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ARROW-10655: [C++] Add cache and memoization facility #8716
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,146 @@ | ||
| // 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. | ||
|
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| #include "benchmark/benchmark.h" | ||
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| #include <cstdint> | ||
| #include <string> | ||
| #include <vector> | ||
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| #include "arrow/array.h" | ||
| #include "arrow/testing/random.h" | ||
| #include "arrow/util/cache_internal.h" | ||
| #include "arrow/util/checked_cast.h" | ||
| #include "arrow/util/logging.h" | ||
| #include "arrow/util/macros.h" | ||
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| namespace arrow { | ||
| namespace internal { | ||
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| static constexpr int32_t kCacheSize = 100; | ||
| static constexpr int32_t kSmallKeyLength = 8; | ||
| static constexpr int32_t kLargeKeyLength = 64; | ||
| static constexpr int32_t kSmallValueLength = 16; | ||
| static constexpr int32_t kLargeValueLength = 1024; | ||
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| static std::vector<std::string> MakeStrings(int64_t nvalues, int64_t min_length, | ||
| int64_t max_length) { | ||
| auto rng = ::arrow::random::RandomArrayGenerator(42); | ||
| auto arr = checked_pointer_cast<StringArray>(rng.String( | ||
| nvalues, static_cast<int32_t>(min_length), static_cast<int32_t>(max_length))); | ||
| std::vector<std::string> vec(nvalues); | ||
| for (int64_t i = 0; i < nvalues; ++i) { | ||
| vec[i] = arr->GetString(i); | ||
| } | ||
| return vec; | ||
| } | ||
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| static std::vector<std::string> MakeStrings(int64_t nvalues, int64_t length) { | ||
| return MakeStrings(nvalues, length, length); | ||
| } | ||
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| template <typename Cache, typename Key, typename Value> | ||
| static void BenchmarkCacheLookups(benchmark::State& state, const std::vector<Key>& keys, | ||
| const std::vector<Value>& values) { | ||
| const int32_t nitems = static_cast<int32_t>(keys.size()); | ||
| Cache cache(nitems); | ||
| for (int32_t i = 0; i < nitems; ++i) { | ||
| cache.Replace(keys[i], values[i]); | ||
| } | ||
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| for (auto _ : state) { | ||
| int64_t nfinds = 0; | ||
| for (const auto& key : keys) { | ||
| nfinds += (cache.Find(key) != nullptr); | ||
| } | ||
| benchmark::DoNotOptimize(nfinds); | ||
| ARROW_CHECK_EQ(nfinds, nitems); | ||
| } | ||
| state.SetItemsProcessed(state.iterations() * nitems); | ||
| } | ||
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| static void LruCacheLookup(benchmark::State& state) { | ||
| const auto keys = MakeStrings(kCacheSize, state.range(0)); | ||
| const auto values = MakeStrings(kCacheSize, state.range(1)); | ||
| BenchmarkCacheLookups<LruCache<std::string, std::string>>(state, keys, values); | ||
| } | ||
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| static void SetCacheArgs(benchmark::internal::Benchmark* bench) { | ||
| bench->Args({kSmallKeyLength, kSmallValueLength}); | ||
| bench->Args({kSmallKeyLength, kLargeValueLength}); | ||
| bench->Args({kLargeKeyLength, kSmallValueLength}); | ||
| bench->Args({kLargeKeyLength, kLargeValueLength}); | ||
| } | ||
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| BENCHMARK(LruCacheLookup)->Apply(SetCacheArgs); | ||
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| struct Callable { | ||
| explicit Callable(std::vector<std::string> values) | ||
| : index_(0), values_(std::move(values)) {} | ||
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| std::string operator()(const std::string& key) { | ||
| // Return a value unrelated to the key | ||
| if (++index_ >= static_cast<int64_t>(values_.size())) { | ||
| index_ = 0; | ||
| } | ||
| return values_[index_]; | ||
| } | ||
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| private: | ||
| int64_t index_; | ||
| std::vector<std::string> values_; | ||
| }; | ||
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| template <typename Memoized> | ||
| static void BenchmarkMemoize(benchmark::State& state, Memoized&& mem, | ||
| const std::vector<std::string>& keys) { | ||
| // Prime memoization cache | ||
| for (const auto& key : keys) { | ||
| mem(key); | ||
| } | ||
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| for (auto _ : state) { | ||
| int64_t nbytes = 0; | ||
| for (const auto& key : keys) { | ||
| nbytes += static_cast<int64_t>(mem(key).length()); | ||
| } | ||
| benchmark::DoNotOptimize(nbytes); | ||
| } | ||
| state.SetItemsProcessed(state.iterations() * keys.size()); | ||
| } | ||
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| static void MemoizeLruCached(benchmark::State& state) { | ||
| const auto keys = MakeStrings(kCacheSize, state.range(0)); | ||
| const auto values = MakeStrings(kCacheSize, state.range(1)); | ||
