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+<!DOCTYPE html>
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+ -
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Broker for Java</a></li><li>9.6.&#160;Flow to Disk</li></ul>
+
+        <div id="-middle-content">
+          <div class="docbook"><div class="navheader"><table 
summary="Navigation header" width="100%"><tr><th align="center" 
colspan="3">9.6.&#160;Flow to Disk</th></tr><tr><td align="left" width="20%"><a 
accesskey="p" 
href="Java-Broker-Runtime-Close-Connection-When-No-Route.html">Prev</a>&#160;</td><th
 align="center" width="60%">Chapter&#160;9.&#160;Runtime</th><td align="right" 
width="20%">&#160;<a accesskey="n" 
href="Java-Broker-Runtime-Consumers.html">Next</a></td></tr></table><hr 
/></div><div class="section"><div class="titlepage"><div><div><h2 class="title" 
style="clear: both"><a id="Java-Broker-Runtime-Flow-To-Disk"></a>9.6.&#160;Flow 
to Disk</h2></div></div></div><p>Flow to disk limits the amount of <a 
class="link" href="Java-Broker-Runtime-Memory.html" 
title="9.11.&#160;Memory">direct and heap memory</a>
+    that can be occupied by messages. Once this
+    limit is reached any new transient messages and all existing transient 
messages will be
+    transferred to disk. Newly arriving transient messages will continue to go 
to the disk until the
+    cumulative size of all messages falls below the limit once again.</p><p>By 
default the Broker makes 40% of the max direct available memory for messages. 
This memory is
+    divided between all the queues across all virtual hosts defined on the 
Broker with a percentage
+    calculated according to their current queue size. These calculations are 
refreshed periodically
+    by the housekeeping cycle.</p><p>For example if there are two queues, one 
containing 75MB and the second 100MB messages
+    respectively and the Broker has 1GB direct memory with the default of 40% 
available for messages.
+    The first queue will have a target size of 170MB and the second 230MB. 
Once 400MB is taken by
+    messages, messages will begin to flow to disk. New messages will cease to 
flow to disk when
+    their cumulative size falls beneath 400MB.</p><p>Flow to disk is 
configured by Broker context variable
+      <code class="literal">broker.flowToDiskThreshold</code>. It is expressed 
as a size in bytes and defaults
+    to 40% of the JVM maximum heap size.</p><p>Log message <a class="link" 
href="Java-Broker-Appendix-Operation-Logging.html#Java-Broker-Appendix-Operation-Logging-Message-BRK-1014">BRK-1014</a>
 is written when the feature activates. Once the total space of all messages
+    decreases below the threshold, the message <a class="link" 
href="Java-Broker-Appendix-Operation-Logging.html#Java-Broker-Appendix-Operation-Logging-Message-BRK-1015">BRK-1015</a>
 is written
+    to show that the feature is no longer active.</p></div><div 
class="navfooter"><hr /><table summary="Navigation footer" width="100%"><tr><td 
align="left" width="40%"><a accesskey="p" 
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align="left" valign="top" width="40%">9.5.&#160;Closing client connections on 
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align="right" valign="top" 
width="40%">&#160;9.7.&#160;Consumers</td></tr></table></div></div>
+
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+
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+            The Apache Software Foundation; Licensed under
+            the <a href="http://www.apache.org/licenses/LICENSE-2.0";>Apache
+            License, Version 2.0</a>; Apache Qpid, Qpid, Qpid Proton,
+            Proton, Apache, the Apache feather logo, and the Apache Qpid
+            project logo are trademarks of The Apache Software
+            Foundation; All other marks mentioned may be trademarks or
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+<!DOCTYPE html>
+<!--
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+ - "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
+ -
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+ - software distributed under the License is distributed on an
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+              <li><a href="/components/messaging-api/index.html">Qpid 
Messaging API</a></li>
+            </ul>
+          </section>
+
+          <section>
+            <h3>Servers and tools</h3>
+
+            <ul>
+              <li><a href="/components/java-broker/index.html">Broker for 
Java</a></li>
+              <li><a href="/components/cpp-broker/index.html">C++ 
broker</a></li>
+              <li><a href="/components/dispatch-router/index.html">Dispatch 
router</a></li>
+            </ul>
+          </section>
+
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+            <h3>Resources</h3>
+
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+              <li><a href="/dashboard.html">Dashboard</a></li>
+              <li><a 
href="https://cwiki.apache.org/confluence/display/qpid/Index";>Wiki</a></li>
+              <li><a href="/resources.html">More resources</a></li>
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Broker for Java</a></li><li>9.4.&#160;Handing Undeliverable Messages</li></ul>
+
+        <div id="-middle-content">
+          <div class="docbook"><div class="navheader"><table 
summary="Navigation header" width="100%"><tr><th align="center" 
colspan="3">9.4.&#160;Handing Undeliverable Messages</th></tr><tr><td 
align="left" width="20%"><a accesskey="p" 
href="Java-Broker-Runtime-Producer-Transaction-Timeout.html">Prev</a>&#160;</td><th
 align="center" width="60%">Chapter&#160;9.&#160;Runtime</th><td align="right" 
