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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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  <title>ADOdb Performance Monitoring Library</title>
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<h3>The ADOdb Performance Monitoring Library</h3>
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<p>V4.80 8 Mar 2006 (c) 2000-2006 John Lim (jlim#natsoft.com.my)</p>
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<p><font size="1">This software is dual licensed using BSD-Style and
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LGPL. This means you can use it in compiled proprietary and commercial
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products.</font></p>
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<p>Useful ADOdb links: <a href="http://adodb.sourceforge.net/#download">Download</a>
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&nbsp; <a href="http://adodb.sourceforge.net/#docs">Other Docs</a>
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</p>
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<h3>Introduction</h3>
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<p>This module, part of the ADOdb package, provides both CLI and HTML
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interfaces for viewing key performance indicators of your database.
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This is very useful because web apps such as the popular phpMyAdmin
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currently do not provide effective database health monitoring tools.
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The module provides the following: </p>
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<ul>
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  <li>A quick health check of your database server using <code>$perf-&gt;HealthCheck()</code>
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or <code>$perf-&gt;HealthCheckCLI()</code>. </li>
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  <li>User interface for performance monitoring, <code>$perf-&gt;UI()</code>.
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This UI displays:
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    <ul>
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      <li>the health check, </li>
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      <li>all SQL logged and their query plans, </li>
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      <li>a list of all tables in the current database</li>
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      <li>an interface to continiously poll the server for key
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performance indicators such as CPU, Hit Ratio, Disk I/O</li>
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      <li>a form where you can enter and run SQL interactively.</li>
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    </ul>
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  </li>
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  <li>Gives you an API to build database monitoring tools for a server
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farm, for example calling <code>$perf-&gt;DBParameter('data cache hit
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ratio')</code> returns this very important statistic in a database
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independant manner. </li>
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</ul>
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<p>ADOdb also has the ability to log all SQL executed, using <a
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 href="docs-adodb.htm#logsql">LogSQL</a>. All SQL logged can be
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analyzed through the performance monitor <a href="#ui">UI</a>. In the <i>View
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SQL</i> mode, we categorize the SQL into 3 types:
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</p>
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<ul>
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  <li><b>Suspicious SQL</b>: queries with high average execution times,
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and are potential candidates for rewriting</li>
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  <li><b>Expensive SQL</b>: queries with high total execution times
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(#executions * avg execution time). Optimizing these queries will
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reduce your database server load.</li>
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  <li><b>Invalid SQL</b>: queries that generate errors.</li>
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</ul>
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<p>Each query is hyperlinked to a description of the query plan, and
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every PHP script that executed that query is also shown.</p>
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<p>Please note that the information presented is a very basic database
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health check, and does not provide a complete overview of database
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performance. Although some attempt has been made to make it work across
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multiple databases in the same way, it is impossible to do so. For the
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health check, we do try to display the following key database
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parameters for all drivers:</p>
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<ul>
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  <li><b>data cache size</b> - The amount of memory allocated to the
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cache.</li>
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  <li><b>data cache hit ratio</b> - A measure of how effective the
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cache is, as a percentage. The higher, the better.</li>
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  <li><b>current connections</b> - The number of sessions currently
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connected to the database. </li>
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</ul>
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<p>You will need to connect to the database as an administrator to view
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most of the parameters. </p>
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<p>Code improvements as very welcome, particularly adding new database
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parameters and automated tuning hints.</p>
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<a name="usage"></a>
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<h3>Usage</h3>
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<p>Currently, the following drivers: <em>mysql</em>, <em>postgres</em>,
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<em>oci8</em>, <em>mssql</em>, <i>informix</i> and <em>db2</em> are
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supported. To create a new performance monitor, call NewPerfMonitor( )
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as demonstrated below: </p>
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<pre>&lt;?php<br>include_once('adodb.inc.php');<br>session_start(); <font
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 color="#006600"># session variables required for monitoring</font><br>$conn = ADONewConnection($driver);<br>$conn-&gt;Connect($server,$user,$pwd,$db);<br>$perf =&amp; NewPerfMonitor($conn);<br>$perf-&gt;UI($pollsecs=5);<br>?&gt;<br></pre>
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<p>It is also possible to retrieve a single database parameter:</p>
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<pre>$size = $perf-&gt;DBParameter('data cache size');<br></pre>
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<p>
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Thx to Fernando Ortiz for the informix module. </p>
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<h3>Methods</h3>
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<a name="ui"></a>
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<p><font face="Courier New, Courier, mono">function <b>UI($pollsecs=5)</b></font></p>
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<p>Creates a web-based user interface for performance monitoring. When
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you click on Poll, server statistics will be displayed every $pollsecs
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seconds. See <a href="#usage">Usage</a> above. </p>
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<p>Since 4.11, we allow users to enter and run SQL interactively via