| auto mem = MemoizeLru(Callable(values), kCacheSize); | ||
| BenchmarkMemoize(state, mem, keys); | ||
| } | ||
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| static void MemoizeLruCachedThreadUnsafe(benchmark::State& state) { | ||
| const auto keys = MakeStrings(kCacheSize, state.range(0)); | ||
| const auto values = MakeStrings(kCacheSize, state.range(1)); | ||
| // Emulate recommended usage of MemoizeLruCachedThreadUnsafe | ||
| // (the compiler is probably able to cache the TLS-looked up value, though) | ||
| thread_local auto mem = MemoizeLruThreadUnsafe(Callable(values), kCacheSize); | ||
| BenchmarkMemoize(state, mem, keys); | ||
| } | ||
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| BENCHMARK(MemoizeLruCached)->Apply(SetCacheArgs); | ||
| BENCHMARK(MemoizeLruCachedThreadUnsafe)->Apply(SetCacheArgs); | ||
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| } // namespace internal | ||
| } // namespace arrow | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,210 @@ | ||
| // 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. | ||
|
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| #pragma once | ||
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| #include <functional> | ||
| #include <list> | ||
| #include <memory> | ||
| #include <mutex> | ||
| #include <type_traits> | ||
| #include <unordered_map> | ||
| #include <utility> | ||
| #include <vector> | ||
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| #include "arrow/util/functional.h" | ||
| #include "arrow/util/logging.h" | ||
| #include "arrow/util/macros.h" | ||
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| namespace arrow { | ||
| namespace internal { | ||
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| // A LRU (Least recently used) replacement cache | ||
| template <typename Key, typename Value> | ||
| class LruCache { | ||
| public: | ||
| explicit LruCache(int32_t capacity) : capacity_(capacity) { | ||
| // The map size can temporarily exceed the cache capacity, see Replace() | ||
| map_.reserve(capacity_ + 1); | ||
| } | ||
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| ARROW_DISALLOW_COPY_AND_ASSIGN(LruCache); | ||
| ARROW_DEFAULT_MOVE_AND_ASSIGN(LruCache); | ||
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| void Clear() { | ||
| items_.clear(); | ||
| map_.clear(); | ||
| // The C++ spec doesn't tell whether map_.clear() will shrink the map capacity | ||
| map_.reserve(capacity_ + 1); | ||
| } | ||
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| int32_t size() const { | ||
| DCHECK_EQ(items_.size(), map_.size()); | ||
| return static_cast<int32_t>(items_.size()); | ||
| } | ||
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| template <typename K> | ||
| Value* Find(K&& key) { | ||
| const auto it = map_.find(key); | ||
| if (it == map_.end()) { | ||
| return nullptr; | ||
| } else { | ||
| // Found => move item at front of the list | ||
| auto list_it = it->second; | ||
| items_.splice(items_.begin(), items_, list_it); | ||
| return &list_it->value; | ||
| } | ||
| } | ||
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| template <typename K, typename V> | ||
| std::pair<bool, Value*> Replace(K&& key, V&& value) { | ||
| // Try to insert temporary iterator | ||
| auto pair = map_.emplace(std::forward<K>(key), ListIt{}); | ||
| const auto it = pair.first; | ||
| const bool inserted = pair.second; | ||
| if (inserted) { | ||
| // Inserted => push item at front of the list, and update iterator | ||
| items_.push_front(Item{&it->first, std::forward<V>(value)}); | ||
| it->second = items_.begin(); | ||
| // Did we exceed the cache capacity? If so, remove least recently used item | ||
| if (static_cast<int32_t>(items_.size()) > capacity_) { | ||
| const bool erased = map_.erase(*items_.back().key); | ||
| DCHECK(erased); | ||
| ARROW_UNUSED(erased); | ||
| items_.pop_back(); | ||
| } | ||
| return {true, &it->second->value}; | ||
| } else { | ||
| // Already exists => move item at front of the list, and update value | ||
| auto list_it = it->second; | ||
| items_.splice(items_.begin(), items_, list_it); | ||
| list_it->value = std::forward<V>(value); | ||
| return {false, &list_it->value}; | ||
| } | ||
| } | ||
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| private: | ||
| struct Item { | ||
| // Pointer to the key inside the unordered_map | ||
| const Key* key; | ||
| Value value; | ||
| }; | ||
| using List = std::list<Item>; | ||
| using ListIt = typename List::iterator; | ||
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| const int32_t capacity_; | ||
| // In most to least recently used order | ||
| std::list<Item> items_; | ||
| std::unordered_map<Key, ListIt> map_; | ||
| }; | ||
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| namespace detail { | ||
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| template <typename Key, typename Value, typename Cache, typename Func> | ||
| struct ThreadSafeMemoizer { | ||
| using RetType = Value; | ||
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| template <typename F> | ||
