Modified: samza/site/learn/documentation/latest/jobs/configuration-table.html
URL: 
http://svn.apache.org/viewvc/samza/site/learn/documentation/latest/jobs/configuration-table.html?rev=1740179&r1=1740178&r2=1740179&view=diff
==============================================================================
--- samza/site/learn/documentation/latest/jobs/configuration-table.html 
(original)
+++ samza/site/learn/documentation/latest/jobs/configuration-table.html Wed Apr 
20 18:14:27 2016
@@ -184,6 +184,27 @@
                 </tr>
 
                 <tr>
+                    <td class="property" 
id="job-coordinator-monitor-partition-change">job.coordinator.<br 
/>monitor-partition-change</td>
+                    <td class="default">false</td>
+                    <td class="description">
+                        If you are using Kafka for coordinator stream, this 
configuration enables the Job Coordinator to
+                        detect partition count difference in Kafka input 
topics. On detection, it updates a Gauge
+                        metric of format <span 
class="system">system-name</span>.<span 
class="stream">stream-name</span>.partitionCount,
+                        which indicates the difference in the partition count 
from the initial state. Please note that currently this
+                        feature only works for Kafka-based systems.
+                    </td>
+                </tr>
+
+                <tr>
+                    <td class="property" 
id="job-coordinator-monitor-partition-change-frequency-ms">job.coordinator.<br 
/>monitor-partition-change.frequency.ms</td>
+                    <td class="default">300000</td>
+                    <td class="description">
+                        The frequency at which the input streams' partition 
count change should be detected. This check
+                        can be tuned to be pretty low as partition increase is 
not a common event.
+                    </td>
+                </tr>
+
+                <tr>
                     <td class="property" 
id="job-config-rewriter-class">job.config.rewriter.<br><span 
class="rewriter">rewriter-name</span>.class</td>
                     <td class="default"></td>
                     <td class="description">
@@ -231,6 +252,13 @@
                         </dl>
                     </td>
                 </tr>
+                <tr>
+                    <td class="property" 
id="job-checkpoint-validation-enabled">job.checkpoint.<br>validation.enabled</td>
+                    <td class="default">true</td>
+                    <td class="description">
+                        This setting controls if the job should fail(true) or 
just warn(false) in case the validation of checkpoint partition number fails. 
<br/> <b>CAUTION</b>: this configuration needs to be used w/ care. It should 
only be used as a work-around after the checkpoint has been auto-created with 
wrong number of partitions by mistake.
+                    </td>
+                </tr>
 
                 <tr>
                     <th colspan="3" class="section" id="task"><a 
href="../api/overview.html">Task configuration</a></th>
@@ -1518,10 +1546,15 @@
                     <td class="description">A date format (using Java's 
SimpleDataFormat syntax) appropriate for use in an HDFS Path, which can 
configure time-based bucketing of output files.</td>
                 </tr>
                 <tr>
-                  <td class="property" 
id="hdfs-write-batch-size-bytes">systems.*.producer.write.batch.size.bytes</td>
+                  <td class="property" 
id="hdfs-write-batch-size-bytes">systems.*.producer.hdfs.write.batch.size.bytes</td>
                   <td class="default">268435456</td>
                   <td class="description">The number of bytes of outgoing 
messages to write to each HDFS output file before cutting a new file. Defaults 
to 256MB if not set.</td>
                 </tr>
+                <tr>
+                    <td class="property" 
id="hdfs-write-batch-size-records">systems.*.producer.hdfs.write.batch.size.records</td>
+                    <td class="default">262144</td>
+                    <td class="description">The number of outgoing messages to 
write to each HDFS output file before cutting a new file. Defaults to 262144 if 
not set.</td>
+                </tr>
 
                 <tr>
                     <th colspan="3" class="section" id="task-migration">

Modified: samza/site/learn/documentation/latest/jobs/logging.html
URL: 
http://svn.apache.org/viewvc/samza/site/learn/documentation/latest/jobs/logging.html?rev=1740179&r1=1740178&r2=1740179&view=diff
==============================================================================
--- samza/site/learn/documentation/latest/jobs/logging.html (original)
+++ samza/site/learn/documentation/latest/jobs/logging.html Wed Apr 20 18:14:27 
2016
@@ -176,13 +176,14 @@
 
