[SPARK-34012][SQL][3.0] Keep behavior consistent when conf `spark.sql…

…legacy.parser.havingWithoutGroupByAsWhere` is true with migration guide

### What changes were proposed in this pull request?
In #22696 we support HAVING without GROUP BY means global aggregate
But since we treat having as Filter before, in this way will cause a lot of analyze error, after #28294 we use `UnresolvedHaving` to instead `Filter` to solve such problem, but break origin logical about treat `SELECT 1 FROM range(10) HAVING true` as `SELECT 1 FROM range(10) WHERE true`   .
This PR fix this issue and add UT.

NOTE: This backport comes from #31039

### Why are the changes needed?
Keep consistent behavior of migration guide.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
added UT

Closes #31049 from AngersZhuuuu/SPARK-34012-3.0.

Authored-by: angerszhu <angers.zhu@gmail.com>
Signed-off-by: Takeshi Yamamuro <yamamuro@apache.org>

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/parser/AstBuilder.scala

@@ -723,7 +723,11 @@ class AstBuilder(conf: SQLConf) extends SqlBaseBaseVisitor[AnyRef] with Logging
     val withProject = if (aggregationClause == null && havingClause != null) {
       if (conf.getConf(SQLConf.LEGACY_HAVING_WITHOUT_GROUP_BY_AS_WHERE)) {
         // If the legacy conf is set, treat HAVING without GROUP BY as WHERE.
-        withHavingClause(havingClause, createProject())
+        val predicate = expression(havingClause.booleanExpression) match {
+          case p: Predicate => p
+          case e => Cast(e, BooleanType)
+        }
+        Filter(predicate, createProject())
       } else {
         // According to SQL standard, HAVING without GROUP BY means global aggregate.
         withHavingClause(havingClause, Aggregate(Nil, namedExpressions, withFilter))

sql/core/src/test/resources/sql-tests/inputs/group-by.sql

@@ -86,6 +86,16 @@ SELECT 1 FROM range(10) HAVING MAX(id) > 0;
 
 SELECT id FROM range(10) HAVING id > 0;
 
+SET spark.sql.legacy.parser.havingWithoutGroupByAsWhere=true;
+
+SELECT 1 FROM range(10) HAVING true;
+
+SELECT 1 FROM range(10) HAVING MAX(id) > 0;
+
+SELECT id FROM range(10) HAVING id > 0;
+
+SET spark.sql.legacy.parser.havingWithoutGroupByAsWhere=false;
+
 -- Test data
 CREATE OR REPLACE TEMPORARY VIEW test_agg AS SELECT * FROM VALUES
   (1, true), (1, false),

sql/core/src/test/resources/sql-tests/results/group-by.sql.out

@@ -1,5 +1,5 @@
 -- Automatically generated by SQLQueryTestSuite
--- Number of queries: 56
+-- Number of queries: 61
 
 
 -- !query
@@ -277,6 +277,67 @@ org.apache.spark.sql.AnalysisException
 grouping expressions sequence is empty, and '`id`' is not an aggregate function. Wrap '()' in windowing function(s) or wrap '`id`' in first() (or first_value) if you don't care which value you get.;
 
 
+-- !query
+SET spark.sql.legacy.parser.havingWithoutGroupByAsWhere=true
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.parser.havingWithoutGroupByAsWhere	true
+
+
+-- !query
+SELECT 1 FROM range(10) HAVING true
+-- !query schema
+struct<1:int>
+-- !query output
+1
+1
+1
+1
+1
+1
+1
+1
+1
+1
+
+
+-- !query
+SELECT 1 FROM range(10) HAVING MAX(id) > 0
+-- !query schema
+struct<>
+-- !query output
+org.apache.spark.sql.AnalysisException
+
+Aggregate/Window/Generate expressions are not valid in where clause of the query.
+Expression in where clause: [(max(`id`) > CAST(0 AS BIGINT))]
+Invalid expressions: [max(`id`)];
+
+
+-- !query
+SELECT id FROM range(10) HAVING id > 0
+-- !query schema
+struct<id:bigint>
+-- !query output
+1
+2
+3
+4
+5
+6
+7
+8
+9
+
+
+-- !query
+SET spark.sql.legacy.parser.havingWithoutGroupByAsWhere=false
+-- !query schema
+struct<key:string,value:string>
+-- !query output
+spark.sql.legacy.parser.havingWithoutGroupByAsWhere	false
+
+
 -- !query
 CREATE OR REPLACE TEMPORARY VIEW test_agg AS SELECT * FROM VALUES
   (1, true), (1, false),