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Speed-up analysis time with thread pool #1493
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* if property set, print duration of each SquidCheck to `sonar.cxx.squidprofiler.out=<abs path>` * currently only duration is logged * for parallel execution we can log start/stop time also, in order to check the utilization level (see SonarOpenCommunity#1493) * output: semi-JSON format for later python analysis (e.g. in http://jupyter.org/) `{ "visitor": "%s", "source_file": "%s", "duration_ms": "%d" }`
* introduce the hidden property sonar.cxx.squidprofiler.out=<path> * if property set, decorate each AstVisitor (all squid checks, CPD, highlighting etc), so that it tracks the elapsed time per source file * dump this duration as well as other invocation details to <path> in JSON format * currently only duration is logged * for parallel execution we can log start/stop time also, in order to check the CPU utilization level (see SonarOpenCommunity#1493) * output: semi-JSON format for python analysis (e.g. in http://jupyter.org/) `{ "visitor": "%s", "source_file": "%s", "duration_ms": "%d" }`
I would also like to see this feature. Our project spends 95% of its time in the CxxSquidSensor. I can try to work on this if it is still desired. |
Hi @neontty, help is always welcome! Think there are still many things possible to improve speed:
I’m not sure if preprocessing and AST creation can be paralyzed? Maybe you have to look first to https://github.com/SonarSource/sslr if it is possible. Regards |
As an user I like to have shorter cxx-plugin scanner times.
Hint:
At the moment we are using only one thread for analysis. Most of the current analysis time is spend in CxxSquidSensor.execute
Running scanner.scanFiles in a thread pool could speed-up the analysis.
Sample:
https://github.com/SonarSource/sonar-python/pull/106/files
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