 <div class="highlight"><pre><code class="bash">-Dsamza.container.name<span 
class="o">=</span>samza-application-master</code></pre></div>
 
-<p>These settings are very useful if you&rsquo;re using a file-based appender. 
For example, you can use a daily rolling appender by configuring log4j.xml like 
this:</p>
+<p>These settings are very useful if you&rsquo;re using a file-based appender. 
For example, you can use a rolling appender to separate log file when it 
reaches certain size by configuring log4j.xml like this:</p>
 
-<div class="highlight"><pre><code class="xml"><span 
class="nt">&lt;appender</span> <span class="na">name=</span><span 
class="s">&quot;RollingAppender&quot;</span> <span 
class="na">class=</span><span 
class="s">&quot;org.apache.log4j.DailyRollingFileAppender&quot;</span><span 
class="nt">&gt;</span>
+<div class="highlight"><pre><code class="xml"><span 
class="nt">&lt;appender</span> <span class="na">name=</span><span 
class="s">&quot;RollingAppender&quot;</span> <span 
class="na">class=</span><span 
class="s">&quot;org.apache.log4j.RollingFileAppender&quot;</span><span 
class="nt">&gt;</span>
    <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;File&quot;</span> <span class="na">value=</span><span 
class="s">&quot;${samza.log.dir}/${samza.container.name}.log&quot;</span> <span 
class="nt">/&gt;</span>
-   <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;DatePattern&quot;</span> <span class="na">value=</span><span 
class="s">&quot;&#39;.&#39;yyyy-MM-dd&quot;</span> <span class="nt">/&gt;</span>
+   <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;MaxFileSize&quot;</span> <span class="na">value=</span><span 
class="s">&quot;256MB&quot;</span> <span class="nt">/&gt;</span>
+   <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;MaxBackupIndex&quot;</span> <span class="na">value=</span><span 
class="s">&quot;20&quot;</span> <span class="nt">/&gt;</span>
    <span class="nt">&lt;layout</span> <span class="na">class=</span><span 
class="s">&quot;org.apache.log4j.PatternLayout&quot;</span><span 
class="nt">&gt;</span>
-    <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;ConversionPattern&quot;</span> <span 
class="na">value=</span><span class="s">&quot;%d{yyyy-MM-dd HH:mm:ss} %c{1} 
[%p] %m%n&quot;</span> <span class="nt">/&gt;</span>
+    <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;ConversionPattern&quot;</span> <span 
class="na">value=</span><span class="s">&quot;%d{yyyy-MM-dd HH:mm:ss.SSS} [%t] 
%c{1} [%p] %m%n&quot;</span> <span class="nt">/&gt;</span>
    <span class="nt">&lt;/layout&gt;</span>
 <span class="nt">&lt;/appender&gt;</span></code></pre></div>
 
@@ -211,7 +212,7 @@
    <span class="c">&lt;!-- optional --&gt;</span>
    <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;StreamName&quot;</span> <span class="na">value=</span><span 
class="s">&quot;EpicStreamName&quot;</span><span class="nt">/&gt;</span>
    <span class="nt">&lt;layout</span> <span class="na">class=</span><span 
class="s">&quot;org.apache.log4j.PatternLayout&quot;</span><span 
class="nt">&gt;</span>
-     <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;ConversionPattern&quot;</span> <span 
class="na">value=</span><span class="s">&quot;%X{containerName} %X{jobName} 
%X{jobId} %d{yyyy-MM-dd HH:mm:ss} %c{1} [%p] %m%n&quot;</span> <span 
class="nt">/&gt;</span>
+     <span class="nt">&lt;param</span> <span class="na">name=</span><span 
class="s">&quot;ConversionPattern&quot;</span> <span 
class="na">value=</span><span class="s">&quot;%X{containerName} %X{jobName} 
%X{jobId} %d{yyyy-MM-dd HH:mm:ss.SSS} [%t] %c{1} [%p] %m%n&quot;</span> <span 
class="nt">/&gt;</span>
    <span class="nt">&lt;/layout&gt;</span>
 <span class="nt">&lt;/appender&gt;</span></code></pre></div>
 