width="20%">&#160;<a accesskey="n" 
href="Java-Broker-Runtime-Close-Connection-When-No-Route.html">Next</a></td></tr></table><hr
 /></div><div class="section"><div class="titlepage"><div><div><h2 
class="title" style="clear: both"><a 
id="Java-Broker-Runtime-Handling-Undeliverable-Messages"></a>9.4.&#160;Handing 
Undeliverable Messages</h2></div></div></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Handling-Undeliverable-Messages-Introduction"></a>9.4.1.&#160;Introduction</h3></div></div></div><p>
 Messages that cannot be delivered successfu
 lly to a consumer (for instance, because the
+   client is using a transacted session and rolls-back the transaction) can be 
made available on
+   the queue again and then subsequently be redelivered, depending on the 
precise session
+   acknowledgement mode and messaging model used by the application. This is 
normally desirable
+   behaviour that contributes to the ability of a system to withstand 
unexpected errors. However, it
+   leaves open the possibility for a message to be repeatedly redelivered 
(potentially indefinitely),
+   consuming system resources and preventing the delivery of other messages. 
Such undeliverable
+   messages are sometimes known as poison messages.</p><p>For an example, 
consider a stock ticker application that has been designed to consume prices
+   contained within JMS TextMessages. What if inadvertently a BytesMessage is 
placed onto the queue?
+   As the ticker application does not expect the BytesMessage, its processing 
might fail and cause it
+   to roll-back the transaction, however the default behavior of the Broker 
would mean that the
+   BytesMessage would be delivered over and over again, preventing the 
delivery of other legitimate
+   messages, until an operator intervenes and removes the erroneous message 
from the queue. </p><p>Qpid has maximum delivery count and dead-letter queue 
(DLQ) features which can be used in
+   concert to construct a system that automatically handles such a condition. 
These features are
+   described in the following sections.</p></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Handling-Undeliverable-Messages-Maximum-Delivery-Count"></a>9.4.2.&#160;Maximum
 Delivery Count</h3></div></div></div><p> Maximum delivery count is a property 
of a queue. If a consumer application is unable to
+   process a message more than the specified number of times, then the broker 
will either route the
+   message to a dead-letter queue (if one has been defined), or will discard 
the message. </p><p> In order for a maximum delivery count to be enforced, the 
consuming client
+    <span class="emphasis"><em>must</em></span> call <a class="link" 
href="http://docs.oracle.com/javaee/6/api/javax/jms/Session.html#rollback()" 
target="_top">Session#rollback()</a> (or <a class="link" 
href="http://docs.oracle.com/javaee/6/api/javax/jms/Session.html#recover()" 
target="_top">Session#recover()</a> if the session is not transacted). It is 
during the Broker's
+   processing of Session#rollback() (or Session#recover()) that if a message 
has been seen
+   at least the maximum number of times then it will move the message to the 
DLQ or discard the
+   message.</p><p>If the consuming client fails in another manner, for 
instance, closes the connection, the
+   message will not be re-routed and consumer application will see the same 
poison message again
+   once it reconnects.</p><p> If the consuming application is using AMQP 
0-9-1, 0-9, or 0-8 protocols, it is necessary to
+   set the client system property <code 
class="varname">qpid.reject.behaviour</code> or connection or binding
+   URL option <code class="varname">rejectbehaviour</code> to the value <code 
class="literal">server</code>.</p><p>It is possible to determine the number of 
times a message has been sent to a consumer via
+   the Management interfaces, but is not possible to determine this 
information from a message client.
+   Specifically, the optional JMS message header <span 
class="property">JMSXDeliveryCount</span> is not
+   supported.</p><p>Maximum Delivery Count can be specified when a new queue 
is created or using the the
+   queue declare property <span 
class="property">x-qpid-maximum-delivery-count</span></p></div><div 
class="section"><div class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Handling-Undeliverable-Messages-Dead-Letter-Queues"></a>9.4.3.&#160;Dead
 Letter Queues (DLQ)</h3></div></div></div><p>A Dead Letter Queue (DLQ) acts as 
an destination for messages that have somehow exceeded the
+   normal bounds of processing and is utilised to prevent disruption to flow 
of other messages. When
+   a DLQ is enabled for a given queue if a consuming client indicates it no 
longer wishes the
+   receive the message (typically by exceeding a Maximum Delivery Count) then 
the message is moved
+   onto the DLQ and removed from the original queue. </p><p>The DLQ feature 
causes generation of a Dead Letter Exchange and a Dead Letter Queue. These
+   are named convention QueueName<span class="emphasis"><em>_DLE</em></span> 
and QueueName<span class="emphasis"><em>_DLQ</em></span>.</p><p>DLQs can be 
enabled when a new queue is created
+   or using the queue declare property <span 
class="property">x-qpid-dlq-enabled</span>.</p><div class="caution" 
style="margin-left: 0.5in; margin-right: 0.5in;"><h3 class="title">Avoid 
excessive queue depth</h3><p>Applications making use of DLQs <span 
class="emphasis"><em>should</em></span> make provision for the frequent
+    examination of messages arriving on DLQs so that both corrective actions 
can be taken to resolve
+    the underlying cause and organise for their timely removal from the DLQ. 
