forked from extern/egroupware
963 lines
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HTML
963 lines
31 KiB
HTML
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html>
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<head>
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<title>ADOdb Performance Monitoring Library</title>
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<style type="text/css">
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body, td {
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/*font-family: Arial, Helvetica, sans-serif;*/
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font-size: 11pt;
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}
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pre {
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font-size: 9pt;
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background-color: #EEEEEE; padding: .5em; margin: 0px;
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}
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.toplink {
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font-size: 8pt;
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}
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</style>
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</head>
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<body>
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<h3>The ADOdb Performance Monitoring Library</h3>
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<p>V4.65 22 July 2005 (c) 2000-2005 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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<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>$perf->HealthCheck()</code>
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or <code>$perf->HealthCheckCLI()</code>. </li>
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<li>User interface for performance monitoring, <code>$perf->UI()</code>.
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This UI displays:
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<ul>
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<li>the health check, </li>
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<li>all SQL logged and their query plans, </li>
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<li>a list of all tables in the current database</li>
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<li>an interface to continiously poll the server for key
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performance indicators such as CPU, Hit Ratio, Disk I/O</li>
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<li>a form where you can enter and run SQL interactively.</li>
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</ul>
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</li>
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<li>Gives you an API to build database monitoring tools for a server
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farm, for example calling <code>$perf->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><?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>$conn->Connect($server,$user,$pwd,$db);<br>$perf =& NewPerfMonitor($conn);<br>$perf->UI($pollsecs=5);<br>?><br></pre>
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<p>It is also possible to retrieve a single database parameter:</p>
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<pre>$size = $perf->DBParameter('data cache size');<br></pre>
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<p>
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Thx to Fernando Ortiz for the informix module. </p>
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<h3>Methods</h3>
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<a name="ui"></a>
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<p><font face="Courier New, Courier, mono">function <b>UI($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->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> <a href="#">View
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SQL</a> <a href="#">View Tables</a> <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> </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> </td>
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</tr>
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<tr bgcolor="#f0f0f0">
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<td colspan="3"><i>IO</i> </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> </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> </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> </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> </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> </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> </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> </td>
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</tr>
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<tr bgcolor="#f0f0f0">
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<td colspan="3"><i>Parameters</i> </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 => 56.5635738832 <br> InnoDB cache hit ratio => 0 <br> sql cache hit ratio => 0 <br> -- IO -- <br> data reads => 2622 <br> data writes => 2415.5 <br> -- Data Cache -- <br> MyISAM data cache size => 512K <br> BDB data cache size => 8388600<br> InnoDB data cache size => 8M<br> -- Memory Pools -- <br> read buffer size => 131072 <br> sort buffer size => 65528 <br> table cache => 4 <br> -- Connections -- <br> current connections => 3<br> max connections => 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->LogSQL(true) is enabled. The adodb_logsql table is
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populated using <a href="docs-adodb.htm#logsql">$conn->LogSQL</a>.
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</p>
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<p>For Oracle, Ixora Suspicious SQL returns a list of SQL statements
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that are most cache intensive as a HTML table. These are data intensive
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SQL statements that could benefit most from tuning. </p>
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<p><font face="Courier New, Courier, mono">function <b>ExpensiveSQL</b>($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->LogSQL(true) is enabled. The adodb_logsql table is
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populated using <a href="docs-adodb.htm#logsql">$conn->LogSQL</a>.
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</p>
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<p>For Oracle, Ixora Expensive SQL returns a list of SQL statements
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that are taking the most CPU load when run.
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</p>
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<p><font face="Courier New, Courier, mono">function <b>InvalidSQL</b>($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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$connection->LogSQL(true) is enabled.