Modified: samza/site/learn/documentation/latest/yarn/yarn-host-affinity.html
URL: 
http://svn.apache.org/viewvc/samza/site/learn/documentation/latest/yarn/yarn-host-affinity.html?rev=1740179&r1=1740178&r2=1740179&view=diff
==============================================================================
--- samza/site/learn/documentation/latest/yarn/yarn-host-affinity.html 
(original)
+++ samza/site/learn/documentation/latest/yarn/yarn-host-affinity.html Wed Apr 
20 18:14:27 2016
@@ -145,7 +145,7 @@
 
 <p>In Samza, containers are the units of physical parallelism that runs on a 
set of machines. Each container is essentially a process that runs one or more 
stream tasks. Each task instance consumes one or more partitions of the input 
streams and is associated with its own durable data store. </p>
 
-<p>We define a <em>Stateful Samza Job</em> as the Samza job that uses a 
key-value store in its implementation, alone with an associated changelog 
stream. In stateful samza jobs, there is a 1:1 mapping between the task 
instance and the data store. Since the allocation of containers to machines in 
the Yarn cluster is completely left to Yarn, Samza does not guarantee that a 
container (and hence, its associated task(s)) gets deployed on the same 
machine. Containers can get shuffled in any of the following cases:</p>
+<p>We define a <em>Stateful Samza Job</em> as the Samza job that uses a 
key-value store in its implementation, along with an associated changelog 
stream. In stateful samza jobs, a task may be configured to use multiple 
stores. For each store there is a 1:1 mapping between the task instance and the 
data store. Since the allocation of containers to machines in the Yarn cluster 
is completely left to Yarn, Samza does not guarantee that a container (and 
hence, its associated task(s)) gets deployed on the same machine. Containers 
can get shuffled in any of the following cases:</p>
 
 <ol>
 <li>When a job is upgraded by pointing <code>yarn.package.path</code> to the 
new package path and re-submitted.</li>
@@ -155,7 +155,7 @@
 
 <p>In any of the above cases, the task&rsquo;s co-located data needs to be 
restored every time a container starts-up. Restoring data each time can be 
expensive, especially for applications that have a large data set. This 
behavior slows the start-up time for the job so much that the job is no longer 
&ldquo;near realtime&rdquo;. Furthermore, if multiple stateful samza jobs 
restart around the same time in the cluster and they all share the same 
changelog system, then it is possible to quickly saturate the changelog 
system&rsquo;s network and cause a DDoS.</p>
 
-<p>For instance, consider a Samza job performing a Stream-Table join. 
Typically, such a job requires the dataset to be available on all processors 
before they begin processing the input stream. The dataset is usually large 
(order &gt; 1TB) read-only data that will be used to join or add attributes to 
incoming messages. The job may initialize this cache by populated with data 
directly from a remote store or changelog stream. This cache initialization 
happens each time the container is restarted. This causes significant latency 
during job start-up.</p>
+<p>For instance, consider a Samza job performing a Stream-Table join. 
Typically, such a job requires the dataset to be available on all processors 
before they begin processing the input stream. The dataset is usually large 
(order &gt; 1TB) read-only data that will be used to join or add attributes to 
incoming messages. The job may initialize this cache by populating it with data 
directly from a remote store or changelog stream. This cache initialization 
happens each time the container is restarted. This causes significant latency 
during job start-up.</p>
 
 <p>The solution, then, is to simply persist the state store on the machine in 
which the container process is executing and re-allocate the same host for the 
container each time the job is restarted, in order to re-use the persisted 
state. Thus, the ability of Samza to allocate a container to the same machine 
across job restarts is referred to as <strong><em>host-affinity</em></strong>. 
Samza leverages host-affinity to enhance our support for local state re-use.</p>
 
