Github user jodersky commented on a diff in the pull request: https://github.com/apache/spark/pull/11544#discussion_r55278991 --- Diff: core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala --- @@ -374,28 +374,29 @@ class JobProgressListener(conf: SparkConf) extends SparkListener with Logging { execSummary.taskTime += info.duration stageData.numActiveTasks -= 1 - val (errorMessage, metrics): (Option[String], Option[TaskMetrics]) = + val (errorMessage, metrics): (Option[String], Seq[AccumulableInfo]) = taskEnd.reason match { case org.apache.spark.Success => stageData.completedIndices.add(info.index) stageData.numCompleteTasks += 1 - (None, Option(taskEnd.taskMetrics)) - case e: ExceptionFailure => // Handle ExceptionFailure because we might have metrics + (None, taskEnd.taskMetrics.accumulatorUpdates()) + case e: ExceptionFailure => // Handle ExceptionFailure because we might have metrics stageData.numFailedTasks += 1 - (Some(e.toErrorString), e.metrics) - case e: TaskFailedReason => // All other failure cases + (Some(e.toErrorString), e.accumUpdates) + case e: TaskFailedReason => // All other failure cases stageData.numFailedTasks += 1 - (Some(e.toErrorString), None) + (Some(e.toErrorString), Seq.empty[AccumulableInfo]) } - metrics.foreach { m => + if (metrics.nonEmpty) { val oldMetrics = stageData.taskData.get(info.taskId).flatMap(_.taskMetrics) - updateAggregateMetrics(stageData, info.executorId, m, oldMetrics) + updateAggregateMetrics(stageData, info.executorId, + TaskMetrics.fromAccumulatorUpdates(metrics), oldMetrics) } - val taskData = stageData.taskData.getOrElseUpdate(info.taskId, new TaskUIData(info)) taskData.taskInfo = info - taskData.taskMetrics = metrics + taskData.taskMetrics = if (metrics.nonEmpty) Option(TaskMetrics. + fromAccumulatorUpdates(metrics)) else None --- End diff -- ... and a second time. Is this intentional?
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