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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/06/04 16:29:43 UTC
[GitHub] [beam] damccorm opened a new issue, #20298: Improve memory profiling for users of Portable Beam Python
damccorm opened a new issue, #20298:
URL: https://github.com/apache/beam/issues/20298
We have a Profiler[1] that is integrated with SDK worker[1a], however it only saves CPU metrics [1b].
We have a MemoryReporter util[2] which can log heap dumps, however it is not documented on Beam Website and does not respect the \--profile_memory and \--profile_location options[3]. The profile_memory flag currently works only for Dataflow Runner users who run non-portable batch pipelines; profiles are saved only if memory usage between samples exceeds 1000M.
We should improve memory profiling experience for Portable Python users and consider making a guide on how users can investigate OOMing pipelines on Beam website.
[1] https://github.com/apache/beam/blob/095589c28f5c427bf99fc0330af91c859bb2ad6b/sdks/python/apache_beam/utils/profiler.py#L46
[1a] https://github.com/apache/beam/blob/095589c28f5c427bf99fc0330af91c859bb2ad6b/sdks/python/apache_beam/runners/worker/sdk_worker_main.py#L157
[1b] https://github.com/apache/beam/blob/095589c28f5c427bf99fc0330af91c859bb2ad6b/sdks/python/apache_beam/utils/profiler.py#L112
[2] https://github.com/apache/beam/blob/095589c28f5c427bf99fc0330af91c859bb2ad6b/sdks/python/apache_beam/utils/profiler.py#L124
[3] https://github.com/apache/beam/blob/095589c28f5c427bf99fc0330af91c859bb2ad6b/sdks/python/apache_beam/options/pipeline_options.py#L846
Imported from Jira [BEAM-10200](https://issues.apache.org/jira/browse/BEAM-10200). Original Jira may contain additional context.
Reported by: tvalentyn.
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[GitHub] [beam] damccorm commented on issue #20298: Improve memory profiling for users of Portable Beam Python
Posted by "damccorm (via GitHub)" <gi...@apache.org>.
damccorm commented on issue #20298:
URL: https://github.com/apache/beam/issues/20298#issuecomment-1547888993
Hey @blazingbhavneek I would recommend looking at issues with the `good first issue` tag (like this one) and trying to solve them (and asking questions if you have specific questions about the issue. You can also find our contribution guide here - https://beam.apache.org/contribute/
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[GitHub] [beam] blazingbhavneek commented on issue #20298: Improve memory profiling for users of Portable Beam Python
Posted by "blazingbhavneek (via GitHub)" <gi...@apache.org>.
blazingbhavneek commented on issue #20298:
URL: https://github.com/apache/beam/issues/20298#issuecomment-1547927270
Hi @damccorm ! (Apologies for the apparent spamming, I feel motivated when I KNOW I have a lot on my plate, otherwise I spend a lot of time just looking what to do and then eventually start wasting time on internet) I will start looking into the codebase and update you with specific questions, thank you!
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[GitHub] [beam] RhysJohnLewis commented on issue #20298: Improve memory profiling for users of Portable Beam Python
Posted by "RhysJohnLewis (via GitHub)" <gi...@apache.org>.
RhysJohnLewis commented on issue #20298:
URL: https://github.com/apache/beam/issues/20298#issuecomment-1618876430
.take-issue
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[GitHub] [beam] blazingbhavneek commented on issue #20298: Improve memory profiling for users of Portable Beam Python
Posted by "blazingbhavneek (via GitHub)" <gi...@apache.org>.
blazingbhavneek commented on issue #20298:
URL: https://github.com/apache/beam/issues/20298#issuecomment-1546163296
Hey there! 👋 I'm new to this repository and eager to contribute! 🌟 Could you kindly suggest some entry point or files to look into?
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