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the "Run SQL" link. To disable this for security reasons, set this
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constant before calling $perf-&gt;UI(). </p>
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<p> </p>
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<pre>define('ADODB_PERF_NO_RUN_SQL',1);</pre>
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<p>Sample output follows below:</p>
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<table bgcolor="lightyellow" border="1" width="100%">
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  <tbody>
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    <tr>
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      <td> <b><a href="http://php.weblogs.com/adodb?perf=1">ADOdb</a>
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Performance Monitor</b> for localhost, db=test<br>
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      <font size="-1">PostgreSQL 7.3.2 on i686-pc-cygwin, compiled by
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GCC gcc (GCC) 3.2 20020927 (prerelease)</font></td>
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    </tr>
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    <tr>
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      <td> <a href="#">Performance Stats</a> &nbsp; <a href="#">View
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SQL</a> &nbsp; <a href="#">View Tables</a> &nbsp; <a href="#">Poll
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Stats</a></td>
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    </tr>
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  </tbody>
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</table>
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<table bgcolor="white" border="1">
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  <tbody>
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    <tr>
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      <td colspan="3">
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      <h3>postgres7</h3>
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      </td>
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    </tr>
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    <tr>
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      <td><b>Parameter</b></td>
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      <td><b>Value</b></td>
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      <td><b>Description</b></td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Ratios</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>statistics collector</td>
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      <td>TRUE</td>
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      <td>Value must be TRUE to enable hit ratio statistics (<i>stats_start_collector</i>,<i>stats_row_level</i>
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and <i>stats_block_level</i> must be set to true in postgresql.conf)</td>
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    </tr>
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    <tr>
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      <td>data cache hit ratio</td>
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      <td>99.7967555299239</td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>IO</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>data reads</td>
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      <td>125</td>
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      <td>&nbsp; </td>
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    </tr>
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    <tr>
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      <td>data writes</td>
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      <td>21.78125000000000000</td>
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      <td>Count of inserts/updates/deletes * coef</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Data Cache</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>data cache buffers</td>
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      <td>640</td>
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      <td>Number of cache buffers. <a
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 href="http://www.varlena.com/GeneralBits/Tidbits/perf.html#basic">Tuning</a></td>
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    </tr>
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    <tr>
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      <td>cache blocksize</td>
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      <td>8192</td>
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      <td>(estimate)</td>
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    </tr>
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    <tr>
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      <td>data cache size</td>
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      <td>5M</td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr>
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      <td>operating system cache size</td>
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      <td>80M</td>
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      <td>(effective cache size)</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Memory Usage</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>sort buffer size</td>
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      <td>1M</td>
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      <td>Size of sort buffer (per query)</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Connections</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>current connections</td>
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      <td>0</td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr>
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      <td>max connections</td>
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      <td>32</td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Parameters</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>rollback buffers</td>
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      <td>8</td>
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      <td>WAL buffers</td>
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    </tr>
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    <tr>
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      <td>random page cost</td>
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      <td>4</td>
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      <td>Cost of doing a seek (default=4). See <a
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 href="http://www.varlena.com/GeneralBits/Tidbits/perf.html#less">random_page_cost</a></td>
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    </tr>
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  </tbody>
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</table>
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<p><font face="Courier New, Courier, mono">function <b>HealthCheck</b>()</font></p>
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<p>Returns database health check parameters as a HTML table. You will
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need to echo or print the output of this function,</p>
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<p><font face="Courier New, Courier, mono">function <b>HealthCheckCLI</b>()</font></p>
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<p>Returns database health check parameters formatted for a command
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line interface. You will need to echo or print the output of this
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function. Sample output for mysql:</p>
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<pre>-- Ratios -- <br>          MyISAM cache hit ratio =&gt; 56.5635738832 <br>          InnoDB cache hit ratio =&gt; 0 <br>             sql cache hit ratio =&gt; 0 <br> -- IO -- <br>                      data reads =&gt; 2622 <br>                     data writes =&gt; 2415.5 <br> -- Data Cache -- <br>          MyISAM data cache size =&gt; 512K <br>             BDB data cache size =&gt; 8388600<br>          InnoDB data cache size =&gt; 8M<br> -- Memory Pools -- <br>                read buffer size =&gt; 131072 <br>                sort buffer size =&gt; 65528 <br>                     table cache =&gt; 4 <br> -- Connections -- <br>             current connections =&gt; 3<br>                 max connections =&gt; 100</pre>
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<p><font face="Courier New, Courier, mono">function <b>Poll</b>($pollSecs=5)
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</font> </p>
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<p> Run in infinite loop, displaying the following information every
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$pollSecs. This will not work properly if output buffering is enabled.