Messages on DLQs
+    consume system resources in the same manner as messages on normal queues 
so excessive queue
+    depths should not be permitted to develop.</p></div></div></div><div 
class="navfooter"><hr /><table summary="Navigation footer" width="100%"><tr><td 
align="left" width="40%"><a accesskey="p" 
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href="Java-Broker-Runtime-Close-Connection-When-No-Route.html">Next</a></td></tr><tr><td
 align="left" valign="top" width="40%">9.3.&#160;Producer Transaction 
Timeout&#160;</td><td align="center" width="20%"><a accesskey="h" 
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valign="top" width="40%">&#160;9.5.&#160;Closing client connections on 
unroutable mandatory messages</td></tr></table></div></div>
+
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+
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+            <li><a href="http://www.apache.org/";>Apache</a></li>
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+            <li><a 
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+            <li><a 
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+          </ul>
+
+          <p id="-legal">
+            Apache Qpid, Messaging built on AMQP; Copyright &#169; 2015
+            The Apache Software Foundation; Licensed under
+            the <a href="http://www.apache.org/licenses/LICENSE-2.0";>Apache
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+            Proton, Apache, the Apache feather logo, and the Apache Qpid
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Broker for Java</a></li><li>9.11.&#160;Memory</li></ul>
+
+        <div id="-middle-content">
+          <div class="docbook"><div class="navheader"><table 
summary="Navigation header" width="100%"><tr><th align="center" 
colspan="3">9.11.&#160;Memory</th></tr><tr><td align="left" width="20%"><a 
accesskey="p" 
href="Java-Broker-Runtime-Connection-Limit.html">Prev</a>&#160;</td><th 
align="center" width="60%">Chapter&#160;9.&#160;Runtime</th><td align="right" 
width="20%">&#160;<a accesskey="n" 
href="Java-Broker-High-Availability.html">Next</a></td></tr></table><hr 
/></div><div class="section"><div class="titlepage"><div><div><h2 class="title" 
style="clear: both"><a 
id="Java-Broker-Runtime-Memory"></a>9.11.&#160;Memory</h2></div></div></div><div
 class="section"><div class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Memory-Introduction"></a>9.11.1.&#160;Introduction</h3></div></div></div><p>
+      Understanding how the Qpid broker uses memory is essential to running a 
high performing and reliable service.
+      A wrongly configured broker can exhibit poor performance or even crash 
with an <code class="literal">OutOfMemoryError</code>.
+      Unfortunately, memory usage is not a simple topic and thus requires some 
in depth explanations.
+      This page should give the required background information to make 
informed decisions on how to configure your broker.
+    </p><p>
+      <a class="xref" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Types" 
title="9.11.2.&#160;Types of Memory">Section&#160;9.11.2, &#8220;Types of 
Memory&#8221;</a> explains the two different kinds of Java memory most relevant 
to the broker.
+      <a class="xref" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Usage" 
title="9.11.3.&#160;Memory Usage in the Broker">Section&#160;9.11.3, 
&#8220;Memory Usage in the Broker&#8221;</a> goes on to explain which parts of 
the broker use what kind of memory.
+      <a class="xref" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Low-Memory" 
title="9.11.4.&#160;Low Memory Conditions">Section&#160;9.11.4, &#8220;Low 
Memory Conditions&#8221;</a> explains what happens when the system runs low on 
memory.
+      <a class="xref" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Defaults" 
title="9.11.5.&#160;Defaults">Section&#160;9.11.5, &#8220;Defaults&#8221;</a> 
lays out the default settings of the Qpid broker.
+      Finally, <a class="xref" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Tuning" 
title="9.11.6.&#160;Memory Tuning the Broker">Section&#160;9.11.6, 
&#8220;Memory Tuning the Broker&#8221;</a> gives some advice on tuning your 
broker.
+    </p></div><div class="section"><div class="titlepage"><div><div><h3 
class="title"><a id="Java-Broker-Runtime-Memory-Types"></a>9.11.2.&#160;Types 
of Memory</h3></div></div></div><p>
+      While Java has a couple of different internal memory types we will focus 
on the two types that are relevant to the Qpid broker.
