wangyum opened a new pull request, #40093:
URL: https://github.com/apache/spark/pull/40093
### What changes were proposed in this pull request?
This PR enhances `ConstantPropagation` to support more cases. For example:
```sql
a = 1 and b > a + 2 ==> a = 1 && b > 3
a = 1 and a = 2 ==> false
```
### Why are the changes needed?
Improve query performance. For exmaple:
```sql
CREATE TABLE t1(a int, b int) using parquet;
CREATE TABLE t2(x int, y int) using parquet;
CREATE TEMP VIEW v1 AS
SELECT * FROM t1 JOIN t2 WHERE a = x AND a = 0
UNION ALL
SELECT * FROM t1 JOIN t2 WHERE a = x AND (a IS NULL OR a <> 0);
SELECT * FROM v1 WHERE x > 1;
```
Before this PR:
```
== Optimized Logical Plan ==
Union false, false
:- Project [a#0 AS a#12, b#1 AS b#13, x#2 AS x#14, y#3 AS y#15]
: +- Join Inner
: :- Filter (isnotnull(a#0) AND (a#0 = 0))
: : +- Relation spark_catalog.default.t1[a#0,b#1] parquet
: +- Filter (isnotnull(x#2) AND ((0 = x#2) AND (x#2 > 1)))
: +- Relation spark_catalog.default.t2[x#2,y#3] parquet
+- Join Inner, (a#16 = x#18)
:- Filter ((isnull(a#16) OR NOT (a#16 = 0)) AND ((a#16 > 1) AND
isnotnull(a#16)))
: +- Relation spark_catalog.default.t1[a#16,b#17] parquet
+- Filter ((isnotnull(x#18) AND (x#18 > 1)) AND (isnull(x#18) OR NOT
(x#18 = 0)))
+- Relation spark_catalog.default.t2[x#18,y#19] parquet
```
After this PR:
```
== Optimized Logical Plan ==
Join Inner, (a#16 = x#18)
:- Filter ((isnull(a#16) OR NOT (a#16 = 0)) AND ((a#16 > 1) AND
isnotnull(a#16)))
: +- Relation spark_catalog.default.t1[a#16,b#17] parquet
+- Filter ((isnotnull(x#18) AND (x#18 > 1)) AND (isnull(x#18) OR NOT (x#18 =
0)))
+- Relation spark_catalog.default.t2[x#18,y#19] parquet
```
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Unit test.
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