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  1. Spark
  2. SPARK-1855

Provide memory-and-local-disk RDD checkpointing

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    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 1.0.0
    • Fix Version/s: 1.5.0
    • Component/s: MLlib, Spark Core
    • Labels:
      None
    • Target Version/s:

      Description

      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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              • Assignee:
                andrewor14 Andrew Or
                Reporter:
                mengxr Xiangrui Meng
              • Votes:
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                Dates

                • Created:
                  Updated:
                  Resolved: