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From guozh...@apache.org
Subject [6/8] kafka git commit: MINOR: Improve Streams Dev Guide content on web docs
Date Thu, 21 Dec 2017 19:16:04 GMT
http://git-wip-us.apache.org/repos/asf/kafka/blob/3e2fe17c/docs/streams/developer-guide/app-reset-tool.html
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diff --git a/docs/streams/developer-guide/app-reset-tool.html b/docs/streams/developer-guide/app-reset-tool.html
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+<!--
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements.  See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
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+ Unless required by applicable law or agreed to in writing, software
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+
+<script><!--#include virtual="../../js/templateData.js" --></script>
+
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+  <!-- h1>Developer Guide for Kafka Streams</h1 -->
+  <div class="sub-nav-sticky">
+    <div class="sticky-top">
+      <!-- div style="height:35px">
+        <a href="/{{version}}/documentation/streams/">Introduction</a>
+        <a class="active-menu-item" href="/{{version}}/documentation/streams/developer-guide">Developer Guide</a>
+        <a href="/{{version}}/documentation/streams/core-concepts">Concepts</a>
+        <a href="/{{version}}/documentation/streams/quickstart">Run Demo App</a>
+        <a href="/{{version}}/documentation/streams/tutorial">Tutorial: Write App</a>
+      </div -->
+    </div>
+  </div>
+
+    <div class="section" id="application-reset-tool">
+        <span id="streams-developer-guide-app-reset"></span><h1>Application Reset Tool<a class="headerlink" href="#application-reset-tool" title="Permalink to this headline"></a></h1>
+        <p>You can reset an application and force it to reprocess its data from scratch by using the application reset tool.
+            This can be useful for development and testing, or when fixing bugs.</p>
+        <p>The application reset tool handles the Kafka Streams <a class="reference internal" href="manage-topics.html#streams-developer-guide-topics-user"><span class="std std-ref">user topics</span></a> (input,
+            output, and intermediate topics) and <a class="reference internal" href="manage-topics.html#streams-developer-guide-topics-internal"><span class="std std-ref">internal topics</span></a> differently
+            when resetting the application.</p>
+        <p>Here&#8217;s what the application reset tool does for each topic type:</p>
+        <ul class="simple">
+            <li>Input topics: Reset to the beginning of the topic. This means that it sets the application&#8217;s committed consumer offsets for all partitions to each partition&#8217;s <code class="docutils literal"><span class="pre">earliest</span></code> offset (for consumer group <code class="docutils literal"><span class="pre">application.id</span></code>).</li>
+            <li>Intermediate topics: Skip to the end of the topic, i.e., set the application&#8217;s committed consumer offsets for all partitions to each partition&#8217;s <code class="docutils literal"><span class="pre">logSize</span></code> (for consumer group <code class="docutils literal"><span class="pre">application.id</span></code>).</li>
+            <li>Internal topics: Delete the internal topic (this automatically deletes any committed offsets).</li>
+        </ul>
+        <p>The application reset tool does not:</p>
+        <ul class="simple">
+            <li>Reset output topics of an application. If any output (or intermediate) topics are consumed by downstream
+                applications, it is your responsibility to adjust those downstream applications as appropriate when you reset the
+                upstream application.</li>
+            <li>Reset the local environment of your application instances.  It is your responsibility to delete the local
+                state on any machine on which an application instance was run.  See the instructions in section
+                <a class="reference internal" href="#streams-developer-guide-reset-local-environment"><span class="std std-ref">Step 2: Reset the local environments of your application instances</span></a> on how to do this.</li>
+        </ul>
+        <dl class="docutils">
+            <dt>Prerequisites</dt>
+            <dd><ul class="first last">
+                <li><p class="first">All instances of your application must be stopped. Otherwise, the application may enter an invalid state, crash, or produce incorrect results. You can verify whether the consumer group with ID <code class="docutils literal"><span class="pre">application.id</span></code> is still active by using <code class="docutils literal"><span class="pre">bin/kafka-consumer-groups</span></code>.</p>
+                </li>
+                <li><p class="first">Use this tool with care and double-check its parameters: If you provide wrong parameter values (e.g., typos in <code class="docutils literal"><span class="pre">application.id</span></code>) or specify parameters inconsistently (e.g., specify the wrong input topics for the application), this tool might invalidate the application&#8217;s state or even impact other applications, consumer groups, or your Kafka topics.</p>
+                </li>
+                <li><p class="first">You should manually delete and re-create any intermediate topics before running the application reset tool. This will free up disk space in Kafka brokers.</p>
+                </li>
+                <li><p class="first">You should delete and recreate intermediate topics before running the application reset tool, unless the following applies:</p>
+                    <blockquote>
+                        <div><ul class="simple">
+                            <li>You have external downstream consumers for the application&#8217;s intermediate topics.</li>
+                            <li>You are in a development environment where manually deleting and re-creating intermediate topics is unnecessary.</li>
+                        </ul>
+                        </div></blockquote>
+                </li>
+            </ul>
+            </dd>
+        </dl>
+        <div class="section" id="step-1-run-the-application-reset-tool">
+            <h2>Step 1: Run the application reset tool<a class="headerlink" href="#step-1-run-the-application-reset-tool" title="Permalink to this headline"></a></h2>
+            <p>Invoke the application reset tool from the command line</p>
+            <div class="highlight-bash"><div class="highlight"><pre><span></span>&lt;path-to-kafka&gt;/bin/kafka-streams-application-reset
+</pre></div>
+            </div>
+            <p>The tool accepts the following parameters:</p>
+            <div class="highlight-bash"><div class="highlight"><pre><span></span>Option <span class="o">(</span>* <span class="o">=</span> required<span class="o">)</span>                 Description
+---------------------                 -----------
+* --application-id &lt;String: id&gt;       The Kafka Streams application ID
+                                        <span class="o">(</span>application.id<span class="o">)</span>.
+--bootstrap-servers &lt;String: urls&gt;    Comma-separated list of broker urls with
+                                        format: HOST1:PORT1,HOST2:PORT2
+                                        <span class="o">(</span>default: localhost:9092<span class="o">)</span>
+--config-file &lt;String: file name&gt;     Property file containing configs to be
+                                        passed to admin clients and embedded
+                                        consumer.
+--dry-run                             Display the actions that would be
+                                        performed without executing the reset
+                                        commands.
+--input-topics &lt;String: list&gt;         Comma-separated list of user input
+                                        topics. For these topics, the tool will
+                                        reset the offset to the earliest
+                                        available offset.
+--intermediate-topics &lt;String: list&gt;  Comma-separated list of intermediate user
+                                        topics <span class="o">(</span>topics used in the through<span class="o">()</span>
+                                        method<span class="o">)</span>. For these topics, the tool
+                                        will skip to the end.
+--zookeeper                           Zookeeper option is deprecated by
+                                        bootstrap.servers, as the reset tool
+                                        would no longer access Zookeeper
+                                        directly.
