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HTML
387 lines
27 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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</head>
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<body>
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<h3>The ADOdb Performance Monitoring Library</h3>
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<p>V4.22 15 Apr 2004 (c) 2000-2004 John Lim (jlim#natsoft.com.my)</p>
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<p><font size="1">This software is dual licensed using BSD-Style and LGPL. This
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means you can use it in compiled proprietary and commercial products.</font></p>
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<p>Useful ADOdb links: <a href=http://php.weblogs.com/adodb?perf=1>Download</a> <a href=http://php.weblogs.com/adodb_manual?perf=1>Other Docs</a>
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<h3>Introduction</h3>
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<p>This module, part of the ADOdb package, provides both CLI and HTML interfaces
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for viewing key performance indicators of your database. This is very useful
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because web apps such as the popular phpMyAdmin currently do not provide effective
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database health monitoring tools. The module provides the following:
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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>.
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<li>User interface for performance monitoring, <code>$perf->UI()</code>.
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This UI displays:
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<ul>
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<li>the health check, </li>
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<li>all SQL logged and their query plans, </li>
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<li>a list of all tables in the current database</li>
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<li>an interface to continiously poll the server for key performance indicators
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such as CPU, Hit Ratio, Disk I/O</li>
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<li>a form where you can enter and run SQL interactively.</li>
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</ul>
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<li>Gives you an API to build database monitoring tools for a server farm, for
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example calling <code>$perf->DBParameter('data cache hit ratio')</code> returns
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this very important statistic in a database independant manner.
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</ul>
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<p>ADOdb also has the ability to log all SQL executed, using <a href=docs-adodb.htm#logsql>LogSQL</a>.
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All SQL logged can be analyzed through the performance monitor <a href=#ui>UI</a>.
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In the <i>View SQL</i> mode, we categorize the SQL into 3 types:
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<ul>
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<li><b>Suspicious SQL</b>: queries with high average execution times, and are potential
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candidates for rewriting</li>
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<li><b>Expensive SQL</b>: queries with high total execution times (#executions * avg
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execution time). Optimizing these queries will reduce your database server
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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 every PHP
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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 health
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check, and does not provide a complete overview of database performance. Although
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some attempt has been made to make it work across multiple databases in the
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same way, it is impossible to do so. For the health check, we do try to display
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the following key database 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 cache.</li>
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<li><b>data cache hit ratio</b> - A measure of how effective the cache is, as a percentage.
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The higher, the better.</li>
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<li><b>current connections</b> - The number of sessions currently connected to the
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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 most of
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the parameters. </p>
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<p>Code improvements as very welcome, particularly adding new database parameters
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and automated tuning hints.</p><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>, <em>oci8</em>,
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<em>mssql</em>, <i>informix</i> and <em>db2</em> are supported. To create a
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new performance monitor, call NewPerfMonitor( ) as demonstrated below: </p>
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<pre>
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<?php
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include_once('adodb.inc.php');
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session_start(); <font color="#006600"># session variables required for monitoring</font>
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$conn = ADONewConnection($driver);
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$conn->Connect($server,$user,$pwd,$db);
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$perf =& NewPerfMonitor($conn);
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$perf->UI($pollsecs=5);<font color="#006600"></font>
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?>
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</pre>
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<p>It is also possible to retrieve a single database parameter:</p>
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<pre>$size = $perf->DBParameter('data cache size');
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</pre>
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<p>
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Thx to Fernando Ortiz for the informix module.
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<h3>Methods</h3><a name=ui></a>
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<p><font face="Courier New, Courier, mono">function <b>UI($pollsecs=5)</b></font></p>
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<p>Creates a web-based user interface for performance monitoring. When you click on Poll,
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server statistics will be displayed every $pollsecs seconds. See <a href="#usage">Usage</a>
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above.
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<p>Since 4.11, we allow users to enter and run SQL interactively via the "Run SQL" link. To disable
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this for security reasons, set this constant before calling $perf->UI().