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In the example below, $pollSecs=3:
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</p>
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<pre>Accumulating statistics...<br> Time   WS-CPU%   Hit%   Sess        Reads/s          Writes/s<br>11:08:30    0.7  56.56      1         0.0000            0.0000<br>11:08:33    1.8  56.56      2         0.0000            0.0000<br>11:08:36   11.1  56.55      3         2.5000            0.0000<br>11:08:39    9.8  56.55      2         3.1121            0.0000<br>11:08:42    2.8  56.55      1         0.0000            0.0000<br>11:08:45    7.4  56.55      2         0.0000            1.5000<br></pre>
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<p><b>WS-CPU%</b> is the Web Server CPU load of the server that PHP is
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running from (eg. the database client), and not the database. The <b>Hit%</b>
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is the data cache hit ratio. <b>Sess</b> is the current number of
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sessions connected to the database. If you are using persistent
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connections, this should not change much. The <b>Reads/s</b> and <b>Writes/s</b>
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are synthetic values to give the viewer a rough guide to I/O, and are
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not to be taken literally. </p>
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<p><font face="Courier New, Courier, mono">function <b>SuspiciousSQL</b>($numsql=10)</font></p>
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<p>Returns SQL which have high average execution times as a HTML table.
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Each sql statement
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is hyperlinked to a new window which details the execution plan and the
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scripts that execute this SQL.
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</p>
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<p> The number of statements returned is determined by $numsql. Data is
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taken from the adodb_logsql table, where the sql statements are logged
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when
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$connection-&gt;LogSQL(true) is enabled. The adodb_logsql table is
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populated using <a href="docs-adodb.htm#logsql">$conn-&gt;LogSQL</a>.
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</p>
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<p>For Oracle, Ixora Suspicious SQL returns a list of SQL statements
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that are most cache intensive as a HTML table. These are data intensive
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SQL statements that could benefit most from tuning. </p>
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<p><font face="Courier New, Courier, mono">function <b>ExpensiveSQL</b>($numsql=10)</font></p>
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<p>Returns SQL whose total execution time (avg time * #executions) is
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high as a HTML table. Each sql statement
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is hyperlinked to a new window which details the execution plan and the
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scripts that execute this SQL.
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</p>
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<p> The number of statements returned is determined by $numsql. Data is
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taken from the adodb_logsql table, where the sql statements are logged
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when
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$connection-&gt;LogSQL(true) is enabled. The adodb_logsql table is
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populated using <a href="docs-adodb.htm#logsql">$conn-&gt;LogSQL</a>.
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</p>
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<p>For Oracle, Ixora Expensive SQL returns a list of SQL statements
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that are taking the most CPU load when run.
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</p>
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<p><font face="Courier New, Courier, mono">function <b>InvalidSQL</b>($numsql=10)</font></p>
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<p>Returns a list of invalid SQL as an HTML table.
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</p>
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<p>Data is taken from the adodb_logsql table, where the sql statements
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are logged when
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$connection-&gt;LogSQL(true) is enabled.
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</p>
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<p><font face="Courier New, Courier, mono">function <b>Tables</b>($orderby=1)</font></p>
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<p>Returns information on all tables in a database, with the first two
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fields containing the table name and table size, the remaining fields
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depend on the database driver. If $orderby is set to 1, it will sort by
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name. If $orderby is set to 2, then it will sort by table size. Some
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database drivers (mssql and mysql) will ignore the $orderby clause. For
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postgresql, the information is up-to-date since the last <i>vacuum</i>.
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Not supported currently for db2.</p>
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<h3>Raw Functions</h3>
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<p>Raw functions return values without any formatting.</p>
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<p><font face="Courier New, Courier, mono">function <b>DBParameter</b>($paramname)</font></p>
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<p>Returns the value of a database parameter, such as
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$this-&gt;DBParameter("data cache size").</p>
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<p><font face="Courier New, Courier, mono">function <b>CPULoad</b>()</font></p>
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<p>Returns the CPU load of the database client (NOT THE SERVER) as a
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percentage. Only works for Linux and Windows. For Windows, WMI must be
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available.</p>
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<h3>Format of $settings Property</h3>
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<p> To create new database parameters, you need to understand
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$settings. The $settings data structure is an associative array. Each
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element of the array defines a database parameter. The key is the name
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of the database parameter. If no key is defined, then it is assumed to
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be a section break, and the value is the name of the section break. If
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this is too confusing, looking at the source code will help a lot!</p>
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<p> Each database parameter is itself an array consisting of the
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following elements:</p>
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<ol start="0">
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  <li> Category code, used to group related db parameters. If the
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category code is 'HIDE', then
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the database parameter is not shown when HTML() is called. <br>
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  </li>
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  <li> either
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    <ol type="a">
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      <li>sql string to retrieve value, eg. "select value from
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v\$parameter where name='db_block_size'", </li>
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      <li>array holding sql string and field to look for, e.g.
