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https://issues.apache.org/jira/browse/SPARK-24006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-24006.
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Resolution: Won't Fix
I am resolving this assuming there's no more update on actual numbers. Please
reopen later when it is found there's actual gain from this.
> ExecutorAllocationManager.onExecutorAdded is an O(n) operation
> --------------------------------------------------------------
>
> Key: SPARK-24006
> URL: https://issues.apache.org/jira/browse/SPARK-24006
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.3.0
> Reporter: Xianjin YE
> Priority: Major
>
> The ExecutorAllocationManager.onExecutorAdded is an O(n) operations, I
> believe it will be a problem when scaling out with large number of Executors
> as it effectively makes adding N executors at time complexity O(N^2).
>
> I propose to invoke onExecutorIdle guarded by
> {code:java}
> if (executorIds.size - executorsPendingToRemove.size >= minNumExecutors +1) {
> // Since we only need to re-remark idle executors when low bound
> executorIds.filter(listener.isExecutorIdle).foreach(onExecutorIdle)
> } else {
> onExecutorIdle(executorId)
> }{code}
> cc [~zsxwing]
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