Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/17898#discussion_r115269762
--- Diff: core/src/main/scala/org/apache/spark/rdd/CartesianRDD.scala ---
@@ -72,8 +72,10 @@ class CartesianRDD[T: ClassTag, U: ClassTag](
override def compute(split: Partition, context: TaskContext):
Iterator[(T, U)] = {
val currSplit = split.asInstanceOf[CartesianPartition]
- for (x <- rdd1.iterator(currSplit.s1, context);
- y <- rdd2.iterator(currSplit.s2, context)) yield (x, y)
+ val groupSize = 500;
+ for (x <- rdd1.iterator(currSplit.s1, context).grouped(groupSize);
+ y <- rdd2.iterator(currSplit.s2, context).grouped(groupSize);
--- End diff --
Oh haha right. Hm, but isn't this better solved 'upstream' by buffering an
iterator somewhere? or just buffering the iterator right here?
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