Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/11544#discussion_r55441647
--- 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 --
This exact code would error out , as Option[TaskMetrics] cannot be assigned
to TaskMetrics. But I get the idea, will make changes.
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