GitHub user setjet opened a pull request: https://github.com/apache/spark/pull/18113
[SPARK-20890][SQL] Added min and max typed aggregation functions ## What changes were proposed in this pull request? Typed Min and Max functions are missing for aggregations done on dataset. These are supported for DataFrames and therefore should also be part of the DataSet API. Please note that it is OK that the min and max functions start the MR job with MAX and MIN values respectively, because only retrieved keys are returned. ## How was this patch tested? Added some corresponding unit tests. You can merge this pull request into a Git repository by running: $ git pull https://github.com/setjet/spark spark-20890 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/18113.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 #18113 ---- commit d7159930d10cff73fb838e51e9971e9857911a5c Author: setjet <rubenljans...@gmail.com> Date: 2017-05-25T21:08:04Z added min and max typed aggregation functions ---- --- 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