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https://issues.apache.org/jira/browse/HADOOP-492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12473552
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Runping Qi commented on HADOOP-492:
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As a user, I normally am interested only in the final accumulated values of my
counters, and don't need/want to know them as the job runs.
I think each task can do local aggregations for the counters. If I need to
display during it, I can explicitly get the values and call
Reporter.setStatus() method (or LOG) for that purpose. That way, I can control
the frequence of the refreshment.
> Global counters
> ---------------
>
> Key: HADOOP-492
> URL: https://issues.apache.org/jira/browse/HADOOP-492
> Project: Hadoop
> Issue Type: New Feature
> Components: mapred
> Reporter: arkady borkovsky
> Assigned To: David Bowen
>
> It would be nice to have map / reduce job keep aggregated counts for
> arbitrary events occuring in its tasks -- the numer of records processed, the
> numer of exceptions of a specific type, the number of sentences in passive
> voice, whatever the jobs finds useful.
> This can be implemented by tasks periodically sending <name, value> pairs to
> the jobtracker (in some implementations such messages are piggy-backed on the
> heartbeats), so that the job tracker stores all the latests values from each
> task and aggregates them on a request. It should also make the aggregated
> values available at the job end. The value for a task would be flushed when
> the task fails.
> #491 and #490 may be related to this one.
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