Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15736#discussion_r86128297
--- Diff:
core/src/main/scala/org/apache/spark/util/collection/PartitionedPairBuffer.scala
---
@@ -74,7 +74,20 @@ private[spark] class PartitionedPairBuffer[K,
V](initialCapacity: Int = 64)
/** Iterate through the data in a given order. For this class this is
not really destructive. */
override def partitionedDestructiveSortedIterator(keyComparator:
Option[Comparator[K]])
: Iterator[((Int, K), V)] = {
- val comparator =
keyComparator.map(partitionKeyComparator).getOrElse(partitionComparator)
+ val comparator : Comparator[(Int, K)] =
+ if (keyComparator.isEmpty) {
+ partitionComparator
+ } else
+ new Comparator[(Int, K)] {
+ override def compare(a: (Int, K), b: (Int, K)): Int = {
+ val partitionDiff = a._1 - b._1
--- End diff --
There are some indentation problems here and the else clause is missing a
brace. I think you can omit the type of `comparator`; no space before the colon
in any event.
This subtraction can overflow in theory and give the wrong answer, but the
existing code does it, so, pass on that.
While optimizing, do you want to call keyComparator.get outside the class
definition?
There's a similar construct in PartitionedAppendOnlyMap that should be
changed too. Can this be refactored maybe?
Can the method partitionKeyComparator go away? I think the whole
WritablePartitionedPairCollection object goes away after this if you care to
'inline' it too in the one refactored instance.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
