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https://issues.apache.org/jira/browse/SPARK-6746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14483488#comment-14483488
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Apache Spark commented on SPARK-6746:
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User 'ilganeli' has created a pull request for this issue:
https://github.com/apache/spark/pull/5394
> Refactor large functions in DAGScheduler to improve readibility
> ---------------------------------------------------------------
>
> Key: SPARK-6746
> URL: https://issues.apache.org/jira/browse/SPARK-6746
> Project: Spark
> Issue Type: Sub-task
> Components: Scheduler
> Reporter: Ilya Ganelin
>
> The DAGScheduler class contains two huge functions that make it
> very hard to understand what's going on in the code. These are:
> 1) The monolithic handleTaskCompletion
> 2) The cleanupStateForJobAndIndependentStages function
> These can be simply modularized to eliminate some awkward type casting and
> improve code readability.
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