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https://issues.apache.org/jira/browse/SPARK-7699?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14555837#comment-14555837
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Sandy Ryza commented on SPARK-7699:
-----------------------------------
Sorry for the delay here. The desired behavior is to never have outstanding
requests for more than the number of executors we'd need to satisfy all current
tasks (unless minExecutors is set). I.e. we don't want to ramp down gradually.
So I think the concerns here are valid - this policy means that as soon as the
dynamic allocation thread starts being active, it will cancel any container
requests that were made as a result of initialExecutors. If, however, these
executor requests were actually fulfilled, dynamic allocation wouldn't throw
away the executors.
This means that the relevant questions are: is there a window of time after
we've requested the initial executors but before the dynamic allocation thread
starts? Is there something fundamental about this window of time that means it
will probably still be there after future scheduling optimizations? If not, do
we want to make sure that ExecutorAllocationManager itself doesn't ramp down
below initialExecutors until some criteria (probably time) is satisfied? Or
should we just scrap the property.
> Config "spark.dynamicAllocation.initialExecutors" has no effect
> ----------------------------------------------------------------
>
> Key: SPARK-7699
> URL: https://issues.apache.org/jira/browse/SPARK-7699
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Reporter: meiyoula
>
> spark.dynamicAllocation.minExecutors 2
> spark.dynamicAllocation.initialExecutors 3
> spark.dynamicAllocation.maxExecutors 4
> Just run the spark-shell with above configurations, the initial executor
> number is 2.
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