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</p>
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<p><font face="Courier New, Courier, mono">function <b>Tables</b>($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->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->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->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 $this->GetIndexDescription($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' => 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> </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 </td>
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<td> </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 </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 </td>
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<td> </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 </td>
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<td> </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 </td>
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<td> </td>
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</tr>
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</tbody>
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</table>
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<p> </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">
|
|
<td colspan="3"><i>Ratios</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache hit
|
|
ratio</td>
|
|
<td>95.89</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>IO</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data
|
|
reads</td>
|
|
<td>1883884</td>
|
|
<td>Page reads</td>
|
|
</tr>
|
|
<tr>
|
|
<td>data writes</td>
|
|
<td>1716724</td>
|
|
<td>Page writes</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Connections</i>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>current connections</td>
|
|
<td>263.0</td>
|
|
<td>Number of
|
|
sessions</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</p>
|
|
<p> </p>
|
|
<p><a name="mysql" id="mysql"></a></p>
|
|
<table bgcolor="white" border="1">
|
|
<tbody>
|
|
<tr>
|
|
<td colspan="3">
|
|
<h3>mysql</h3>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td><b>Parameter</b></td>
|
|
<td><b>Value</b></td>
|
|
<td><b>Description</b></td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Ratios</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>MyISAM cache hit ratio</td>
|
|
<td>56.5658301822</td>
|
|
<td><font color="red"><b>Cache ratio should be at least 90%</b></font></td>
|
|
</tr>
|
|
<tr>
|
|
<td>InnoDB cache hit ratio</td>
|
|
<td>0</td>
|
|
<td><font color="red"><b>Cache ratio should be at least 90%</b></font></td>
|
|
</tr>
|
|
<tr>
|
|
<td>sql cache hit ratio</td>
|
|
<td>0</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>IO</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data reads</td>
|
|
<td>2622</td>
|
|
<td>Number of selects (Key_reads is not accurate)</td>
|
|
</tr>
|
|
<tr>
|
|
<td>data writes</td>
|
|
<td>2415.5</td>
|
|
<td>Number of inserts/updates/deletes * coef (Key_writes is not
|
|
accurate)</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Data Cache</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>MyISAM data cache size</td>
|
|
<td>512K</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>BDB data cache size</td>
|
|
<td>8388600</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>InnoDB data cache size</td>
|
|
<td>8M</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Memory Pools</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>read buffer size</td>
|
|
<td>131072</td>
|
|
<td>(per session)</td>
|
|
</tr>
|
|
<tr>
|
|
<td>sort buffer size</td>
|
|
<td>65528</td>
|
|
<td>Size of sort buffer (per session)</td>
|
|
</tr>
|
|
<tr>
|
|
<td>table cache</td>
|
|
<td>4</td>
|
|
<td>Number of tables to keep open</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Connections</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>current connections</td>
|
|
<td>3</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>max connections</td>
|
|
<td>100</td>
|
|
<td> </td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p> </p>
|
|
<p><a name="mssql" id="mssql"></a></p>
|
|
<table bgcolor="white" border="1">
|
|
<tbody>
|
|
<tr>
|
|
<td colspan="3">
|
|
<h3>mssql</h3>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td><b>Parameter</b></td>
|
|
<td><b>Value</b></td>
|
|
<td><b>Description</b></td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Ratios</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache hit ratio</td>
|
|
<td>99.9999694824</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>prepared sql hit ratio</td>
|
|
<td>99.7738579828</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>adhoc sql hit ratio</td>
|
|
<td>98.4540169133</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>IO</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data reads</td>
|
|
<td>2858</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data writes</td>
|
|
<td>1438</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Data Cache</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache size</td>
|
|
<td>4362</td>
|
|
