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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2020/01/14 02:29:00 UTC

[jira] [Updated] (SPARK-30502) PeriodicRDDCheckpointer supports storageLevel

     [ https://issues.apache.org/jira/browse/SPARK-30502?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhengruifeng updated SPARK-30502:
---------------------------------
    Summary: PeriodicRDDCheckpointer supports storageLevel  (was: PeriodicRDDCheckpointer add storageLevel)

> PeriodicRDDCheckpointer supports storageLevel
> ---------------------------------------------
>
>                 Key: SPARK-30502
>                 URL: https://issues.apache.org/jira/browse/SPARK-30502
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, Spark Core
>    Affects Versions: 3.0.0
>            Reporter: zhengruifeng
>            Priority: Minor
>
> Intermediate RDDs in ML are cached with storageLevel=StorageLevel.MEMORY_AND_DISK.
> PeriodicRDDCheckpointer will store RDD with storageLevel=StorageLevel.MEMORY_ONLY, it maybe nice to set the storageLevel of checkpointer.



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