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Message-ID: <23689998.22341276180633441.JavaMail.jira@thor>
Date: Thu, 10 Jun 2010 10:37:13 -0400 (EDT)
From: "Torsten Curdt (JIRA)" <jira@apache.org>
To: mapreduce-dev@hadoop.apache.org
Subject: [jira] Created: (MAPREDUCE-1853) MultipleOutputs does not cache
 TaskAttemptContext
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MultipleOutputs does not cache TaskAttemptContext
-------------------------------------------------

                 Key: MAPREDUCE-1853
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1853
             Project: Hadoop Map/Reduce
          Issue Type: Bug
    Affects Versions: 0.21.0
         Environment: OSX 10.6
java6
            Reporter: Torsten Curdt
            Priority: Critical
         Attachments: cache-task-attempts.diff

In MultipleOutputs there is

[code]
 private TaskAttemptContext getContext(String nameOutput) throws IOException {
    // The following trick leverages the instantiation of a record writer via
    // the job thus supporting arbitrary output formats.
    Job job = new Job(context.getConfiguration());
    job.setOutputFormatClass(getNamedOutputFormatClass(context, nameOutput));
    job.setOutputKeyClass(getNamedOutputKeyClass(context, nameOutput));
    job.setOutputValueClass(getNamedOutputValueClass(context, nameOutput));
    TaskAttemptContext taskContext = 
      new TaskAttemptContextImpl(job.getConfiguration(), 
                                 context.getTaskAttemptID());
    return taskContext;
  }
[code]

so for every reduce call it creates a new Job instance ...which creates a new LocalJobRunner.
That does not sound like a good idea.

You end up with a flood of "jvm.JvmMetrics: Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized"

This should probably also be added to 0.22.

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