skrho created YARN-3758:
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Summary: The mininum memory
setting(yarn.scheduler.minimum-allocation-mb) is not working in container
Key: YARN-3758
URL: https://issues.apache.org/jira/browse/YARN-3758
Project: Hadoop YARN
Issue Type: Bug
Components: resourcemanager
Affects Versions: 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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