[ https://issues.apache.org/jira/browse/SPARK-1671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust resolved SPARK-1671. ------------------------------------- Resolution: Fixed I'm gonna mark this as resolved now that we do at least invalidate the cache when writing through. We can create a follow up JIRA for partial invalidation if we want. > Cached tables should follow write-through policy > ------------------------------------------------ > > Key: SPARK-1671 > URL: https://issues.apache.org/jira/browse/SPARK-1671 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 1.0.0 > Reporter: Cheng Lian > Assignee: Michael Armbrust > Labels: cache, column > > Writing (insert / load) to a cached table causes cache inconsistency, and > user have to unpersist and cache the whole table again. > The write-through policy may be implemented with {{RDD.union}}. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org