@@ -172,20 +172,19 @@ ls <span class="k">${</span><span class=
 
 <p><img src="/img/latest/learn/documentation/yarn/samza-host-affinity.png" 
alt="samza-host-affinity"></p>
 
-<p>When a container is <em>cleanly shutdown</em>, Samza also writes the last 
materialized offset from the changelog stream to the checksumed file on disk. 
Thus, there is an <em>OFFSET</em> file associated with each state stores&#39; 
changelog partitions, that is consumed by the tasks in the container.</p>
+<p>Each time a task commits, Samza writes the last materialized offset from 
the changelog stream to the checksumed file on disk. This is also done on 
container shutdown. Thus, there is an <em>OFFSET</em> file associated with each 
state stores&#39; changelog partitions, that is consumed by the tasks in the 
container.</p>
 
 <div class="highlight"><pre><code class="bash"><span class="k">${</span><span 
class="nv">LOGGED_STORE_BASE_DIR</span><span class="k">}</span>/<span 
class="k">${</span><span class="nv">job</span><span class="p">.name</span><span 
class="k">}</span>-<span class="k">${</span><span class="nv">job</span><span 
class="p">.id</span><span class="k">}</span>/<span class="k">${</span><span 
class="nv">store</span><span class="p">.name</span><span 
class="k">}</span>/<span class="k">${</span><span class="nv">task</span><span 
class="p">.name</span><span class="k">}</span>/OFFSET</code></pre></div>
 
-<p>Now, when a container restarts on the same machine after a clean shutdown 
and the OFFSET file exists, the Samza container:</p>
+<p>Now, when a container restarts on the same machine after the OFFSET file 
exists, the Samza container:</p>
 
 <ol>
 <li>Opens the persisted store on disk</li>
 <li>Reads the OFFSET file</li>
-<li>Deletes the OFFSET file</li>
 <li>Restores the state store from the OFFSET value</li>
 </ol>
 
-<p>If the OFFSET file doesn&rsquo;t exist, it creates the state store and 
consumes from the oldest offset in the changelog to re-create the state. Note 
that Samza optimistically deletes the OFFSET file in step 3 to prevent data 
from getting corrupted due to any kind of failure during state restoration. 
This significantly reduces the state restoration time on container start-up as 
we no longer consume from the beginning of the changelog stream.</p>
+<p>This significantly reduces the state restoration time on container start-up 
as we no longer consume from the beginning of the changelog stream. If the 
OFFSET file doesn&rsquo;t exist, it creates the state store and consumes from 
the oldest offset in the changelog to re-create the state. Since the OFFSET 
file is written on each commit after flushing the store, the recorded offset is 
guaranteed to correspond to the current contents of the store or some older 
point, but never newer. This gives at least once semantics for state restore. 
Therefore, the changelog entries must be idempotent.</p>
 
 <p>It is necessary to periodically clean-up unused or orphaned state stores on 
the machines to manage disk-space. This feature is being worked on in <a 
href="https://issues.apache.org/jira/browse/SAMZA-656";>SAMZA-656</a>.</p>
 
@@ -226,6 +225,7 @@ Without this configuration, the state st
 <span class="nt">&lt;description&gt;</span>No. of ms to wait between sending a 
SIGTERM and SIGKILL to a container<span class="nt">&lt;/description&gt;</span>
 <span class="nt">&lt;value&gt;</span>600000<span 
class="nt">&lt;/value&gt;</span> <span class="c">&lt;!-- Set it to 10min to 
allow enough time for clean shutdown of containers --&gt;</span>
 <span class="nt">&lt;/property&gt;</span></code></pre></div></p></li>
+<li><p>The Yarn <a 
href="https://hadoop.apache.org/docs/stable/hadoop-project-dist/hadoop-common/RackAwareness.html";>Rack
 Awareness</a> feature is not required and does not change the behavior of 
Samza Host Affinity. However, if Rack Awareness is configured in the cluster, 
make sure the DNSToSwitchMapping implementation is robust. Any failures could 
cause container requests to fall back to the defaultRack. This will cause 
ContainerRequests to not match the preferred host, which will degrade Host 
Affinity. For details, see <a 
href="https://issues.apache.org/jira/browse/SAMZA-886";>SAMZA-866</a></p></li>
 </ol>
 
