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Date: Fri, 29 Jan 2016 02:43:39 +0000 (UTC)
From: "Xuan Gong (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
Message-ID: <JIRA.12934981.1454032046000.245284.1454035419810@Atlassian.JIRA>
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 <JIRA.12934981.1454032046323@arcas>
Subject: [jira] [Updated] (MAPREDUCE-6621) Memory Leak in
 JobClient#submitJobInternal()
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     [ https://issues.apache.org/jira/browse/MAPREDUCE-6621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xuan Gong updated MAPREDUCE-6621:
---------------------------------
    Summary: Memory Leak in JobClient#submitJobInternal()  (was: Memory Link in JobClient#submitJobInternal())

> Memory Leak in JobClient#submitJobInternal()
> --------------------------------------------
>
>                 Key: MAPREDUCE-6621
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6621
>             Project: Hadoop Map/Reduce
>          Issue Type: Bug
>            Reporter: Xuan Gong
>            Assignee: Xuan Gong
>         Attachments: MAPREDUCE-6621.1.patch
>
>
> In JobClient:
> {code}
> public RunningJob submitJobInternal(final JobConf conf)
>       throws FileNotFoundException, IOException {
>     try {
>       conf.setBooleanIfUnset("mapred.mapper.new-api", false);
>       conf.setBooleanIfUnset("mapred.reducer.new-api", false);
>       Job job = clientUgi.doAs(new PrivilegedExceptionAction<Job> () {
>         @Override
>         public Job run() throws IOException, ClassNotFoundException, 
>           InterruptedException {
>           Job job = Job.getInstance(conf);
>           job.submit();
>           return job;
>         }
>       });
>       // update our Cluster instance with the one created by Job for submission
>       // (we can't pass our Cluster instance to Job, since Job wraps the config
>       // instance, and the two configs would then diverge)
>       cluster = job.getCluster();
>       return new NetworkedJob(job);
>     } catch (InterruptedException ie) {
>       throw new IOException("interrupted", ie);
>     }
>   }
> {code}
> We will replace the cluster object with the cluster object from Job, but the previous old cluster object would never be closed.



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