Tune the application server using pre-defined tuning templates
We can use the Python-based tuning script, applyPerfTuningTemplate.py, along with one of its template files, to apply pre-defined performance tuning templates to the application server or cluster. The property-based template files are located in the WAS_HOME\scriptLibraries\perfTuning\V70\ directory. The path for the script files is wsadmin -f <WAS_HOME>\bin\applyPerfTuningTemplate.py.
Best practice: The configuration settings applied by this script and the associated tuning templates should be viewed as potential performance tuning options for you to explore or use as a starting point for additional tuning. The configuration settings that each of the pre-defined templates applies are geared towards optimizing common application server environments or scenarios. Typically, these settings improve performance for many applications.
Because optimizing for performance often involves trade-offs with features, capabilities, or functional behavior, some of these settings might impact application correctness, while other settings might be inappropriate for the environment. Please review the following documentation and consider the impact of these settings to the application inventory and infrastructure.
As with any performance tuning exercise, the settings configured by the predefined templates should be evaluated in a controlled preproduction test environment. We can then create a customized template to refine the tuning settings to meet the specific needs of the applications and production environment. bprac
This topic references one or more of the application server log files. As a recommended alternative, we can configure the server to use the High Performance Extensible Logging (HPEL) log and trace infrastructure instead of using SystemOut.log , SystemErr.log, trace.log, and activity.log files on distributed and IBM i systems. We can also use HPEL in conjunction with the native z/OS logging facilities. If we are using HPEL, we can access all of the log and trace information using the LogViewer command-line tool from the server profile bin directory. See the information about using HPEL to troubleshoot applications for more information on using HPEL.
Typically, when you run the applyPerfTuningTemplate.py script, you will specify either the peak.props template file or the development.props template file to apply against the target server or cluster.
- If we specify the peak.props template file when you run the applyPerfTuningTemplate.py script, the script applies configuration settings that are appropriate for a production environment where application changes are rare and optimal runtime performance is important.
- If we specify the development.props template file when you run the applyPerfTuningTemplate.py script, the script applies configuration settings that are appropriate for a development environment where frequent application updates are performed and system resources are at a minimum.
In addition to these two common templates, a third template file, default.props, is provided to enable you to revert the server configuration settings back to the out-of-the-box defaults settings.
We can also create our own custom tuning template. To create a custom tuning template, copy one of the existing templates, modify the configuration settings to better fit the needs of the applications and environment, and use the applyPerfTuningTemplate.py script to apply these customized settings. The script and properties files leverage the property file configuration management features that wsadmin provides, and can be augmented to tune additional server components. See the topic Using properties files to manage system configuration for more information.
Review the following table to see the configuration changes that occur based on the template file specified when you run the applyPerfTuningTemplate.py script. A blank cell in this table indicates that the listed parameter is not configured, or is configured back to the default settings for the server defaults.
parameters and their template values. The table includes the tuning parameter and its value for the default template, the production
Parameter Server default (default.props template file) Production environment (peak.props template file) Development environment (development.props template file) JVM Heap Size (MB) See the topic Tuning the IBM virtual machine for Java for more information about this setting.
50 min / 256 max 512 min / 512 max 256 min / 512 max Verbose GC See the topic Tuning the IBM virtual machine for Java for more information about this setting.
disabled enabled disabled JVM Diagnostic Trace (Generic JVM Arguments) See the topic Tuning the IBM virtual machine for Java for more information about this setting.
Avoid trouble: This setting might cause issues when web services are used in certain scenarios. If you are running web services, and are experiencing throughput optimization issues, we can remove this parameter from the script, or set the opti level to 0.gotcha
-Dcom.ibm.xml.xlxp.jaxb .opti.level=3 -Dcom.ibm.xml.xlxp.jaxb .opti.level=3 -Dcom.ibm.xml.xlxp.jaxb .opti.level=3 HTTP (9080) and HTTPS (9443) Channel maxKeepAliveRequests See the topic HTTP transport chain custom properties for more information about this setting.