+</pre></div>
+            </div>
+            <p>Parameters can be combined as needed.  For example, if you want to restart an application from an
+                empty internal state, but not reprocess previous data, simply omit the parameters <code class="docutils literal"><span class="pre">--input-topics</span></code> and
+                <code class="docutils literal"><span class="pre">--intermediate-topics</span></code>.</p>
+        </div>
+        <div class="section" id="step-2-reset-the-local-environments-of-your-application-instances">
+            <span id="streams-developer-guide-reset-local-environment"></span><h2>Step 2: Reset the local environments of your application instances<a class="headerlink" href="#step-2-reset-the-local-environments-of-your-application-instances" title="Permalink to this headline"></a></h2>
+            <p>For a complete application reset, you must delete the application&#8217;s local state directory on any machines where the
+                application instance was run. You must do this before restarting an application instance on the same machine.  You can
+                use either of these methods:</p>
+            <ul class="simple">
+                <li>The API method <code class="docutils literal"><span class="pre">KafkaStreams#cleanUp()</span></code> in your application code.</li>
+                <li>Manually delete the corresponding local state directory (default location: <code class="docutils literal"><span class="pre">/var/lib/kafka-streams/&lt;application.id&gt;</span></code>). For more information, see <a class="reference internal" href="../javadocs.html#streams-javadocs"><span class="std std-ref">state.dir</span></a> StreamsConfig class.</li>
+            </ul>
+</div>
+</div>
+
+
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http://git-wip-us.apache.org/repos/asf/kafka/blob/3e2fe17c/docs/streams/developer-guide/config-streams.html
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+<!--
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements.  See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+-->
+
+<script><!--#include virtual="../../js/templateData.js" --></script>
+
+<script id="content-template" type="text/x-handlebars-template">
+  <!-- h1>Developer Guide for Kafka Streams</h1 -->
+  <div class="sub-nav-sticky">
+    <div class="sticky-top">
+      <!-- div style="height:35px">
+        <a href="/{{version}}/documentation/streams/">Introduction</a>
+        <a class="active-menu-item" href="/{{version}}/documentation/streams/developer-guide">Developer Guide</a>
+        <a href="/{{version}}/documentation/streams/core-concepts">Concepts</a>
+        <a href="/{{version}}/documentation/streams/quickstart">Run Demo App</a>
+        <a href="/{{version}}/documentation/streams/tutorial">Tutorial: Write App</a>
+      </div -->
+    </div>
+  </div>
+
+
+  <div class="section" id="configuring-a-streams-application">
+    <span id="streams-developer-guide-configuration"></span><h1>Configuring a Streams Application<a class="headerlink" href="#configuring-a-streams-application" title="Permalink to this headline"></a></h1>
+    <p>Kafka and Kafka Streams configuration options must be configured before using Streams. You can configure Kafka Streams by specifying parameters in a <code class="docutils literal"><span class="pre">StreamsConfig</span></code> instance.</p>
+    <ol class="arabic">
+      <li><p class="first">Create a <code class="docutils literal"><span class="pre">java.util.Properties</span></code> instance.</p>
+      </li>
+      <li><p class="first">Set the <a class="reference internal" href="#streams-developer-guide-required-configs"><span class="std std-ref">parameters</span></a>.</p>
+      </li>
+      <li><p class="first">Construct a <code class="docutils literal"><span class="pre">StreamsConfig</span></code> instance from the <code class="docutils literal"><span class="pre">Properties</span></code> instance. For example:</p>
+        <div class="highlight-java"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">java.util.Properties</span><span class="o">;</span>
+<span class="kn">import</span> <span class="nn">org.apache.kafka.streams.StreamsConfig</span><span class="o">;</span>
+
+<span class="n">Properties</span> <span class="n">settings</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Properties</span><span class="o">();</span>
+<span class="c1">// Set a few key parameters</span>
+<span class="n">settings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">APPLICATION_ID_CONFIG</span><span class="o">,</span> <span class="s">&quot;my-first-streams-application&quot;</span><span class="o">);</span>
+<span class="n">settings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">BOOTSTRAP_SERVERS_CONFIG</span><span class="o">,</span> <span class="s">&quot;kafka-broker1:9092&quot;</span><span class="o">);</span>
+<span class="c1">// Any further settings</span>
+<span class="n">settings</span><span class="o">.</span><span class="na">put</span><span class="o">(...</span> <span class="o">,</span> <span class="o">...);</span>
+
+<span class="c1">// Create an instance of StreamsConfig from the Properties instance</span>
+<span class="n">StreamsConfig</span> <span class="n">config</span> <span class="o">=</span> <span class="k">new</span> <span class="n">StreamsConfig</span><span class="o">(</span><span class="n">settings</span><span class="o">);</span>
+</pre></div>
+        </div>
+      </li>
+    </ol>
+    <div class="section" id="configuration-parameter-reference">
+      <span id="streams-developer-guide-required-configs"></span><h2>Configuration parameter reference<a class="headerlink" href="#configuration-parameter-reference" title="Permalink to this headline"></a></h2>
+      <p>This section contains the most common Streams configuration parameters. For a full reference, see the <a class="reference external" href="/current/streams/javadocs/index.html">Streams</a> and <a class="reference external" href="/current/clients/javadocs/index.html">Client</a> Javadocs.</p>
+      <div class="contents local topic" id="contents">
+        <ul class="simple">
+          <li><a class="reference internal" href="#required-configuration-parameters" id="id3">Required configuration parameters</a><ul>
+            <li><a class="reference internal" href="#application-id" id="id4">application.id</a></li>
+            <li><a class="reference internal" href="#bootstrap-servers" id="id5">bootstrap.servers</a></li>
+          </ul>
+          </li>
+          <li><a class="reference internal" href="#optional-configuration-parameters" id="id6">Optional configuration parameters</a><ul>
+            <li><a class="reference internal" href="#default-deserialization-exception-handler" id="id7">default.deserialization.exception.handler</a></li>
+            <li><a class="reference internal" href="#default-key-serde" id="id8">default.key.serde</a></li>
+            <li><a class="reference internal" href="#default-value-serde" id="id9">default.value.serde</a></li>
+            <li><a class="reference internal" href="#num-standby-replicas" id="id10">num.standby.replicas</a></li>
+            <li><a class="reference internal" href="#num-stream-threads" id="id11">num.stream.threads</a></li>
+            <li><a class="reference internal" href="#partition-grouper" id="id12">partition.grouper</a></li>
+            <li><a class="reference internal" href="#replication-factor" id="id13">replication.factor</a></li>
+            <li><a class="reference internal" href="#state-dir" id="id14">state.dir</a></li>
+            <li><a class="reference internal" href="#timestamp-extractor" id="id15">timestamp.extractor</a></li>
+          </ul>
+          </li>
+          <li><a class="reference internal" href="#kafka-consumers-and-producer-configuration-parameters" id="id16">Kafka consumers and producer configuration parameters</a><ul>
+            <li><a class="reference internal" href="#naming" id="id17">Naming</a></li>
+            <li><a class="reference internal" href="#default-values" id="id18">Default Values</a></li>
+            <li><a class="reference internal" href="#enable-auto-commit" id="id19">enable.auto.commit</a></li>