<td>in K</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Connections</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>current connections</td>
|
|
<td>14</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>max connections</td>
|
|
<td>32767</td>
|
|
<td> </td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p> </p>
|
|
<p><a name="oci8" id="oci8"></a></p>
|
|
<table bgcolor="white" border="1">
|
|
<tbody>
|
|
<tr>
|
|
<td colspan="3">
|
|
<h3>oci8</h3>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td><b>Parameter</b></td>
|
|
<td><b>Value</b></td>
|
|
<td><b>Description</b></td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Ratios</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache hit ratio</td>
|
|
<td>96.98</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>sql cache hit ratio</td>
|
|
<td>99.96</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>IO</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data reads</td>
|
|
<td>842938</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data writes</td>
|
|
<td>16852</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Data Cache</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache buffers</td>
|
|
<td>3072</td>
|
|
<td>Number of cache buffers</td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache blocksize</td>
|
|
<td>8192</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache size</td>
|
|
<td>48M</td>
|
|
<td>shared_pool_size</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Memory Pools</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>java pool size</td>
|
|
<td>0</td>
|
|
<td>java_pool_size</td>
|
|
</tr>
|
|
<tr>
|
|
<td>sort buffer size</td>
|
|
<td>512K</td>
|
|
<td>sort_area_size (per query)</td>
|
|
</tr>
|
|
<tr>
|
|
<td>user session buffer size</td>
|
|
<td>8M</td>
|
|
<td>large_pool_size</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Connections</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>current connections</td>
|
|
<td>1</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>max connections</td>
|
|
<td>170</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache utilization ratio</td>
|
|
<td>88.46</td>
|
|
<td>Percentage of data cache actually in use</td>
|
|
</tr>
|
|
<tr>
|
|
<td>user cache utilization ratio</td>
|
|
<td>91.76</td>
|
|
<td>Percentage of user cache (large_pool) actually in use</td>
|
|
</tr>
|
|
<tr>
|
|
<td>rollback segments</td>
|
|
<td>11</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Transactions</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>peak transactions</td>
|
|
<td>24</td>
|
|
<td>Taken from high-water-mark</td>
|
|
</tr>
|
|
<tr>
|
|
<td>max transactions</td>
|
|
<td>187</td>
|
|
<td>max transactions / rollback segments < 3.5 (or
|
|
transactions_per_rollback_segment)</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Parameters</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>cursor sharing</td>
|
|
<td>EXACT</td>
|
|
<td>Cursor reuse strategy. Recommended is FORCE (8i+) or SIMILAR
|
|
(9i+). See <a
|
|
href="http://www.praetoriate.com/oracle_tips_cursor_sharing.htm">cursor_sharing</a>.</td>
|
|
</tr>
|
|
<tr>
|
|
<td>index cache cost</td>
|
|
<td>0</td>
|
|
<td>% of indexed data blocks expected in the cache. Recommended
|
|
is 20-80. Default is 0. See <a
|
|
href="http://www.dba-oracle.com/oracle_tips_cbo_part1.htm">optimizer_index_caching</a>.</td>
|
|
</tr>
|
|
<tr>
|
|
<td>random page cost</td>
|
|
<td>100</td>
|
|
<td>Recommended is 10-50 for TP, and 50 for data warehouses.
|
|
Default is 100. See <a
|
|
href="http://www.dba-oracle.com/oracle_tips_cost_adj.htm">optimizer_index_cost_adj</a>.
|
|
</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<h3>Suspicious SQL</h3>
|
|
<table bgcolor="white" border="1">
|
|
<tbody>
|
|
<tr>
|
|
<td><b>LOAD</b></td>
|
|
<td><b>EXECUTES</b></td>
|
|
<td><b>SQL_TEXT</b></td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> .73%</td>
|
|
<td align="right">89</td>
|
|
<td>select u.name, o.name, t.spare1, t.pctfree$ from sys.obj$ o,
|
|
sys.user$ u, sys.tab$ t where (bitand(t.trigflag, 1048576) = 1048576)
|
|
and o.obj#=t.obj# and o.owner# = u.user# select i.obj#, i.flags,
|
|
u.name, o.name from sys.obj$ o, sys.user$ u, sys.ind$ i where
|
|
(bitand(i.flags, 256) = 256 or bitand(i.flags, 512) = 512) and
|
|
(not((i.type# = 9) and bitand(i.flags,8) = 8)) and o.obj#=i.obj# and
|
|
o.owner# = u.user# </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> .84%</td>
|
|
<td align="right">3</td>
|
|
<td>select /*+ RULE */ distinct tabs.table_name, tabs.owner ,
|
|
partitioned, iot_type , TEMPORARY, table_type, table_type_owner from
|
|
DBA_ALL_TABLES tabs where tabs.owner = :own </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> 3.95%</td>
|
|
<td align="right">6</td>
|
|
<td>SELECT round(count(1)*avg(buf.block_size)/1048576) FROM
|
|
DBA_OBJECTS obj, V$BH bh, dba_segments seg, v$buffer_pool buf WHERE
|
|
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
|
|
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
|
|
seg.segment_type and seg.buffer_pool = buf.name and buf.name =
|
|
'DEFAULT' </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> 4.50%</td>
|
|
<td align="right">6</td>
|
|
<td>SELECT round(count(1)*avg(tsp.block_size)/1048576) FROM
