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https://issues.apache.org/jira/browse/BEAM-9167?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Burke resolved BEAM-9167.
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Fix Version/s: Not applicable
Resolution: Fixed
SDK side performance of user metrics is now reduced significantly if the proxy
object is used. There's other metrics related work (eg. framework metrics
around PCollections and ParDos, programmatic extraction, using the updated
Monitoring infos), but they are tracked by other JIRAs.
> Reduce overhead of Go SDK side metrics
> --------------------------------------
>
> Key: BEAM-9167
> URL: https://issues.apache.org/jira/browse/BEAM-9167
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-go
> Reporter: Robert Burke
> Assignee: Robert Burke
> Priority: Major
> Fix For: Not applicable
>
> Time Spent: 3h 20m
> Remaining Estimate: 0h
>
> Locking overhead due to the global store and local caches of SDK counter data
> can dominate certain workloads, which means we can do better.
> Instead of having a global store of metrics data to extract counters, we
> should use per ptransform (or per bundle) counter sets, which would avoid
> requiring locking per counter operation. The main detriment compared to the
> current implementation is that a user would need to add their own locking if
> they were to spawn multiple goroutines to process a Bundle's work in a DoFn.
> Given that self multithreaded DoFns aren't recommended/safe in Java, largely
> impossible in Python, and the other beam Go SDK provided constructs (like
> Iterators and Emitters) are not thread safe, this is a small concern,
> provided the documentation is clear on this.
> Removing the locking and switching to atomic ops reduces the overhead
> significantly in example jobs and in the benchmarks.
> A second part of this change should be to move the exec package to manage
> it's own per bundle state, rather than relying on a global datastore to
> extract the per bundle,per ptransform values.
> Related: https://issues.apache.org/jira/browse/BEAM-6541
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