+            <li><a class="reference internal" href="#rocksdb-config-setter" id="id20">rocksdb.config.setter</a></li>
+          </ul>
+          </li>
+          <li><a class="reference internal" href="#recommended-configuration-parameters-for-resiliency" id="id21">Recommended configuration parameters for resiliency</a><ul>
+            <li><a class="reference internal" href="#acks" id="id22">acks</a></li>
+            <li><a class="reference internal" href="#id2" id="id23">replication.factor</a></li>
+          </ul>
+          </li>
+        </ul>
+      </div>
+      <div class="section" id="required-configuration-parameters">
+        <h3><a class="toc-backref" href="#id3">Required configuration parameters</a><a class="headerlink" href="#required-configuration-parameters" title="Permalink to this headline"></a></h3>
+        <p>Here are the required Streams configuration parameters.</p>
+        <table border="1" class="non-scrolling-table docutils">
+          <colgroup>
+            <col width="20%" />
+            <col width="5%" />
+            <col width="7%" />
+            <col width="38%" />
+            <col width="31%" />
+          </colgroup>
+          <thead valign="bottom">
+          <tr class="row-odd"><th class="head">Parameter Name</th>
+            <th class="head">Importance</th>
+            <th class="head" colspan="2">Description</th>
+            <th class="head">Default Value</th>
+          </tr>
+          </thead>
+          <tbody valign="top">
+          <tr class="row-even"><td>application.id</td>
+            <td>Required</td>
+            <td colspan="2">An identifier for the stream processing application.  Must be unique within the Kafka cluster.</td>
+            <td>None</td>
+          </tr>
+          <tr class="row-odd"><td>bootstrap.servers</td>
+            <td>Required</td>
+            <td colspan="2">A list of host/port pairs to use for establishing the initial connection to the Kafka cluster.</td>
+            <td>None</td>
+          </tr>
+          </tbody>
+        </table>
+        <div class="section" id="application-id">
+          <h4><a class="toc-backref" href="#id4">application.id</a><a class="headerlink" href="#application-id" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>(Required) The application ID. Each stream processing application must have a unique ID. The same ID must be given to
+              all instances of the application.  It is recommended to use only alphanumeric characters, <code class="docutils literal"><span class="pre">.</span></code> (dot), <code class="docutils literal"><span class="pre">-</span></code> (hyphen), and <code class="docutils literal"><span class="pre">_</span></code> (underscore). Examples: <code class="docutils literal"><span class="pre">&quot;hello_world&quot;</span></code>, <code class="docutils literal"><span class="pre">&quot;hello_world-v1.0.0&quot;</span></code></p>
+              <p>This ID is used in the following places to isolate resources used by the application from others:</p>
+              <ul class="simple">
+                <li>As the default Kafka consumer and producer <code class="docutils literal"><span class="pre">client.id</span></code> prefix</li>
+                <li>As the Kafka consumer <code class="docutils literal"><span class="pre">group.id</span></code> for coordination</li>
+                <li>As the name of the subdirectory in the state directory (cf. <code class="docutils literal"><span class="pre">state.dir</span></code>)</li>
+                <li>As the prefix of internal Kafka topic names</li>
+              </ul>
+              <dl class="docutils">
+                <dt>Tip:</dt>
+                <dd>When an application is updated, the <code class="docutils literal"><span class="pre">application.id</span></code> should be changed unless you want to reuse the existing data in internal topics and state stores.
+                  For example, you could embed the version information within <code class="docutils literal"><span class="pre">application.id</span></code>, as <code class="docutils literal"><span class="pre">my-app-v1.0.0</span></code> and <code class="docutils literal"><span class="pre">my-app-v1.0.2</span></code>.</dd>
+              </dl>
+            </div></blockquote>
+        </div>
+        <div class="section" id="bootstrap-servers">
+          <h4><a class="toc-backref" href="#id5">bootstrap.servers</a><a class="headerlink" href="#bootstrap-servers" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>(Required) The Kafka bootstrap servers. This is the same <a class="reference external" href="http://kafka.apache.org/documentation.html#producerconfigs">setting</a> that is used by the underlying producer and consumer clients to connect to the Kafka cluster.
+              Example: <code class="docutils literal"><span class="pre">&quot;kafka-broker1:9092,kafka-broker2:9092&quot;</span></code>.</p>
+              <dl class="docutils">
+                <dt>Tip:</dt>
+                <dd>Kafka Streams applications can only communicate with a single Kafka cluster specified by this config value.
+                  Future versions of Kafka Streams will support connecting to different Kafka clusters for reading input
+                  streams and writing output streams.</dd>
+              </dl>
+            </div></blockquote>
+        </div>
+      </div>
+      <div class="section" id="optional-configuration-parameters">
+        <span id="streams-developer-guide-optional-configs"></span><h3><a class="toc-backref" href="#id6">Optional configuration parameters</a><a class="headerlink" href="#optional-configuration-parameters" title="Permalink to this headline"></a></h3>
+        <p>Here are the optional <a class="reference internal" href="../javadocs.html#streams-javadocs"><span class="std std-ref">Streams configuration parameters</span></a>, sorted by level of importance:</p>
+        <blockquote>
+          <div><ul class="simple">
+            <li>High: These parameters can have a significant impact on performance. Take care when deciding the values of these parameters.</li>
+            <li>Medium: These parameters can have some impact on performance. Your specific environment will determine how much tuning effort should be focused on these parameters.</li>
+            <li>Low: These parameters have a less general or less significant impact on performance.</li>
+          </ul>
+          </div></blockquote>
+        <table border="1" class="non-scrolling-table docutils">
+          <colgroup>
+            <col width="20%" />
+            <col width="5%" />
+            <col width="7%" />
+            <col width="38%" />
+            <col width="31%" />
+          </colgroup>
+          <thead valign="bottom">
+          <tr class="row-odd"><th class="head">Parameter Name</th>
+            <th class="head">Importance</th>
+            <th class="head" colspan="2">Description</th>
+            <th class="head">Default Value</th>
+          </tr>
+          </thead>
+          <tbody valign="top">
+          <tr class="row-even"><td>application.server</td>
+            <td>Low</td>
+            <td colspan="2">A host:port pair pointing to an embedded user defined endpoint that can be used for discovering the locations of
+              state stores within a single Kafka Streams application. The value of this must be different for each instance
+              of the application.</td>
+            <td>the empty string</td>
+          </tr>
+          <tr class="row-odd"><td>buffered.records.per.partition</td>
+            <td>Low</td>
+            <td colspan="2">The maximum number of records to buffer per partition.</td>
+            <td>1000</td>
+          </tr>
+          <tr class="row-even"><td>cache.max.bytes.buffering</td>
+            <td>Medium</td>
+            <td colspan="2">Maximum number of memory bytes to be used for record caches across all threads.</td>
+            <td>10485760 bytes</td>
+          </tr>
+          <tr class="row-odd"><td>client.id</td>
+            <td>Medium</td>
+            <td colspan="2">An ID string to pass to the server when making requests.