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array('show variables','table_cache'); optional 3rd parameter is the
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$rs-&gt;fields[$index] to use (otherwise $index=1), and optional 4th
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parameter is a constant to multiply the result with (typically 100 for
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percentage calculations),</li>
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      <li>a string prefixed by =, then a PHP method of the class is
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invoked, e.g. to invoke $this-&gt;GetIndexValue(), set this array
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element to '=GetIndexValue', <br>
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      </li>
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    </ol>
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  </li>
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  <li> Description of database parameter. If description begins with an
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=, then it is interpreted as a method call, just as in (1c) above,
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taking one parameter, the current value. E.g. '=GetIndexDescription'
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will invoke $this-&gt;GetIndexDescription($val). This is useful for
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generating tuning suggestions. For an example, see WarnCacheRatio().</li>
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</ol>
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<p>Example from MySQL, table_cache database parameter:</p>
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<pre>'table cache' =&gt; array('CACHE',            # category code<br>   array("show variables", 'table_cache'), # array (type 1b)<br>   'Number of tables to keep open'),       # description</pre>
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<h3>Example Health Check Output</h3>
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<p><a href="#db2">db2</a> <a href="#informix">informix</a> <a
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 href="#mysql">mysql</a> <a href="#mssql">mssql</a> <a href="#oci8">oci8</a>
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<a href="#postgres">postgres</a></p>
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<p><a name="db2"></a></p>
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<table bgcolor="white" border="1">
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  <tbody>
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    <tr>
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      <td colspan="3">
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      <h3>db2</h3>
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      </td>
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    </tr>
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    <tr>
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      <td><b>Parameter</b></td>
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      <td><b>Value</b></td>
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      <td><b>Description</b></td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Ratios</i> &nbsp;</td>
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    </tr>
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    <tr bgcolor="#ffffff">
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      <td>data cache hit ratio</td>
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      <td>0 &nbsp; </td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Data Cache</i></td>
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    </tr>
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    <tr bgcolor="#ffffff">
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      <td>data cache buffers</td>
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      <td>250 &nbsp; </td>
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      <td>See <a
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 href="http://www7b.boulder.ibm.com/dmdd/library/techarticle/anshum/0107anshum.html#bufferpoolsize">tuning
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reference</a>.</td>
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    </tr>
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    <tr bgcolor="#ffffff">
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      <td>cache blocksize</td>
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      <td>4096 &nbsp; </td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr bgcolor="#ffffff">
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      <td>data cache size</td>
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      <td>1000K &nbsp; </td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Connections</i></td>
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    </tr>
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    <tr bgcolor="#ffffff">
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      <td>current connections</td>
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      <td>2 &nbsp; </td>
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      <td>&nbsp;</td>
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    </tr>
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  </tbody>
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</table>
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<p>&nbsp;</p>
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<p><a name="informix"></a>
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<table bgcolor="white" border="1">
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  <tbody>
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    <tr>
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      <td colspan="3">