+      Both of these memory types are taken from the same physical memory (RAM).
+    </p><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a id="d0e6452"></a>9.11.2.1.&#160;Heap</h4></div></div></div><p>
+        Normally, all objects are allocated from Java's heap memory.
+        Once, nothing references an object it is cleaned up by the Java 
Garbage Collector and it's memory returned to the heap.
+        This works fine for most use cases.
+        However, when interacting with other parts of the operating system 
using Java's heap is not ideal.
+        This is where the so called direct memory comes into play.
+      </p></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="d0e6457"></a>9.11.2.2.&#160;Direct</h4></div></div></div><p>
+        The world outside of the JVM, in particular the operating system (OS), 
does not know about Java heap memory and uses other structures like C arrays.
+        In order to interact with these systems Java needs to copy data 
between its own heap memory and these native structures.
+        This can become a bottle neck when there is a lot of exchange between 
Java and the OS like in I/O (both disk and network) heavy applications.
+        Java's solution to this is to allow programmers to request <code 
class="literal">ByteBuffer</code>s from so called direct memory.
+        This is an opaque structure that <span 
class="emphasis"><em>might</em></span> have an underlying implementation that 
makes it efficient to interact with the OS.
+        Unfortunately, the GC is not good at tracking direct memory and in 
general it is inadvisable to use direct memory for regular objects.
+      </p></div></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Memory-Usage"></a>9.11.3.&#160;Memory Usage in the 
Broker</h3></div></div></div><p>
+      This section lists some note worthy users of memory within the broker 
and where possible lists their usage of heap and direct memory.
+      Note that to ensure smooth performance some heap memory should remain 
unused by the application and be reserved for the JVM to do house keeping and 
garbage collection.
+      <a class="link" 
href="https://docs.oracle.com/cd/E17277_02/html/java/com/sleepycat/je/util/DbCacheSize.html";
 target="_top">Some guides</a> advise to reserve up to 30% of heap memory for 
the JVM.
+    </p><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="d0e6476"></a>9.11.3.1.&#160;Broker</h4></div></div></div><p>
+        The broker itself uses a moderate amount of heap memory (&#8776;15 MB).
+        However, each connection and session comes with a heap overhead of 
about 17 kB and 15 kB respectively.
+        In addition, each connection reserves 512 kB direct memory for network 
I/O.
+      </p></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a id="d0e6481"></a>9.11.3.2.&#160;Virtual 
Hosts</h4></div></div></div><p>
+        The amount of memory a Virtual Host uses depends on its type.
+        For a JSON Virtual Host Node with a BDB Virtual Host the heap memory 
usage is approximately 2 MB.
+        However, each BDB Virtual Hosts has a mandatory cache in heap memory 
which has an impact on performance.
+        See <a class="link" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Usage-BDB" 
title="9.11.3.4.&#160;Message Store">below</a> for more information.
+      </p></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="d0e6489"></a>9.11.3.3.&#160;Messages</h4></div></div></div><p>
+        Messages and their headers are kept in direct memory and have an 
additional overhead of approximately 1 kB heap memory each.
+        This means that most brokers will want to have more direct memory than 
heap memory.
+        When many small messages accumulate on the broker the 1 kB heap memory 
overhead can become a <a class="link" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Low-Memory-Heap"
 title="9.11.4.1.&#160;Low on Heap Memory">limiting factor</a>.
+      </p><p>
+        When the broker is <a class="link" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Low-Memory-Direct"
 title="9.11.4.2.&#160;Low on Direct Memory">running low on direct memory</a>
+        it will evict messages from memory and <a class="link" 
href="Java-Broker-Runtime-Flow-To-Disk.html" title="9.6.&#160;Flow to 
Disk">flow them to disk</a>.
+        For persistent messages this only means freeing the direct memory 
representation because they always have an on-disk representation to guard 
against unexpected failure (e.g., a power cut).
+        For transient messages this implies additional disk I/O.
+        After being flown to disk messages need to be re-read from disk before 
delivery.
+      </p></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="Java-Broker-Runtime-Memory-Usage-BDB"></a>9.11.3.4.&#160;Message 
Store</h4></div></div></div><div class="section"><div 
class="titlepage"><div><div><h5 class="title"><a id="d0e6508"></a>Berkeley DB 
(BDB)</h5></div></div></div><p>
+          The broker can use Oracle's BDB JE (BDB) as a message store to 
persist messages by writing them to a database.
+          BDB uses a mandatory cache for navigating and organising its 
database structure.
+          Sizing and tuning this cache is a topic of its own and would go 
beyond the scope of this guide.
