Imran Rashid updated SPARK-23948:
    Component/s: Scheduler

> Trigger mapstage's job listener in submitMissingTasks
> -----------------------------------------------------
>                 Key: SPARK-23948
>                 URL: https://issues.apache.org/jira/browse/SPARK-23948
>             Project: Spark
>          Issue Type: New Feature
>          Components: Scheduler, Spark Core
>    Affects Versions: 2.3.0
>            Reporter: jin xing
>            Priority: Major
> SparkContext submitted a map stage from "submitMapStage" to DAGScheduler, 
> "markMapStageJobAsFinished" is called only in 
> (https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L933
>      and       
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala#L1314);
> But think about below scenario:
> 1. stage0 and stage1 are all "ShuffleMapStage" and stage1 depends on stage0;
> 2. We submit stage1 by "submitMapStage";
> 3. When stage 1 running, "FetchFailed" happened, stage0 and stage1 got 
> resubmitted as stage0_1 and stage1_1;
> 4. When stage0_1 running, speculated tasks in old stage1 come as succeeded, 
> but stage1 is not inside "runningStages". So even though all splits(including 
> the speculated tasks) in stage1 succeeded, job listener in stage1 will not be 
> called;
> 5. stage0_1 finished, stage1_1 starts running. When "submitMissingTasks", 
> there is no missing tasks. But in current code, job listener is not triggered

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