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      <h3>informix</h3>
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      </td>
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    </tr>
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    <tr>
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      <td><b>Parameter</b></td>
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      <td><b>Val
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ue</b></td>
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      <td><b>Description</b></td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Ratios</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>data cache hit
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ratio</td>
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      <td>95.89</td>
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      <td>&nbsp;</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>IO</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>data
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reads</td>
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      <td>1883884</td>
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      <td>Page reads</td>
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    </tr>
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    <tr>
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      <td>data writes</td>
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      <td>1716724</td>
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      <td>Page writes</td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Connections</i>
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&nbsp;</td>
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    </tr>
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    <tr>
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      <td>current connections</td>
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      <td>263.0</td>
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      <td>Number of
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sessions</td>
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    </tr>
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  </tbody>
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</table>
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</p>
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<p>&nbsp;</p>
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<p><a name="mysql" id="mysql"></a></p>
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<table bgcolor="white" border="1">
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  <tbody>
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    <tr>
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      <td colspan="3">
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      <h3>mysql</h3>
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      </td>
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    </tr>
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    <tr>
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      <td><b>Parameter</b></td>
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      <td><b>Value</b></td>
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      <td><b>Description</b></td>
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    </tr>
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    <tr bgcolor="#f0f0f0">
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      <td colspan="3"><i>Ratios</i> &nbsp;</td>
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    </tr>
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    <tr>
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      <td>MyISAM cache hit ratio</td>
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      <td>56.5658301822</td>
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      <td><font color="red"><b>Cache ratio should be at least 90%</b></font></td>
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    </tr>
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    <tr>
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      <td>InnoDB cache hit ratio</td>
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      <td>0</td>
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      <td><font color="red"><b>Cache ratio should be at least 90%</b></font></td>
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    </tr>
471
    <tr>
472
      <td>sql cache hit ratio</td>
473
      <td>0</td>
474
      <td>&nbsp;</td>
475
    </tr>
476
    <tr bgcolor="#f0f0f0">
477
      <td colspan="3"><i>IO</i> &nbsp;</td>
478
    </tr>
479
    <tr>
480
      <td>data reads</td>
481
      <td>2622</td>
482
      <td>Number of selects (Key_reads is not accurate)</td>
483
    </tr>
484
    <tr>
485
      <td>data writes</td>
486
      <td>2415.5</td>
487
      <td>Number of inserts/updates/deletes * coef (Key_writes is not
488
accurate)</td>
489
    </tr>
490
    <tr bgcolor="#f0f0f0">
491
      <td colspan="3"><i>Data Cache</i> &nbsp;</td>
492
    </tr>
493
    <tr>
494
      <td>MyISAM data cache size</td>
495
      <td>512K</td>
496
      <td>&nbsp;</td>
497
    </tr>
498
    <tr>
499
      <td>BDB data cache size</td>
500
      <td>8388600</td>
501
      <td>&nbsp;</td>
502
    </tr>
503
    <tr>
504
      <td>InnoDB data cache size</td>
505
      <td>8M</td>
506
      <td>&nbsp;</td>
507
    </tr>
508
    <tr bgcolor="#f0f0f0">
509
      <td colspan="3"><i>Memory Pools</i> &nbsp;</td>
510
    </tr>
511
    <tr>
512
      <td>read buffer size</td>
513
      <td>131072</td>
514
      <td>(per session)</td>
515
    </tr>
516
    <tr>
517
      <td>sort buffer size</td>
518
      <td>65528</td>
519
      <td>Size of sort buffer (per session)</td>
520
    </tr>
521
    <tr>
522
      <td>table cache</td>
523
      <td>4</td>
524
      <td>Number of tables to keep open</td>
