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https://issues.apache.org/jira/browse/SPARK-22008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-22008.
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Resolution: Not A Problem
I don't think this is a problem, given the description and PR.
> Spark Streaming Dynamic Allocation auto fix maxNumExecutors
> -----------------------------------------------------------
>
> Key: SPARK-22008
> URL: https://issues.apache.org/jira/browse/SPARK-22008
> Project: Spark
> Issue Type: Improvement
> Components: DStreams
> Affects Versions: 2.2.0
> Reporter: Yue Ma
> Priority: Minor
>
> In SparkStreaming DRA .The metric we use to add or remove executor is the
> ratio of batch processing time / batch duration (R). And we use the parameter
> "spark.streaming.dynamicAllocation.maxExecutors" to set the max Num of
> executor .Currently it doesn't work well with Spark streaming because of
> several reasons:
> (1) For example if the max nums of executor we need is 10 and we set
> "spark.streaming.dynamicAllocation.maxExecutors" to 15,Obviously ，We wasted 5
> executors.
> (2) If the number of topic partition changes ，then the partition of KafkaRDD
> or the num of tasks in a stage changes too.And the max executor we need will
> also change,so the num of maxExecutors should change with the nums of Task .
> The goal of this JIRA is to auto fix maxNumExecutors . Using a SparkListerner
> when Stage Submitted ,first figure out the num executor we need , then
> update the maxNumExecutor
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