Github user seyfe commented on a diff in the pull request:
https://github.com/apache/spark/pull/15371#discussion_r82470766
--- Diff: core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
---
@@ -344,15 +338,20 @@ private[spark] class BlockStatusesAccumulator
override def add(v: (BlockId, BlockStatus)): Unit = _seq.add(v)
override def merge(
- other: AccumulatorV2[(BlockId, BlockStatus), java.util.List[(BlockId,
BlockStatus)]]): Unit = {
+ other: AccumulatorV2[(BlockId, BlockStatus), List[(BlockId,
BlockStatus)]]): Unit = {
other match {
- case o: BlockStatusesAccumulator => _seq.addAll(o.value)
+ case o: BlockStatusesAccumulator => o.value.foreach(_seq.add)
case _ => throw new UnsupportedOperationException(
s"Cannot merge ${this.getClass.getName} with
${other.getClass.getName}")
}
}
- override def value: java.util.List[(BlockId, BlockStatus)] = _seq
+ // `asScala` accesses the internal values using `java.util.Iterator` so
needs to be synchronized
+ override def value: List[(BlockId, BlockStatus)] = {
+ _seq.synchronized {
--- End diff --
Regarding #2, I take a look at `CollectionAccumulator` as well and it seems
like a good idea. Let me give it a try.
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