+          Suffice to say that by default Qpid uses 5% of heap memory for BDB 
caches (each Virtual Host uses a separate cache) or 10 MB per BDB store, 
whichever is greater.
+          See the <a class="link" 
href="http://www.oracle.com/us/products/database/berkeley-db/je"; 
target="_top">official webpage</a> especially <a class="link" 
href="http://docs.oracle.com/cd/E17277_02/html/java/com/sleepycat/je/util/DbCacheSize.html";
 target="_top">this page</a> for more information.
+          For those interested, Qpid uses <a class="link" 
href="http://docs.oracle.com/cd/E17277_02/html/java/com/sleepycat/je/CacheMode.html#EVICT_LN";
 target="_top">EVICT_LN</a> as its default JE cacheMode.
+        </p><p>
+          Note that due to licensing concerns Qpid does not ship the BDB JE 
jar files.
+        </p></div><div class="section"><div class="titlepage"><div><div><h5 
class="title"><a id="d0e6524"></a>Derby</h5></div></div></div><p>
+          TODO
+        </p></div></div><div class="section"><div 
class="titlepage"><div><div><h4 class="title"><a 
id="d0e6529"></a>9.11.3.5.&#160;HTTP Management</h4></div></div></div><p>
+        Qpid uses Jetty for the HTTP Management (both REST and Web Management 
Console).
+        When the management plugin is loaded it will allocate the memory it 
needs and should not require more memory during operation and can thus be 
largely ignored.
+      </p></div></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Memory-Low-Memory"></a>9.11.4.&#160;Low Memory 
Conditions</h3></div></div></div><div class="section"><div 
class="titlepage"><div><div><h4 class="title"><a 
id="Java-Broker-Runtime-Memory-Low-Memory-Heap"></a>9.11.4.1.&#160;Low on Heap 
Memory</h4></div></div></div><p>
+        When the broker runs low on heap memory performance will degrade 
because the JVM will trigger full garbage collection (GC) events in a struggle 
to free memory.
+        These full GC events are also called stop-the-world events as they 
completely halt the execution of the Java application.
+        Stop-the-world-events may take any where from a couple of milliseconds 
up to several minutes.
+        Should the heap memory demands rise even further the JVM will 
eventually throw an OutOfMemoryError which will cause the broker to shut down.
+      </p></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="Java-Broker-Runtime-Memory-Low-Memory-Direct"></a>9.11.4.2.&#160;Low on 
Direct Memory</h4></div></div></div><p>
+        When the broker detects that it uses 40% of available direct memory it 
will start flowing incoming transient messages to disk and reading them back 
before delivery.
+        This will prevent the broker from running out of direct memory but may 
degrade performance by requiring disk I/O.
+      </p></div></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Memory-Defaults"></a>9.11.5.&#160;Defaults</h3></div></div></div><p>
+      By default Qpid uses these settings:
+      </p><div class="itemizedlist"><ul class="itemizedlist" 
style="list-style-type: disc; "><li class="listitem">
+          0.5 GB heap memory
+        </li><li class="listitem">
+          1.5 GB direct memory
+        </li><li class="listitem">
+          5% of heap reserved for the JE cache.
+        </li><li class="listitem">
+          Start flow-to-disk at 40% direct memory utilisation.
+        </li></ul></div><p>
+      As an example, this would accommodate a broker with 50 connections, each 
serving 5 sessions, and each session having 1000 messages of 1 kB on queues in 
the broker.
+      This means a total of 250 concurrent sessions and a total of 250000 
messages without flowing messages to disk.
+    </p></div><div class="section"><div class="titlepage"><div><div><h3 
class="title"><a id="Java-Broker-Runtime-Memory-Tuning"></a>9.11.6.&#160;Memory 
Tuning the Broker</h3></div></div></div><div class="section"><div 
class="titlepage"><div><div><h4 class="title"><a 
id="d0e6565"></a>9.11.6.1.&#160;Java Tuning</h4></div></div></div><p>
+        Most of these options are implementation specific. It is assumed you 
are using Oracle Java 1.7 and Qpid v6.
+        </p><div class="itemizedlist"><ul class="itemizedlist" 
style="list-style-type: disc; "><li class="listitem">
+            Heap and direct memory can be configured through the <a 
class="link" 
href="Java-Broker-Appendix-Environment-Variables.html#Java-Broker-Appendix-Environment-Variables-Qpid-Java-Mem"><code
 class="literal">QPID_JAVA_MEM</code> environment variable</a>.
+          </li></ul></div><p>
+      </p></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a id="d0e6579"></a>9.11.6.2.&#160;Qpid 
Tuning</h4></div></div></div><div class="itemizedlist"><ul class="itemizedlist" 
style="list-style-type: disc; "><li class="listitem">
+          The system property <code 
class="literal">qpid.broker.bdbTotalCacheSize</code> sets the total amount of 
heap memory (in bytes) allocated to BDB caches.
