Red Hat SummitEste conteúdo não está disponível no idioma selecionado.
Chapter 6. Optimize RHAMT Performance
RHAMT performance depends on a number of factors, including hardware configuration, the number and types of files in the application, the size and number of applications to be evaluated, and whether the application contains source or compiled code. For example, a file that is larger than 10 MB may need a lot of time to process.
In general, RHAMT spends about 40% of the time decompiling classes, 40% of the time executing rules, and the remainder of the time processing other tasks and generating reports. This section describes what you can do to improve the performance of RHAMT.
6.1. Tips to Optimize Performance
6.1.1. Application and Command-line Suggestions
Try these suggestions first before upgrading hardware.
- If possible, execute RHAMT against the source code instead of the archives. This eliminates the need to decompile additional JARs and archives.
-
Specify a comma-separated list of the packages to be evaluated by RHAMT using the
--packagesargument on theRHAMT_HOME/bin/rhamt-clicommand line. If you omit this argument, RHAMT will decompile everything, which has a big impact on performance. -
Specify the
--excludePackagesand--excludeTagsarguments where possible to exclude them from processing. -
Add additional proprietary packages that should not be processed to the
ignore/proprietary.package-ignore.txtfile in the RHAMT distribution directory. RHAMT can still find the references to the packages in the application source code, but avoids the need to decompile and analyze the proprietary classes. - Increase your ulimit when analyzing large applications. See this Red Hat Knowledgebase article for instructions on how to do this for Red Hat Enterprise Linux.
- If you have access to a server that has better resources than your laptop or desktop machine, you may want to consider running RHAMT on that server.
6.1.2. Hardware Upgrade Suggestions
If the application and command-line suggestions above do not improve performance, you may need to upgrade your hardware.
- If you have access to a server that has better resources than your laptop/desktop, then you may want to consider running RHAMT on that server.
- Very large applications that require decompilation have large memory requirements. 8 GB RAM is recommended. This allows 3 - 4 GB RAM for use by the JVM.
- An upgrade from a single or dual-core to a quad-core CPU processor provides better performance.
- Disk space and fragmentation can impact performance. A fast disk, especially a solid-state drive (SSD), with greater than 4 GB of defragmented disk space should improve performance.
'%20d='M201.5%20305.5c-13.8%200-24.9-11.1-24.9-24.6%200-13.8%2011.1-24.9%2024.9-24.9%2013.6%200%2024.6%2011.1%2024.6%2024.9%200%2013.6-11.1%2024.6-24.6%2024.6zM504%20256c0%20137-111%20248-248%20248S8%20393%208%20256%20119%208%20256%208s248%20111%20248%20248zm-132.3-41.2c-9.4%200-17.7%203.9-23.8%2010-22.4-15.5-52.6-25.5-86.1-26.6l17.4-78.3%2055.4%2012.5c0%2013.6%2011.1%2024.6%2024.6%2024.6%2013.8%200%2024.9-11.3%2024.9-24.9s-11.1-24.9-24.9-24.9c-9.7%200-18%205.8-22.1%2013.8l-61.2-13.6c-3-.8-6.1%201.4-6.9%204.4l-19.1%2086.4c-33.2%201.4-63.1%2011.3-85.5%2026.8-6.1-6.4-14.7-10.2-24.1-10.2-34.9%200-46.3%2046.9-14.4%2062.8-1.1%205-1.7%2010.2-1.7%2015.5%200%2052.6%2059.2%2095.2%20132%2095.2%2073.1%200%20132.3-42.6%20132.3-95.2%200-5.3-.6-10.8-1.9-15.8%2031.3-16%2019.8-62.5-14.9-62.5zM302.8%20331c-18.2%2018.2-76.1%2017.9-93.6%200-2.2-2.2-6.1-2.2-8.3%200-2.5%202.5-2.5%206.4%200%208.6%2022.8%2022.8%2087.3%2022.8%20110.2%200%202.5-2.2%202.5-6.1%200-8.6-2.2-2.2-6.1-2.2-8.3%200zm7.7-75c-13.6%200-24.6%2011.1-24.6%2024.9%200%2013.6%2011.1%2024.6%2024.6%2024.6%2013.8%200%2024.9-11.1%2024.9-24.6%200-13.8-11-24.9-24.9-24.9z'/%3e%3c/svg%3e){kind=small}