GitHub user davies opened a pull request: https://github.com/apache/spark/pull/13182
[SPARK-15390] fix broadcast with 100 millions rows ## What changes were proposed in this pull request? When broadcast a table with more than 100 millions rows (should not ideally), the size of needed memory will overflow. This PR fix the overflow by converting it to Long when calculating the size of memory. Also add more checking in broadcast to show reasonable messages. ## How was this patch tested? Add test. You can merge this pull request into a Git repository by running: $ git pull https://github.com/davies/spark fix_broadcast Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/13182.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 #13182 ---- commit 07d64c1d8dd27be32886478b775e8ef2e309e5c2 Author: Davies Liu <dav...@databricks.com> Date: 2016-05-18T22:41:19Z fix broadcast with 100m rows ---- --- 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