Python support for the perf map compatible profilers — How to work without frame pointers
If you are working with a Python interpreter that has been compiled without frame pointers, you can still use the perf profiler, but the overhead will be a bit higher because Python needs to generate unwinding information for every Python function call on the fly.
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If you are working with a Python interpreter that has been compiled without frame pointers, you can still use the perf profiler, but the overhead will be a bit higher because Python needs to generate unwinding information for every Python function call on the fly. Additionally, perf will take more time to process the data because it will need to use the DWARF debugging information to unwind the stack and this is a slow process.
To enable this mode, you can use the environment variable PYTHON_PERF_JIT_SUPPORT or the -X perf_jit option, which will enable the JIT mode for the perf profiler.
When using the perf JIT mode, you need an extra step before you can run perf report. You need to call the perf inject command to inject the JIT information into the perf.data file.
or using the environment variable
perf inject --jit command will read perf.data, automatically pick up the perf dump fil
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Python Documentation — Doc/howto/perf_profiling.rst :: How to work without frame pointers ↗Revision 948fd7e5c084 · PSF-2.0