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https://issues.apache.org/jira/browse/HADOOP-19052?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17819986#comment-17819986
]
ASF GitHub Bot commented on HADOOP-19052:
-----------------------------------------
hadoop-yetus commented on PR #6527:
URL: https://github.com/apache/hadoop/pull/6527#issuecomment-1960975979
:broken_heart: **-1 overall**
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| +1 :green_heart: | @author | 0m 0s | | The patch does not contain
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| +1 :green_heart: | test4tests | 0m 0s | | The patch appears to
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| -1 :x: | mvninstall | 0m 23s |
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| hadoop-common in trunk failed. |
| +1 :green_heart: | shadedclient | 2m 32s | | branch has no errors
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| -1 :x: | mvninstall | 0m 23s |
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| -1 :x: | compile | 0m 22s |
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| root in the patch failed with JDK
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| -1 :x: | compile | 0m 22s |
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| -1 :x: | javac | 0m 22s |
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| root in the patch failed with JDK Private
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| +1 :green_heart: | blanks | 0m 0s | | The patch has no blanks
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| -0 :warning: | checkstyle | 0m 20s |
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| -1 :x: | spotbugs | 0m 22s |
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| +1 :green_heart: | shadedclient | 4m 14s | | patch has no errors
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| -1 :x: | unit | 0m 22s |
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| +0 :ok: | asflicense | 0m 22s | | ASF License check generated no
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| | | 12m 45s | | |
| Subsystem | Report/Notes |
|----------:|:-------------|
| Docker | ClientAPI=1.44 ServerAPI=1.44 base:
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6527/2/artifact/out/Dockerfile
|
| GITHUB PR | https://github.com/apache/hadoop/pull/6527 |
| Optional Tests | dupname asflicense compile javac javadoc mvninstall
mvnsite unit shadedclient spotbugs checkstyle codespell detsecrets |
| uname | Linux e2238e84e519 5.15.0-94-generic #104-Ubuntu SMP Tue Jan 9
15:25:40 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | dev-support/bin/hadoop.sh |
| git revision | trunk / fc72fe8e72b7a87c05b02e0ff8b5009bddd44a71 |
| Default Java | Private Build-1.8.0_392-8u392-ga-1~20.04-b08 |
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| Test Results |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6527/2/testReport/ |
| Max. process+thread count | 9 (vs. ulimit of 5500) |
| modules | C: hadoop-common-project/hadoop-common U:
hadoop-common-project/hadoop-common |
| Console output |
https://ci-hadoop.apache.org/job/hadoop-multibranch/job/PR-6527/2/console |
| versions | git=2.25.1 maven=3.6.3 |
| Powered by | Apache Yetus 0.14.0 https://yetus.apache.org |
This message was automatically generated.
> Hadoop use Shell command to get the count of the hard link which takes a lot
> of time
> ------------------------------------------------------------------------------------
>
> Key: HADOOP-19052
> URL: https://issues.apache.org/jira/browse/HADOOP-19052
> Project: Hadoop Common
> Issue Type: Improvement
> Environment: Hadopp 3.3.4
> Reporter: liang yu
> Priority: Major
> Labels: pull-request-available
> Attachments: debuglog.png
>
>
> Using Hadoop 3.3.4
>
> When the QPS of `append` executions is very high, at a rate of above 10000/s.
>
> We found that the write speed in hadoop is very slow. We traced some
> datanodes' log and find that there is a warning :
> {code:java}
> 2024-01-26 11:09:44,292 WARN impl.FsDatasetImpl
> (InstrumentedLock.java:logwaitWarning(165)) Waited above threshold(300 ms) to
> acquire lock: lock identifier: FsDatasetRwlock waitTimeMs=336 ms.Suppressed 0
> lock wait warnings.Longest supressed waitTimeMs=0.The stack trace is
> java.lang.Thread,getStackTrace(Thread.java:1559)
> org.apache.hadoop.util.StringUtils.getStackTrace(StringUtils.java:1060)
> org.apache.hadoop.util.Instrumentedlock.logWaitWarning(InstrumentedLock.java:171)
> org.apache.hadoop.util.InstrumentedLock.check(InstrumentedLock.java:222)
> org.apache.hadoop.util.InstrumentedLock.lock(InstrumentedLock, iaya:105)
> org.apache.hadoop.util.AutocloseableLock.acquire(AutocloseableLock.java:67)
> org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl.append(FsDatasetImpl.java:1239)
> org.apache.hadoop.hdfs.server.datanode.BlockReceiver.<init>(BlockReceiver.java:230)
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.getBlockReceiver
> (DataXceiver.java:1313)
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock
> (DataXceiver.java:764)
> org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:176)
> org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:110)
> org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:293)
> java.lang.Thread.run(Thread.java:748)
> {code}
>
> Then we traced the method
> _org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl.append(FsDatasetImpl.
> java:1239),_ and print how long each command take to finish the execution,
> and find that it takes us 700ms to get the linkCount of the file which is
> really slow.
> !debuglog.png!
>
> We traced the code and find that java1.8 use a Shell Command to get the
> linkCount, in which execution it will start a new Process and wait for the
> Process to fork, when the QPS is very high, it will sometimes take a long
> time to fork the process.
> Here is the shell command.
> {code:java}
> stat -c%h /path/to/file
> {code}
>
> Solution:
> For the FileStore that supports the file attributes "unix", we can use the
> method _Files.getAttribute(f.toPath(), "unix:nlink")_ to get the linkCount,
> this method doesn't need to start a new process, and will return the result
> in a very short time.
>
> When we use this method to get the file linkCount, we rarely get the WARN log
> above when the QPS of append execution is high.
> .
>
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