Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/6034#discussion_r30388400
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/dstream/DStream.scala ---
@@ -338,6 +370,48 @@ abstract class DStream[T: ClassTag] (
}
/**
+ * Helper method to generate an RDD for the specified time.
+ * This sets and resets the relevant local variables before and after
the call to compute.
+ */
+ private def doCompute(time: Time): Option[RDD[T]] = {
+ val scopeKey = SparkContext.RDD_SCOPE_KEY
+ val scopeNoOverrideKey = SparkContext.RDD_SCOPE_NO_OVERRIDE_KEY
+ // Pass this DStream's operation scope and creation site information
to RDDs through
+ // thread-local properties in our SparkContext. Since this method may
be called from another
+ // DStream, we need to temporarily store any old scope and creation
site information to
+ // restore them later after setting our own.
+ // TODO: this won't work if multiple StreamingContexts share the same
SparkContext
--- End diff --
I see. OK.
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