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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-1855) Provide memory-and-local-disk RDD checkpointing
Date Wed, 15 Jul 2015 03:38:10 GMT

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

Apache Spark reassigned SPARK-1855:
-----------------------------------

    Assignee: Apache Spark  (was: Andrew Or)

> 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
>            Assignee: Apache Spark
>
> 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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