[jira] [Resolved] (SPARK-18905) Potential Issue of Semantics of BatchCompleted

["Shixiong Zhu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18905?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shixiong Zhu resolved SPARK-18905.
----------------------------------
       Resolution: Fixed
         Assignee: Nan Zhu
    Fix Version/s: 2.2.0
                   2.1.1

> Potential Issue of Semantics of BatchCompleted
> ----------------------------------------------
>
>                 Key: SPARK-18905
>                 URL: https://issues.apache.org/jira/browse/SPARK-18905
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams
>    Affects Versions: 2.0.0, 2.0.1, 2.0.2
>            Reporter: Nan Zhu
>            Assignee: Nan Zhu
>             Fix For: 2.1.1, 2.2.0
>
>
> the current implementation of Spark streaming considers a batch is completed no matter the results of the jobs (https://github.com/apache/spark/blob/1169db44bc1d51e68feb6ba2552520b2d660c2c0/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobScheduler.scala#L203)
> Let's consider the following case:
> A micro batch contains 2 jobs and they read from two different kafka topics respectively. One of these jobs is failed due to some problem in the user defined logic, after the other one is finished successfully. 
> 1. The main thread in the Spark streaming application will execute the line mentioned above, 
> 2. and another thread (checkpoint writer) will make a checkpoint file immediately after this line is executed. 
> 3. Then due to the current error handling mechanism in Spark Streaming, StreamingContext will be closed (https://github.com/apache/spark/blob/1169db44bc1d51e68feb6ba2552520b2d660c2c0/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobScheduler.scala#L214)
> the user recovers from the checkpoint file, and because the JobSet containing the failed job has been removed (taken as completed) before the checkpoint is constructed, the data being processed by the failed job would never be reprocessed?
> I might have missed something in the checkpoint thread or this handleJobCompletion()....or it is a potential bug 



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