[SPARK-42328][SQL] Remove _LEGACY_ERROR_TEMP_1175 from error classes

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

Only occurrence of `_LEGACY_ERROR_TEMP_1175` appears under conversion from Spark data types to Parquet. All supported documented [Spark data types](https://spark.apache.org/docs/latest/sql-ref-datatypes.html) are covered in the [conversion function](https://github.com/apache/spark/blob/3e0808c33f185c13808ce2d547ce9ba0057d31a6/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala#L517-L745) (`VarcharType` and `CharType` are not present but they are passed down as string before reaching the conversion function), so under normal circumstances user can't force this error.

Convert the error class to `INTERNAL_ERROR`.

### Why are the changes needed?

Remove legacy error classes as part of activity in [SPARK-37935](https://issues.apache.org/jira/browse/SPARK-37935).

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

If the Spark works correctly, user shouldn't be able to run into `INTERNAL_ERROR` by using the public API.

### How was this patch tested?

Added test to `QueryCompilationErrorsSuite` and tested with sbt:
```
project sql
testOnly *QueryCompilationErrorsSuite
```

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

No.

Closes apache#45183 from nikolamand-db/nikolamand-db/SPARK-42328.

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

common/utils/src/main/resources/error/error-classes.json

@@ -5118,11 +5118,6 @@
       "Unrecognized Parquet type: <field>."
     ]
   },
-  "_LEGACY_ERROR_TEMP_1175" : {
-    "message" : [
-      "Unsupported data type <dataType>."
-    ]
-  },
   "_LEGACY_ERROR_TEMP_1181" : {
     "message" : [
       "Stream-stream join without equality predicate is not supported."

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

@@ -1908,8 +1908,9 @@ private[sql] object QueryCompilationErrors extends QueryErrorsBase with Compilat
 
   def cannotConvertDataTypeToParquetTypeError(field: StructField): Throwable = {
     new AnalysisException(
-      errorClass = "_LEGACY_ERROR_TEMP_1175",
-      messageParameters = Map("dataType" -> field.dataType.catalogString))
+      errorClass = "INTERNAL_ERROR",
+      messageParameters = Map("message" ->
+        s"Cannot convert Spark data type ${toSQLType(field.dataType)} to any Parquet type."))
   }
 
   def incompatibleViewSchemaChangeError(

sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala

@@ -24,6 +24,7 @@ import org.apache.spark.sql._
 import org.apache.spark.sql.api.java.{UDF1, UDF2, UDF23Test}
 import org.apache.spark.sql.catalyst.expressions.{Coalesce, Literal, UnsafeRow}
 import org.apache.spark.sql.catalyst.parser.ParseException
+import org.apache.spark.sql.execution.datasources.parquet.SparkToParquetSchemaConverter
 import org.apache.spark.sql.execution.datasources.v2.jdbc.JDBCTableCatalog
 import org.apache.spark.sql.expressions.SparkUserDefinedFunction
 import org.apache.spark.sql.functions._
@@ -962,6 +963,24 @@ class QueryCompilationErrorsSuite
         "methodName" -> "update",
         "className" -> "org.apache.spark.sql.catalyst.expressions.UnsafeRow"))
   }
+
+  test("INTERNAL_ERROR: Convert unsupported data type from Spark to Parquet") {
+    val converter = new SparkToParquetSchemaConverter
+    val dummyDataType = new DataType {
+      override def defaultSize: Int = 0
+
+      override def simpleString: String = "Dummy"
+
+      override private[spark] def asNullable = NullType
+    }
+    checkError(
+      exception = intercept[AnalysisException] {
+        converter.convertField(StructField("test", dummyDataType))
+      },
+      errorClass = "INTERNAL_ERROR",
+      parameters = Map("message" -> "Cannot convert Spark data type \"DUMMY\" to any Parquet type.")
+    )
+  }
 }
 
 class MyCastToString extends SparkUserDefinedFunction(