Github user a-roberts commented on the issue:
https://github.com/apache/spark/pull/15736
Back to working on the performance related JIRAs now, so based on the above
helpful comments here's what I'll do
Remove the .get.compare from the loop as suggested above - we'll do a .get
upfront to get our comparator to use, eliminating the .get later
Move the duplicated code into the WritablePartitionedPairCollection object
so the two methods optimised here will call the above new method (let's say
it's called getComparator) before returning accordingly (both methods are the
same apart from the final few lines).
PartitionedAppendOnlyMap returns
```
destructiveSortedIterator(comparator)
```
and PartitionedPairBuffer returns:
```
new Sorter(new KVArraySortDataFormat[(Int, K), AnyRef]).sort(data, 0,
curSize, comparator)
iterator
```
I'll then build/test/profile this again
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