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Date: Wed, 2 Jul 2014 00:15:25 +0000 (UTC)
From: "Maysam Yabandeh (JIRA)" <jira@apache.org>
To: mapreduce-issues@hadoop.apache.org
Message-ID: <JIRA.12724846.1404260051969.84381.1404260125906@arcas>
In-Reply-To: <JIRA.12724846.1404260051969@arcas>
References: <JIRA.12724846.1404260051969@arcas>
Subject: [jira] [Created] (MAPREDUCE-5954) Optional exclusion of counters
 from getTaskReports
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Maysam Yabandeh created MAPREDUCE-5954:
------------------------------------------

             Summary: Optional exclusion of counters from getTaskReports
                 Key: MAPREDUCE-5954
                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-5954
             Project: Hadoop Map/Reduce
          Issue Type: Improvement
            Reporter: Maysam Yabandeh
            Assignee: Maysam Yabandeh


MRClientService.getTaskReport returns the set of map or reduce tasks along with their counters, which are quite large. For big jobs, the response could be as large as 0.5 GB. This has a negative impact both on MRAppMaster and the monitoring tool that invokes getTaskReports. This problem has led Pig users to entirely disable getTaskReports for big jobs:
https://issues.apache.org/jira/browse/PIG-4043

Many monitoring tools, including ours, do not need the task counters when invoking getTaskReports. Pig also does not make any use of task counters. Here are the usages of Tasks in pig:
{code}
    protected void getErrorMessages(TaskReport reports[], String type,
            String msgs[] = reports[i].getDiagnostics();
                if (HadoopShims.isJobFailed(reports[i])) {
{code}
and
{code}
    protected long computeTimeSpent(TaskReport[] taskReports) {
        long timeSpent = 0;
        for (TaskReport r : taskReports) {
            timeSpent += (r.getFinishTime() - r.getStartTime());
        }
        return timeSpent;
    }
{code}

GetTaskReportsRequest can be augmented with an optional boolean with which the monitoring tool can request excluding the counters form the response. This minor change is very simple and yet makes many existing monitoring tools more efficient.


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