525
    </tr>
526
    <tr bgcolor="#f0f0f0">
527
      <td colspan="3"><i>Connections</i> &nbsp;</td>
528
    </tr>
529
    <tr>
530
      <td>current connections</td>
531
      <td>3</td>
532
      <td>&nbsp;</td>
533
    </tr>
534
    <tr>
535
      <td>max connections</td>
536
      <td>100</td>
537
      <td>&nbsp;</td>
538
    </tr>
539
  </tbody>
540
</table>
541
<p>&nbsp;</p>
542
<p><a name="mssql" id="mssql"></a></p>
543
<table bgcolor="white" border="1">
544
  <tbody>
545
    <tr>
546
      <td colspan="3">
547
      <h3>mssql</h3>
548
      </td>
549
    </tr>
550
    <tr>
551
      <td><b>Parameter</b></td>
552
      <td><b>Value</b></td>
553
      <td><b>Description</b></td>
554
    </tr>
555
    <tr bgcolor="#f0f0f0">
556
      <td colspan="3"><i>Ratios</i> &nbsp;</td>
557
    </tr>
558
    <tr>
559
      <td>data cache hit ratio</td>
560
      <td>99.9999694824</td>
561
      <td>&nbsp;</td>
562
    </tr>
563
    <tr>
564
      <td>prepared sql hit ratio</td>
565
      <td>99.7738579828</td>
566
      <td>&nbsp;</td>
567
    </tr>
568
    <tr>
569
      <td>adhoc sql hit ratio</td>
570
      <td>98.4540169133</td>
571
      <td>&nbsp;</td>
572
    </tr>
573
    <tr bgcolor="#f0f0f0">
574
      <td colspan="3"><i>IO</i> &nbsp;</td>
575
    </tr>
576
    <tr>
577
      <td>data reads</td>
578
      <td>2858</td>
579
      <td>&nbsp; </td>
580
    </tr>
581
    <tr>
582
      <td>data writes</td>
583
      <td>1438</td>
584
      <td>&nbsp; </td>
585
    </tr>
586
    <tr bgcolor="#f0f0f0">
587
      <td colspan="3"><i>Data Cache</i> &nbsp;</td>
588
    </tr>
589
    <tr>
590
      <td>data cache size</td>
591
      <td>4362</td>
592
      <td>in K</td>
593
    </tr>
594
    <tr bgcolor="#f0f0f0">
595
      <td colspan="3"><i>Connections</i> &nbsp;</td>
596
    </tr>
597
    <tr>
598
      <td>current connections</td>
599
      <td>14</td>
600
      <td>&nbsp;</td>
601
    </tr>
602
    <tr>
603
      <td>max connections</td>
604
      <td>32767</td>
605
      <td>&nbsp;</td>
606
    </tr>
607
  </tbody>
608
</table>
609
<p>&nbsp;</p>
610
<p><a name="oci8" id="oci8"></a></p>
611
<table bgcolor="white" border="1">
612
  <tbody>
613
    <tr>
614
      <td colspan="3">
615
      <h3>oci8</h3>
616
      </td>
617
    </tr>
618
    <tr>
619
      <td><b>Parameter</b></td>
620
      <td><b>Value</b></td>
621
      <td><b>Description</b></td>
622
    </tr>
623
    <tr bgcolor="#f0f0f0">
624
      <td colspan="3"><i>Ratios</i> &nbsp;</td>
625
    </tr>
626
    <tr>
627
      <td>data cache hit ratio</td>
628
      <td>96.98</td>
629
      <td>&nbsp;</td>
630
    </tr>
631
    <tr>
632
      <td>sql cache hit ratio</td>
633
      <td>99.96</td>
634
      <td>&nbsp;</td>
635
    </tr>
636
    <tr bgcolor="#f0f0f0">
637
      <td colspan="3"><i>IO</i> &nbsp;</td>
638
    </tr>
639
    <tr>
640
      <td>data reads</td>
641
      <td>842938</td>
642
      <td>&nbsp; </td>
643
    </tr>
644
    <tr>
645
      <td>data writes</td>
646
      <td>16852</td>
647
      <td>&nbsp; </td>
648
    </tr>
649
    <tr bgcolor="#f0f0f0">
650
      <td colspan="3"><i>Data Cache</i> &nbsp;</td>
651
    </tr>
652
    <tr>
653
      <td>data cache buffers</td>
654
      <td>3072</td>
655
      <td>Number of cache buffers</td>
656
    </tr>
657
    <tr>
658
      <td>data cache blocksize</td>
659
      <td>8192</td>
660
      <td>&nbsp;</td>
661
    </tr>
662
    <tr>
663
      <td>data cache size</td>
664
      <td>48M</td>
665
      <td>shared_pool_size</td>
666
    </tr>
667
    <tr bgcolor="#f0f0f0">
668
      <td colspan="3"><i>Memory Pools</i> &nbsp;</td>
669
    </tr>
670
    <tr>
671
      <td>java pool size</td>
672
      <td>0</td>
673
      <td>java_pool_size</td>
674
    </tr>
675
    <tr>
676
      <td>sort buffer size</td>
677
      <td>512K</td>
678
      <td>sort_area_size (per query)</td>
679
    </tr>
680
    <tr>
681
      <td>user session buffer size</td>
682
      <td>8M</td>
683
      <td>large_pool_size</td>
684
    </tr>
685
    <tr bgcolor="#f0f0f0">
686
      <td colspan="3"><i>Connections</i> &nbsp;</td>
687
    </tr>
688
    <tr>
689
      <td>current connections</td>
690
      <td>1</td>
691
      <td>&nbsp;</td>
692
    </tr>
693
    <tr>
694
      <td>max connections</td>
695
      <td>170</td>
696
      <td>&nbsp;</td>
697
    </tr>
698
    <tr>
699
      <td>data cache utilization ratio</td>
700
      <td>88.46</td>
701
      <td>Percentage of data cache actually in use</td>
702
    </tr>
703
    <tr>
704
      <td>user cache utilization ratio</td>
705
      <td>91.76</td>
706
      <td>Percentage of user cache (large_pool) actually in use</td>
707
    </tr>
708
    <tr>
709
      <td>rollback segments</td>
710
      <td>11</td>
711
      <td>&nbsp;</td>
712
    </tr>
713
    <tr bgcolor="#f0f0f0">
714
      <td colspan="3"><i>Transactions</i> &nbsp;</td>
715
    </tr>
716
    <tr>
717
      <td>peak transactions</td>
718
      <td>24</td>
719
      <td>Taken from high-water-mark</td>
720
    </tr>
721
    <tr>
722
      <td>max transactions</td>
723
      <td>187</td>
724
      <td>max transactions / rollback segments &lt; 3.5 (or
725
transactions_per_rollback_segment)</td>
726
    </tr>
727
    <tr bgcolor="#f0f0f0">
728
      <td colspan="3"><i>Parameters</i> &nbsp;</td>
729
    </tr>
730
    <tr>
731
      <td>cursor sharing</td>
732
      <td>EXACT</td>
733
      <td>Cursor reuse strategy. Recommended is FORCE (8i+) or SIMILAR
734
(9i+). See <a
735
 href="http://www.praetoriate.com/oracle_tips_cursor_sharing.htm">cursor_sharing</a>.</td>
736
    </tr>
737
    <tr>
738
      <td>index cache cost</td>
739
      <td>0</td>
740
      <td>% of indexed data blocks expected in the cache. Recommended
741
is 20-80. Default is 0. See <a
742
 href="http://www.dba-oracle.com/oracle_tips_cbo_part1.htm">optimizer_index_caching</a>.</td>
743
    </tr>
744
    <tr>
745
      <td>random page cost</td>
746
      <td>100</td>
747
      <td>Recommended is 10-50 for TP, and 50 for data warehouses.