+        </li><li class="listitem">
+          The system property <code 
class="literal">broker.flowToDiskThreshold</code> sets the threshold (in bytes) 
for flowing transient messages to disk.
+          Should the broker use more than direct memory it will flow incoming 
messages to disk.
+          Should utilisation fall beneath the threshold it will stop flowing 
messages to disk.
+        </li></ul></div></div><div class="section"><div 
class="titlepage"><div><div><h4 class="title"><a 
id="d0e6593"></a>9.11.6.3.&#160;Formulas</h4></div></div></div><p>
+        We developed a simple formula which estimates the <span 
class="emphasis"><em>minimum</em></span> memory usage of the broker under 
certain usage.
+        These are rough estimate so we strongly recommend testing your 
configuration extensively.
+        Also, if your machine has more memory available by all means use more 
memory as it can only improve the performance and stability of your broker.
+        However, remember that both heap and direct memory are served from 
your computer's physical memory so their sum should never exceed the physically 
available RAM (minus what other processes use).
+      </p><p>
+        </p><div class="informalequation"><span class="mathphrase">
+            memory<sub>heap</sub> = 15 MB + 15 kB * N<sub>sessions</sub> + 1.5 
kB * N<sub>messages</sub> + 17 kB * N<sub>connections</sub>
+          </span></div><p>
+      </p><p>
+        </p><div class="informalequation"><span class="mathphrase">
+            memory<sub>direct</sub> = 2 MB + (200 B + 
averageSize<sub>msg</sub> *2)*  N<sub>messages</sub> + 1MB * 
N<sub>connections</sub>
+          </span></div><p>
+      </p><p>
+        Where <span class="mathphrase">N</span> denotes the total number of 
connections/sessions/messages on the broker. Furthermore, for direct memory 
only the messages that have not been flown to disk are relevant.
+      </p><div class="note" style="margin-left: 0.5in; margin-right: 
0.5in;"><h3 class="title">Note</h3><p>The formulae assume the worst case in 
terms of memory usage: persistent messages and TLS connections. Transient 
messages consume less heap memory than peristent and plain connections consume 
less direct memory than TLS
+          connections.
+        </p></div></div><div class="section"><div 
class="titlepage"><div><div><h4 class="title"><a 
id="d0e6645"></a>9.11.6.4.&#160;Things to Consider</h4></div></div></div><div 
class="section"><div class="titlepage"><div><div><h5 class="title"><a 
id="d0e6648"></a>Performance</h5></div></div></div><p>
+          Choosing a smaller direct memory size will lower the threshold for 
flowing transient messages to disk when messages accumulate on a queue.
+          This can have impact on performance in the transient case where 
otherwise no disk I/O would be involved.
+        </p><p>
+          Having too little heap memory will result in poor performance due to 
frequent garbage collection events. See <a class="xref" 
href="Java-Broker-Runtime-Memory.html#Java-Broker-Runtime-Memory-Low-Memory" 
title="9.11.4.&#160;Low Memory Conditions">Section&#160;9.11.4, &#8220;Low 
Memory Conditions&#8221;</a> for more details.
+        </p></div><div class="section"><div class="titlepage"><div><div><h5 
class="title"><a id="d0e6657"></a>OutOfMemoryError</h5></div></div></div><p>
+          Choosing too low heap memory can cause an OutOfMemoryError which 
will force the broker to shut down.
+          In this sense the available heap memory puts a hard limit on the 
number of messages you can have in the broker at the same time.
+        </p><p>
+          If the Java runs out of direct memory it also throws a 
OutOfMemoryError resulting the a broker shutdown.
+          Under normal circumstances this should not happen but needs to be 
considered when deviating from the default configuration, especially when 
changing the flowToDiskThreshold.
+        </p><p>
+          If you are sending very large messages you should accommodate for 
this by making sure you have enough direct memory.
