Reduce memory bloating in FileMappedDict when reading metrics.#160
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dmagliola merged 1 commit intoprometheus:masterfrom Oct 23, 2019
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Thanks for this!
Something tells me there's a lot more of these gains to be made, so if you find another one, please send it over! :D
Could you please follow the instructions from the "DCO" failed CI step, to signoff your commit?
Once you push that, i'll merge this in.
@Sinjo I think it'd be worth doing another pre-alpha / release candidate version with this upgrade in. I'd love to see whether this impacts the memory pressure in our main service (and also to make sure it's happy in production)
During the read path (metrics export) we open all existing metric files and read through them in order to aggregate metrics across different processes. When reading non-empty files we end up parsing file content twice: first during FileMappedDict initialisation, then again in the caller site (`all_values`). This commit refactors FileMappedDict so that while the `@positions` map is populated at creation time, the actual metric values are read only when explicitly requested. This avoids the memory bloat of unpacking file content twice. Signed-off-by: Cristian Greco <cristian@gocardless.com>
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(This patch is adapted from gocardless#5)
During the read path (metrics export) we open all existing metric files
and read through them in order to aggregate metrics across different
processes. When reading non-empty files we end up parsing file content
twice: first during FileMappedDict initialisation, then again in the
caller site (
all_values).This commit refactors FileMappedDict so that while the
@positionsmapis populated at creation time, the actual metric values are read only
when explicitly requested. This avoids the memory bloat of unpacking
file content twice.
The attached synthetic benchmark simulates two concurrent threads that
write and read from a shared direct_file_store while memory profiling
is enabled. I observed locally a reduction in peak memory usage (best of 3 runs
in each case):