[jira] [Commented] (SPARK-6746) Refactor large functions in DAGScheduler to improve readibility

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14483488#comment-14483488 ] 

Apache Spark commented on SPARK-6746:
-------------------------------------

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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