[SPARK-39961][SQL] DS V2 push-down translate Cast if the cast is safe

### What changes were proposed in this pull request?
Currently, DS V2 push-down translate `Cast` only if the ansi mode is true.
In fact, if the cast is safe(e.g. cast number to string, cast int to long), we can translate it too.

This PR will call `Cast.canUpCast` so as we can translate `Cast` to V2 `Cast` safely.

Note: The rule `SimplifyCasts` optimize some safe cast, e.g. cast int to long, so we may not see the `Cast`.

### Why are the changes needed?
Add the range for DS V2 push down `Cast`.

### Does this PR introduce _any_ user-facing change?
'Yes'.
`Cast` could be pushed down to data source in more cases.

### How was this patch tested?
Test cases updated.

Closes #37388 from beliefer/SPARK-39961.

Authored-by: Jiaan Geng <beliefer@163.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

Author: beliefer

sql/core/src/main/scala/org/apache/spark/sql/catalyst/util/V2ExpressionBuilder.scala

@@ -88,7 +88,8 @@ class V2ExpressionBuilder(e: Expression, isPredicate: Boolean = false) {
       } else {
         None
       }
-    case Cast(child, dataType, _, true) =>
+    case Cast(child, dataType, _, ansiEnabled)
+        if ansiEnabled || Cast.canUpCast(child.dataType, dataType) =>
       generateExpression(child).map(v => new V2Cast(v, dataType))
     case Abs(child, true) => generateExpressionWithName("ABS", Seq(child))
     case Coalesce(children) => generateExpressionWithName("COALESCE", children)

sql/core/src/test/scala/org/apache/spark/sql/jdbc/JDBCV2Suite.scala

@@ -1109,7 +1109,7 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
             "CAST(BONUS AS string) LIKE '%30%', CAST(DEPT AS byte) > 1, " +
             "CAST(DEPT AS short) > 1, CAST(BONUS AS decimal(20,2)) > 1200.00]"
         } else {
-          "PushedFilters: [BONUS IS NOT NULL, DEPT IS NOT NULL],"
+          "PushedFilters: [BONUS IS NOT NULL, DEPT IS NOT NULL, CAST(BONUS AS string) LIKE '%30%']"
         }
         checkPushedInfo(df6, expectedPlanFragment6)
         checkAnswer(df6, Seq(Row(2, "david", 10000, 1300, true)))
@@ -1199,18 +1199,16 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
       checkPushedInfo(df1, "PushedFilters: [CHAR_LENGTH(NAME) > 2],")
       checkAnswer(df1, Seq(Row("fred", 1), Row("mary", 2)))
 
-      withSQLConf(SQLConf.ANSI_ENABLED.key -> "true") {
-        val df2 = sql(
-          """
-            |SELECT *
-            |FROM h2.test.people
-            |WHERE h2.my_strlen(CASE WHEN NAME = 'fred' THEN NAME ELSE "abc" END) > 2
+      val df2 = sql(
+        """
+          |SELECT *
+          |FROM h2.test.people
+          |WHERE h2.my_strlen(CASE WHEN NAME = 'fred' THEN NAME ELSE "abc" END) > 2
           """.stripMargin)
-        checkFiltersRemoved(df2)
-        checkPushedInfo(df2,
-          "PushedFilters: [CHAR_LENGTH(CASE WHEN NAME = 'fred' THEN NAME ELSE 'abc' END) > 2],")
-        checkAnswer(df2, Seq(Row("fred", 1), Row("mary", 2)))
-      }
+      checkFiltersRemoved(df2)
+      checkPushedInfo(df2,
+        "PushedFilters: [CHAR_LENGTH(CASE WHEN NAME = 'fred' THEN NAME ELSE 'abc' END) > 2],")
+      checkAnswer(df2, Seq(Row("fred", 1), Row("mary", 2)))
     } finally {
       JdbcDialects.unregisterDialect(testH2Dialect)
       JdbcDialects.registerDialect(H2Dialect)
@@ -2262,24 +2260,17 @@ class JDBCV2Suite extends QueryTest with SharedSparkSession with ExplainSuiteHel
   }
 
   test("scan with aggregate push-down: partial push-down AVG with overflow") {
-    def createDataFrame: DataFrame = spark.read
-      .option("partitionColumn", "id")
-      .option("lowerBound", "0")
-      .option("upperBound", "2")
-      .option("numPartitions", "2")
-      .table("h2.test.item")
-      .agg(avg($"PRICE").as("avg"))
-
     Seq(true, false).foreach { ansiEnabled =>
       withSQLConf((SQLConf.ANSI_ENABLED.key, ansiEnabled.toString)) {
-        val df = createDataFrame
+        val df = spark.read
+          .option("partitionColumn", "id")
+          .option("lowerBound", "0")
+          .option("upperBound", "2")
+          .option("numPartitions", "2")
+          .table("h2.test.item")
+          .agg(avg($"PRICE").as("avg"))
         checkAggregateRemoved(df, false)
-        df.queryExecution.optimizedPlan.collect {
-          case _: DataSourceV2ScanRelation =>
-            val expected_plan_fragment =
-              "PushedAggregates: [COUNT(PRICE), SUM(PRICE)]"
-            checkKeywordsExistsInExplain(df, expected_plan_fragment)
-        }
+        checkPushedInfo(df, "PushedAggregates: [COUNT(PRICE), SUM(PRICE)]")
         if (ansiEnabled) {
           val e = intercept[SparkException] {
             df.collect()