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https://issues.apache.org/jira/browse/HADOOP-15124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16409200#comment-16409200
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Siddharth Seth commented on HADOOP-15124:
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Adding to [~ste...@apache.org]'s comment earlier about downstream projects
relying on per thread statistics - Hive-LLAP does rely on this since it can end
up executing different queries in the same process. It tracks per query
statistics by pulling from thread statistics -
[https://github.com/apache/hive/blob/master/llap-server/src/java/org/apache/hadoop/hive/llap/daemon/impl/StatsRecordingThreadPool.java]
. cc [~prasanth_j] - the perf improvement here may interest you.
> Slow FileSystem.Statistics counters implementation
> --------------------------------------------------
>
> Key: HADOOP-15124
> URL: https://issues.apache.org/jira/browse/HADOOP-15124
> Project: Hadoop Common
> Issue Type: Sub-task
> Components: common
> Affects Versions: 2.9.0, 2.8.3, 2.7.5, 3.0.0
> Reporter: Igor Dvorzhak
> Assignee: Igor Dvorzhak
> Priority: Major
> Labels: common, filesystem, statistics
> Attachments: HADOOP-15124.001.patch
>
>
> While profiling 1TB TeraGen job on Hadoop 2.8.2 cluster (Google Dataproc, 2
> workers, GCS connector) I saw that FileSystem.Statistics code paths Wall time
> is 5.58% and CPU time is 26.5% of total execution time.
> After switching FileSystem.Statistics implementation to LongAdder, consumed
> Wall time decreased to 0.006% and CPU time to 0.104% of total execution time.
> Total job runtime decreased from 66 mins to 61 mins.
> These results are not conclusive, because I didn't benchmark multiple times
> to average results, but regardless of performance gains switching to
> LongAdder simplifies code and reduces its complexity.
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