Yuming Wang created SPARK-35273: ----------------------------------- Summary: CombineFilters support non-deterministic expressions Key: SPARK-35273 URL: https://issues.apache.org/jira/browse/SPARK-35273 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 3.2.0 Reporter: Yuming Wang
For example: {code:scala} spark.sql("create table t1(id int) using parquet") spark.sql("select * from (select * from t1 where id not in (1, 3, 6)) t where id = 7 and rand() <= 0.01").explain("cost") {code} Current: {noformat} == Optimized Logical Plan == Filter (isnotnull(id#0) AND ((id#0 = 7) AND (rand(-639771619343876662) <= 0.01))), Statistics(sizeInBytes=1.0 B) +- Filter NOT id#0 IN (1,3,6), Statistics(sizeInBytes=1.0 B) +- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B) {noformat} Expected: {noformat} == Optimized Logical Plan == Filter (isnotnull(id#0) AND (NOT id#0 IN (1,3,6) AND ((id#0 = 7) AND (rand(-1485510186481201685) <= 0.01)))), Statistics(sizeInBytes=1.0 B) +- Relation default.t1[id#0] parquet, Statistics(sizeInBytes=0.0 B) {noformat} -- 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