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Posted to issues@spark.apache.org by "Hieu Tri Huynh (JIRA)" <ji...@apache.org> on 2018/06/20 02:26:00 UTC
[jira] [Commented] (SPARK-10781) Allow certain number of failed
tasks and allow job to succeed
[ https://issues.apache.org/jira/browse/SPARK-10781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16517716#comment-16517716 ]
Hieu Tri Huynh commented on SPARK-10781:
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I attached a proposed solution for this Jira. Hope to receive opinions from all of you. Thank you.
[^SPARK_10781_Proposed_Solution.pdf]
> 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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