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~~ -- This message was sent by Atlassian JIRA (v6.3.4#6332)