Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/12899#discussion_r62711158 --- Diff: core/src/main/scala/org/apache/spark/scheduler/Task.scala --- @@ -155,7 +155,13 @@ private[spark] abstract class Task[T]( */ def collectAccumulatorUpdates(taskFailed: Boolean = false): Seq[AccumulatorV2[_, _]] = { if (context != null) { - context.taskMetrics.accumulators().filter { a => !taskFailed || a.countFailedValues } + context.taskMetrics.internalAccums.filter { a => + // RESULT_SIZE accumulator is always zero at executor, we need to send it back as its + // value will be updated at driver side. + !a.isZero || a.name == Some(InternalAccumulator.RESULT_SIZE) --- End diff -- Can we add a comment to say internal accumulators will always count on failures?
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