GitHub user WeichenXu123 opened a pull request: https://github.com/apache/spark/pull/15097
[SPARK-17540][SparkR][Spark Core] fix SparkR array serde type problem when length == 0 ## What changes were proposed in this pull request? fix SparkR array serde type problem when length == 0 when length == 0 mark the data type as NULL, and scala side will check case element type == NULL and generate Array[Nothing] with length == 0 because in scala `Nothing` type is sub-type of any other types, so that scala Array[Nothing] can be assigned to any variable with type Array[_]. so that this problem can be solved ideally. ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) (If this patch involves UI changes, please attach a screenshot; otherwise, remove this) You can merge this pull request into a Git repository by running: $ git pull https://github.com/WeichenXu123/spark fix_r_pass_zero_array_type Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/15097.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 #15097 ---- commit 08e011f1d38682dcedc93f4ef8b038ee13fbe5cb Author: WeichenXu <weichenxu...@outlook.com> Date: 2016-09-14T15:14:59Z update ---- --- 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