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Posted to issues@flink.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2024/07/02 17:01:00 UTC
[jira] [Updated] (FLINK-35704) ForkJoinPool introduction to NonSplittingRecursiveEnumerator to vastly improve enumeration performance
[ https://issues.apache.org/jira/browse/FLINK-35704?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated FLINK-35704:
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Labels: pull-request-available (was: )
> ForkJoinPool introduction to NonSplittingRecursiveEnumerator to vastly improve enumeration performance
> ------------------------------------------------------------------------------------------------------
>
> Key: FLINK-35704
> URL: https://issues.apache.org/jira/browse/FLINK-35704
> Project: Flink
> Issue Type: Improvement
> Components: Connectors / FileSystem
> Reporter: Grzegorz Liter
> Priority: Minor
> Labels: pull-request-available
> Attachments: ParallelNonSplittingRecursiveEnumerator.java
>
>
> In current implementation of NonSplittingRecursiveEnumerator the files and directories are enumerated in sequence. In case of accessing a remote storage like S3 the vast amount of time is wasted waiting for a response.
> What is worse the enumeration is done by JM it self during which it is unresponsive for RPC calls. When accessing multiple (thousands+) files the wait time can quickly add up and can cause a pekko timeout.
> The performance can be improved by enumerating files in parallel with e.g. ForkJoinPool and parallel streams. I am attaching example implementation that I am happy to contribute to Flink repository.
> In my tests it cuts the time at least 10x
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