diff --git a/common/utils/src/main/resources/error/error-conditions.json b/common/utils/src/main/resources/error/error-conditions.json
index 8e7125a07c1e8..97b66b23dd866 100644
--- a/common/utils/src/main/resources/error/error-conditions.json
+++ b/common/utils/src/main/resources/error/error-conditions.json
@@ -10113,11 +10113,6 @@
       "Sinks cannot request distribution and ordering in continuous execution mode."
     ]
   },
-  "_LEGACY_ERROR_TEMP_2003" : {
-    "message" : [
-      "Unsuccessful try to zip maps with <size> unique keys due to exceeding the array size limit <maxRoundedArrayLength>."
-    ]
-  },
   "_LEGACY_ERROR_TEMP_2017" : {
     "message" : [
       "not resolved."
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 48c3ef0c6a936..c8cf9eb701f95 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -342,12 +342,10 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
     arithmeticOverflowError("Overflow in function conv()", context = context)
   }
 
-  def mapSizeExceedArraySizeWhenZipMapError(size: Int): SparkRuntimeException = {
-    new SparkRuntimeException(
-      errorClass = "_LEGACY_ERROR_TEMP_2003",
-      messageParameters = Map(
-        "size" -> size.toString(),
-        "maxRoundedArrayLength" -> ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH.toString()))
+  def mapSizeExceedArraySizeWhenZipMapError(size: Int): SparkException = {
+    SparkException.internalError(
+      s"Unsuccessful try to zip maps with $size unique keys due to exceeding the array size " +
+        s"limit ${ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH}.")
   }
 
   def literalTypeUnsupportedError(v: Any): RuntimeException = {