+        </p></div></div></div></div><div class="navfooter"><hr /><table 
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width="20%"><a accesskey="p" 
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/></div><div class="section"><div class="titlepage"><div><div><h2 class="title" 
style="clear: both"><a 
id="Java-Broker-Runtime-Message-Compression"></a>9.9.&#160;Message 
Compression</h2></div></div></div><p>The Apache Qpid Broker for Java supports<a 
class="footnote" href="#ftn.d0e6360" id="d0e6360"><sup 
class="footnote">[13]</sup></a> message compression. This feature works in 
co-operation with Qpid
+  Clients implementing the same feature.</p><p>Once the feature is enabled 
(using Broker context variable
+   <span class="emphasis"><em>broker.messageCompressionEnabled</em></span>), 
the Broker will advertise support for the
+  message compression feature to the client at connection time. This allows 
clients to opt to turn
+  on message compression, allowing message payload sizes to be 
reduced.</p><p>If the Broker has connections from clients who have message 
compression enabled and others who
+  do not, it will internally, on-the-fly, decompress compressed messages when 
sending to clients
+  without support and conversely, compress uncomressed messages when sending 
to clients who do.</p><p>The Broker has a threshold below which it will not 
consider compressing a message, this is
+  controlled by Broker content variable
+   (<code class="literal">connection.messageCompressionThresholdSize</code>) 
and expresses a size in bytes.</p><p>This feature <span 
class="emphasis"><em>may</em></span> have a beneficial effect on performance 
by:</p><div class="itemizedlist"><ul class="itemizedlist" 
style="list-style-type: disc; "><li class="listitem"><p>Reducing the number of 
bytes transmitted over the wire, both between Client and Broker, and
+    in the HA case, Broker to Broker, for replication purposes.</p></li><li 
class="listitem"><p>Reducing storage space when data is at rest within the 
Broker, both on disk and in
+    memory.</p></li></ul></div><p>Of course, compression and decompression is 
computationally expensive. Turning on the feature
+  may have a negative impact on CPU utilization on Broker and/or Client. Also 
for small messages
+  payloads, message compression may increase the message size. It is 
recommended to test the feature
+  with representative data.</p><div class="footnotes"><br /><hr 
style="width:100; text-align:left;margin-left: 0" /><div class="footnote" 
id="ftn.d0e6360"><p><a class="para" href="#d0e6360"><sup class="para">[13] 
</sup></a>Message compression is not yet supported for the 1.0
+    protocol.</p></div></div></div><div class="navfooter"><hr /><table 
summary="Navigation footer" width="100%"><tr><td align="left" width="40%"><a 
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+
+        <div id="-middle-content">
+          <div class="docbook"><div class="navheader"><table 
summary="Navigation header" width="100%"><tr><th align="center" 
colspan="3">9.3.&#160;Producer Transaction Timeout</th></tr><tr><td 
align="left" width="20%"><a accesskey="p" 
href="Java-Broker-Runtime-Disk-Space-Management.html">Prev</a>&#160;</td><th 
align="center" width="60%">Chapter&#160;9.&#160;Runtime</th><td align="right" 
width="20%">&#160;<a accesskey="n" 
href="Java-Broker-Runtime-Handling-Undeliverable-Messages.html">Next</a></td></tr></table><hr
 /></div><div class="section"><div class="titlepage"><div><div><h2 
class="title" style="clear: both"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout"></a>9.3.&#160;Producer 
Transaction Timeout</h2></div></div></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-GeneralInformation"></a>9.3.1.&#160;General
 Information</h3></div></div></div><p> The transaction timeout mechanism is 
used to c
 ontrol broker resources when clients
+   producing messages using transactional sessions hang or otherwise become 
unresponsive, or simply
+   begin a transaction and keep using it without ever calling <a class="link" 
href="http://docs.oracle.com/javaee/6/api/javax/jms/Session.html#commit"; 
target="_top">Session#commit()</a>.</p><p>Users can choose to configure an 
idleWarn or openWarn threshold, after which the identified
+   transaction should be logged as a WARN level alert as well as (more 
importantly) an idleClose or
+   openClose threshold after which the transaction and the connection it 
applies to will be
+   closed.</p><p>This feature is particularly useful in environments where the 
owner of the broker does not
+   have full control over the implementation of clients, such as in a shared 
services
+   deployment.</p><p>The following section provide more details on this 
feature and its use.</p></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Purpose"></a>9.3.2.&#160;Purpose</h3></div></div></div><p>
 This feature has been introduced to address the scenario where an open 
transaction on the
+   broker holds an open transaction on the persistent store. This can have 
undesirable consequences
+   if the store does not time out or close long-running transactions, such as 
with BDB. This can can
+   result in a rapid increase in disk usage size, bounded only by available 
space, due to growth of
+   the transaction log. </p></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Scope"></a>9.3.3.&#160;Scope</h3></div></div></div><p>Note
 that only <a class="link" 
href="http://docs.oracle.com/javaee/6/api/javax/jms/MessageProducer.html"; 
target="_top">MessageProducer</a> clients will be affected by a transaction 
timeout, since store
+   transaction lifespan on a consumer only spans the execution of the call to 
Session#commit() and
+   there is no scope for a long-lived transaction to arise.</p><p>It is also 
important to note that the transaction timeout mechanism is purely a JMS
+   transaction timeout, and unrelated to any other timeouts in the Qpid client 
library and will have
+   no impact on any RDBMS your application may utilise.</p></div><div 
class="section"><div class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Effect"></a>9.3.4.&#160;Effect</h3></div></div></div><p>Full
 details of configuration options are provided in the sections that follow. 
