Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/22894#discussion_r229776086
--- Diff: core/src/main/scala/org/apache/spark/scheduler/MapStatus.scala ---
@@ -189,13 +190,12 @@ private[spark] class HighlyCompressedMapStatus
private (
emptyBlocks.readExternal(in)
avgSize = in.readLong()
val count = in.readInt()
- val hugeBlockSizesArray = mutable.ArrayBuffer[Tuple2[Int, Byte]]()
+ hugeBlockSizes = new util.HashMap[Int, Byte](count).asScala
--- End diff --
How about just scala's mutable Map? I'd expect it's no slower than Java's,
given it might specialize for primitives (not sure about this) and sometimes
has smarter implementations internally.
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