GitHub user cloud-fan opened a pull request: https://github.com/apache/spark/pull/22696
[SPARK-25708][SQL] HAVING without GROUP BY means global aggregate ## What changes were proposed in this pull request? According to the SQL standard, when a query contains `HAVING`, it indicates an aggregate operator. For more details please refer to https://blog.jooq.org/2014/12/04/do-you-really-understand-sqls-group-by-and-having-clauses/ However, in Spark SQL parser, we treat HAVING as a normal filter when there is no GROUP BY, which breaks SQL semantic and lead to wrong result. This PR fixes the parser. ## How was this patch tested? new test You can merge this pull request into a Git repository by running: $ git pull https://github.com/cloud-fan/spark having Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/22696.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 #22696 ---- commit f33400d118c120db54e7155f2b03459177b10194 Author: Wenchen Fan <wenchen@...> Date: 2018-10-11T11:48:30Z HAVING without GROUP BY means global aggregate ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org