+              (This setting is passed to the consumer/producer clients used internally by Kafka Streams.)</td>
+            <td>the empty string</td>
+          </tr>
+          <tr class="row-even"><td>commit.interval.ms</td>
+            <td>Low</td>
+            <td colspan="2">The frequency with which to save the position (offsets in source topics) of tasks.</td>
+            <td>30000 milliseconds</td>
+          </tr>
+          <tr class="row-odd"><td>default.deserialization.exception.handler</td>
+            <td>Medium</td>
+            <td colspan="2">Exception handling class that implements the <code class="docutils literal"><span class="pre">DeserializationExceptionHandler</span></code> interface.</td>
+            <td>30000 milliseconds</td>
+          </tr>
+          <tr class="row-even"><td>key.serde</td>
+            <td>Medium</td>
+            <td colspan="2">Default serializer/deserializer class for record keys, implements the <code class="docutils literal"><span class="pre">Serde</span></code> interface (see also value.serde).</td>
+            <td><code class="docutils literal"><span class="pre">Serdes.ByteArray().getClass().getName()</span></code></td>
+          </tr>
+          <tr class="row-odd"><td>metric.reporters</td>
+            <td>Low</td>
+            <td colspan="2">A list of classes to use as metrics reporters.</td>
+            <td>the empty list</td>
+          </tr>
+          <tr class="row-even"><td>metrics.num.samples</td>
+            <td>Low</td>
+            <td colspan="2">The number of samples maintained to compute metrics.</td>
+            <td>2</td>
+          </tr>
+          <tr class="row-odd"><td>metrics.recording.level</td>
+            <td>Low</td>
+            <td colspan="2">The highest recording level for metrics.</td>
+            <td><code class="docutils literal"><span class="pre">INFO</span></code></td>
+          </tr>
+          <tr class="row-even"><td>metrics.sample.window.ms</td>
+            <td>Low</td>
+            <td colspan="2">The window of time a metrics sample is computed over.</td>
+            <td>30000 milliseconds</td>
+          </tr>
+          <tr class="row-odd"><td>num.standby.replicas</td>
+            <td>Medium</td>
+            <td colspan="2">The number of standby replicas for each task.</td>
+            <td>0</td>
+          </tr>
+          <tr class="row-even"><td>num.stream.threads</td>
+            <td>Medium</td>
+            <td colspan="2">The number of threads to execute stream processing.</td>
+            <td>1</td>
+          </tr>
+          <tr class="row-odd"><td>partition.grouper</td>
+            <td>Low</td>
+            <td colspan="2">Partition grouper class that implements the <code class="docutils literal"><span class="pre">PartitionGrouper</span></code> interface.</td>
+            <td>See <a class="reference internal" href="#streams-developer-guide-partition-grouper"><span class="std std-ref">Partition Grouper</span></a></td>
+          </tr>
+          <tr class="row-even"><td>poll.ms</td>
+            <td>Low</td>
+            <td colspan="2">The amount of time in milliseconds to block waiting for input.</td>
+            <td>100 milliseconds</td>
+          </tr>
+          <tr class="row-odd"><td>replication.factor</td>
+            <td>High</td>
+            <td colspan="2">The replication factor for changelog topics and repartition topics created by the application.</td>
+            <td>1</td>
+          </tr>
+          <tr class="row-even"><td>state.cleanup.delay.ms</td>
+            <td>Low</td>
+            <td colspan="2">The amount of time in milliseconds to wait before deleting state when a partition has migrated.</td>
+            <td>6000000 milliseconds</td>
+          </tr>
+          <tr class="row-odd"><td>state.dir</td>
+            <td>High</td>
+            <td colspan="2">Directory location for state stores.</td>
+            <td><code class="docutils literal"><span class="pre">/var/lib/kafka-streams</span></code></td>
+          </tr>
+          <tr class="row-even"><td>timestamp.extractor</td>
+            <td>Medium</td>
+            <td colspan="2">Timestamp extractor class that implements the <code class="docutils literal"><span class="pre">TimestampExtractor</span></code> interface.</td>
+            <td>See <a class="reference internal" href="#streams-developer-guide-timestamp-extractor"><span class="std std-ref">Timestamp Extractor</span></a></td>
+          </tr>
+          <tr class="row-odd"><td>value.serde</td>
+            <td>Medium</td>
+            <td colspan="2">Default serializer/deserializer class for record values, implements the <code class="docutils literal"><span class="pre">Serde</span></code> interface (see also key.serde).</td>
+            <td><code class="docutils literal"><span class="pre">Serdes.ByteArray().getClass().getName()</span></code></td>
+          </tr>
+          <tr class="row-even"><td>windowstore.changelog.additional.retention.ms</td>
+            <td>Low</td>
+            <td colspan="2">Added to a windows maintainMs to ensure data is not deleted from the log prematurely. Allows for clock drift.</td>
+            <td>86400000 milliseconds = 1 day</td>
+          </tr>
+          </tbody>
+        </table>
+        <div class="section" id="default-deserialization-exception-handler">
+          <span id="streams-developer-guide-deh"></span><h4><a class="toc-backref" href="#id7">default.deserialization.exception.handler</a><a class="headerlink" href="#default-deserialization-exception-handler" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>The default deserialization exception handler allows you to manage record exceptions that fail to deserialize. This
+              can be caused by corrupt data, incorrect serialization logic, or unhandled record types. These exception handlers
+              are available:</p>
+              <ul class="simple">
+                <li><a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/errors/LogAndContinueExceptionHandler.html">LogAndContinueExceptionHandler</a>:
+                  This handler logs the deserialization exception and then signals the processing pipeline to continue processing more records.
+                  This log-and-skip strategy allows Kafka Streams to make progress instead of failing if there are records that fail
+                  to deserialize.</li>
+                <li><a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/errors/LogAndFailExceptionHandler.html">LogAndFailExceptionHandler</a>.
+                  This handler logs the deserialization exception and then signals the processing pipeline to stop processing more records.</li>
+              </ul>
+            </div></blockquote>
+        </div>
+        <div class="section" id="default-key-serde">
+          <h4><a class="toc-backref" href="#id8">default.key.serde</a><a class="headerlink" href="#default-key-serde" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>The default Serializer/Deserializer class for record keys. Serialization and deserialization in Kafka Streams happens
+              whenever data needs to be materialized, for example:</p>
+              <blockquote>
+                <div><ul class="simple">
+                  <li>Whenever data is read from or written to a <em>Kafka topic</em> (e.g., via the <code class="docutils literal"><span class="pre">StreamsBuilder#stream()</span></code> and <code class="docutils literal"><span class="pre">KStream#to()</span></code> methods).</li>
+                  <li>Whenever data is read from or written to a <em>state store</em>.</li>
+                </ul>
+                  <p>This is discussed in more detail in <a class="reference internal" href="datatypes.html#streams-developer-guide-serdes"><span class="std std-ref">Data types and serialization</span></a>.</p>
+                </div></blockquote>
+            </div></blockquote>
+        </div>
+        <div class="section" id="default-value-serde">
+          <h4><a class="toc-backref" href="#id9">default.value.serde</a><a class="headerlink" href="#default-value-serde" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>The default Serializer/Deserializer class for record values. Serialization and deserialization in Kafka Streams
+              happens whenever data needs to be materialized, for example:</p>
+              <ul class="simple">
+                <li>Whenever data is read from or written to a <em>Kafka topic</em> (e.g., via the <code class="docutils literal"><span class="pre">StreamsBuilder#stream()</span></code> and <code class="docutils literal"><span class="pre">KStream#to()</span></code> methods).</li>
+                <li>Whenever data is read from or written to a <em>state store</em>.</li>
+              </ul>
+              <p>This is discussed in more detail in <a class="reference internal" href="datatypes.html#streams-developer-guide-serdes"><span class="std std-ref">Data types and serialization</span></a>.</p>
+            </div></blockquote>
+        </div>
+        <div class="section" id="num-standby-replicas">
+          <span id="streams-developer-guide-standby-replicas"></span><h4><a class="toc-backref" href="#id10">num.standby.replicas</a><a class="headerlink" href="#num-standby-replicas" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div>The number of standby replicas. Standby replicas are shadow copies of local state stores. Kafka Streams attempts to create the
+              specified number of replicas and keep them up to date as long as there are enough instances running.
+              Standby replicas are used to minimize the latency of task failover.  A task that was previously running on a failed instance is
+              preferred to restart on an instance that has standby replicas so that the local state store restoration process from its
+              changelog can be minimized.  Details about how Kafka Streams makes use of the standby replicas to minimize the cost of
+              resuming tasks on failover can be found in the <a class="reference internal" href="../architecture.html#streams-architecture-state"><span class="std std-ref">State</span></a> section.</div></blockquote>
+        </div>
+        <div class="section" id="num-stream-threads">
+          <h4><a class="toc-backref" href="#id11">num.stream.threads</a><a class="headerlink" href="#num-stream-threads" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div>This specifies the number of stream threads in an instance of the Kafka Streams application. The stream processing code runs in these thread.
