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Date: Tue, 2 Jun 2015 07:46:21 +0000 (UTC)
From: "skrho (JIRA)" <jira@apache.org>
To: yarn-dev@hadoop.apache.org
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Subject: [jira] [Created] (YARN-3757) The mininum memory
 setting(yarn.scheduler.minimum-allocation-mb) is not working in container
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skrho created YARN-3757:
---------------------------

             Summary: The mininum memory setting(yarn.scheduler.minimum-allocation-mb) is not working in container
                 Key: YARN-3757
                 URL: https://issues.apache.org/jira/browse/YARN-3757
             Project: Hadoop YARN
          Issue Type: Bug
          Components: resourcemanager
    Affects Versions: 2.4.0
         Environment: Hadoop 2.4.0
            Reporter: skrho


Hello there~~

I have 2 clusters

First cluster is 5 node , default 1 application queue, 8G Physical memory each node
Second cluster is 10 node, 2 application queuey, 230G Physical memory each node

Wherever a mapreduce job is running, I want resourcemanager is to set the minimum memory  256m to container

So I was changing configuration in yarn-site.xml

yarn.scheduler.minimum-allocation-mb : 256
mapreduce.map.java.opts : -Xms256m 
mapreduce.reduce.java.opts : -Xms256m 
mapreduce.map.memory.mb : 256 
mapreduce.reduce.memory.mb : 256 

In First cluster  whenever a mapreduce job is running , I can see used memory 256m in web console( http://installedIP:8088/cluster/nodes )
But In Second cluster whenever a mapreduce job is running , I can see used memory 1024m in web console( http://installedIP:8088/cluster/nodes ) 

I know default memory value is 1024m, so if there is not changing memory setting, the default value is working.

I have been testing for two weeks, but I don't know why mimimum memory setting is not working in second cluster

Why this difference is happened? 

Am I wrong setting configuration?
or Is there bug?

Thank you for reading~~


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