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From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-22649) localCheckpoint support in Dataset API
Date Wed, 20 Dec 2017 04:49:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-22649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiao Li resolved SPARK-22649.
-----------------------------
       Resolution: Fixed
         Assignee: Fernando Pereira
    Fix Version/s: 2.3.0

> localCheckpoint support in Dataset API
> --------------------------------------
>
>                 Key: SPARK-22649
>                 URL: https://issues.apache.org/jira/browse/SPARK-22649
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 2.2.0
>            Reporter: Fernando Pereira
>            Assignee: Fernando Pereira
>            Priority: Minor
>              Labels: easyfix
>             Fix For: 2.3.0
>
>
> localCheckpoints were recently introduced in RDDs as a way of quickly truncate the execution
plan by using the caching subsystem (and therefore can not be considered reliable).
> I believe it would be of major interest to offer this API in the Dataset API, and similarly
in Python Dataframes.
> A possible implementation is at PR19805



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