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https://issues.apache.org/jira/browse/SPARK-24874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16556241#comment-16556241
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Reynold Xin commented on SPARK-24874:
-------------------------------------
Do we really need this? Seems like an uncommon use case.
> Allow hybrid of both barrier tasks and regular tasks in a stage
> ---------------------------------------------------------------
>
> Key: SPARK-24874
> URL: https://issues.apache.org/jira/browse/SPARK-24874
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Jiang Xingbo
> Priority: Major
>
> Currently we only allow barrier tasks in a barrier stage, however, consider
> the following query:
> {code}
> sc = new SparkContext(conf)
> val rdd1 = sc.parallelize(1 to 100, 10)
> val rdd2 = sc.parallelize(1 to 1000, 20).barrier().mapPartitions((it, ctx) =>
> it)
> val rdd = rdd1.union(rdd2).mapPartitions(t => t)
> {code}
> Now it requires 30 free slots to run `rdd.collect()`. Actually, we can launch
> regular tasks to collect data from rdd1's partitions, they are not required
> to be launched together. If we can do that, we only need 20 free slots to run
> `rdd.collect()`.
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