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https://issues.apache.org/jira/browse/SPARK-7292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14617830#comment-14617830
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Apache Spark commented on SPARK-7292:
-------------------------------------

User 'andrewor14' has created a pull request for this issue:
https://github.com/apache/spark/pull/7279

> Provide operator to truncate lineage without persisting RDD's
> -------------------------------------------------------------
>
>                 Key: SPARK-7292
>                 URL: https://issues.apache.org/jira/browse/SPARK-7292
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>            Reporter: Patrick Wendell
>            Assignee: Andrew Or
>         Attachments: SPARK-7292-design.pdf
>
>
> Checkpointing exists in Spark to truncate a lineage chain. I've heard 
> requests from some users to allow truncation of lineage in a way that is 
> "cheap" and doesn't serialized and persist the RDD. This is possible if the 
> user is willing to forgo fault tolerance for that RDD (for instance, for 
> shorter running jobs or ones that use a small number of machines). It's 
> pretty easy to allow this so we should look into it for Spark 1.5.



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