This section
+   gives a brief overview of what the Transaction Timeout feature can 
do.</p><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Effect-Broker-Side"></a>9.3.4.1.&#160;Broker
 Logging and Connection Close</h4></div></div></div><p>When the openWarn or 
idleWarn specified threshold is exceeded, the broker will log a WARN
+    level alert with details of the connection and channel on which the 
threshold has been exceeded,
+    along with the age of the transaction.</p><p>When the openClose or 
idleClose specified threshold value is exceeded, the broker will
+    throw an exception back to the client connection via the <a class="link" 
href="http://docs.oracle.com/javaee/6/api/javax/jms/ExceptionListener.html"; 
target="_top">ExceptionListener</a>, log the
+    action and then close the connection.</p><p>The example broker log output 
shown below is where the idleWarn threshold specified is
+    lower than the idleClose threshold and the broker therefore logs the idle 
transaction 3 times
+    before the close threshold is triggered and the connection closed 
out.</p><pre class="screen">CHN-1008 : Idle Transaction : 13,116 ms
+CHN-1008 : Idle Transaction : 14,116 ms
+CHN-1008 : Idle Transaction : 15,118 ms
+CHN-1003 : Close
+   </pre><p>The second example broker log output shown below illustrates the 
same mechanism operating
+    on an open transaction.</p><pre class="screen">
+CHN-1007 : Open Transaction : 12,406 ms
+CHN-1007 : Open Transaction : 13,406 ms
+CHN-1007 : Open Transaction : 14,406 ms
+CHN-1003 : Close
+   </pre></div><div class="section"><div class="titlepage"><div><div><h4 
class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Effect-Client-Side"></a>9.3.4.2.&#160;Client
 Side Effect</h4></div></div></div><p>After a Close threshold has been 
exceeded, the trigger client will receive this exception
+    on its <a class="link" 
href="http://docs.oracle.com/javaee/6/api/javax/jms/ExceptionListener.html"; 
target="_top">exception
+    listener</a>, prior to being disconnected:</p><code 
class="computeroutput">org.apache.qpid.AMQConnectionClosedException: Error: 
Idle transaction timed out
+    [error code 506: resource error]</code><p>Any later attempt to use the 
connection will result in this exception being thrown:</p><pre 
class="screen">Producer: Caught an Exception: javax.jms.IllegalStateException: 
Object org.apache.qpid.client.AMQSession_0_8@129b0e1 has been closed
+    javax.jms.IllegalStateException: Object 
org.apache.qpid.client.AMQSession_0_8@129b0e1 has been closed
+    at org.apache.qpid.client.Closeable.checkNotClosed(Closeable.java:70)
+    at org.apache.qpid.client.AMQSession.checkNotClosed(AMQSession.java:555)
+    at 
org.apache.qpid.client.AMQSession.createBytesMessage(AMQSession.java:573)
+   </pre><p>Thus clients must be able to handle this case successfully, 
reconnecting where required and
+    registering an exception listener on all connections. This is critical, 
and must be communicated
+    to client applications by any broker owner switching on transaction 
timeouts.</p></div></div><div class="section"><div 
class="titlepage"><div><div><h3 class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Configuration"></a>9.3.5.&#160;Configuration</h3></div></div></div><div
 class="section"><div class="titlepage"><div><div><h4 class="title"><a 
id="Java-Broker-Runtime-Producer-Transaction-Timeout-Configuration-Overview"></a>9.3.5.1.&#160;Configuration</h4></div></div></div><p>The
 transaction timeouts can be specified when a new virtualhost is created or an 
exiting
+    virtualhost is edited.</p><p>We would recommend that only warnings are 
configured at first, which should allow broker
+    administrators to obtain an idea of the distribution of transaction 
lengths on their systems,
+    and configure production settings appropriately for both warning and 
closure. Ideally
+    establishing thresholds should be achieved in a representative UAT 
environment, with clients and
+    broker running, prior to any production deployment.</p><p>It is impossible 
to give suggested values, due to the large variation in usage depending on
+    the applications using a broker. However, clearly transactions should not 
span the expected
+    lifetime of any client application as this would indicate a hung 
client.</p><p>When configuring warning and closure timeouts, it should be noted 
that these only apply to
+    message producers that are connected to the broker, but that a timeout 
will cause the connection
+    to be closed - this disconnecting all producers and consumers created on 
that connection.</p><p>This should not be an issue for environments using Mule 
or Spring, where connection
+    factories can be configured appropriately to manage a single 
MessageProducer object per JMS
+    Session and Connection. Clients that use the JMS API directly should be 
aware that sessions
+    managing both consumers and producers, or multiple producers, will be 
affected by a single
+    producer hanging or leaving a transaction idle or open, and closed, and 
must take appropriate
+    action to handle that scenario.</p></div></div></div><div 
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