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<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 border=1 width=100% bgcolor=lightyellow><tr>
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<td> <b><a href=http://php.weblogs.com/adodb?perf=1>ADOdb</a> Performance
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Monitor</b> for localhost, db=test<br>
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<font size=-1>PostgreSQL 7.3.2 on i686-pc-cygwin, compiled by GCC gcc (GCC)
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3.2 20020927 (prerelease)</font></tr>
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<tr><td>
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<a href=#>Performance Stats</a> <a href=#>View SQL</a>
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<a href=#>View Tables</a> <a href=#>Poll Stats</a></tr></table><table border=1 bgcolor=white><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>TRUE</td><td>Value must be 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>
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<tr><td>data cache hit ratio</td><td>99.7967555299239</td><td> </td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> </td></tr><tr><td>data reads</td><td>125</td><td> </td></tr>
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<tr><td>data writes</td><td>21.78125000000000000</td><td>Count of inserts/updates/deletes * coef</td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Data Cache</i> </td></tr><tr><td>data cache buffers</td><td>640</td><td>Number of cache buffers. <a href=http://www.varlena.com/GeneralBits/Tidbits/perf.html#basic>Tuning</a></td></tr>
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<tr><td>cache blocksize</td><td>8192</td><td>(estimate)</td></tr>
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<tr><td>data cache size</td><td>5M</td><td> </td></tr>
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<tr><td>operating system cache size</td><td>80M</td><td>(effective cache size)</td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Memory Usage</i> </td></tr><tr><td>sort buffer size</td><td>1M</td><td>Size of sort buffer (per query)</td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> </td></tr><tr><td>current connections</td><td>0</td><td> </td></tr>
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<tr><td>max connections</td><td>32</td><td> </td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Parameters</i> </td></tr><tr><td>rollback buffers</td><td>8</td><td>WAL buffers</td></tr>
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<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>
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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 need to
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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 line interface.
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You will need to echo or print the output of this function. Sample output for
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mysql:</p>
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<pre>
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-- Ratios --
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MyISAM cache hit ratio => 56.5635738832
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InnoDB cache hit ratio => 0
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sql cache hit ratio => 0
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-- IO --
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data reads => 2622
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data writes => 2415.5
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-- Data Cache --
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MyISAM data cache size => 512K
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BDB data cache size => 8388600
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InnoDB data cache size => 8M
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-- Memory Pools --
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read buffer size => 131072
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sort buffer size => 65528
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table cache => 4
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-- Connections --
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current connections => 3
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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>
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<p> Run in infinite loop, displaying the following information every $pollSecs.
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This will not work properly if output buffering is enabled.
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In the example below, $pollSecs=3:
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<pre>
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Accumulating statistics...
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Time WS-CPU% Hit% Sess Reads/s Writes/s
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11:08:30 0.7 56.56 1 0.0000 0.0000
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11:08:33 1.8 56.56 2 0.0000 0.0000
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11:08:36 11.1 56.55 3 2.5000 0.0000
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11:08:39 9.8 56.55 2 3.1121 0.0000
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11:08:42 2.8 56.55 1 0.0000 0.0000
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11:08:45 7.4 56.55 2 0.0000 1.5000
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</pre>
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<p><b>WS-CPU%</b> is the Web Server CPU load of the server that PHP is running
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from (eg. the database client), and not the database. The <b>Hit%</b> is the
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data cache hit ratio. <b>Sess</b> is the current number of sessions connected
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to the database. If you are using persistent connections, this should not change
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much. The <b>Reads/s</b> and <b>Writes/s</b> are synthetic values to give the
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viewer a rough guide to I/O, and are not to be taken literally.
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<p><font face="Courier New, Courier, mono">function <b>SuspiciousSQL</b>($numsql=10)</font></p>
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<p>Returns SQL which have high average execution times as a HTML table. Each sql statement
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is hyperlinked to a new window which details the execution plan and the scripts that execute this SQL.
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<p> The number of statements returned is determined by $numsql. Data is taken from the adodb_logsql table, where the sql statements are logged when
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$connection->LogSQL(true) is enabled. The adodb_logsql table is populated using <a href=docs-adodb.htm#logsql>$conn->LogSQL</a>.
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<p>For Oracle, Ixora Suspicious SQL returns a list of SQL statements that are most cache intensive as a HTML table.
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These are data intensive SQL statements that could benefit most from tuning.
