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https://issues.apache.org/jira/browse/HDFS-5276?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13781656#comment-13781656
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Binglin Chang commented on HDFS-5276:
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Reading so many HDFS files in parallel in one process is not a normal case,
maybe we can:
1. try some optimization tricks mentioned in HADOOP-5318
2. statistics is mainly used in MapReduce job report, if spark(or other
framework) don't need it, we can make this feature configurable, and disable it
in many thread case.
> FileSystem.Statistics got performance issue on multi-thread read/write.
> -----------------------------------------------------------------------
>
> Key: HDFS-5276
> URL: https://issues.apache.org/jira/browse/HDFS-5276
> Project: Hadoop HDFS
> Issue Type: Bug
> Affects Versions: 2.0.4-alpha
> Reporter: Chengxiang Li
> Attachments: HDFSStatisticTest.java, hdfs-test.PNG, jstack-trace.PNG
>
>
> FileSystem.Statistics is a singleton variable for each FS scheme, each
> read/write on HDFS would lead to a AutomicLong.getAndAdd(). AutomicLong does
> not perform well in multi-threads(let's say more than 30 threads). so it may
> cause serious performance issue. during our spark test profile, 32 threads
> read data from HDFS, about 70% cpu time is spent on
> FileSystem.Statistics.incrementBytesRead().
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