section" id="quick-start">
+<h2><a class="toc-backref" href="#id1">Quick Start</a></h2>
+<p>This tutorial assumes you are starting from fresh and have no existing BookKeeper or ZooKeeper data.
+If you already have an existing BookKeeper or ZooKeeper cluster, you can checkout the <a class="reference external" href="../operations/deployment">deploy</a> section
+for more details on how to deploy a production cluster.</p>
+<div class="section" id="step-1-download-the-binary">
+<h3><a class="toc-backref" href="#id2">Step 1: Download the binary</a></h3>
+<p><a class="reference external" href="../download">Download</a> the stable version of <cite>DistributedLog</cite> and un-zip it.</p>
+<pre class="literal-block">
+// Download the binary `distributedlog-all-${gitsha}.zip`
+&gt; unzip distributedlog-all-${gitsha}.zip
+</pre>
+</div>
+<div class="section" id="step-2-start-zookeeper-bookkeeper">
+<h3><a class="toc-backref" href="#id3">Step 2: Start ZooKeeper &amp; BookKeeper</a></h3>
+<p>DistributedLog uses <cite>ZooKeeper</cite> as the metadata store and <cite>BookKeeper</cite> as the log segment store. So
+you need to first start a zookeeper server and a few bookies if you don't already have one. You can
+use the <cite>dlog</cite> script in <cite>distributedlog-service</cite> package to get a standalone bookkeeper sandbox. It
+starts a zookeeper server and <cite>N</cite> bookies (N is 3 by default).</p>
+<pre class="literal-block">
+// Start the local sandbox instance at port `7000`
+&gt; ./distributedlog-service/bin/dlog local 7000
+DistributedLog Sandbox is running now. You could access distributedlog://127.0.0.1:7000
+</pre>
+</div>
+<div class="section" id="step-3-create-a-distributedlog-namespace">
+<h3><a class="toc-backref" href="#id4">Step 3: Create a DistributedLog namespace</a></h3>
+<p>Before using distributedlog, you need to create a distributedlog namespace to store your own list of
+streams. The zkServer for the local sandbox is <cite>127.0.0.1:7000</cite> and the bookkeeper's ledgers path is
+<cite>/ledgers</cite>. You could create a namespace pointing to the corresponding bookkeeper cluster.</p>
+<pre class="literal-block">
+&gt; ./distributedlog-service/bin/dlog admin bind -l /ledgers -s 127.0.0.1:7000 -c distributedlog://127.0.0.1:7000/messaging/my_namespace
+No bookkeeper is bound to distributedlog://127.0.0.1:7000/messaging/my_namespace
+Created binding on distributedlog://127.0.0.1:7000/messaging/my_namespace.
+</pre>
+<p>If you don't want to create a separated namespace, you could use the default namespace <cite>distributedlog://127.0.0.1:7000/messaging/distributedlog</cite>.</p>
+</div>
+<div class="section" id="step-4-create-some-log-streams">
+<h3><a class="toc-backref" href="#id5">Step 4: Create some log streams</a></h3>
+<p>Let's create 5 log streams, prefixed with <cite>messaging-stream-</cite>.</p>
+<pre class="literal-block">
+&gt; ./distributedlog-service/bin/dlog tool create -u distributedlog://127.0.0.1:7000/messaging/my_namespace -r messaging-stream- -e 1-5
+</pre>
+<p>We can now see the streams if we run the <cite>list</cite> command from the tool.</p>
+<pre class="literal-block">
+&gt; ./distributedlog-service/bin/dlog tool list -u distributedlog://127.0.0.1:7000/messaging/my_namespace
+Streams under distributedlog://127.0.0.1:7000/messaging/my_namespace :
+--------------------------------
+messaging-stream-1
+messaging-stream-3
+messaging-stream-2
+messaging-stream-4
+messaging-stream-5
+--------------------------------
+</pre>
+</div>
+<div class="section" id="step-5-start-a-write-proxy">
+<h3><a class="toc-backref" href="#id6">Step 5: Start a write proxy</a></h3>
+<p>Now, lets start a write proxy server that serves writes to distributedlog namespace <cite>distributedlog://127.0.0.1/messaging/my_namespace</cite>. The server listens on 8000 to accept fan-in write requests.</p>
+<pre class="literal-block">
+&gt; ./distributedlog-service/bin/dlog-daemon.sh start writeproxy -p 8000 --shard-id 1 -sp 8001 -u distributedlog://127.0.0.1:7000/messaging/my_namespace -mx -c `pwd`/distributedlog-service/conf/distributedlog_proxy.conf
+</pre>
+<p>From 0.3.51-RC1 and onwards, use the below command to start the write proxy</p>
+<pre class="literal-block">
+&gt; WP_SHARD_ID=1 WP_SERVICE_PORT=8000 WP_STATS_PORT=8001 WP_NAMESPACE='distributedlog://127.0.0.1:7000/messaging/my_namespace' ./distributedlog-service/bin/dlog-daemon.sh start writeproxy
+</pre>
+</div>
+<div class="section" id="step-6-tail-reading-records">
+<h3><a class="toc-backref" href="#id7">Step 6: Tail reading records</a></h3>
+<p>The distributedlog tutorial has a multi-streams reader that will dump out received records to standard output.</p>
+<pre class="literal-block">
+&gt; ./distributedlog-tutorials/distributedlog-basic/bin/runner run com.twitter.distributedlog.basic.MultiReader distributedlog://127.0.0.1:7000/messaging/my_namespace messaging-stream-1,messaging-stream-2,messaging-stream-3,messaging-stream-4,messaging-stream-5
+</pre>
+</div>
+<div class="section" id="step-7-write-some-records">
+<h3><a class="toc-backref" href="#id8">Step 7: Write some records</a></h3>
+<p>The distributedlog tutorial also has a multi-streams writer that will take input from a console and write it out
+as records to the distributedlog write proxy. Each line will be sent as a separate record.</p>
+<p>Run the writer and type a few lines into the console to send to the server.</p>
+<pre class="literal-block">
+&gt; ./distributedlog-tutorials/distributedlog-basic/bin/runner run com.twitter.distributedlog.basic.ConsoleProxyMultiWriter 'inet!127.0.0.1:8000' messaging-stream-1,messaging-stream-2,messaging-stream-3,messaging-stream-4,messaging-stream-5
+</pre>
+<p>If you have each of the above commands running in a different terminal then you should now be able to type messages into the writer terminal and see them appear in the reader terminal.</p>
+</div>
+</div>
+
+
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