+              For more information about Kafka Streams threading model, see <a class="reference internal" href="../architecture.html#streams-architecture-threads"><span class="std std-ref">Threading Model</span></a>.</div></blockquote>
+        </div>
+        <div class="section" id="partition-grouper">
+          <span id="streams-developer-guide-partition-grouper"></span><h4><a class="toc-backref" href="#id12">partition.grouper</a><a class="headerlink" href="#partition-grouper" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div>A partition grouper creates a list of stream tasks from the partitions of source topics, where each created task is assigned with a group of source topic partitions.
+              The default implementation provided by Kafka Streams is <a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/processor/DefaultPartitionGrouper.html">DefaultPartitionGrouper</a>.
+              It assigns each task with one partition for each of the source topic partitions. The generated number of tasks equals the largest
+              number of partitions among the input topics. Usually an application does not need to customize the partition grouper.</div></blockquote>
+        </div>
+        <div class="section" id="replication-factor">
+          <span id="replication-factor-parm"></span><h4><a class="toc-backref" href="#id13">replication.factor</a><a class="headerlink" href="#replication-factor" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>This specifies the replication factor of internal topics that Kafka Streams creates when local states are used or a stream is
+              repartitioned for aggregation. Replication is important for fault tolerance. Without replication even a single broker failure
+              may prevent progress of the stream processing application. It is recommended to use a similar replication factor as source topics.</p>
+              <dl class="docutils">
+                <dt>Recommendation:</dt>
+                <dd>Increase the replication factor to 3 to ensure that the internal Kafka Streams topic can tolerate up to 2 broker failures.
+                  Note that you will require more storage space as well (3 times more with the replication factor of 3).</dd>
+              </dl>
+            </div></blockquote>
+        </div>
+        <div class="section" id="state-dir">
+          <h4><a class="toc-backref" href="#id14">state.dir</a><a class="headerlink" href="#state-dir" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div>The state directory. Kafka Streams persists local states under the state directory. Each application has a subdirectory on its hosting
+              machine that is located under the state directory. The name of the subdirectory is the application ID. The state stores associated
+              with the application are created under this subdirectory.</div></blockquote>
+        </div>
+        <div class="section" id="timestamp-extractor">
+          <span id="streams-developer-guide-timestamp-extractor"></span><h4><a class="toc-backref" href="#id15">timestamp.extractor</a><a class="headerlink" href="#timestamp-extractor" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>A timestamp extractor pulls a timestamp from an instance of <a class="reference external" href="/4.0.0/clients/src/main/java/org/apache/kafka/clients/consumer/ConsumerRecord.html">ConsumerRecord</a>.
+              Timestamps are used to control the progress of streams.</p>
+              <p>The default extractor is
+                <a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/processor/FailOnInvalidTimestamp.html">FailOnInvalidTimestamp</a>.
+                This extractor retrieves built-in timestamps that are automatically embedded into Kafka messages by the Kafka producer
+                client since
+                <a class="reference external" href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-32+-+Add+timestamps+to+Kafka+message">Kafka version 0.10</a>.
+                Depending on the setting of Kafka&#8217;s server-side <code class="docutils literal"><span class="pre">log.message.timestamp.type</span></code> broker and <code class="docutils literal"><span class="pre">message.timestamp.type</span></code> topic parameters,
+                this extractor provides you with:</p>
+              <ul class="simple">
+                <li><strong>event-time</strong> processing semantics if <code class="docutils literal"><span class="pre">log.message.timestamp.type</span></code> is set to <code class="docutils literal"><span class="pre">CreateTime</span></code> aka &#8220;producer time&#8221;
+                  (which is the default).  This represents the time when a Kafka producer sent the original message.  If you use Kafka&#8217;s
+                  official producer client, the timestamp represents milliseconds since the epoch.</li>
+                <li><strong>ingestion-time</strong> processing semantics if <code class="docutils literal"><span class="pre">log.message.timestamp.type</span></code> is set to <code class="docutils literal"><span class="pre">LogAppendTime</span></code> aka &#8220;broker
+                  time&#8221;.  This represents the time when the Kafka broker received the original message, in milliseconds since the epoch.</li>
+              </ul>
+              <p>The <code class="docutils literal"><span class="pre">FailOnInvalidTimestamp</span></code> extractor throws an exception if a record contains an invalid (i.e. negative) built-in
+                timestamp, because Kafka Streams would not process this record but silently drop it.  Invalid built-in timestamps can
+                occur for various reasons:  if for example, you consume a topic that is written to by pre-0.10 Kafka producer clients
+                or by third-party producer clients that don&#8217;t support the new Kafka 0.10 message format yet;  another situation where
+                this may happen is after upgrading your Kafka cluster from <code class="docutils literal"><span class="pre">0.9</span></code> to <code class="docutils literal"><span class="pre">0.10</span></code>, where all the data that was generated
+                with <code class="docutils literal"><span class="pre">0.9</span></code> does not include the <code class="docutils literal"><span class="pre">0.10</span></code> message timestamps.</p>
+              <p>If you have data with invalid timestamps and want to process it, then there are two alternative extractors available.
+                Both work on built-in timestamps, but handle invalid timestamps differently.</p>
+              <ul class="simple">
+                <li><a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/processor/LogAndSkipOnInvalidTimestamp.html">LogAndSkipOnInvalidTimestamp</a>:
+                  This extractor logs a warn message and returns the invalid timestamp to Kafka Streams, which will not process but
+                  silently drop the record.
+                  This log-and-skip strategy allows Kafka Streams to make progress instead of failing if there are records with an
+                  invalid built-in timestamp in your input data.</li>
+                <li><a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/processor/UsePreviousTimeOnInvalidTimestamp.html">UsePreviousTimeOnInvalidTimestamp</a>.
+                  This extractor returns the record&#8217;s built-in timestamp if it is valid (i.e. not negative).  If the record does not
+                  have a valid built-in timestamps, the extractor returns the previously extracted valid timestamp from a record of the
+                  same topic partition as the current record as a timestamp estimation.  In case that no timestamp can be estimated, it
+                  throws an exception.</li>
+              </ul>
+              <p>Another built-in extractor is
+                <a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/processor/WallclockTimestampExtractor.html">WallclockTimestampExtractor</a>.
