[GitHub] [arrow] vibhatha commented on a diff in pull request #12590: ARROW-15639 [C++][Python] UDF Scalar Function Implementation

[GitBox <gi...@apache.org>]

vibhatha commented on code in PR #12590:
URL: https://github.com/apache/arrow/pull/12590#discussion_r841714883


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cpp/src/arrow/python/udf.h:
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@@ -0,0 +1,106 @@
+// 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.
+
+#pragma once
+
+#include "arrow/python/platform.h"
+
+#include <cstdint>
+#include <memory>
+
+#include "arrow/compute/api_scalar.h"
+#include "arrow/compute/cast.h"
+#include "arrow/compute/exec.h"
+#include "arrow/compute/function.h"
+#include "arrow/compute/registry.h"
+#include "arrow/datum.h"
+#include "arrow/util/cpu_info.h"
+#include "arrow/util/logging.h"
+
+#include "arrow/python/common.h"
+#include "arrow/python/pyarrow.h"
+#include "arrow/python/visibility.h"
+
+namespace arrow {
+
+namespace py {
+
+// Exposing the UDFOptions: https://issues.apache.org/jira/browse/ARROW-16041
+class ARROW_PYTHON_EXPORT UdfOptions {
+ public:
+  UdfOptions(const compute::Function::Kind kind, const compute::Arity arity,
+             const compute::FunctionDoc func_doc,
+             const std::vector<compute::InputType> in_types,
+             const compute::OutputType out_type)
+      : kind_(kind),
+        arity_(arity),
+        func_doc_(func_doc),
+        in_types_(in_types),
+        out_type_(out_type) {}
+
+  compute::Function::Kind kind() { return kind_; }
+
+  const compute::Arity& arity() const { return arity_; }
+
+  const compute::FunctionDoc doc() const { return func_doc_; }
+
+  const std::vector<compute::InputType>& input_types() const { return in_types_; }
+
+  const compute::OutputType& output_type() const { return out_type_; }
+
+ private:
+  compute::Function::Kind kind_;
+  compute::Arity arity_;
+  const compute::FunctionDoc func_doc_;
+  std::vector<compute::InputType> in_types_;
+  compute::OutputType out_type_;
+};
+
+class ARROW_PYTHON_EXPORT ScalarUdfOptions : public UdfOptions {
+ public:
+  ScalarUdfOptions(const std::string func_name, const compute::Arity arity,
+                   const compute::FunctionDoc func_doc,
+                   const std::vector<compute::InputType> in_types,
+                   const compute::OutputType out_type)
+      : UdfOptions(compute::Function::SCALAR, arity, func_doc, in_types, out_type),
+        func_name_(func_name) {}

Review Comment:
   The other function types (Aggregator UDFs) would have some other components too. This was based on one of the reviews. I thought it made sense to keep just the base ones to the base class and put the rest in the extended classes. 
   WDYT? 



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