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Commit c0268e8d authored by Joseph Schuchart's avatar Joseph Schuchart Committed by Arnaldo Carvalho de Melo
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perf script python: Fix mem leak due to missing Py_DECREFs on dict entries

We are using the Python scripting interface in perf to extract kernel
events relevant for performance analysis of HPC codes. We noticed that
the "perf script" call allocates a significant amount of memory (in the
order of several 100 MiB) during it's run, e.g. 125 MiB for a 25 MiB
input file:

  $> perf record -o perf.data -a -R -g fp \
       -e power:cpu_frequency -e sched:sched_switch \
       -e sched:sched_migrate_task -e sched:sched_process_exit \
       -e sched:sched_process_fork -e sched:sched_process_exec \
       -e cycles  -m 4096 --freq 4000
  $> /usr/bin/time perf script -i perf.data -s dummy_script.py
  0.84user 0.13system 0:01.92elapsed 51%CPU (0avgtext+0avgdata
  125532maxresident)k
  73072inputs+0outputs (57major+33086minor)pagefaults 0swaps

Upon further investigation using the valgrind massif tool, we noticed
that Python objects that are created in trace-event-python.c via
PyString_FromString*() (and their Integer and Long counterparts) are
never free'd.

The reason for this seem to be missing Py_DECREF calls on the objects
that are returned by these functions and stored in the Python
dictionaries. The Python dictionaries do not steal references (as
opposed to Python tuples and lists) but instead add their own reference.

Hence, the reference that is returned by these object creation functions
is never released and the memory is leaked. (see [1,2])

The attached patch fixes this by wrapping all relevant calls to
PyDict_SetItemString() and decrementing the reference counter
immediately after the Python function call.

This reduces the allocated memory to a reasonable amount:

  $> /usr/bin/time perf script -i perf.data -s dummy_script.py
  0.73user 0.05system 0:00.79elapsed 99%CPU (0avgtext+0avgdata
  49132maxresident)k
  0inputs+0outputs (0major+14045minor)pagefaults 0swaps

For comparison, with a 120 MiB input file the memory consumption
reported by time drops from almost 600 MiB to 146 MiB.

The patch has been tested using Linux 3.8.2 with Python 2.7.4 and Linux
3.11.6 with Python 2.7.5.

Please let me know if you need any further information.

[1] http://docs.python.org/2/c-api/tuple.html#PyTuple_SetItem
[2] http://docs.python.org/2/c-api/dict.html#PyDict_SetItemString



Signed-off-by: default avatarJoseph Schuchart <joseph.schuchart@tu-dresden.de>
Reviewed-by: default avatarTom Zanussi <tom.zanussi@linux.intel.com>
Cc: Paul Mackerras <paulus@samba.org>
Cc: Peter Zijlstra <a.p.zijlstra@chello.nl>
Cc: Tom Zanussi <tom.zanussi@linux.intel.com>
Link: http://lkml.kernel.org/r/1381468543-25334-4-git-send-email-namhyung@kernel.org


Signed-off-by: default avatarArnaldo Carvalho de Melo <acme@redhat.com>
parent e4f8eaad
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