viirya commented on a change in pull request #34265:
URL: https://github.com/apache/spark/pull/34265#discussion_r728597530
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File path: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -962,6 +1002,11 @@ private[spark] class DAGScheduler(
throw SparkCoreErrors.cannotRunSubmitMapStageOnZeroPartitionRDDError()
}
+ // SPARK-23626: `RDD.getPartitions()` can be slow, so we eagerly compute
+ // `.partitions` on every RDD in the DAG to ensure that `getPartitions()`
+ // is evaluated outside of the DAGScheduler's single-threaded event loop:
+ eagerlyComputePartitionsForRddAndAncestors(rdd)
+
Review comment:
Looks like before the three places calling
`eagerlyComputePartitionsForRddAndAncestors`, there are some checks for
`rdd.partitions`, so actually we just (need) compute its ancestors?
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