ajithme commented on a change in pull request #24438: [SPARK-23626][CORE]
DAGScheduler blocked due to JobSubmitted event
URL: https://github.com/apache/spark/pull/24438#discussion_r280286559
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File path: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -704,12 +704,31 @@ private[spark] class DAGScheduler(
assert(partitions.nonEmpty)
val func2 = func.asInstanceOf[(TaskContext, Iterator[_]) => _]
val waiter = new JobWaiter[U](this, jobId, partitions.size, resultHandler)
+ eagerPartitions(rdd)
eventProcessLoop.post(JobSubmitted(
jobId, rdd, func2, partitions.toArray, callSite, waiter,
SerializationUtils.clone(properties)))
waiter
}
+ /**
+ * Responsible for eager evaluation of all dependency partitions.
+ * Takes effect only if <b>spark.rdd.eager.partitions</b> is true
+ * @param rdd : initial rdd to be evaluated
+ */
+ def eagerPartitions(rdd: RDD[_]): Unit = {
+ if (sc.getConf.get(config.EAGER_RDD_PARTITION_EVALUATE)) {
+ try {
+ rdd.dependencies.foreach { dependency =>
Review comment:
i checked that all the caller methods were already doing ``rdd.partitions``
hence i skipped calling again, but yes, agree with your suggestion, will change
``eagerPartitions`` to call ``rdd.partitions`` for completeness
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