sven-weber-db commented on code in PR #55768:
URL: https://github.com/apache/spark/pull/55768#discussion_r3259492918


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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ExternalUserDefinedFunction.scala:
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@@ -0,0 +1,76 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.expressions
+
+import org.apache.spark.annotation.Experimental
+import org.apache.spark.sql.catalyst.trees.TreePattern.{EXTERNAL_UDF, 
TreePattern}
+import org.apache.spark.sql.types.DataType
+
+/**
+ * :: Experimental ::
+ * A serialized external UDF that is executed in an external worker process
+ * via the language-agnostic UDF worker framework.
+ *
+ * This is a Catalyst expression analogous to [[PythonUDF]] but
+ * language-agnostic. The [[payload]] carries an opaque serialized
+ * function definition whose interpretation is left to the worker.
+ * The optional [[inputTypes]] declare the expected argument types for
+ * validation during analysis; when absent, any input types are accepted.
+ *
+ * This expression is [[Unevaluable]] and requires a dedicated physical
+ * operator (e.g. 
[[org.apache.spark.sql.execution.externalUDF.MapPartitionsExternalUDFExec]])
+ * to execute.
+ *
+ * @param name             Name of the UDF.
+ * @param payload          Opaque serialized function definition.
+ * @param dataType         Return type of the UDF.
+ * @param children         Input argument expressions.
+ * @param inputTypes       Optional declared input types for validation.
+ * @param udfDeterministic Whether this UDF is deterministic.
+ * @param udfNullable      Whether this UDF can return null.
+ * @param resultId         Unique expression ID for this invocation.
+ */
+@Experimental
+case class ExternalUserDefinedFunction(
+    name: String,

Review Comment:
   Could you elaborate on which part specifically should be optional? For 
`name,` I don't think this can be optional. E.g., in `PythonUDF`, `name` is 
also a required string



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