GitHub user gatorsmile opened a pull request: https://github.com/apache/spark/pull/9899
[SPARK-11914] [SQL] Support coalesce and repartition in Dataset APIs This PR is to provide two common `coalesce` and `repartition` in Dataset APIs. After reading the comments of SPARK-9999, I am unclear about the plan for supporting re-partitioning in Dataset APIs. Currently, both RDD APIs and Dataframe APIs provide users such a flexibility to control the number of partitions. In most traditional RDBMS, they expose the number of partitions, the partitioning columns, the table partitioning methods to DBAs for performance tuning and storage optimization. Normally, the changes could largely affect the query performance. Since the actual performance depends on the workload types, I do not think we can always find the best partitioning strategy for all the scenarios. I am wondering if Dataset APIs are planning to hide these APIs from users? Feel free to reject my PR if it does not match your plan. Thank you for your answers. @marmbrus @rxin @cloud-fan You can merge this pull request into a Git repository by running: $ git pull https://github.com/gatorsmile/spark coalesce Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/9899.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 #9899 ---- commit 41d3adecfa1dbbab8165587d38f99036e443b465 Author: gatorsmile <gatorsm...@gmail.com> Date: 2015-11-23T03:12:42Z Support coalesce and repartition in Dataset APIs commit db4accceb3fff4c4018662da3d12df40015550f8 Author: gatorsmile <gatorsm...@gmail.com> Date: 2015-11-23T03:14:42Z style clean ---- --- 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