[ 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 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org