[ https://issues.apache.org/jira/browse/YARN-10590?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Szilard Nemeth updated YARN-10590: ---------------------------------- Summary: Fix TestCapacitySchedulerAutoCreatedQueueBase with related absolute calculation loss (was: Fix TestCapacitySchedulerAutoCreatedQueueBase witch related absolute caculation loss.) > Fix TestCapacitySchedulerAutoCreatedQueueBase with related absolute > calculation loss > ------------------------------------------------------------------------------------ > > Key: YARN-10590 > URL: https://issues.apache.org/jira/browse/YARN-10590 > Project: Hadoop YARN > Issue Type: Sub-task > Reporter: Qi Zhu > Assignee: Qi Zhu > Priority: Major > Attachments: YARN-10590.001.patch, YARN-10590.002.patch > > > "Because as we discussed in YARN-10504 , the initialization of auto created > queues from template was changed (see comment and comment)." > 1. As the comment we discussed, we found the effective core is different(the > gap), because the update effective will override the absolute auto created > leaf queue. > 2. But actually, the new logic in YARN-10504 override is right, the > difference is caused by test case , don't consider the caculation loss of > multi resource type, the cap/absolute are all caculated by one type, (memory) > in default resourcecaculator, (dominant type) in dominant resourcecaculator. > As we known in the comment, the absolute auto created leaf queue will merge > the effective resource by cap/absolute caculated result, this caused the gap. > 2. In other case(not absolute case) in the auto created leaf queue, the merge > will not cause the gap, in update effective resource override will also use > the one type caculated result. > 3. So this jira just make the test right, the caculation result is already > right. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org