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https://issues.apache.org/jira/browse/MAPREDUCE-7100?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiang Li updated MAPREDUCE-7100:
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Description:
We are using hadoop 2.7.3 and the computer layer is running out of the storage
cluster (that is, node managers are running on a different set of nodes from
data node). The problem we meet is that the container allocation is quite slow.
After some debugging, we found that in
{{org.apache.hadoop.mapreduce.v2.app.rm}}
was:
We are using hadoop 2.7.3 and the computer layer is running out of the storage
cluster (that is, node managers are running on a different set of nodes from
data node). The problem we meet is that the container allocation is quite slow.
After some debugging, we found that in
bq. org.apache.hadoop.mapreduce.v2.app.rm
> Provide options to skip adding container request for data-local and
> rack-local respectively
> -------------------------------------------------------------------------------------------
>
> Key: MAPREDUCE-7100
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-7100
> Project: Hadoop Map/Reduce
> Issue Type: Improvement
> Components: applicationmaster
> Reporter: Xiang Li
> Priority: Minor
>
> We are using hadoop 2.7.3 and the computer layer is running out of the
> storage cluster (that is, node managers are running on a different set of
> nodes from data node). The problem we meet is that the container allocation
> is quite slow.
> After some debugging, we found that in
> {{org.apache.hadoop.mapreduce.v2.app.rm}}
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