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<h1 class="topictitle1">Performance explorer concepts</h1>
<div><p>Performance explorer works by collecting detailed information about
a specified system process or resource. This topic explains how performance
explorer works, and how best to use it.</p>
<p>Performance explorer has advantages for people who need detailed performance
analysis on an <span class="keyword">iSeries™</span> server.
Using performance explorer you can:</p>
<ul><li>Determine what is causing a performance problem on the system down to
the level of user, job, file, object, thread, task, program, module, procedure,
statement, or instruction address.</li>
<li>Collect performance information on user-developed and system software.</li>
<li>Do a detailed analysis on one job without affecting the performance of
other operations on the system.</li>
<li> Analyze data on a system other than the one on which it was collected.
For example, if you collect data on a managed system in your network, you
can send it to the central site system for analysis.</li>
</ul>
<p>Like Collection Services, performance explorer collects data for later
analysis. However, they collect very different types of data. Collection Services
collects a broad range of system data at regularly schedules intervals, with
minimal system resource consumption. In contrast, performance explorer starts
a session that collects trace-level data. This trace generates a large amount
of detailed information about the resources consumed by an application, job,
or thread. Specifically, you can use Performance Explorer to answer specific
questions about areas like system-generated disk I/O, procedure calls, Java™ method
calls, page faults, and other trace events. It is the ability to collect very
specific and very detailed information that makes the performance explorer
effective in helping isolate performance problems. For example, Collection
Services can tell you that disk storage space is rapidly being consumed. You
can use performance explorer to identify what programs and objects are consuming
too much disk space, and why.</p>
<p><img src="./delta.gif" alt="Start of change" />When performance explorer is running, it creates only the files
that are needed for the collection.<img src="./deltaend.gif" alt="End of change" /></p>
<div class="note"><span class="notetitle">Note:</span> You can collect performance explorer data and Collections Services data
at the same time.</div>
<div class="section"><h4 class="sectiontitle">How performance explorer works</h4><p>The following figure
should help you become familiar with the normal path through the performance
explorer. For details on each of these steps, see Configure performance explorer.
The figure shows a basic work cycle that consists of the following steps:</p>
<ol><li>Define a performance explorer data collection. You can also add a filter
to limit the amount of data collected by specifying a compare value for specific
events.</li>
<li>Start the performance explorer to collect the data based on your definition.</li>
<li>Run your program, command, or workload.</li>
<li>End the collection, which saves the collected data to a set of database
files.</li>
<li>Create and print reports from the database files.</li>
</ol>
<br /><img src="rzahx503.gif" alt="Performance explorer basic flow" /><br /><p>To learn more about performance explorer, refer to any of the following
performance explorer topics.</p>
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<ul class="ullinks">
<li class="ulchildlink"><strong><a href="rzahxpexconpexdef.htm">Performance explorer definitions</a></strong><br />
The parameters and conditions that determine what data performance explorer collects and how it collects it are configured and stored using performance explorer definitions. This topic explains how to use these definitions and provides a sample illustrating a simple definition.</li>
<li class="ulchildlink"><strong><a href="rzahxpexcondbfiles.htm">Performance explorer database files</a></strong><br />
The data that performance explorer collects is stored in performance explorer database files.</li>
<li class="ulchildlink"><strong><a href="rzahxreportpex.htm">Performance explorer reports</a></strong><br />
After you have collected performance data with a performance explorer session, you can view it by running the included reports or by querying the database files directly.</li>
</ul>
<div class="familylinks">
<div class="parentlink"><strong>Parent topic:</strong> <a href="rzahxpexparent.htm" title="Collects more detailed information about a specific application, program or system resource, and provides detailed insight into a specific performance problem. This includes the capability both to perform several types and levels of traces and to run detailed reports.">Performance explorer</a></div>
</div>
<div class="relconcepts"><strong>Related concepts</strong><br />
<div><a href="rzahxcollectdatacs.htm" title="Use Collection Services to collect performance data for later analysis by the Performance Tools for iSeries licensed program or other performance report applications, iSeries Navigator monitors, and the graph history function. (If you prefer viewing real-time performance data, system monitors provide an easy-to-use graphical interface for monitoring system performance.)">Collection Services</a></div>
</div>
<div class="reltasks"><strong>Related tasks</strong><br />
<div><a href="rzahxpexcfg.htm" title="To collect detailed trace information, you need to tailor performance explorer to work optimally with the application process from which the trace is being taken.">Configure performance explorer</a></div>
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