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From "ASF GitHub Bot (Jira)" <j...@apache.org>
Subject [jira] [Updated] (HADOOP-15124) Slow FileSystem.Statistics counters implementation
Date Sun, 18 Oct 2020 03:52:00 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-15124?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

ASF GitHub Bot updated HADOOP-15124:
------------------------------------
    Labels: common filesystem fs pull-request-available statistics  (was: common filesystem
fs statistics)

> 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, 3.1.0
>            Reporter: Igor Dvorzhak
>            Assignee: Igor Dvorzhak
>            Priority: Major
>              Labels: common, filesystem, fs, pull-request-available, statistics
>         Attachments: HADOOP-15124-branch-3.2.001.patch, HADOOP-15124.001.patch
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> 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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