Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/1799#discussion_r15898996
--- Diff:
core/src/main/scala/org/apache/spark/util/collection/ExternalSorter.scala ---
@@ -120,6 +128,18 @@ private[spark] class ExternalSorter[K, V, C](
// How much of the shared memory pool this collection has claimed
private var myMemoryThreshold = 0L
+ // If there are fewer than spark.shuffle.sort.bypassMergeThreshold
partitions and we don't need
+ // local aggregation and sorting, write numPartitions files directly and
just concatenate them
+ // at the end. This avoids doing serialization and deserialization twice
to merge together the
+ // spilled files, which would happen with the normal code path. The
downside is having multiple
+ // files open at a time and thus more memory allocated to buffers.
+ private val bypassMergeThreshold =
conf.getInt("spark.shuffle.sort.bypassMergeThreshold", 200)
+ private[collection] val bypassMergeSort = //
private[collection] for unit tests
--- End diff --
You can use this in unit test:
http://doc.scalatest.org/1.4.1/org/scalatest/PrivateMethodTester.html
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