Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/1545#discussion_r16389097
--- Diff:
core/src/main/scala/org/apache/spark/ui/jobs/JobProgressListener.scala ---
@@ -43,13 +43,16 @@ class JobProgressListener(conf: SparkConf) extends
SparkListener with Logging {
// How many stages to remember
val retainedStages = conf.getInt("spark.ui.retainedStages",
DEFAULT_RETAINED_STAGES)
- val activeStages = HashMap[Int, StageInfo]()
+ // Map from stageId to StageInfo
+ val activeStages = new HashMap[Int, StageInfo]
+
+ // Map from (stageId, attemptId) to StageInfo
+ val stageIdToData = new HashMap[(Int, Int), StageUIData]
+
val completedStages = ListBuffer[StageInfo]()
val failedStages = ListBuffer[StageInfo]()
- val stageIdToData = new HashMap[Int, StageUIData]
-
- val poolToActiveStages = HashMap[String, HashMap[Int, StageInfo]]()
+ val poolToActiveStages = HashMap[String, HashMap[(Int, Int),
StageInfo]]()
--- End diff --
why do you need to index this by attempt + stageID? As above, isn't only
one attempt active at once?
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