diff --git a/common/utils/src/main/resources/error/error-classes.json b/common/utils/src/main/resources/error/error-classes.json
index 6c953174865f0..ac3de519bff7f 100644
--- a/common/utils/src/main/resources/error/error-classes.json
+++ b/common/utils/src/main/resources/error/error-classes.json
@@ -5099,11 +5099,6 @@
       "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."
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
index 53338f38ed6d2..e96474862b1d7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryCompilationErrors.scala
+++ b/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(
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
index e22399c326f60..d4e4a41155eaf 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryCompilationErrorsSuite.scala
+++ b/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(