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Basic Memory Profiling

This test validates that the Datadog Python profiler correctly profiles memory allocations.

Test Application

  • Creates a list of None of a target size (1e6 items)
  • The list is then filled by two functions allocate_memory_1 and allocate_memory_2 that allocate 1024 bytes and 3 * 1024 bytes respectively. The list is filled until the last item is not None.

Expected Profile

Samples

Those represent the number of times the function called the allocator. This is hard to estimate manually because of how the sampling logic works (see here), but the numbers are stable.

  • ^<module>;run;allocate_memory_1$ should be present and should account for 25% of the samples.
  • ^<module>;run;allocate_memory_2$ should be present and should account for 45% of the samples.
  • ^<module>;__init__;grow_list$ should be present and should account for 20% of the samples.

Space

  • ^<module>;run;allocate_memory_1$ should be present and should account for 25% of the space (1024 bytes)
  • ^<module>;run;allocate_memory_2$ should be present and should account for 75% of the space (3 * 1024 bytes)
  • ^<module>;__init__;grow_list$ should be present and should account for 3% of the space (list container, noise compared to the other allocations)