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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/08 03:58:05 UTC

[jira] [Assigned] (SPARK-7292) Provide operator to truncate lineage without persisting RDD's

     [ https://issues.apache.org/jira/browse/SPARK-7292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-7292:
-----------------------------------

    Assignee: Apache Spark  (was: Andrew Or)

> 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: Apache Spark
>         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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