|
|
DBA_OBJECTS obj, V$BH bh, dba_segments seg, dba_tablespaces tsp WHERE
|
|
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
|
|
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
|
|
seg.segment_type and seg.tablespace_name = tsp.tablespace_name </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right">57.34%</td>
|
|
<td align="right">9267</td>
|
|
<td>select t.schema, t.name, t.flags, q.name from
|
|
system.aq$_queue_tables t, sys.aq$_queue_table_affinities aft,
|
|
system.aq$_queues q where aft.table_objno = t.objno and
|
|
aft.owner_instance = :1 and q.table_objno = t.objno and q.usage = 0 and
|
|
bitand(t.flags, 4+16+32+64+128+256) = 0 for update of t.name,
|
|
aft.table_objno skip locked </td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<h3>Expensive SQL</h3>
|
|
<table bgcolor="white" border="1">
|
|
<tbody>
|
|
<tr>
|
|
<td><b>LOAD</b></td>
|
|
<td><b>EXECUTES</b></td>
|
|
<td><b>SQL_TEXT</b></td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> 5.24%</td>
|
|
<td align="right">1</td>
|
|
<td>select round(sum(bytes)/1048576) from dba_segments </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> 6.89%</td>
|
|
<td align="right">6</td>
|
|
<td>SELECT round(count(1)*avg(buf.block_size)/1048576) FROM
|
|
DBA_OBJECTS obj, V$BH bh, dba_segments seg, v$buffer_pool buf WHERE
|
|
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
|
|
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
|
|
seg.segment_type and seg.buffer_pool = buf.name and buf.name =
|
|
'DEFAULT' </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right"> 7.85%</td>
|
|
<td align="right">6</td>
|
|
<td>SELECT round(count(1)*avg(tsp.block_size)/1048576) FROM
|
|
DBA_OBJECTS obj, V$BH bh, dba_segments seg, dba_tablespaces tsp WHERE
|
|
obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner =
|
|
seg.owner and obj.object_name = seg.segment_name and obj.object_type =
|
|
seg.segment_type and seg.tablespace_name = tsp.tablespace_name </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right">33.69%</td>
|
|
<td align="right">89</td>
|
|
<td>select u.name, o.name, t.spare1, t.pctfree$ from sys.obj$ o,
|
|
sys.user$ u, sys.tab$ t where (bitand(t.trigflag, 1048576) = 1048576)
|
|
and o.obj#=t.obj# and o.owner# = u.user# </td>
|
|
</tr>
|
|
<tr>
|
|
<td align="right">36.44%</td>
|
|
<td align="right">89</td>
|
|
<td>select i.obj#, i.flags, u.name, o.name from sys.obj$ o,
|
|
sys.user$ u, sys.ind$ i where (bitand(i.flags, 256) = 256 or
|
|
bitand(i.flags, 512) = 512) and (not((i.type# = 9) and
|
|
bitand(i.flags,8) = 8)) and o.obj#=i.obj# and o.owner# = u.user# </td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
<p><a name="postgres" id="postgres"></a></p>
|
|
<table bgcolor="white" border="1">
|
|
<tbody>
|
|
<tr>
|
|
<td colspan="3">
|
|
<h3>postgres7</h3>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td><b>Parameter</b></td>
|
|
<td><b>Value</b></td>
|
|
<td><b>Description</b></td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Ratios</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>statistics collector</td>
|
|
<td>FALSE</td>
|
|
<td>Must be set to TRUE to enable hit ratio statistics (<i>stats_start_collector</i>,<i>stats_row_level</i>
|
|
and <i>stats_block_level</i> must be set to true in postgresql.conf)</td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache hit ratio</td>
|
|
<td>99.9666031916603</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>IO</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data reads</td>
|
|
<td>15</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data writes</td>
|
|
<td>0.000000000000000000</td>
|
|
<td>Count of inserts/updates/deletes * coef</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Data Cache</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache buffers</td>
|
|
<td>1280</td>
|
|
<td>Number of cache buffers. <a
|
|
href="http://www.varlena.com/GeneralBits/Tidbits/perf.html#basic">Tuning</a></td>
|
|
</tr>
|
|
<tr>
|
|
<td>cache blocksize</td>
|
|
<td>8192</td>
|
|
<td>(estimate)</td>
|
|
</tr>
|
|
<tr>
|
|
<td>data cache size</td>
|
|
<td>10M</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>operating system cache size</td>
|
|
<td>80000K</td>
|
|
<td>(effective cache size)</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Memory Pools</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>sort buffer size</td>
|
|
<td>1M</td>
|
|
<td>Size of sort buffer (per query)</td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Connections</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>current connections</td>
|
|
<td>13</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>max connections</td>
|
|
<td>32</td>
|
|
<td> </td>
|
|
</tr>
|
|
<tr bgcolor="#f0f0f0">
|
|
<td colspan="3"><i>Parameters</i> </td>
|
|
</tr>
|
|
<tr>
|
|
<td>rollback buffers</td>
|
|
<td>8</td>
|
|
<td>WAL buffers</td>
|
|
</tr>
|
|
<tr>
|
|
<td>random page cost</td>
|
|
<td>4</td>
|
|
<td>Cost of doing a seek (default=4). See <a
|
|
href="http://www.varlena.com/GeneralBits/Tidbits/perf.html#less">random_page_cost</a></td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</body>
|
|
</html>
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