[SPARK-42320][SQL] Assign name to _LEGACY_ERROR_TEMP_2188

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

This PR proposes to assign name to _LEGACY_ERROR_TEMP_2188, "CANNOT_RECOGNIZE_HIVE_TYPE".

### Why are the changes needed?

We should assign proper name to _LEGACY_ERROR_TEMP_*

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

No

### How was this patch tested?

`./build/sbt "sql/testOnly org.apache.spark.sql.SQLQueryTestSuite*`

Closes #39888 from itholic/LEGACY_2188.

Authored-by: itholic <[email protected]>
Signed-off-by: Max Gekk <[email protected]>

Author: itholic

core/src/main/resources/error/error-classes.json

@@ -99,6 +99,12 @@
     ],
     "sqlState" : "22007"
   },
+  "CANNOT_RECOGNIZE_HIVE_TYPE" : {
+    "message" : [
+      "Cannot recognize hive type string: <fieldType>, column: <fieldName>."
+    ],
+    "sqlState" : "429BB"
+  },
   "CANNOT_RESTORE_PERMISSIONS_FOR_PATH" : {
     "message" : [
       "Failed to set permissions on created path <path> back to <permission>."
@@ -4470,11 +4476,6 @@
       "<message>, db: <dbName>, table: <tableName>."
     ]
   },
-  "_LEGACY_ERROR_TEMP_2188" : {
-    "message" : [
-      "Cannot recognize hive type string: <fieldType>, column: <fieldName>."
-    ]
-  },
   "_LEGACY_ERROR_TEMP_2189" : {
     "message" : [
       "Hive 2.2 and lower versions don't support getTablesByType. Please use Hive 2.3 or higher version."

sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala

@@ -1844,10 +1844,10 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase {
   def cannotRecognizeHiveTypeError(
       e: ParseException, fieldType: String, fieldName: String): Throwable = {
     new SparkException(
-      errorClass = "_LEGACY_ERROR_TEMP_2188",
+      errorClass = "CANNOT_RECOGNIZE_HIVE_TYPE",
       messageParameters = Map(
-        "fieldType" -> fieldType,
-        "fieldName" -> fieldName),
+        "fieldType" -> toSQLType(fieldType),
+        "fieldName" -> toSQLId(fieldName)),
       cause = e)
   }
 

sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveDDLSuite.scala

@@ -156,16 +156,21 @@ class HiveCatalogedDDLSuite extends DDLSuite with TestHiveSingleton with BeforeA
   }
 
   test("SPARK-22431: illegal nested type") {
-    val queries = Seq(
-      "CREATE TABLE t USING hive AS SELECT STRUCT('a' AS `$a`, 1 AS b) q",
-      "CREATE TABLE t(q STRUCT<`$a`:INT, col2:STRING>, i1 INT) USING hive")
+    checkError(
+      exception = intercept[SparkException] {
+        spark.sql("CREATE TABLE t USING hive AS SELECT STRUCT('a' AS `$a`, 1 AS b) q")
+      },
+      errorClass = "CANNOT_RECOGNIZE_HIVE_TYPE",
+      parameters = Map("fieldType" -> "\"STRUCT<$A:STRING,B:INT>\"", "fieldName" -> "`q`")
+    )
 
-    queries.foreach(query => {
-      val err = intercept[SparkException] {
-        spark.sql(query)
-      }.getMessage
-      assert(err.contains("Cannot recognize hive type string"))
-    })
+    checkError(
+      exception = intercept[SparkException] {
+        spark.sql("CREATE TABLE t(q STRUCT<`$a`:INT, col2:STRING>, i1 INT) USING hive")
+      },
+      errorClass = "CANNOT_RECOGNIZE_HIVE_TYPE",
+      parameters = Map("fieldType" -> "\"STRUCT<$A:INT,COL2:STRING>\"", "fieldName" -> "`q`")
+    )
 
     withView("v") {
       spark.sql("CREATE VIEW v AS SELECT STRUCT('a' AS `a`, 1 AS b) q")