[ https://issues.apache.org/jira/browse/SPARK-12913?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Davies Liu resolved SPARK-12913. -------------------------------- Resolution: Fixed Fix Version/s: 2.0.0 Issue resolved by pull request 10960 [https://github.com/apache/spark/pull/10960] > Reimplement stat functions as declarative function > -------------------------------------------------- > > Key: SPARK-12913 > URL: https://issues.apache.org/jira/browse/SPARK-12913 > Project: Spark > Issue Type: Improvement > Components: SQL > Reporter: Davies Liu > Assignee: Davies Liu > Fix For: 2.0.0 > > > As benchmarked and discussed here: > https://github.com/apache/spark/pull/10786/files#r50038294. > Benefits from codegen, the declarative aggregate function could be much > faster than imperative one, we should re-implement all the builtin aggregate > functions as declarative one. > For skewness and kurtosis, we need to benchmark it to make sure that the > declarative one is actually faster than imperative one. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org