[SPARK-42500][SQL] ConstantPropagation support more case

### What changes were proposed in this pull request?

This PR enhances ConstantPropagation to support more cases.

Propagated through other binary comparisons.
Propagated across equality comparisons. This can be further optimized to false.

### Why are the changes needed?

Improve query performance. [Denodo](https://community.denodo.com/docs/html/browse/latest/en/vdp/administration/optimizing_queries/automatic_simplification_of_queries/removing_redundant_branches_of_queries_partitioned_unions) also has a similar optimization. For example:
```
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.

Closes apache#42038 from TongWei1105/SPARK-42500.

Authored-by: TongWei1105 <vvtwow@gmail.com>
Signed-off-by: Yuming Wang <yumwang@ebay.com>

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala

@@ -122,8 +122,6 @@ object ConstantPropagation extends Rule[LogicalPlan] {
       }
   }
 
-  type EqualityPredicates = Seq[((AttributeReference, Literal), BinaryComparison)]
-
   /**
    * Traverse a condition as a tree and replace attributes with constant values.
    * - On matching [[And]], recursively traverse each children and get propagated mappings.
@@ -140,23 +138,23 @@ object ConstantPropagation extends Rule[LogicalPlan] {
    *                    resulted false
    * @return A tuple including:
    *         1. Option[Expression]: optional changed condition after traversal
-   *         2. EqualityPredicates: propagated mapping of attribute => constant
+   *         2. AttributeMap: propagated mapping of attribute => constant
    */
   private def traverse(condition: Expression, replaceChildren: Boolean, nullIsFalse: Boolean)
-    : (Option[Expression], EqualityPredicates) =
+    : (Option[Expression], AttributeMap[(Literal, BinaryComparison)]) =
     condition match {
       case e @ EqualTo(left: AttributeReference, right: Literal)
         if safeToReplace(left, nullIsFalse) =>
-        (None, Seq(((left, right), e)))
+        (None, AttributeMap(Map(left -> (right, e))))
       case e @ EqualTo(left: Literal, right: AttributeReference)
         if safeToReplace(right, nullIsFalse) =>
-        (None, Seq(((right, left), e)))
+        (None, AttributeMap(Map(right -> (left, e))))
       case e @ EqualNullSafe(left: AttributeReference, right: Literal)
         if safeToReplace(left, nullIsFalse) =>
-        (None, Seq(((left, right), e)))
+        (None, AttributeMap(Map(left -> (right, e))))
       case e @ EqualNullSafe(left: Literal, right: AttributeReference)
         if safeToReplace(right, nullIsFalse) =>
-        (None, Seq(((right, left), e)))
+        (None, AttributeMap(Map(right -> (left, e))))
       case a: And =>
         val (newLeft, equalityPredicatesLeft) =
           traverse(a.left, replaceChildren = false, nullIsFalse)
@@ -183,12 +181,12 @@ object ConstantPropagation extends Rule[LogicalPlan] {
         } else {
           None
         }
-        (newSelf, Seq.empty)
+        (newSelf, AttributeMap.empty)
       case n: Not =>
         // Ignore the EqualityPredicates from children since they are only propagated through And.
         val (newChild, _) = traverse(n.child, replaceChildren = true, nullIsFalse = false)
-        (newChild.map(Not), Seq.empty)
-      case _ => (None, Seq.empty)
+        (newChild.map(Not), AttributeMap.empty)
+      case _ => (None, AttributeMap.empty)
     }
 
   // We need to take into account if an attribute is nullable and the context of the conjunctive
@@ -199,16 +197,15 @@ object ConstantPropagation extends Rule[LogicalPlan] {
   private def safeToReplace(ar: AttributeReference, nullIsFalse: Boolean) =
     !ar.nullable || nullIsFalse
 
-  private def replaceConstants(condition: Expression, equalityPredicates: EqualityPredicates)
-    : Expression = {
-    val constantsMap = AttributeMap(equalityPredicates.map(_._1))
-    val predicates = equalityPredicates.map(_._2).toSet
-    def replaceConstants0(expression: Expression) = expression transform {
-      case a: AttributeReference => constantsMap.getOrElse(a, a)
-    }
+  private def replaceConstants(
+      condition: Expression,
+      equalityPredicates: AttributeMap[(Literal, BinaryComparison)]): Expression = {
+    val constantsMap = AttributeMap(equalityPredicates.map { case (attr, (lit, _)) => attr -> lit })
+    val predicates = equalityPredicates.values.map(_._2).toSet
     condition transform {
-      case e @ EqualTo(_, _) if !predicates.contains(e) => replaceConstants0(e)
-      case e @ EqualNullSafe(_, _) if !predicates.contains(e) => replaceConstants0(e)
+      case b: BinaryComparison if !predicates.contains(b) => b transform {
+        case a: AttributeReference => constantsMap.getOrElse(a, a)
+      }
     }
   }
 }

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/ConstantPropagationSuite.scala

@@ -159,8 +159,9 @@ class ConstantPropagationSuite extends PlanTest {
         columnA === Literal(1) && columnA === Literal(2) && columnB === Add(columnA, Literal(3)))
 
     val correctAnswer = testRelation
-      .select(columnA)
-      .where(columnA === Literal(1) && columnA === Literal(2) && columnB === Literal(5)).analyze
+      .select(columnA, columnB)
+      .where(Literal.FalseLiteral)
+      .select(columnA).analyze
 
     comparePlans(Optimize.execute(query.analyze), correctAnswer)
   }
@@ -186,4 +187,31 @@ class ConstantPropagationSuite extends PlanTest {
       .analyze
     comparePlans(Optimize.execute(query2), correctAnswer2)
   }
+
+  test("SPARK-42500: ConstantPropagation supports more cases") {
+    comparePlans(
+      Optimize.execute(testRelation.where(columnA === 1 && columnB > columnA + 2).analyze),
+      testRelation.where(columnA === 1 && columnB > 3).analyze)
+
+    comparePlans(
+      Optimize.execute(testRelation.where(columnA === 1 && columnA === 2).analyze),
+      testRelation.where(Literal.FalseLiteral).analyze)
+
+    comparePlans(
+      Optimize.execute(testRelation.where(columnA === 1 && columnA === columnA + 2).analyze),
+      testRelation.where(Literal.FalseLiteral).analyze)
+
+    comparePlans(
+      Optimize.execute(
+        testRelation.where((columnA === 1 || columnB === 2) && columnB === 1).analyze),
+      testRelation.where(columnA === 1 && columnB === 1).analyze)
+
+    comparePlans(
+      Optimize.execute(testRelation.where(columnA === 1 && columnA === 1).analyze),
+      testRelation.where(columnA === 1).analyze)
+
+    comparePlans(
+      Optimize.execute(testRelation.where(Not(columnA === 1 && columnA === columnA + 2)).analyze),
+      testRelation.where(Not(columnA === 1) || Not(columnA === columnA + 2)).analyze)
+  }
 }