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Edward Capriolo commented on HIVE-713: -------------------------------------- True. If we were able to implement JMX we could attach to a mapper/reduce and profile it directly. IE real time how much memory a mapper is using, there are a bunch of standard jmx objects that could be useful. Possibly a logging based approach might be a better way to go. Another technique might be a job completion URL. counters+job completion would be a nice combination. JMX could be a tricky implementation due to the multi-jvm nature of the hadoop. But if the framework is managing counters for us getting them into JMX should be doable. I will review your code more. > Integrate operator counters into query plan to view progress of queries > ----------------------------------------------------------------------- > > Key: HIVE-713 > URL: https://issues.apache.org/jira/browse/HIVE-713 > Project: Hadoop Hive > Issue Type: New Feature > Components: Logging > Reporter: Raghotham Murthy > Assignee: Raghotham Murthy > Attachments: hive-713.1.donot.patch, hive-713.2.donot.patch, > hive-713.2.patch, hive-713.3.patch, hive-713.4.donot.patch, > hive-713.5.donot.patch, hive.713.1.good.patch, hive.713.patch.bad > > > Annotate the QueryPlan - with multiple stages and each stage(Task) can have > an Operator tree - with counters that each Operator/Task updates. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.