rtpsw commented on code in PR #14682:
URL: https://github.com/apache/arrow/pull/14682#discussion_r1067070024


##########
python/pyarrow/src/arrow/python/udf.cc:
##########
@@ -105,21 +192,109 @@ Status RegisterScalarFunction(PyObject* user_function, 
ScalarUdfWrapperCallback
   }
   compute::OutputType output_type(options.output_type);
   auto udf_data = std::make_shared<PythonUdf>(
-      wrapper, std::make_shared<OwnedRefNoGIL>(user_function), 
options.output_type);
+      std::make_shared<OwnedRefNoGIL>(user_function), wrapper,
+      TypeHolder::FromTypes(options.input_types), options.output_type);
   compute::ScalarKernel kernel(
       compute::KernelSignature::Make(std::move(input_types), 
std::move(output_type),
                                      options.arity.is_varargs),
-      PythonUdfExec);
+      PythonUdfExec, kernel_init);
   kernel.data = std::move(udf_data);
 
   kernel.mem_allocation = compute::MemAllocation::NO_PREALLOCATE;
   kernel.null_handling = compute::NullHandling::COMPUTED_NO_PREALLOCATE;
   RETURN_NOT_OK(scalar_func->AddKernel(std::move(kernel)));
-  auto registry = compute::GetFunctionRegistry();
+  if (registry == NULLPTR) {
+    registry = compute::GetFunctionRegistry();
+  }
   RETURN_NOT_OK(registry->AddFunction(std::move(scalar_func)));
   return Status::OK();
 }
 
-}  // namespace py
+}  // namespace
 
+Status RegisterScalarFunction(PyObject* user_function, UdfWrapperCallback 
wrapper,
+                              const UdfOptions& options,
+                              compute::FunctionRegistry* registry) {
+  return RegisterUdf(
+      user_function,
+      PythonUdfKernelInit{std::make_shared<OwnedRefNoGIL>(user_function)}, 
wrapper,
+      options, registry);
+}
+
+Status RegisterTabularFunction(PyObject* user_function, UdfWrapperCallback 
wrapper,
+                               const UdfOptions& options,
+                               compute::FunctionRegistry* registry) {
+  if (options.arity.num_args != 0 || options.arity.is_varargs) {
+    return Status::NotImplemented("tabular function of non-null arity");
+  }
+  if (options.output_type->id() != Type::type::STRUCT) {
+    return Status::Invalid("tabular function with non-struct output");
+  }
+  return RegisterUdf(
+      user_function,
+      PythonTableUdfKernelInit{std::make_shared<OwnedRefNoGIL>(user_function), 
wrapper},
+      wrapper, options, registry);
+}
+
+Result<std::shared_ptr<RecordBatchReader>> CallTabularFunction(
+    const std::string& func_name, const std::vector<Datum>& args,
+    compute::FunctionRegistry* registry) {
+  if (args.size() != 0) {
+    return Status::NotImplemented("non-empty arguments to tabular function");
+  }
+  if (registry == NULLPTR) {
+    registry = compute::GetFunctionRegistry();
+  }
+  ARROW_ASSIGN_OR_RAISE(auto func, registry->GetFunction(func_name));
+  if (func->kind() != compute::Function::SCALAR) {
+    return Status::Invalid("tabular function of non-scalar kind");
+  }
+  auto arity = func->arity();
+  if (arity.num_args != 0 || arity.is_varargs) {
+    return Status::NotImplemented("tabular function of non-null arity");
+  }
+  auto kernels =
+      
arrow::internal::checked_pointer_cast<compute::ScalarFunction>(func)->kernels();
+  if (kernels.size() != 1) {
+    return Status::NotImplemented("tabular function with non-single kernel");
+  }
+  const compute::ScalarKernel* kernel = kernels[0];
+  auto out_type = kernel->signature->out_type();
+  if (out_type.kind() != compute::OutputType::FIXED) {
+    return Status::Invalid("tabular kernel of non-fixed kind");
+  }
+  auto datatype = out_type.type();
+  if (datatype->id() != Type::type::STRUCT) {
+    return Status::Invalid("tabular kernel with non-struct output");
+  }
+  auto struct_type = 
arrow::internal::checked_cast<StructType*>(datatype.get());
+  auto schema = ::arrow::schema(struct_type->fields());
+  std::vector<TypeHolder> in_types;
+  ARROW_ASSIGN_OR_RAISE(auto func_exec,
+                        GetFunctionExecutor(func_name, in_types, NULLPTR, 
registry));
+  auto next_func =
+      [schema,
+       func_exec = std::move(func_exec)]() -> 
Result<std::shared_ptr<RecordBatch>> {
+    std::vector<Datum> args;
+    // passed_length of -1 or 0 with args.size() of 0 leads to an empty 
ExecSpanIterator
+    // in exec.cc and to never invoking the source function, so 1 is passed 
instead
+    ARROW_ASSIGN_OR_RAISE(auto datum, func_exec->Execute(args, 
/*passed_length=*/1));

Review Comment:
   #33612



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