| ThreadSafeMemoizer(F&& func, int32_t cache_capacity) | ||
| : func_(std::forward<F>(func)), cache_(cache_capacity) {} | ||
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| // The memoizer can't return a pointer to the cached value, because | ||
| // the cache entry may be evicted by another thread. | ||
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| Value operator()(const Key& key) { | ||
| std::unique_lock<std::mutex> lock(mutex_); | ||
| const Value* value_ptr; | ||
| value_ptr = cache_.Find(key); | ||
| if (ARROW_PREDICT_TRUE(value_ptr != nullptr)) { | ||
| return *value_ptr; | ||
| } | ||
| lock.unlock(); | ||
| Value v = func_(key); | ||
| lock.lock(); | ||
| return *cache_.Replace(key, std::move(v)).second; | ||
| } | ||
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| private: | ||
| std::mutex mutex_; | ||
| Func func_; | ||
| Cache cache_; | ||
| }; | ||
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| template <typename Key, typename Value, typename Cache, typename Func> | ||
| struct ThreadUnsafeMemoizer { | ||
| using RetType = const Value&; | ||
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| template <typename F> | ||
| ThreadUnsafeMemoizer(F&& func, int32_t cache_capacity) | ||
| : func_(std::forward<F>(func)), cache_(cache_capacity) {} | ||
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| const Value& operator()(const Key& key) { | ||
| const Value* value_ptr; | ||
| value_ptr = cache_.Find(key); | ||
| if (ARROW_PREDICT_TRUE(value_ptr != nullptr)) { | ||
| return *value_ptr; | ||
| } | ||
| return *cache_.Replace(key, func_(key)).second; | ||
| } | ||
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| private: | ||
| Func func_; | ||
| Cache cache_; | ||
| }; | ||
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| template <template <typename...> class Cache, template <typename...> class MemoizerType, | ||
| typename Func, | ||
| typename Key = typename std::decay<call_traits::argument_type<0, Func>>::type, | ||
| typename Value = typename std::decay<call_traits::return_type<Func>>::type, | ||
| typename Memoizer = MemoizerType<Key, Value, Cache<Key, Value>, Func>, | ||
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|
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| typename RetType = typename Memoizer::RetType> | ||
| static std::function<RetType(const Key&)> Memoize(Func&& func, int32_t cache_capacity) { | ||
| // std::function<> requires copy constructibility | ||
| struct { | ||
| RetType operator()(const Key& key) const { return (*memoized_)(key); } | ||
| std::shared_ptr<Memoizer> memoized_; | ||
| } shared_memoized = { | ||
| std::make_shared<Memoizer>(std::forward<Func>(func), cache_capacity)}; | ||
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| return shared_memoized; | ||
| } | ||
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| } // namespace detail | ||
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| // Apply a LRU memoization cache to a callable. | ||
| template <typename Func> | ||
| static auto MemoizeLru(Func&& func, int32_t cache_capacity) | ||
| -> decltype(detail::Memoize<LruCache, detail::ThreadSafeMemoizer>( | ||
| std::forward<Func>(func), cache_capacity)) { | ||
| return detail::Memoize<LruCache, detail::ThreadSafeMemoizer>(std::forward<Func>(func), | ||
| cache_capacity); | ||
| } | ||
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| // Like MemoizeLru, but not thread-safe. This version allows for much faster | ||
| // lookups (more than 2x faster), but you'll have to manage thread safety yourself. | ||
| // A recommended usage is to declare per-thread caches using `thread_local` | ||
| // (see cache_benchmark.cc). | ||
| template <typename Func> | ||
| static auto MemoizeLruThreadUnsafe(Func&& func, int32_t cache_capacity) | ||
| -> decltype(detail::Memoize<LruCache, detail::ThreadUnsafeMemoizer>( | ||
| std::forward<Func>(func), cache_capacity)) { | ||
| return detail::Memoize<LruCache, detail::ThreadUnsafeMemoizer>(std::forward<Func>(func), | ||
| cache_capacity); | ||
| } | ||
|
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| } // namespace internal | ||
| } // namespace arrow | ||
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I'd also be interested to see benchmarks where the size of the string set is
kCacheSize * [0.5, 0.9, 1.1, 2]There was a problem hiding this comment.
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In this benchmark I'm mostly interested in measuring the overhead of the memoize pattern rather the LRU cache itself. I don't think varying the size of the string set would vary the measured overhead.
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If the string set is exactly as large as the cache then the only overhead you're measuring is promotion inside a static set. By contrast if the string set is larger than the cast you will measure the cost of replacement as well. The latter seems useful to know when deciding how large to make a cache, since it represents the penalty for guessing too low.