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From "Namit Jain (JIRA)" <j...@apache.org>
Subject [jira] Resolved: (HIVE-1520) hive.mapred.local.mem should only be used in case of local mode job submissions
Date Fri, 08 Oct 2010 04:44:30 GMT

     [ https://issues.apache.org/jira/browse/HIVE-1520?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Namit Jain resolved HIVE-1520.
------------------------------

       Resolution: Fixed
    Fix Version/s: 0.7.0
     Hadoop Flags: [Reviewed]

Committed. Thanks Joy

> hive.mapred.local.mem should only be used in case of local mode job submissions
> -------------------------------------------------------------------------------
>
>                 Key: HIVE-1520
>                 URL: https://issues.apache.org/jira/browse/HIVE-1520
>             Project: Hadoop Hive
>          Issue Type: Bug
>            Reporter: Joydeep Sen Sarma
>             Fix For: 0.7.0
>
>         Attachments: 1520.1.patch
>
>
> Currently - whenever we submit a map-reduce job via a child jvm process, hive sets HADOOP_HEAPSIZE
to hive.mapred.local.mem (thereby limiting the max heap memory of the child jvm). the assumption
being that we are submitting a job for local mode execution and different memory limits apply
for that.
> however - one can submit jobs via a child jvm for non local mode execution as well. This
is useful, for example, if hive wants to submit jobs via different hadoop clients (for sending
jobs to different hadoop clusters). in such case, we can use the 'hive.exec.submitviachild'
and 'hadoop.bin.path' to dispatch job via an alternate hadoop client install point. however
in such case, we don't need to set HADOOP_HEAPSIZE. all we are using the child jvm is to run
the small bit of hive code that submits the job (and not for local mode execution).
> in this case - we shouldn't be setting the child jvm's memory limit and should leave
it to what the parent's value is.

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