 <h2 id="configuring-a-samza-job-to-use-host-affinity">Configuring a Samza job 
to use Host Affinity</h2>
@@ -241,7 +241,7 @@ Without this configuration, the state st
 <p>As you have observed, host-affinity cannot be guaranteed all the time due 
to varibale load distribution in the Yarn cluster. Hence, this is a best-effort 
policy that Samza provides. However, certain scenarios are worth calling out 
where these guarantees may be hard to achieve or are not applicable.</p>
 
 <ol>
-<li><em>When the number of containers and/or container-task assignment changes 
across successive application runs</em> - We may be able to re-use local state 
for a subset of partitions. Currently, there is no logic in the Job Coordinator 
to handle partitioning of tasks among containers intelligently. Handling this 
is more involved as relates to <a 
href="https://issues.apache.org/jira/browse/SAMZA-336";>auto-scaling</a> of the 
containers.</li>
+<li><em>When the number of containers and/or container-task assignment changes 
across successive application runs</em> - We may be able to re-use local state 
for a subset of partitions. Currently, there is no logic in the Job Coordinator 
to handle partitioning of tasks among containers intelligently. Handling this 
is more involved as relates to <a 
href="https://issues.apache.org/jira/browse/SAMZA-336";>auto-scaling</a> of the 
containers. However, with <a 
href="https://issues.apache.org/jira/browse/SAMZA-906";>task-container 
mapping</a>, this will work better for typical container count adjustments.</li>
 <li><em>When SystemStreamPartitionGrouper changes across successive 
application runs</em> - When the grouper logic used to distribute the 
partitions across containers changes, the data in the Coordinator Stream (for 
changelog-task partition assignment etc) and the data stores becomes invalid. 
Thus, to be safe, we should flush out all state-related data from the 
Coordinator Stream. An alternative is to overwrite the Task-ChangelogPartition 
assignment message and the Container Locality message in the Coordinator 
Stream, before starting up the job again.</li>
 </ol>
 

Modified: samza/site/sitemap.xml
URL: 
http://svn.apache.org/viewvc/samza/site/sitemap.xml?rev=1740179&r1=1740178&r2=1740179&view=diff
==============================================================================
--- samza/site/sitemap.xml (original)
+++ samza/site/sitemap.xml Wed Apr 20 18:14:27 2016
@@ -20,7 +20,7 @@
 
   <url>
     <loc>http://samza.apache.org/</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     <changefreq>daily</changefreq>
     <priority>1.0</priority>
   </url>
@@ -30,357 +30,357 @@
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/yarn/application-master.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/introduction/architecture.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/introduction/background.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/container/checkpointing.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/contribute/code.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/contribute/coding-guide.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/community/committers.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/introduction/concepts.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/jobs/configuration.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/container/coordinator-stream.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/tutorials/versioned/deploy-samza-job-from-hdfs.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/tutorials/versioned/deploy-samza-to-CDH.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/contribute/design-documents.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/container/event-loop.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/learn/documentation/versioned/index.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/archive/index.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/learn/tutorials/versioned/index.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/index.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/startup/download/index.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/startup/hello-samza/versioned/index.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/comparisons/introduction.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     <loc>http://samza.apache.org/community/irc.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/yarn/isolation.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/container/jmx.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
   <url>
     
<loc>http://samza.apache.org/learn/documentation/versioned/jobs/job-runner.html</loc>
-    <lastmod>2016-02-11</lastmod>
+    <lastmod>2016-04-20</lastmod>
     
     
   </url>
   
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<loc>http://samza.apache.org/learn/documentation/versioned/container/metrics.html</loc>
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<loc>http://samza.apache.org/learn/documentation/versioned/comparisons/mupd8.html</loc>
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<loc>http://samza.apache.org/learn/documentation/versioned/jobs/yarn-jobs.html</loc>
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