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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/29 09:06:00 UTC
[jira] [Commented] (SPARK-22649) localCheckpoint support in Dataset
API
[ https://issues.apache.org/jira/browse/SPARK-22649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16270440#comment-16270440 ]
Apache Spark commented on SPARK-22649:
--------------------------------------
User 'ferdonline' has created a pull request for this issue:
https://github.com/apache/spark/pull/19805
> 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
> Priority: Minor
> Labels: easyfix
>
> 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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