Ngone51 commented on a change in pull request #27773: [SPARK-29154][CORE]
Update Spark scheduler for stage level scheduling
URL: https://github.com/apache/spark/pull/27773#discussion_r393417188
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File path: core/src/main/scala/org/apache/spark/rdd/RDD.scala
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@@ -1716,11 +1717,37 @@ abstract class RDD[T: ClassTag](
@Since("2.4.0")
def barrier(): RDDBarrier[T] = withScope(new RDDBarrier[T](this))
+ /**
+ * Specify a ResourceProfile to use when calculating this RDD. This is only
supported on
+ * certain cluster managers and currently requires dynamic allocation to be
enabled.
+ * It will result in new executors with the resources specified being
acquired to
+ * calculate the RDD.
+ */
+ // PRIVATE for now, added for testing purposes, will be made public with
SPARK-29150
+ @Experimental
+ @Since("3.0.0")
+ private[spark] def withResources(rp: ResourceProfile): this.type = {
+ resourceProfile = Some(rp)
Review comment:
Maybe, `Option(rp)`? In case of a `null` input.
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