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<p><font face="Courier New, Courier, mono">function <b>ExpensiveSQL</b>($numsql=10)</font></p>
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<p>Returns SQL whose total execution time (avg time * #executions) is 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 scripts that execute this SQL.
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<p> The number of statements returned is determined by $numsql. Data is taken from the adodb_logsql table, where the sql statements are logged when
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$connection->LogSQL(true) is enabled. The adodb_logsql table is populated using <a href=docs-adodb.htm#logsql>$conn->LogSQL</a>.
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<p>For Oracle, Ixora Expensive SQL returns a list of SQL statements that are taking the most CPU load
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when run.
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<p><font face="Courier New, Courier, mono">function <b>InvalidSQL</b>($numsql=10)</font></p>
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<p>Returns a list of invalid SQL as an HTML table.
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<p>Data is taken from the adodb_logsql table, where the sql statements are logged when
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$connection->LogSQL(true) is enabled.
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<p><font face="Courier New, Courier, mono">function <b>Tables</b>($orderby=1)</font></p>
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<p>Returns information on all tables in a database, with the first two fields
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containing the table name and table size, the remaining fields depend on the
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database driver. If $orderby is set to 1, it will sort by name. If $orderby
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is set to 2, then it will sort by table size. Some database drivers (mssql and
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mysql) will ignore the $orderby clause. For postgresql, the information is up-to-date
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since the last <i>vacuum</i>. Not supported currently for db2.</p>
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<h3>Raw Functions</h3>
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<p>Raw functions return values without any formatting.</p>
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<p><font face="Courier New, Courier, mono">function <b>DBParameter</b>($paramname)</font></p>
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<p>Returns the value of a database parameter, such as $this->DBParameter("data
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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 percentage.
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Only works for Linux and Windows. For Windows, WMI must be 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 $settings. The $settings
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data structure is an associative array. Each element of the array defines a
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database parameter. The key is the name of the database parameter. If no key is defined,
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then it is assumed to be a section break, and the value is the name of the section break.
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If 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 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 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 v\$parameter where
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name='db_block_size'", </li>
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<li>array holding sql string and field to look for, e.g. array('show variables','table_cache');
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optional 3rd parameter is the $rs->fields[$index] to use (otherwise
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$index=1), and optional 4th parameter is a constant to multiply the result
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with (typically 100 for percentage calculations),</li>
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<li>a string prefixed by =, then a PHP method of the class is invoked, e.g.
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to invoke $this->GetIndexValue(), set this array element to '=GetIndexValue',
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<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 =, then
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it is interpreted as a method call, just as in (1c) above, taking one parameter,
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the current value. E.g. '=GetIndexDescription' will invoke $this->GetIndexDescription($val).
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This is useful for 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
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array("show variables", 'table_cache'), # array (type 1b)
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'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 href="#mysql">mysql</a> <a href="#mssql">mssql</a>
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<a href="#oci8">oci8</a> <a href="#postgres">postgres</a></p>
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<p><a name=db2></a></p>
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<table border=1 bgcolor=white>
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<tr>
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<td colspan=3> <h3>db2</h3></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 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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</table>
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<p> <p>
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<a name=informix></a>
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<table border=1 bgcolor=white><tr><td
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colspan=3><h3>informix</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Val
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ue</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td
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colspan=3><i>Ratios</i> </td></tr><tr><td>data cache hit
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ratio</td><td>95.89</td><td> </td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> </td></tr><tr><td>data
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reads</td><td>1883884</td><td>Page reads</td></tr>
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<tr><td>data writes</td><td>1716724</td><td>Page writes</td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i>
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</td></tr><tr><td>current connections</td><td>263.0</td><td>Number of
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sessions</td></tr>
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</table>
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<p> </p>
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<p><a name=mysql id="mysql"></a></p><table border=1 bgcolor=white><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>
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<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>
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<tr><td>sql cache hit ratio</td><td>0</td><td> </td></tr>
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<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>
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<tr><td>data writes</td><td>2415.5</td><td>Number of inserts/updates/deletes * coef (Key_writes is not accurate)</td></tr>
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<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>
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<tr><td>BDB data cache size</td><td>8388600</td><td> </td></tr>