+                This extractor does not actually &#8220;extract&#8221; a timestamp from the consumed record but rather returns the current time in
+                milliseconds from the system clock (think: <code class="docutils literal"><span class="pre">System.currentTimeMillis()</span></code>), which effectively means Streams will operate
+                on the basis of the so-called <strong>processing-time</strong> of events.</p>
+              <p>You can also provide your own timestamp extractors, for instance to retrieve timestamps embedded in the payload of
+                messages.  If you cannot extract a valid timestamp, you can either throw an exception, return a negative timestamp, or
+                estimate a timestamp.  Returning a negative timestamp will result in data loss &#8211; the corresponding record will not be
+                processed but silently dropped.  If you want to estimate a new timestamp, you can use the value provided via
+                <code class="docutils literal"><span class="pre">previousTimestamp</span></code> (i.e., a Kafka Streams timestamp estimation).  Here is an example of a custom
+                <code class="docutils literal"><span class="pre">TimestampExtractor</span></code> implementation:</p>
+              <div class="highlight-java"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">org.apache.kafka.clients.consumer.ConsumerRecord</span><span class="o">;</span>
+<span class="kn">import</span> <span class="nn">org.apache.kafka.streams.processor.TimestampExtractor</span><span class="o">;</span>
+
+<span class="c1">// Extracts the embedded timestamp of a record (giving you &quot;event-time&quot; semantics).</span>
+<span class="kd">public</span> <span class="kd">class</span> <span class="nc">MyEventTimeExtractor</span> <span class="kd">implements</span> <span class="n">TimestampExtractor</span> <span class="o">{</span>
+
+  <span class="nd">@Override</span>
+  <span class="kd">public</span> <span class="kt">long</span> <span class="nf">extract</span><span class="o">(</span><span class="kd">final</span> <span class="n">ConsumerRecord</span><span class="o">&lt;</span><span class="n">Object</span><span class="o">,</span> <span class="n">Object</span><span class="o">&gt;</span> <span class="n">record</span><span class="o">,</span> <span class="kd">final</span> <span class="kt">long</span> <span class="n">previousTimestamp</span><span class="o">)</span> <span class="o">{</span>
+    <span class="c1">// `Foo` is your own custom class, which we assume has a method that returns</span>
+    <span class="c1">// the embedded timestamp (milliseconds since midnight, January 1, 1970 UTC).</span>
+    <span class="kt">long</span> <span class="n">timestamp</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span><span class="o">;</span>
+    <span class="kd">final</span> <span class="n">Foo</span> <span class="n">myPojo</span> <span class="o">=</span> <span class="o">(</span><span class="n">Foo</span><span class="o">)</span> <span class="n">record</span><span class="o">.</span><span class="na">value</span><span class="o">();</span>
+    <span class="k">if</span> <span class="o">(</span><span class="n">myPojo</span> <span class="o">!=</span> <span class="kc">null</span><span class="o">)</span> <span class="o">{</span>
+      <span class="n">timestamp</span> <span class="o">=</span> <span class="n">myPojo</span><span class="o">.</span><span class="na">getTimestampInMillis</span><span class="o">();</span>
+    <span class="o">}</span>
+    <span class="k">if</span> <span class="o">(</span><span class="n">timestamp</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="o">)</span> <span class="o">{</span>
+      <span class="c1">// Invalid timestamp!  Attempt to estimate a new timestamp,</span>
+      <span class="c1">// otherwise fall back to wall-clock time (processing-time).</span>
+      <span class="k">if</span> <span class="o">(</span><span class="n">previousTimestamp</span> <span class="o">&gt;=</span> <span class="mi">0</span><span class="o">)</span> <span class="o">{</span>
+        <span class="k">return</span> <span class="n">previousTimestamp</span><span class="o">;</span>
+      <span class="o">}</span> <span class="k">else</span> <span class="o">{</span>
+        <span class="k">return</span> <span class="n">System</span><span class="o">.</span><span class="na">currentTimeMillis</span><span class="o">();</span>
+      <span class="o">}</span>
+    <span class="o">}</span>
+  <span class="o">}</span>
+
+<span class="o">}</span>
+</pre></div>
+              </div>
+              <p>You would then define the custom timestamp extractor in your Streams configuration as follows:</p>
+              <div class="highlight-java"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">java.util.Properties</span><span class="o">;</span>
+<span class="kn">import</span> <span class="nn">org.apache.kafka.streams.StreamsConfig</span><span class="o">;</span>
+
+<span class="n">Properties</span> <span class="n">streamsConfiguration</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Properties</span><span class="o">();</span>
+<span class="n">streamsConfiguration</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">TIMESTAMP_EXTRACTOR_CLASS_CONFIG</span><span class="o">,</span> <span class="n">MyEventTimeExtractor</span><span class="o">.</span><span class="na">class</span><span class="o">);</span>
+</pre></div>
+              </div>
+            </div></blockquote>
+        </div>
+      </div>
+      <div class="section" id="kafka-consumers-and-producer-configuration-parameters">
+        <h3><a class="toc-backref" href="#id16">Kafka consumers and producer configuration parameters</a><a class="headerlink" href="#kafka-consumers-and-producer-configuration-parameters" title="Permalink to this headline"></a></h3>
+        <p>You can specify parameters for the Kafka <a class="reference external" href="/4.0.0/clients/javadocs/org/apache/kafka/clients/consumer/package-summary.html">consumers</a> and <a class="reference external" href="/4.0.0/clients/javadocs/org/apache/kafka/clients/producer/package-summary.html">producers</a> that are used internally.  The consumer and producer settings
+          are defined by specifying parameters in a <code class="docutils literal"><span class="pre">StreamsConfig</span></code> instance.</p>
+        <p>In this example, the Kafka <a class="reference external" href="/4.0.0/clients/javadocs/org/apache/kafka/clients/consumer/ConsumerConfig.html#SESSION_TIMEOUT_MS_CONFIG">consumer session timeout</a> is configured to be 60000 milliseconds in the Streams settings:</p>
+        <div class="highlight-java"><div class="highlight"><pre><span></span><span class="n">Properties</span> <span class="n">streamsSettings</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Properties</span><span class="o">();</span>
+<span class="c1">// Example of a &quot;normal&quot; setting for Kafka Streams</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">BOOTSTRAP_SERVERS_CONFIG</span><span class="o">,</span> <span class="s">&quot;kafka-broker-01:9092&quot;</span><span class="o">);</span>
+<span class="c1">// Customize the Kafka consumer settings of your Streams application</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">ConsumerConfig</span><span class="o">.</span><span class="na">SESSION_TIMEOUT_MS_CONFIG</span><span class="o">,</span> <span class="mi">60000</span><span class="o">);</span>
+<span class="n">StreamsConfig</span> <span class="n">config</span> <span class="o">=</span> <span class="k">new</span> <span class="n">StreamsConfig</span><span class="o">(</span><span class="n">streamsSettings</span><span class="o">);</span>
+</pre></div>
+        </div>
+        <div class="section" id="naming">
+          <h4><a class="toc-backref" href="#id17">Naming</a><a class="headerlink" href="#naming" title="Permalink to this headline"></a></h4>
+          <p>Some consumer and producer configuration parameters use the same parameter name. For example, <code class="docutils literal"><span class="pre">send.buffer.bytes</span></code> and
+            <code class="docutils literal"><span class="pre">receive.buffer.bytes</span></code> are used to configure TCP buffers; <code class="docutils literal"><span class="pre">request.timeout.ms</span></code> and <code class="docutils literal"><span class="pre">retry.backoff.ms</span></code> control retries
+            for client request. You can avoid duplicate names by prefix parameter names with <code class="docutils literal"><span class="pre">consumer.</span></code> or <code class="docutils literal"><span class="pre">producer</span></code> (e.g., <code class="docutils literal"><span class="pre">consumer.send.buffer.bytes</span></code> and <code class="docutils literal"><span class="pre">producer.send.buffer.bytes</span></code>).</p>
