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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/07 18:55:13 UTC
[jira] [Assigned] (SPARK-6746) Refactor large functions in
DAGScheduler to improve readibility
[ https://issues.apache.org/jira/browse/SPARK-6746?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-6746:
-----------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
>
> 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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