Yuming Wang created SPARK-35273:
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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}
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