[jira] [Commented] (SPARK-10781) Allow certain number of failed tasks and allow job to succeed

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

    [ https://issues.apache.org/jira/browse/SPARK-10781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16738932#comment-16738932 ] 

nxet commented on SPARK-10781:
------------------------------

I met the same problem as some empty sequence files cause the failure of the whole job,but by MR can run normally(mapreduce.map.failures.maxpercent,mapreduce.reduce.failures.maxpercent),the following is my source files:

_116.1 M  348.3 M  /20181226/1545753600402.lzo_deflate
97.0 M  290.9 M  /20181226/1545754236750.lzo_deflate
113.3 M  339.8 M  /20181226/1545754856515.lzo_deflate
126.5 M  379.5 M  /20181226/1545753600402.lzo_deflate
92.9 M  278.6 M  /20181226/1545754233009.lzo_deflate
117.7 M  353.2 M  /20181226/1545754850857.lzo_deflate
0 M  0 M  /20181226/1545755455381.lzo_deflate
0 M  0 M  /20181226/1545756056457.lzo_deflate_

> Allow certain number of failed tasks and allow job to succeed
> -------------------------------------------------------------
>
>                 Key: SPARK-10781
>                 URL: https://issues.apache.org/jira/browse/SPARK-10781
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 1.5.0
>            Reporter: Thomas Graves
>            Priority: Major
>         Attachments: SPARK_10781_Proposed_Solution.pdf
>
>
> MapReduce has this config mapreduce.map.failures.maxpercent and mapreduce.reduce.failures.maxpercent which allows for a certain percent of tasks to fail but the job to still succeed.  
> This could be a useful feature in Spark also if a job doesn't need all the tasks to be successful.



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