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// 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 #include #include "arrow/status.h" #include "arrow/util/functional.h" #include "arrow/util/thread_pool.h" #include "arrow/util/vector.h" namespace arrow { namespace internal { // A parallelizer that takes a `Status(int)` function and calls it with // arguments between 0 and `num_tasks - 1`, on an arbitrary number of threads. template Status ParallelFor(int num_tasks, FUNCTION&& func, Executor* executor = internal::GetCpuThreadPool()) { std::vector> futures(num_tasks); for (int i = 0; i < num_tasks; ++i) { ARROW_ASSIGN_OR_RAISE(futures[i], executor->Submit(func, i)); } auto st = Status::OK(); for (auto& fut : futures) { st &= fut.status(); } return st; } template ::ValueType> Future> ParallelForAsync(std::vector inputs, FUNCTION&& func, Executor* executor = internal::GetCpuThreadPool(), TaskHints hints = TaskHints{}) { std::vector> futures(inputs.size()); for (size_t i = 0; i < inputs.size(); ++i) { ARROW_ASSIGN_OR_RAISE(futures[i], executor->Submit(hints, func, i, std::move(inputs[i]))); } return All(std::move(futures)) .Then([](const std::vector>& results) -> Result> { return UnwrapOrRaise(results); }); } // A parallelizer that takes a `Status(int)` function and calls it with // arguments between 0 and `num_tasks - 1`, in sequence or in parallel, // depending on the input boolean. template Status OptionalParallelFor(bool use_threads, int num_tasks, FUNCTION&& func, Executor* executor = internal::GetCpuThreadPool()) { if (use_threads) { return ParallelFor(num_tasks, std::forward(func), executor); } else { for (int i = 0; i < num_tasks; ++i) { RETURN_NOT_OK(func(i)); } return Status::OK(); } } // A parallelizer that takes a `Result(int index, T item)` function and // calls it with each item from the input array, in sequence or in parallel, // depending on the input boolean. template ::ValueType> Future> OptionalParallelForAsync( bool use_threads, std::vector inputs, FUNCTION&& func, Executor* executor = internal::GetCpuThreadPool(), TaskHints hints = TaskHints{}) { if (use_threads) { return ParallelForAsync(std::move(inputs), std::forward(func), executor, hints); } else { std::vector result(inputs.size()); for (size_t i = 0; i < inputs.size(); ++i) { ARROW_ASSIGN_OR_RAISE(result[i], func(i, inputs[i])); } return result; } } } // namespace internal } // namespace arrow