Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/7168#discussion_r34099262
--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1078,7 +1078,9 @@ abstract class RDD[T: ClassTag](
val scale = math.max(math.ceil(math.pow(numPartitions, 1.0 /
depth)).toInt, 2)
// If creating an extra level doesn't help reduce
// the wall-clock time, we stop tree aggregation.
- while (numPartitions > scale + numPartitions / scale) {
+
+ // Don't trigger treeAggregation for 5 partitions
+ while (numPartitions > 5 && (numPartitions > scale + numPartitions /
scale)) {
--- End diff --
`5` is an example. I think the right logic is `numPartitions > scale +
math.ceil(1.0 * numPartitions / scale)`.
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