wangyum commented on pull request #31024:
URL: https://github.com/apache/spark/pull/31024#issuecomment-757607737
```scala
spark.range(20000).selectExpr("id as a", "id as b", "id as
c").write.saveAsTable("t1")
spark.sql("ANALYZE TABLE t1 COMPUTE STATISTICS FOR ALL COLUMNS")
spark.sql(s"SELECT * FROM t1 WHERE (a > 10 and b > 10000) or (c < 10 and b <
10000)").explain("cost")
```
My change result:
```
== Optimized Logical Plan ==
Filter (((b#3193L > 10000) AND (a#3192L > 10)) OR ((c#3194L < 10) AND
(b#3193L < 10000))), Statistics(sizeInBytes=312.4 KiB, rowCount=1.00E+4)
+- Relation[a#3192L,b#3193L,c#3194L] parquet, Statistics(sizeInBytes=625.0
KiB, rowCount=2.00E+4)
```
@tanelk's change result:
```
== Optimized Logical Plan ==
Filter (((a#3192L > 10) AND (b#3193L > 10000)) OR ((c#3194L < 10) AND
(b#3193L < 10000))), Statistics(sizeInBytes=312.4 KiB, rowCount=1.00E+4)
+- Relation[a#3192L,b#3193L,c#3194L] parquet, Statistics(sizeInBytes=625.0
KiB, rowCount=2.00E+4)
```
It seems my change is better.
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