+          <div class="highlight-java"><div class="highlight"><pre><span></span><span class="n">Properties</span> <span class="n">streamsSettings</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Properties</span><span class="o">();</span>
+<span class="c1">// same value for consumer and producer</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="s">&quot;PARAMETER_NAME&quot;</span><span class="o">,</span> <span class="s">&quot;value&quot;</span><span class="o">);</span>
+<span class="c1">// different values for consumer and producer</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="s">&quot;consumer.PARAMETER_NAME&quot;</span><span class="o">,</span> <span class="s">&quot;consumer-value&quot;</span><span class="o">);</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="s">&quot;producer.PARAMETER_NAME&quot;</span><span class="o">,</span> <span class="s">&quot;producer-value&quot;</span><span class="o">);</span>
+<span class="c1">// alternatively, you can use</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">consumerPrefix</span><span class="o">(</span><span class="s">&quot;PARAMETER_NAME&quot;</span><span class="o">),</span> <span class="s">&quot;consumer-value&quot;</span><span class="o">);</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StremasConfig</span><span class="o">.</span><span class="na">producerConfig</span><span class="o">(</span><span class="s">&quot;PARAMETER_NAME&quot;</span><span class="o">),</span> <span class="s">&quot;producer-value&quot;</span><span class="o">);</span>
+</pre></div>
+          </div>
+        </div>
+        <div class="section" id="default-values">
+          <h4><a class="toc-backref" href="#id18">Default Values</a><a class="headerlink" href="#default-values" title="Permalink to this headline"></a></h4>
+          <p>Kafka Streams uses different default values for some of the underlying client configs, which are summarized below. For detailed descriptions
+            of these configs, see <a class="reference external" href="http://kafka.apache.org/0100/documentation.html#producerconfigs">Producer Configs</a>
+            and <a class="reference external" href="http://kafka.apache.org/0100/documentation.html#newconsumerconfigs">Consumer Configs</a>.</p>
+          <table border="1" class="non-scrolling-table docutils">
+            <colgroup>
+              <col width="50%" />
+              <col width="19%" />
+              <col width="31%" />
+            </colgroup>
+            <thead valign="bottom">
+            <tr class="row-odd"><th class="head">Parameter Name</th>
+              <th class="head">Corresponding Client</th>
+              <th class="head">Streams Default</th>
+            </tr>
+            </thead>
+            <tbody valign="top">
+            <tr class="row-even"><td>auto.offset.reset</td>
+              <td>Consumer</td>
+              <td>earliest</td>
+            </tr>
+            <tr class="row-odd"><td>enable.auto.commit</td>
+              <td>Consumer</td>
+              <td>false</td>
+            </tr>
+            <tr class="row-even"><td>linger.ms</td>
+              <td>Producer</td>
+              <td>100</td>
+            </tr>
+            <tr class="row-odd"><td>max.poll.interval.ms</td>
+              <td>Consumer</td>
+              <td>Integer.MAX_VALUE</td>
+            </tr>
+            <tr class="row-even"><td>max.poll.records</td>
+              <td>Consumer</td>
+              <td>1000</td>
+            </tr>
+            <tr class="row-odd"><td>retries</td>
+              <td>Producer</td>
+              <td>10</td>
+            </tr>
+            <tr class="row-even"><td>rocksdb.config.setter</td>
+              <td>Consumer</td>
+              <td>&nbsp;</td>
+            </tr>
+            </tbody>
+          </table>
+        </div>
+        <div class="section" id="enable-auto-commit">
+          <span id="streams-developer-guide-consumer-auto-commit"></span><h4><a class="toc-backref" href="#id19">enable.auto.commit</a><a class="headerlink" href="#enable-auto-commit" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div>The consumer auto commit. To guarantee at-least-once processing semantics and turn off auto commits, Kafka Streams overrides this consumer config
+              value to <code class="docutils literal"><span class="pre">false</span></code>.  Consumers will only commit explicitly via <em>commitSync</em> calls when the Kafka Streams library or a user decides
+              to commit the current processing state.</div></blockquote>
+        </div>
+        <div class="section" id="rocksdb-config-setter">
+          <span id="streams-developer-guide-rocksdb-config"></span><h4><a class="toc-backref" href="#id20">rocksdb.config.setter</a><a class="headerlink" href="#rocksdb-config-setter" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>The RocksDB configuration. Kafka Streams uses RocksDB as the default storage engine for persistent stores. To change the default
+              configuration for RocksDB, implement <code class="docutils literal"><span class="pre">RocksDBConfigSetter</span></code> and provide your custom class via <a class="reference external" href="/current/streams/javadocs/org/apache/kafka/streams/state/RocksDBConfigSetter.html">rocksdb.config.setter</a>.</p>
+              <p>Here is an example that adjusts the memory size consumed by RocksDB.</p>
+              <div class="highlight-java"><div class="highlight"><pre><span></span>    <span class="kd">public</span> <span class="kd">static</span> <span class="kd">class</span> <span class="nc">CustomRocksDBConfig</span> <span class="kd">implements</span> <span class="n">RocksDBConfigSetter</span> <span class="o">{</span>
+
+       <span class="nd">@Override</span>
+       <span class="kd">public</span> <span class="kt">void</span> <span class="nf">setConfig</span><span class="o">(</span><span class="kd">final</span> <span class="n">String</span> <span class="n">storeName</span><span class="o">,</span> <span class="kd">final</span> <span class="n">Options</span> <span class="n">options</span><span class="o">,</span> <span class="kd">final</span> <span class="n">Map</span><span class="o">&lt;</span><span class="n">String</span><span class="o">,</span> <span class="n">Object</span><span class="o">&gt;</span> <span class="n">configs</span><span class="o">)</span> <span class="o">{</span>
+         <span class="c1">// See #1 below.</span>
+         <span class="n">BlockBasedTableConfig</span> <span class="n">tableConfig</span> <span class="o">=</span> <span class="k">new</span> <span class="n">org</span><span class="o">.</span><span class="na">rocksdb</span><span class="o">.</span><span class="na">BlockBasedTableConfig</span><span class="o">();</span>
+         <span class="n">tableConfig</span><span class="o">.</span><span class="na">setBlockCacheSize</span><span class="o">(</span><span class="mi">16</span> <span class="o">*</span> <span class="mi">1024</span> <span class="o">*</span> <span class="mi">1024L</span><span class="o">);</span>
+         <span class="c1">// See #2 below.</span>
+         <span class="n">tableConfig</span><span class="o">.</span><span class="na">setBlockSize</span><span class="o">(</span><span class="mi">16</span> <span class="o">*</span> <span class="mi">1024L</span><span class="o">);</span>
+         <span class="c1">// See #3 below.</span>
+         <span class="n">tableConfig</span><span class="o">.</span><span class="na">setCacheIndexAndFilterBlocks</span><span class="o">(</span><span class="kc">true</span><span class="o">);</span>
+         <span class="n">options</span><span class="o">.</span><span class="na">setTableFormatConfig</span><span class="o">(</span><span class="n">tableConfig</span><span class="o">);</span>
+         <span class="c1">// See #4 below.</span>
+         <span class="n">options</span><span class="o">.</span><span class="na">setMaxWriteBufferNumber</span><span class="o">(</span><span class="mi">2</span><span class="o">);</span>
+       <span class="o">}</span>
+    <span class="o">}</span>
+
+<span class="n">Properties</span> <span class="n">streamsSettings</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Properties</span><span class="o">();</span>
+<span class="n">streamsConfig</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">ROCKSDB_CONFIG_SETTER_CLASS_CONFIG</span><span class="o">,</span> <span class="n">CustomRocksDBConfig</span><span class="o">.</span><span class="na">class</span><span class="o">);</span>
+</pre></div>
+              </div>
+              <dl class="docutils">
+                <dt>Notes for example:</dt>
+                <dd><ol class="first last arabic simple">
