Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4293#discussion_r23886044
--- Diff: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala ---
@@ -308,6 +309,14 @@ class HadoopRDD[K, V](
// Do nothing. Hadoop RDD should not be checkpointed.
}
+ override def persist(storageLevel: StorageLevel): this.type = {
+ if (storageLevel.deserialized) {
+ throw new SparkException("Can't cache HadoopRDDs as deserialized
objects because Hadoop's" +
--- End diff --
Hmm... maybe this is more akin to the "arrays shouldn't be used as keys
when partitioning RDDs with HashPartitioner", which is virtually guaranteed to
lead to a wrong answer.
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