[ https://issues.apache.org/jira/browse/SPARK-32096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-32096: --------------------------------- Target Version/s: (was: 3.1.0) > Support top-N sort for Spark SQL rank window function > ----------------------------------------------------- > > Key: SPARK-32096 > URL: https://issues.apache.org/jira/browse/SPARK-32096 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 3.0.0 > Environment: Any environment that supports Spark. > Reporter: Zikun > Priority: Major > Fix For: 3.1.0 > > > In Spark SQL, there are two types of sort execution, *_SortExec_* and > *_TakeOrderedAndProjectExec_* . > *_SortExec_* is a general sorting execution and it does not support top-N > sort. > *_TakeOrderedAndProjectExec_* is the execution for top-N sort in Spark. > Spark SQL rank window function needs to sort the data locally and it relies > on the execution plan *_SortExec_* to sort the data in each physical data > partition. When the filter of the window rank (e.g. rank <= 100) is specified > in a user's query, the filter can actually be pushed down to the SortExec and > then we let SortExec operates top-N sort. > Right now SortExec does not support top-N sort and we need to extend the > capability of SortExec to support top-N sort. > Or if SortExec is not considered as the right execution choice, we can create > a new execution plan called topNSortExec to do top-N sort in each local > partition if a filter on the window rank is specified. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org