[SPARK-49635][SQL] Remove ANSI config suggestion in CAST error messages

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

This PR improves CAST error messages to provide suggestions based on whether casts work in ANSI mode, non-ANSI mode, or try_cast():
1. Suggest try_cast() when the cast is valid but fails in ANSI mode and try_cast() supports it
2. Suggest disabling ANSI mode when the cast works in non-ANSI mode but try_cast() doesn't support it
3. Provide no suggestion when the cast is invalid in all modes

### Why are the changes needed?

In Spark 4.0.0, ANSI mode is now enabled by default. The previous error messages suggested users disable ANSI mode when encountering cast failures, which goes against the direction of the project. However, completely removing these suggestions would leave users without guidance when migrating code from Spark 3.x that relied on non-ANSI cast behavior.

### Does this PR introduce _any_ user-facing change?

Yes. Error messages for CAST operations that fail in ANSI mode now suggest using `try_cast()` instead of disabling ANSI mode, but only when `try_cast()` actually supports that cast operation.

**Before:**
```
cannot cast "ARRAY<INT>" to "ARRAY<BINARY>" with ANSI mode on.
If you have to cast ARRAY<INT> to ARRAY<BINARY>, you can set "spark.sql.ansi.enabled" as 'false'.
```

**After (for casts supported by try_cast):**
```
cannot cast "ARRAY<INT>" to "ARRAY<BINARY>".
To convert values from "ARRAY<INT>" to "ARRAY<BINARY>", you can use the functions `try_cast` instead.
```

**After (suggests disabling ANSI when try_cast doesn't support it):**
```
cannot cast "TIMESTAMP" to "BOOLEAN" with ANSI mode on.
This cast is not allowed in ANSI mode but works when "spark.sql.ansi.enabled" is 'false'.
```

**After (for casts not supported by try_cast):**
```
cannot cast "INT" to "BINARY".
```

### How was this patch tested?

- Added new test case for complex type casts (Array[Int] to Array[Binary]) that
  demonstrates try_cast suggestion
- Added test case for TIMESTAMP → BOOLEAN cast that demonstrates config suggestion
- Updated existing test expectations in CastWithAnsiOnSuite to reflect the new
  behavior
- All  Cast-related unit tests pass
- Verified no regression in legacy (ANSI off) mode
- Manually tested with spark-shell to verify error messages

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #53295 from qlong/SPARK-49635-remove-ansi-suggestion.

Authored-by: Qiegang Long <qlong@Qiegangs-MacBook-Pro.local>
Signed-off-by: Gengliang Wang <gengliang@apache.org>

Author: Qiegang Long

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

@@ -505,6 +505,10 @@ object Cast extends QueryErrorsBase {
             "config" -> toSQLConf(fallbackConf.get._1),
             "configVal" -> toSQLValue(fallbackConf.get._2, StringType)))
 
+      case _ if fallbackConf.isEmpty && Cast.canTryCast(from, to) =>
+        // Suggest try_cast for valid casts that fail in ANSI mode
+        withFunSuggest("try_cast")
+
       case _ =>
         DataTypeMismatch(
           errorSubClass = "CAST_WITHOUT_SUGGESTION",
@@ -588,8 +592,19 @@ case class Cast(
           Some(SQLConf.STORE_ASSIGNMENT_POLICY.key ->
             SQLConf.StoreAssignmentPolicy.LEGACY.toString))
       } else {
-        Cast.typeCheckFailureMessage(child.dataType, dataType,
-          Some(SQLConf.ANSI_ENABLED.key -> "false"))
+        // Check if there's a config workaround for this cast failure:
+        // - If canTryCast supports this cast, pass None here and let typeCheckFailureMessage
+        //   suggest try_cast (which is more user-friendly than disabling ANSI mode)
+        // - If canTryCast doesn't support it BUT the cast works in non-ANSI mode,
+        //   suggest disabling ANSI mode as a migration path
+        // - Otherwise, pass None and let typeCheckFailureMessage decide
+        val fallbackConf = if (!Cast.canTryCast(child.dataType, dataType) &&
+            Cast.canCast(child.dataType, dataType)) {
+          Some(SQLConf.ANSI_ENABLED.key -> "false")
+        } else {
+          None
+        }
+        Cast.typeCheckFailureMessage(child.dataType, dataType, fallbackConf)
       }
     case EvalMode.TRY =>
       Cast.typeCheckFailureMessage(child.dataType, dataType, None)

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastWithAnsiOnSuite.scala

@@ -211,6 +211,30 @@ class CastWithAnsiOnSuite extends CastSuiteBase with QueryErrorsBase {
     }
   }
 
+  test("SPARK-49635: suggest try_cast for complex type casts") {
+    // Array[Int] to Array[Binary]: canTryCast=true (uses canCast), canAnsiCast=false
+    // Should suggest try_cast, not config
+    val arrayIntType = ArrayType(IntegerType, containsNull = false)
+    val arrayBinaryType = ArrayType(BinaryType, containsNull = false)
+    val arrayIntLiteral = Literal.create(Seq(1, 2, 3), arrayIntType)
+
+    val arrayResult = cast(arrayIntLiteral, arrayBinaryType).checkInputDataTypes()
+    evalMode match {
+      case EvalMode.ANSI =>
+        assert(arrayResult ==
+          DataTypeMismatch(
+            errorSubClass = "CAST_WITH_FUNC_SUGGESTION",
+            messageParameters = Map(
+              "srcType" -> toSQLType(arrayIntType),
+              "targetType" -> toSQLType(arrayBinaryType),
+              "functionNames" -> "`try_cast`"
+            )
+          )
+        )
+      case _ =>
+    }
+  }
+
   test("ANSI mode: disallow variant cast to non-nullable types") {
     // Array
     val variantVal = new VariantVal(Array[Byte](12, 3), Array[Byte](1, 0, 0))