+                  <li><code class="docutils literal"><span class="pre">BlockBasedTableConfig</span> <span class="pre">tableConfig</span> <span class="pre">=</span> <span class="pre">new</span> <span class="pre">org.rocksdb.BlockBasedTableConfig();</span></code> Reduce block cache size from the default, shown <a class="reference external" href="https://github.com/apache/kafka/blob/1.0/streams/src/main/java/org/apache/kafka/streams/state/internals/RocksDBStore.java#L81">here</a>,  as the total number of store RocksDB databases is partitions (40) * segments (3) = 120.</li>
+                  <li><code class="docutils literal"><span class="pre">tableConfig.setBlockSize(16</span> <span class="pre">*</span> <span class="pre">1024L);</span></code> Modify the default <a class="reference external" href="https://github.com/apache/kafka/blob/1.0/streams/src/main/java/org/apache/kafka/streams/state/internals/RocksDBStore.java#L82">block size</a> per these instructions from the <a class="reference external" href="https://github.com/facebook/rocksdb/wiki/Memory-usage-in-RocksDB#indexes-and-filter-blocks">RocksDB GitHub</a>.</li>
+                  <li><code class="docutils literal"><span class="pre">tableConfig.setCacheIndexAndFilterBlocks(true);</span></code> Do not let the index and filter blocks grow unbounded. For more information, see the <a class="reference external" href="https://github.com/facebook/rocksdb/wiki/Block-Cache#caching-index-and-filter-blocks">RocksDB GitHub</a>.</li>
+                  <li><code class="docutils literal"><span class="pre">options.setMaxWriteBufferNumber(2);</span></code> See the advanced options in the <a class="reference external" href="https://github.com/facebook/rocksdb/blob/8dee8cad9ee6b70fd6e1a5989a8156650a70c04f/include/rocksdb/advanced_options.h#L103">RocksDB GitHub</a>.</li>
+                </ol>
+                </dd>
+              </dl>
+            </div></blockquote>
+        </div>
+      </div>
+      <div class="section" id="recommended-configuration-parameters-for-resiliency">
+        <h3><a class="toc-backref" href="#id21">Recommended configuration parameters for resiliency</a><a class="headerlink" href="#recommended-configuration-parameters-for-resiliency" title="Permalink to this headline"></a></h3>
+        <p>There are several Kafka and Kafka Streams configuration options that need to be configured explicitly for resiliency in face of broker failures:</p>
+        <table border="1" class="non-scrolling-table docutils">
+          <colgroup>
+            <col width="22%" />
+            <col width="19%" />
+            <col width="10%" />
+            <col width="49%" />
+          </colgroup>
+          <thead valign="bottom">
+          <tr class="row-odd"><th class="head">Parameter Name</th>
+            <th class="head">Corresponding Client</th>
+            <th class="head">Default value</th>
+            <th class="head">Consider setting to</th>
+          </tr>
+          </thead>
+          <tbody valign="top">
+          <tr class="row-even"><td>acks</td>
+            <td>Producer</td>
+            <td><code class="docutils literal"><span class="pre">acks=1</span></code></td>
+            <td><code class="docutils literal"><span class="pre">acks=all</span></code></td>
+          </tr>
+          <tr class="row-odd"><td>replication.factor</td>
+            <td>Streams</td>
+            <td><code class="docutils literal"><span class="pre">1</span></code></td>
+            <td><code class="docutils literal"><span class="pre">3</span></code></td>
+          </tr>
+          <tr class="row-even"><td>min.insync.replicas</td>
+            <td>Broker</td>
+            <td><code class="docutils literal"><span class="pre">1</span></code></td>
+            <td><code class="docutils literal"><span class="pre">2</span></code></td>
+          </tr>
+          </tbody>
+        </table>
+        <p>Increasing the replication factor to 3 ensures that the internal Kafka Streams topic can tolerate up to 2 broker failures. Changing the acks setting to &#8220;all&#8221;
+          guarantees that a record will not be lost as long as one replica is alive. The tradeoff from moving to the default values to the recommended ones is
+          that some performance and more storage space (3x with the replication factor of 3) are sacrificed for more resiliency.</p>
+        <div class="section" id="acks">
+          <h4><a class="toc-backref" href="#id22">acks</a><a class="headerlink" href="#acks" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div><p>The number of acknowledgments that the leader must have received before considering a request complete. This controls
+              the durability of records that are sent. The possible values are:</p>
+              <ul class="simple">
+                <li><code class="docutils literal"><span class="pre">acks=0</span></code> The producer does not wait for acknowledgment from the server and the record is immediately added to the socket buffer and considered sent. No guarantee can be made that the server has received the record in this case, and the <code class="docutils literal"><span class="pre">retries</span></code> configuration will not take effect (as the client won&#8217;t generally know of any failures). The offset returned for each record will always be set to <code class="docutils literal"><span class="pre">-1</span></code>.</li>
+                <li><code class="docutils literal"><span class="pre">acks=1</span></code> The leader writes the record to its local log and responds without waiting for full acknowledgement from all followers. If the leader immediately fails after acknowledging the record, but before the followers have replicated it, then the record will be lost.</li>
+                <li><code class="docutils literal"><span class="pre">acks=all</span></code> The leader waits for the full set of in-sync replicas to acknowledge the record. This guarantees that the record will not be lost if there is at least one in-sync replica alive. This is the strongest available guarantee.</li>
+              </ul>
+              <p>For more information, see the <a class="reference external" href="https://kafka.apache.org/documentation/#producerconfigs">Kafka Producer documentation</a>.</p>
+            </div></blockquote>
+        </div>
+        <div class="section" id="id2">
+          <h4><a class="toc-backref" href="#id23">replication.factor</a><a class="headerlink" href="#id2" title="Permalink to this headline"></a></h4>
+          <blockquote>
+            <div>See the <a class="reference internal" href="#replication-factor-parm"><span class="std std-ref">description here</span></a>.</div></blockquote>
+          <p>You define these settings via <code class="docutils literal"><span class="pre">StreamsConfig</span></code>:</p>
+          <div class="highlight-java"><div class="highlight"><pre><span></span><span class="n">Properties</span> <span class="n">streamsSettings</span> <span class="o">=</span> <span class="k">new</span> <span class="n">Properties</span><span class="o">();</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">REPLICATION_FACTOR_CONFIG</span><span class="o">,</span> <span class="mi">3</span><span class="o">);</span>
+<span class="n">streamsSettings</span><span class="o">.</span><span class="na">put</span><span class="o">(</span><span class="n">StreamsConfig</span><span class="o">.</span><span class="na">producerPrefix</span><span class="o">(</span><span class="n">ProducerConfig</span><span class="o">.</span><span class="na">ACKS_CONFIG</span><span class="o">),</span> <span class="s">&quot;all&quot;</span><span class="o">);</span>
+</pre></div>
+          </div>
+          <div class="admonition note">
+            <p class="first admonition-title">Note</p>
+            <p class="last">A future version of Kafka Streams will allow developers to set their own app-specific configuration settings through
+              <code class="docutils literal"><span class="pre">StreamsConfig</span></code> as well, which can then be accessed through
+              <a class="reference external" href="/4.0.0/streams/javadocs/org/apache/kafka/streams/processor/ProcessorContext.html">ProcessorContext</a>.</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+
+
+               </div>
+              </div>
+              <div class="pagination">
+                <a href="/{{version}}/documentation/streams/developer-guide/write-streams" class="pagination__btn pagination__btn__prev">Previous</a>
+                <a href="/{{version}}/documentation/streams/developer-guide/dsl-api" class="pagination__btn pagination__btn__next">Next</a>
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+                </script>
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+                    <ul class="breadcrumbs">
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+                <div class="p-content"></div>
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