748
Default is 100. See <a
749
 href="http://www.dba-oracle.com/oracle_tips_cost_adj.htm">optimizer_index_cost_adj</a>.
750
      </td>
751
    </tr>
752
  </tbody>
753
</table>
754
<h3>Suspicious SQL</h3>
755
<table bgcolor="white" border="1">
756
  <tbody>
757
    <tr>
758
      <td><b>LOAD</b></td>
759
      <td><b>EXECUTES</b></td>
760
      <td><b>SQL_TEXT</b></td>
761
    </tr>
762
    <tr>
763
      <td align="right"> .73%</td>
764
      <td align="right">89</td>
765
      <td>select u.name, o.name, t.spare1, t.pctfree$ from sys.obj$ o,
766
sys.user$ u, sys.tab$ t where (bitand(t.trigflag, 1048576) = 1048576)
767
and o.obj#=t.obj# and o.owner# = u.user# select i.obj#, i.flags,
768
u.name, o.name from sys.obj$ o, sys.user$ u, sys.ind$ i where
769
(bitand(i.flags, 256) = 256 or bitand(i.flags, 512) = 512) and
770
(not((i.type# = 9) and bitand(i.flags,8) = 8)) and o.obj#=i.obj# and
771
o.owner# = u.user# </td>
772
    </tr>
773
    <tr>
774
      <td align="right"> .84%</td>
775
      <td align="right">3</td>
776
      <td>select /*+ RULE */ distinct tabs.table_name, tabs.owner ,
777
partitioned, iot_type , TEMPORARY, table_type, table_type_owner from
778
DBA_ALL_TABLES tabs where tabs.owner = :own </td>
779
    </tr>
780
    <tr>
781
      <td align="right"> 3.95%</td>
782
      <td align="right">6</td>
783
      <td>SELECT round(count(1)*avg(buf.block_size)/1048576) FROM
784
DBA_OBJECTS obj, V$BH bh, dba_segments seg, v$buffer_pool buf WHERE
785
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
786
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
787
seg.segment_type and seg.buffer_pool = buf.name and buf.name =
788
'DEFAULT' </td>
789
    </tr>
790
    <tr>
791
      <td align="right"> 4.50%</td>
792
      <td align="right">6</td>
793
      <td>SELECT round(count(1)*avg(tsp.block_size)/1048576) FROM
794
DBA_OBJECTS obj, V$BH bh, dba_segments seg, dba_tablespaces tsp WHERE
795
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
796
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
797
seg.segment_type and seg.tablespace_name = tsp.tablespace_name </td>
798
    </tr>
799
    <tr>
800
      <td align="right">57.34%</td>
801
      <td align="right">9267</td>
802
      <td>select t.schema, t.name, t.flags, q.name from
803
system.aq$_queue_tables t, sys.aq$_queue_table_affinities aft,
804
system.aq$_queues q where aft.table_objno = t.objno and
805
aft.owner_instance = :1 and q.table_objno = t.objno and q.usage = 0 and
806
bitand(t.flags, 4+16+32+64+128+256) = 0 for update of t.name,
807
aft.table_objno skip locked </td>
808
    </tr>
809
  </tbody>
810
</table>
811
<h3>Expensive SQL</h3>
812
<table bgcolor="white" border="1">
813
  <tbody>
814
    <tr>
815
      <td><b>LOAD</b></td>
816
      <td><b>EXECUTES</b></td>
817
      <td><b>SQL_TEXT</b></td>
818
    </tr>
819
    <tr>
820
      <td align="right"> 5.24%</td>
821
      <td align="right">1</td>
822
      <td>select round(sum(bytes)/1048576) from dba_segments </td>
823
    </tr>
824
    <tr>
825
      <td align="right"> 6.89%</td>
826
      <td align="right">6</td>
827
      <td>SELECT round(count(1)*avg(buf.block_size)/1048576) FROM
828
DBA_OBJECTS obj, V$BH bh, dba_segments seg, v$buffer_pool buf WHERE
829
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
830
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
831
seg.segment_type and seg.buffer_pool = buf.name and buf.name =
832
'DEFAULT' </td>
833
    </tr>
834
    <tr>
835
      <td align="right"> 7.85%</td>
836
      <td align="right">6</td>
837
      <td>SELECT round(count(1)*avg(tsp.block_size)/1048576) FROM
838
DBA_OBJECTS obj, V$BH bh, dba_segments seg, dba_tablespaces tsp WHERE
839
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
840
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
