Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/3832#discussion_r22368902
--- Diff: core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
---
@@ -1121,4 +1124,10 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
private[spark] object PairRDDFunctions {
val RECORDS_BETWEEN_BYTES_WRITTEN_METRIC_UPDATES = 256
+ /**
+ * Used by Spark Streaming in order to bypass the
`spark.hadoop.validateOutputSpecs` checks
--- End diff --
This method is not USED by Spark Streaming. Its used by Spark, but it
allows higher-level frameworks (like Spark Streaming) to override the behavior.
Also this comment should not go into the details of why Spark Streaming updates
it. Just refer to JIRA, and the Spark Streaming;s scheduler code change can do
the explaining of the issue.
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