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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-8703) [WINDOWS] Timed-out processes exit with non-zero code causing HealthChecker to report incorrectly
Date Tue, 02 Jul 2013 19:13:21 GMT

    [ https://issues.apache.org/jira/browse/HBASE-8703?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13698111#comment-13698111
] 

Hudson commented on HBASE-8703:
-------------------------------

Integrated in HBase-TRUNK #4207 (See [https://builds.apache.org/job/HBase-TRUNK/4207/])
    HBASE-8703 [WINDOWS] Timed-out processes exit with non-zero code causing HealthChecker
to report incorrectly. ADDENDUM patch to fix flaky test (Revision 1499047)

     Result = FAILURE
enis : 
Files : 
* /hbase/trunk/hbase-server/src/test/java/org/apache/hadoop/hbase/TestNodeHealthCheckChore.java

                
> [WINDOWS] Timed-out processes exit with non-zero code causing HealthChecker to report
incorrectly
> -------------------------------------------------------------------------------------------------
>
>                 Key: HBASE-8703
>                 URL: https://issues.apache.org/jira/browse/HBASE-8703
>             Project: HBase
>          Issue Type: Sub-task
>            Reporter: Enis Soztutar
>            Assignee: Enis Soztutar
>             Fix For: 0.98.0, 0.95.2
>
>         Attachments: hbase-8703-0.94.patch, hbase-8703_v1-addendum.patch, hbase-8703_v1.patch
>
>
> Hadoop ShellCommandExecutor on timeout, destroys the process, and later checks the exit
code. On windows, if process is destroyed, the exit code is non-zero, so ShellCommandExecutor.execute()
throws ExitCodeException rather than generic IOException. However, in HealthChecker, on catching
ExitCodeException we do not check the timeout. 
> It is unfortunate that Hadoop does not throw an TimeoutException, but provides .isTimedOut()
api. And it seems that on timeout on linux, the throwing of the IOException is coincidental:
> {code}
> 2013-06-06 14:17:47,930 WARN  [main] hbase.HealthChecker(79): Caught exception : java.io.IOException:
Stream closed
> {code}
> It may not be worth fixing Hadoop for this, but we have to do the correct check anyway.


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