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<tr><td>InnoDB data cache size</td><td>8M</td><td> </td></tr>
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<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>
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<tr><td>sort buffer size</td><td>65528</td><td>Size of sort buffer (per session)</td></tr>
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<tr><td>table cache</td><td>4</td><td>Number of tables to keep open</td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> </td></tr><tr><td>current connections</td><td>3</td><td> </td></tr>
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<tr><td>max connections</td><td>100</td><td> </td></tr>
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</table>
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<p> </p>
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<p><a name=mssql id="mssql"></a></p>
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<table border=1 bgcolor=white><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>
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<tr><td>prepared sql hit ratio</td><td>99.7738579828</td><td> </td></tr>
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<tr><td>adhoc sql hit ratio</td><td>98.4540169133</td><td> </td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> </td></tr><tr><td>data reads</td><td>2858</td><td> </td></tr>
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<tr><td>data writes</td><td>1438</td><td> </td></tr>
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<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>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> </td></tr><tr><td>current connections</td><td>14</td><td> </td></tr>
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<tr><td>max connections</td><td>32767</td><td> </td></tr>
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</table>
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<p> </p>
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<p><a name=oci8 id="oci8"></a></p>
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<table border=1 bgcolor=white><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>
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<tr><td>sql cache hit ratio</td><td>99.96</td><td> </td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> </td></tr><tr><td>data reads</td><td>842938</td><td> </td></tr>
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<tr><td>data writes</td><td>16852</td><td> </td></tr>
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<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>
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<tr><td>data cache blocksize</td><td>8192</td><td> </td></tr>
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<tr><td>data cache size</td><td>48M</td><td>shared_pool_size</td></tr>
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<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>
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<tr><td>sort buffer size</td><td>512K</td><td>sort_area_size (per query)</td></tr>
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<tr><td>user session buffer size</td><td>8M</td><td>large_pool_size</td></tr>
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<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> </td></tr><tr><td>current connections</td><td>1</td><td> </td></tr>
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<tr><td>max connections</td><td>170</td><td> </td></tr>
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<tr><td>data cache utilization ratio</td><td>88.46</td><td>Percentage of data cache actually in use</td></tr>
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<tr><td>user cache utilization ratio</td><td>91.76</td><td>Percentage of user cache (large_pool) actually in use</td></tr>
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<tr><td>rollback segments</td><td>11</td><td> </td></tr>
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<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>
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<tr><td>max transactions</td><td>187</td><td>max transactions / rollback segments < 3.5 (or transactions_per_rollback_segment)</td></tr>
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<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>
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<tr><td>index cache cost</td><td>0</td><td>% of indexed data blocks expected in the cache.
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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>
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<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>
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</table>
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<h3>Suspicious SQL</h3>
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<table border=1 bgcolor=white><tr><td><b>LOAD</b></td><td><b>EXECUTES</b></td><td><b>SQL_TEXT</b></td></tr>
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<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>
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<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>
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<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>
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<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$BH bh, dba_segments seg, dba_tablespaces tsp WHERE obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner = seg.owner and obj.object_name = seg.segment_name and obj.object_type = seg.segment_type and seg.tablespace_name = tsp.tablespace_name </td></tr>
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<tr><td align=right>57.34%</td><td align=right>9267</td><td>select t.schema, t.name, t.flags, q.name from system.aq$_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></table>
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<h3>Expensive SQL</h3>
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|
<table border=1 bgcolor=white><tr><td><b>LOAD</b></td><td><b>EXECUTES</b></td><td><b>SQL_TEXT</b></td></tr>
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<tr><td align=right> 5.24%</td><td align=right>1</td><td>select round(sum(bytes)/1048576) from dba_segments </td></tr>
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<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>
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<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$BH bh, dba_segments seg, dba_tablespaces tsp WHERE obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner = seg.owner and obj.object_name = seg.segment_name and obj.object_type = seg.segment_type and seg.tablespace_name = tsp.tablespace_name </td></tr>
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<tr><td align=right>33.69%</td><td align=right>89</td><td>select u.name, o.name, t.spare1, t.pctfree$ 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>
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<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></table>
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<p><a name=postgres id="postgres"></a></p>
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<table border=1 bgcolor=white><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>
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<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>
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<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>
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<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>
|
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<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>
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</table>
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</body>
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</html>
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