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Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/07/15 05:38:06 UTC

[jira] [Updated] (SPARK-1855) Provide memory-and-local-disk RDD checkpointing

     [ https://issues.apache.org/jira/browse/SPARK-1855?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Andrew Or updated SPARK-1855:
-----------------------------
    Target Version/s: 1.5.0

> Provide memory-and-local-disk RDD checkpointing
> -----------------------------------------------
>
>                 Key: SPARK-1855
>                 URL: https://issues.apache.org/jira/browse/SPARK-1855
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib, Spark Core
>    Affects Versions: 1.0.0
>            Reporter: Xiangrui Meng
>
> Checkpointing is used to cut long lineage while maintaining fault tolerance. The current implementation is HDFS-based. Using the BlockRDD we can create in-memory-and-local-disk (with replication) checkpoints that are not as reliable as HDFS-based solution but faster.
> It can help applications that require many iterations.



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