[ https://issues.apache.org/jira/browse/SPARK-32542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
karl wang resolved SPARK-32542. ------------------------------- Resolution: Fixed > Add an optimizer rule to split an Expand into multiple Expands for aggregates > ----------------------------------------------------------------------------- > > Key: SPARK-32542 > URL: https://issues.apache.org/jira/browse/SPARK-32542 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 3.0.0 > Reporter: karl wang > Priority: Major > > Split an expand into several small Expand, which contains the Specified > number of projections. > For instance, like this sql.select a, b, c, d, count(1) from table1 group by > a, b, c, d with cube. It can expand 2^4 times of original data size. > Now we specify the spark.sql.optimizer.projections.size=4.The Expand will be > split into 2^4/4 smallExpand.It can reduce the shuffle pressure and improve > performance in multidimensional analysis when data is huge. -- 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