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https://issues.apache.org/jira/browse/HIVE-12951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15120795#comment-15120795
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Rui Li commented on HIVE-12951:
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Generally speaking, I think we have a better chance to get more reducers with
expected resources, because RM won't allocate more resources than requested,
right? But #reducers is not determined by #executors alone, and like you said
we will need to handle dynamic allocations differently. So I agree we can
decide this later when there's concrete need for it.
> Reduce Spark executor prewarm timeout to 5s
> -------------------------------------------
>
> Key: HIVE-12951
> URL: https://issues.apache.org/jira/browse/HIVE-12951
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Affects Versions: 1.2.0
> Reporter: Xuefu Zhang
> Assignee: Xuefu Zhang
> Attachments: HIVE-12951.patch
>
>
> Currently it's set to 30s, which tends to be longer than needed. Reduce it to
> 5s, only considering jvm startup time. (Eventually, we may want to make this
> configurable.)
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