GitHub user tejasapatil opened a pull request: https://github.com/apache/spark/pull/16948
[SPARK-19618][SQL] Inconsistency wrt max. buckets allowed from Dataframe API vs SQL ## What changes were proposed in this pull request? Jira: https://issues.apache.org/jira/browse/SPARK-19618 Moved the check for validating number of buckets from `DataFrameWriter` to `BucketSpec` creation ## How was this patch tested? - Added more unit tests You can merge this pull request into a Git repository by running: $ git pull https://github.com/tejasapatil/spark SPARK-19618_max_buckets Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/16948.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 #16948 ---- commit ec35f24fb8af894d64bcb7c064d7049dc42c68ba Author: Tejas Patil <tej...@fb.com> Date: 2017-02-16T01:44:54Z [SPARK-19618][SQL] Inconsistency wrt max. buckets allowed from Dataframe API vs SQL ---- --- 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