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Ashwin Shankar updated YARN-2162: --------------------------------- Description: minResources and maxResources in fair scheduler configs are expressed in terms of absolute numbers X mb, Y vcores. As a result, when we expand or shrink our hadoop cluster, we need to recalculate and change minResources/maxResources accordingly, which is pretty inconvenient. We can circumvent this problem if we can optionally configure these properties in terms of percentage of cluster capacity. was: minResources and maxResources in fair scheduler configs are expressed in terms of absolute numbers X mb, Y vcores. As a result, when we expand or shrink our hadoop cluster, we need to recalculate and change minResources/maxResources accordingly, which is pretty inconvenient. We can circumvent this problem if we can (optionally) configure these properties in terms of percentage of cluster capacity. > Fair Scheduler :ability to configure minResources and maxResources in terms > of percentage > ----------------------------------------------------------------------------------------- > > Key: YARN-2162 > URL: https://issues.apache.org/jira/browse/YARN-2162 > Project: Hadoop YARN > Issue Type: Improvement > Components: scheduler > Reporter: Ashwin Shankar > Labels: scheduler > > minResources and maxResources in fair scheduler configs are expressed in > terms of absolute numbers X mb, Y vcores. > As a result, when we expand or shrink our hadoop cluster, we need to > recalculate and change minResources/maxResources accordingly, which is pretty > inconvenient. > We can circumvent this problem if we can optionally configure these > properties in terms of percentage of cluster capacity. -- This message was sent by Atlassian JIRA (v6.2#6252)