100 10000 10000 TCP Channel maxOpenConnections 20000 500 500 TCP Channel listenBacklog 511 128 128 Development Mode See the topic Application server settings for more information about this setting.
disabled
enabled Server Component Provisioning See the topic Application server settings for more information about this setting.
disabled enabled enabled PMI Statistic Set See the topic Enable PMI data collection for more information about this setting.
basic none none Authentication Cache Timeout See the topic Authentication cache settings for more information about this setting.
10 minutes 60 minutes 60 minutes Data Source Connection Pool Size* See the topic Connection pool settings for more information about this setting.
1 min / 10 max 10 min / 50 max
Data Source Prepared Statement Cache Size* See the topic WebSphere Application Server data source properties for more information about this setting.
10 50
ORB Pass-by-Reference** See the topic Request Broker service settings for more information about this setting.
disabled enabled enabled Web Server Plug-in ServerIOTimeout 900 900 900 Thread Pools (Web Container, ORB, Default) See the topic Thread pool settings for more information about this setting.
50 min / 50 max, 10 min / 50 max, 20 min / 20 max
5 min / 10 max Table notes:
- * Indicates items that are tuned only if they exist in the configuration. For example, a data source connection pool typically does not exist until an application is installed on the application server. If these items are created after the run the script, they are given the standard server default values unless specified other settings.
- ** Enable ORB Pass-By-Reference can cause incorrect application behavior in some cases, because the Java EE standard assumes pass-by-value semantics. However, enabling this option can improve performance up to 50% or more if the EJB client and server are installed in the same instance, and the application is written to take advantage of these feature. The topic Object Request Broker service settings can help you determine if this setting is appropriate for the environment.
Following are a few subtle platform-specific tuning differences:
Solaris platform
- The following Generic JVM arguments are used for both the production and development environments:
- XX:-UseAdaptiveSizePolicy
- XX:+UseParallelGC
- XX:+AggressiveOpts
- XX:+UnlockDiagnosticVMOptions -server
- Dcom.ibm.xml.xlxp.jaxb.opti.level=3
HP-UX platform
- The following Generic JVM arguments are used for both the production and development environments:
- XX:+AggressiveOpts
- XX:+ForceMmapReserved
- XX:SurvivorRatio=16
- XX:+UseParallelGC
- Djava.nio.channels.spi.SelectorProvider=sun.nio.ch.DevPollSelectorProvider
- XX:-ExtraPollBeforeRead -XX:+UseSpinning
- Dcom.ibm.xml.xlxp.jaxb.opti.level=3
- (zos) z/OS platform
- The default JVM heap sizes are different than those on the other platforms:
- Default minimum heap size: 256 MB
- Default maximum heap size: 512 MB
- Start wsadmin.sh if it is not already running, and then complete one of the following actions to tune an application server or all of the application servers in a cluster.
- Run the applyPerfTuningTemplate.py script to tune a specific server or cluster of servers running in a production environment.
wsadmin -f applyPerfTuningTemplate.py [-nodeName node -serverName server_name][clusterName cluster_name] -templateFile WAS_HOME\scriptLibraries\perfTuning\V70\peak.props
- Run the applyPerfTuningTemplate.py script to tune a specific server or cluster of servers running in a development environment.
wsadmin -f applyPerfTuningTemplate.py [-nodeName node -serverName server_name][clusterName cluster_name] -templateFile WAS_HOME\scriptLibraries\perfTuning\V70\development.props
- Run the applyPerfTuningTemplate.py script to change the settings for a server or a cluster back to the standard out-of-the-box default configuration settings.
wsadmin -f applyPerfTuningTemplate.py [-nodeName node -serverName server_name][clusterName cluster_name] -templateFile WAS_HOME\scriptLibraries\perfTuning\V70\default.props
What to do next
Conduct a performance evaluation, and tuning exercise to determine if you should further fine tune the server for the specific applications.
Related tasks
Tune application servers Tune the IBM virtual machine for Java Use properties files to manage system configuration Enable PMI data collection
Java virtual machine custom properties HTTP transport channel custom properties Application server settings Authentication cache settings Connection pool properties WebSphere Application Server data source properties Object Request Broker service settings