[jira] [Updated] (MAPREDUCE-6551) Dynamic adjust mapTaskAttempt memory size

["Lin Yiqun (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAPREDUCE-6551?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Lin Yiqun updated MAPREDUCE-6551:
---------------------------------
    Attachment: MAPREDUCE-6551.001.patch

> Dynamic adjust mapTaskAttempt memory size
> -----------------------------------------
>
>                 Key: MAPREDUCE-6551
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-6551
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>          Components: task
>    Affects Versions: 2.7.1
>            Reporter: Lin Yiqun
>            Assignee: Lin Yiqun
>         Attachments: MAPREDUCE-6551.001.patch
>
>
> I found a scenario that the map tasks cost so much resource of cluster.This scenario will be happened that if there are many small file blokcs (even some are not reach 1M),and this will lead to many map task to read.And in gengeral,a map task attempt will use the default config {{MRJobConfig#MAP_MEMORY_MB}} to set its resourceCapcity's memory to deal with their datas.And this will cause a problem that map tasks cost so much memory resource and target data is small.So I have a idea that wherther we can dynamic set mapTaskAttempt memory size by its inputDataLength.And this value can be provided by {{TaskSplitMetaInfo#getInputDataLength}} methods.Besides that,we should provided a standard unit dataLength for a standard memory size.



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