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From ch huang <justlo...@gmail.com>
Subject Re: issue about capacity scheduler
Date Thu, 05 Dec 2013 01:23:01 GMT
another question is ,i set the yarn.scheduler.minimum-allocation-mb is
2GB,so the container size will at less 2GB ,but i see appMaster container
only use 1GB heap size why?

# ps -ef|grep 8062
yarn      8062  8047  5 09:04 ?        00:00:09
/usr/java/jdk1.7.0_25/bin/java
-Dlog4j.configuration=container-log4j.properties
-Dyarn.app.mapreduce.container.log.dir=/data/mrlocal/1/yarn/logs/application_1386139114497_0024/container_1386139114497_0024_01_000001
-Dyarn.app.mapreduce.container.log.filesize=0 -Dhadoop.root.logger=INFO,CLA
-Xmx1024m org.apache.hadoop.mapreduce.v2.app.MRAppMaster


On Thu, Dec 5, 2013 at 5:04 AM, Jian He <jhe@hortonworks.com> wrote:

> you can probably try increasing
> "yarn.scheduler.capacity.maximum-am-resource-percent",
> This controls the max concurrently running AMs.
>
> Thanks,
> Jian
>
>
> On Wed, Dec 4, 2013 at 1:33 AM, ch huang <justlooks@gmail.com> wrote:
>
>> hi,maillist :
>>                  i use yarn framework and capacity scheduler  ,and i have
>> two queue ,one for hive and the other for big MR job
>> in hive  queue it's work fine,because hive task is very faster ,but what
>> i think is user A submitted two big MR job ,so first big job eat
>> all the resource belongs to the queue ,the other big MR job should wait
>> until first job finished ,how can i let the same user 's MR job can run
>> parallel?
>>
>
>
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