841
seg.segment_type and seg.tablespace_name = tsp.tablespace_name </td>
842
    </tr>
843
    <tr>
844
      <td align="right">33.69%</td>
845
      <td align="right">89</td>
846
      <td>select u.name, o.name, t.spare1, t.pctfree$ from sys.obj$ o,
847
sys.user$ u, sys.tab$ t where (bitand(t.trigflag, 1048576) = 1048576)
848
and o.obj#=t.obj# and o.owner# = u.user# </td>
849
    </tr>
850
    <tr>
851
      <td align="right">36.44%</td>
852
      <td align="right">89</td>
853
      <td>select i.obj#, i.flags, u.name, o.name from sys.obj$ o,
854
sys.user$ u, sys.ind$ i where (bitand(i.flags, 256) = 256 or
855
bitand(i.flags, 512) = 512) and (not((i.type# = 9) and
856
bitand(i.flags,8) = 8)) and o.obj#=i.obj# and o.owner# = u.user# </td>
857
    </tr>
858
  </tbody>
859
</table>
860
<p><a name="postgres" id="postgres"></a></p>
861
<table bgcolor="white" border="1">
862
  <tbody>
863
    <tr>
864
      <td colspan="3">
865
      <h3>postgres7</h3>
866
      </td>
867
    </tr>
868
    <tr>
869
      <td><b>Parameter</b></td>
870
      <td><b>Value</b></td>
871
      <td><b>Description</b></td>
872
    </tr>
873
    <tr bgcolor="#f0f0f0">
874
      <td colspan="3"><i>Ratios</i> &nbsp;</td>
875
    </tr>
876
    <tr>
877
      <td>statistics collector</td>
878
      <td>FALSE</td>
879
      <td>Must be set to TRUE to enable hit ratio statistics (<i>stats_start_collector</i>,<i>stats_row_level</i>
880
and <i>stats_block_level</i> must be set to true in postgresql.conf)</td>
881
    </tr>
882
    <tr>
883
      <td>data cache hit ratio</td>
884
      <td>99.9666031916603</td>
885
      <td>&nbsp;</td>
886
    </tr>
887
    <tr bgcolor="#f0f0f0">
888
      <td colspan="3"><i>IO</i> &nbsp;</td>
889
    </tr>
890
    <tr>
891
      <td>data reads</td>
892
      <td>15</td>
893
      <td>&nbsp; </td>
894
    </tr>
895
    <tr>
896
      <td>data writes</td>
897
      <td>0.000000000000000000</td>
898
      <td>Count of inserts/updates/deletes * coef</td>
899
    </tr>
900
    <tr bgcolor="#f0f0f0">
901
      <td colspan="3"><i>Data Cache</i> &nbsp;</td>
902
    </tr>
903
    <tr>
904
      <td>data cache buffers</td>
905
      <td>1280</td>
906
      <td>Number of cache buffers. <a
907
 href="http://www.varlena.com/GeneralBits/Tidbits/perf.html#basic">Tuning</a></td>
908
    </tr>
909
    <tr>
910
      <td>cache blocksize</td>
911
      <td>8192</td>
912
      <td>(estimate)</td>
913
    </tr>
914
    <tr>
915
      <td>data cache size</td>
916
      <td>10M</td>
917
      <td>&nbsp;</td>
918
    </tr>
919
    <tr>
920
      <td>operating system cache size</td>
921
      <td>80000K</td>
922
      <td>(effective cache size)</td>
923
    </tr>
924
    <tr bgcolor="#f0f0f0">
925
      <td colspan="3"><i>Memory Pools</i> &nbsp;</td>
926
    </tr>
927
    <tr>
928
      <td>sort buffer size</td>
929
      <td>1M</td>
930
      <td>Size of sort buffer (per query)</td>
931
    </tr>
932
    <tr bgcolor="#f0f0f0">
933
      <td colspan="3"><i>Connections</i> &nbsp;</td>
934
    </tr>
935
    <tr>
936
      <td>current connections</td>
937
      <td>13</td>
938
      <td>&nbsp;</td>
939
    </tr>
940
    <tr>
941
      <td>max connections</td>
942
      <td>32</td>
943
      <td>&nbsp;</td>
944
    </tr>
945
    <tr bgcolor="#f0f0f0">
946
      <td colspan="3"><i>Parameters</i> &nbsp;</td>
947
    </tr>
948
    <tr>
949
      <td>rollback buffers</td>
950
      <td>8</td>
951
      <td>WAL buffers</td>
952
    </tr>
953
    <tr>
954
      <td>random page cost</td>
955
      <td>4</td>
956
      <td>Cost of doing a seek (default=4). See <a
957
 href="http://www.varlena.com/GeneralBits/Tidbits/perf.html#less">random_page_cost</a></td>
958
    </tr>
959
  </tbody>
960
</table>
961
</body>
962
</html>