jerrypeng commented on code in PR #59523:
URL: https://github.com/apache/spark/pull/59523#discussion_r4408577331
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core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala:
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@@ -5554,12 +5574,13 @@ private[spark] object DAGScheduler {
private[spark] case class CancelledJobInfo(jobId: Int, properties: Properties)
/**
- * Thrown when a job uses a pipelined-shuffle idiom that is not supported
(fan-out, a barrier /
- * indeterminate / checksum-retry / push-merge producer, a reliable checkpoint
in a member's chain,
+ * Thrown when a job uses a pipelined-shuffle idiom that is not supported
(fan-out, dynamic
Review Comment:
Agreed. The Scaladoc now includes repeated consumption and drops the
dynamic-allocation example. After merging master, SPARK-60497 rejects map-stage
jobs with native pipelined ancestry before the producer-side check, so I also
included that rejection in the list. Result jobs retain their earlier plain
`SparkException` rejection for dynamic allocation.
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