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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2021/07/29 19:54:46 UTC
[GitHub] [beam] dhercher opened a new pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
dhercher opened a new pull request #15246:
URL: https://github.com/apache/beam/pull/15246
This change supplies a config to AvroIO called getReaderThreadCount which allows a user to control the number of reader threads used by the ReadAllViaFileBasedSource avro file reads.
Without the change, any defined groups are removed during ReShuffle and the design can easily cause OOM errors to occur.
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`ValidatesRunner` compliance status (on master branch)
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[GitHub] [beam] dhercher commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
dhercher commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-889446712
R: @pabloem
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892889266
hmmm I think we usually try to avoid giving this kind of knob to users, because it's easy for these parameters to become obsolete, and hardcoded in legacy pipelines.. I'm wondering - do you think there's another way of accomplishing this?
In Dataflow we have GroupIntoBatches.withAutoSharding, which provides a sharding parameter that scales automatically with the number of workers. Perhaps this would help?
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894546554
added a quick fix to the javadoc
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892244961
FYI, the streaming test is failing because of https://issues.apache.org/jira/browse/BEAM-12699
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[GitHub] [beam] dhercher commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
dhercher commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892921897
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[GitHub] [beam] dhercher edited a comment on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
dhercher edited a comment on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-893006636
My issue is that the reshuffle is having the inverse effect, since we force full parallelism at this stage its very easy to cause OOM crash loops when reading many files at once.
At least in the Dataflow runner, it does not appear it knows how to properly scale down the number of threads when this sort of issue occurs to avoid the issue. Removing the reshuffle at least allows for someone to force their desired behavior when they know what they want rather than force a single aggressive strategy.
I suppose the feature flag could control if the reshuffle occurs at all to maintain the current behavior by default and allow the user to manage the parallelism where needed?
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[GitHub] [beam] pabloem merged pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem merged pull request #15246:
URL: https://github.com/apache/beam/pull/15246
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[GitHub] [beam] dhercher commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
dhercher commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-893006636
My issue is that the reshuffle is having the inverse effect, since we force full parallelism at this stage its very easy to cause OOM crash loops when reading many files at once.
At least in the Dataflow runner, it does not appear it knows how to properly scale down the number of threads when this sort of issue occurs to avoid the issue. Removing the reshuffle at least allows for someone to force their desired behavior when they know what they want rather than force a single aggressive strategy.
I suppose the feature flag could control if the reshuffle occurs at all to maintain the current behavior by default and allow the user to manage the parallelism where needed
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[GitHub] [beam] lukecwik commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
lukecwik commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892948242
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[GitHub] [beam] dhercher edited a comment on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
dhercher edited a comment on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-893006636
My issue is that the reshuffle is having the inverse effect, since we force full parallelism at this stage its very easy to cause OOM crash loops when reading many files at once.
At least in the Dataflow runner, it does not appear it knows how to properly scale down the number of threads when this sort of issue occurs to avoid the issue. Removing the reshuffle at least allows for someone to force their desired behavior when they know what they want rather than force a single aggressive strategy.
I suppose the feature flag could control if the reshuffle occurs at all to maintain the current behavior by default and allow the user to manage the parallelism where needed?
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894482795
Run Java PreCommit
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894542528
Run Java PreCommit
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894409565
Run Java PreCommit
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894483242
examples broken on master: https://ci-beam.apache.org/job/beam_PreCommit_Java_Examples_Dataflow_Cron/
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894568808
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894510471
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[GitHub] [beam] lukecwik commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
lukecwik commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892948242
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892889266
hmmm I think we usually try to avoid giving this kind of knob to users, because it's easy for these parameters to become obsolete, and hardcoded in legacy pipelines.. I'm wondering - do you think there's another way of accomplishing this?
In Dataflow we have GroupIntoBatches.withAutoSharding, which provides a sharding parameter that scales automatically with the number of workers. Perhaps this would help?
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[GitHub] [beam] dhercher commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
dhercher commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-892921897
We could remove the ReShuffle entirely? There isn't a clear reason to change whichever setting were set upstream or a reason why the reshuffle adds much value.
More than anything it causes a forced commit if you are reading Pub/Sub and removes a grouping which was set on purpose? It seems like there isn't a strong reason to shuffle here
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[GitHub] [beam] pabloem commented on pull request #15246: [BEAM-12685] Allow managed thread count in AvroIO
Posted by GitBox <gi...@apache.org>.
pabloem commented on pull request #15246:
URL: https://github.com/apache/beam/pull/15246#issuecomment-894542615
the change lgtm. I'll try to get a passing run of precommit to have some confidence, and merge.
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