GitHub user jaceklaskowski opened a pull request: https://github.com/apache/spark/pull/19095
[SPARK-21886][SQL] Use SparkSession.internalCreateDataFrame to create⦠⦠Dataset with LogicalRDD logical operator ## What changes were proposed in this pull request? Reusing `SparkSession.internalCreateDataFrame` wherever possible (to cut dups) ## How was this patch tested? Local build and waiting for Jenkins You can merge this pull request into a Git repository by running: $ git pull https://github.com/jaceklaskowski/spark SPARK-21886-internalCreateDataFrame Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/19095.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #19095 ---- commit fff4b6131cfb2143af465d28ab3cde4fb6af313e Author: Jacek Laskowski <ja...@japila.pl> Date: 2017-08-31T10:44:24Z [SPARK-21886][SQL] Use SparkSession.internalCreateDataFrame to create Dataset with LogicalRDD logical operator ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org