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https://issues.apache.org/jira/browse/SPARK-2083?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14065143#comment-14065143
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Bill Havanki commented on SPARK-2083:
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Pull request available: https://github.com/apache/spark/pull/1465
(Please feel free to assign this ticket to me - I don't have that permission.)
> Allow local task to retry after failure.
> ----------------------------------------
>
> Key: SPARK-2083
> URL: https://issues.apache.org/jira/browse/SPARK-2083
> Project: Spark
> Issue Type: Improvement
> Components: Deploy
> Affects Versions: 1.0.0
> Reporter: Peng Cheng
> Priority: Trivial
> Labels: easyfix
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> If a job is submitted to run locally using masterURL = "local[X]", spark will
> not retry a failed task regardless of your "spark.task.maxFailures" setting.
> This design is to facilitate debugging and QA of spark application where all
> tasks are expected to succeed and yield a results. Unfortunately, such
> setting will prevent a local job from finished if any of its task cannot
> guarantee a result (e.g. visiting an external resouce/API), and retrying
> inside the task is less favoured (e.g. the task needs to be executed on a
> different computer on production).
> User however can still set masterURL ="local[X,Y]" to override this (where Y
> is the local maxFailures), but it is not documented and hard to manage. A
> quick fix to this can be to add a new configuration property
> "spark.local.maxFailures" with a default value of 1. So user knows exactly
> where to change when reading the documentation
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