/* This Source Code Form is subject to the terms of the Mozilla Public * License, v. 2.0. If a copy of the MPL was not distributed with this * file, You can obtain one at http://mozilla.org/MPL/2.0/. */ // Overview // -------- // This file measures the speed of various implementations of C++ and Rust // collections (hash tables, etc.) used within the codebase. There are a small // number of benchmarks for each collection type; each benchmark tests certain // operations (insertion, lookup, iteration, etc.) More benchmarks could easily // be envisioned, but this small number is enough to characterize the major // differences between implementations, while keeping the file size and // complexity low. // // Details // ------- // The file uses `MOZ_GTEST_BENCH_F` so that results are integrated into // PerfHerder. It is also designed so that individual test benchmarks can be // run under a profiler. // // The C++ code uses `MOZ_RELEASE_ASSERT` extensively to check values and // ensure operations aren't optimized away by the compiler. The Rust code uses // `assert!()`. These should be roughly equivalent, but aren't guaranteed to be // the same. As a result, the intra-C++ comparisons should be reliable, and the // intra-Rust comparisons should be reliable, but the C++ vs. Rust comparisons // may be less reliable. // // Note that the Rust implementations run very slowly without --enable-release. // // Profiling // --------- // If you want to measure a particular implementation under a profiler such as // Callgrind, do something like this: // // MOZ_RUN_GTEST=1 GTEST_FILTER='*BenchCollections*$IMPL*' // valgrind --tool=callgrind --callgrind-out-file=clgout // $OBJDIR/dist/bin/firefox -unittest // callgrind_annotate --auto=yes clgout > clgann // // where $IMPL is part of an implementation name in a test (e.g. "PLDHash", // "MozHash") and $OBJDIR is an objdir containing a --enable-release build. // // Note that multiple processes are spawned, so `clgout` gets overwritten // multiple times, but the last process to write its profiling data to file is // the one of interest. (Alternatively, use --callgrind-out-file=clgout.%p to // get separate output files for each process, with a PID suffix.) #include "gtest/gtest.h" #include "gtest/MozGTestBench.h" // For MOZ_GTEST_BENCH #include "mozilla/AllocPolicy.h" #include "mozilla/ArrayUtils.h" #include "mozilla/HashFunctions.h" #include "mozilla/HashTable.h" #include "mozilla/StaticMutex.h" #include "mozilla/TimeStamp.h" #include "PLDHashTable.h" #include using namespace mozilla; // This function gives a pseudo-random sequence with the following properties: // - Deterministic and platform-independent. // - No duplicates in the first VALS_LEN results, which is useful for ensuring // the tables get to a particular size, and also for guaranteeing lookups // that fail. static uintptr_t MyRand() { static uintptr_t s = 0; s = s * 1103515245 + 12345; return s; } // Keep this in sync with Params in bench.rs. struct Params { const char* mConfigName; size_t mNumInserts; // Insert this many unique keys size_t mNumSuccessfulLookups; // Does mNumInserts lookups each time size_t mNumFailingLookups; // Does mNumInserts lookups each time size_t mNumIterations; // Iterates the full table each time bool mRemoveInserts; // Remove all entries at end? }; // We don't use std::unordered_{set,map}, but it's an interesting thing to // benchmark against. // // Keep this in sync with all the other Bench_*() functions. static void Bench_Cpp_unordered_set(const Params* aParams, void** aVals, size_t aLen) { std::unordered_set hs; for (size_t j = 0; j < aParams->mNumInserts; j++) { hs.insert(aVals[j]); } for (size_t i = 0; i < aParams->mNumSuccessfulLookups; i++) { for (size_t j = 0; j < aParams->mNumInserts; j++) { MOZ_RELEASE_ASSERT(hs.find(aVals[j]) != hs.end()); } } for (size_t i = 0; i < aParams->mNumFailingLookups; i++) { for (size_t j = aParams->mNumInserts; j < aParams->mNumInserts * 2; j++) { MOZ_RELEASE_ASSERT(hs.find(aVals[j]) == hs.end()); } } for (size_t i = 0; i < aParams->mNumIterations; i++) { size_t n = 0; for (const auto& elem : hs) { (void)elem; n++; } MOZ_RELEASE_ASSERT(aParams->mNumInserts == n); MOZ_RELEASE_ASSERT(hs.size() == n); } if (aParams->mRemoveInserts) { for (size_t j = 0; j < aParams->mNumInserts; j++) { MOZ_RELEASE_ASSERT(hs.erase(aVals[j]) == 1); } MOZ_RELEASE_ASSERT(hs.size() == 0); } else { MOZ_RELEASE_ASSERT(hs.size() == aParams->mNumInserts); } } // Keep this in sync with all the other Bench_*() functions. static void Bench_Cpp_PLDHashTable(const Params* aParams, void** aVals, size_t aLen) { PLDHashTable hs(PLDHashTable::StubOps(), sizeof(PLDHashEntryStub)); for (size_t j = 0; j < aParams->mNumInserts; j++) { auto entry = static_cast(hs.Add(aVals[j])); MOZ_RELEASE_ASSERT(!entry->key); entry->key = aVals[j]; } for (size_t i = 0; i < aParams->mNumSuccessfulLookups; i++) { for (size_t j = 0; j < aParams->mNumInserts; j++) { MOZ_RELEASE_ASSERT(hs.Search(aVals[j])); } } for (size_t i = 0; i < aParams->mNumFailingLookups; i++) { for (size_t j = aParams->mNumInserts; j < aParams->mNumInserts * 2; j++) { MOZ_RELEASE_ASSERT(!hs.Search(aVals[j])); } } for (size_t i = 0; i < aParams->mNumIterations; i++) { size_t n = 0; for (auto iter = hs.Iter(); !iter.Done(); iter.Next()) { n++; } MOZ_RELEASE_ASSERT(aParams->mNumInserts == n); MOZ_RELEASE_ASSERT(hs.EntryCount() == n); } if (aParams->mRemoveInserts) { for (size_t j = 0; j < aParams->mNumInserts; j++) { hs.Remove(aVals[j]); } MOZ_RELEASE_ASSERT(hs.EntryCount() == 0); } else { MOZ_RELEASE_ASSERT(hs.EntryCount() == aParams->mNumInserts); } } // Keep this in sync with all the other Bench_*() functions. static void Bench_Cpp_MozHashSet(const Params* aParams, void** aVals, size_t aLen) { mozilla::HashSet, MallocAllocPolicy> hs; for (size_t j = 0; j < aParams->mNumInserts; j++) { MOZ_RELEASE_ASSERT(hs.put(aVals[j])); } for (size_t i = 0; i < aParams->mNumSuccessfulLookups; i++) { for (size_t j = 0; j < aParams->mNumInserts; j++) { MOZ_RELEASE_ASSERT(hs.has(aVals[j])); } } for (size_t i = 0; i < aParams->mNumFailingLookups; i++) { for (size_t j = aParams->mNumInserts; j < aParams->mNumInserts * 2; j++) { MOZ_RELEASE_ASSERT(!hs.has(aVals[j])); } } for (size_t i = 0; i < aParams->mNumIterations; i++) { size_t n = 0; for (auto iter = hs.iter(); !iter.done(); iter.next()) { n++; } MOZ_RELEASE_ASSERT(aParams->mNumInserts == n); MOZ_RELEASE_ASSERT(hs.count() == n); } if (aParams->mRemoveInserts) { for (size_t j = 0; j < aParams->mNumInserts; j++) { hs.remove(aVals[j]); } MOZ_RELEASE_ASSERT(hs.count() == 0); } else { MOZ_RELEASE_ASSERT(hs.count() == aParams->mNumInserts); } } extern "C" { void Bench_Rust_HashSet(const Params* params, void** aVals, size_t aLen); void Bench_Rust_FnvHashSet(const Params* params, void** aVals, size_t aLen); void Bench_Rust_FxHashSet(const Params* params, void** aVals, size_t aLen); } static const size_t VALS_LEN = 131072; // Each benchmark measures a different aspect of performance. // Note that no "Inserts" value can exceed VALS_LEN. // Also, if any failing lookups are done, Inserts must be <= VALS_LEN/2. const Params gParamsList[] = { // clang-format off // Successful Failing Remove // Inserts lookups lookups Iterations inserts { "succ_lookups", 1024, 5000, 0, 0, false }, { "fail_lookups", 1024, 0, 5000, 0, false }, { "insert_remove", VALS_LEN, 0, 0, 0, true }, { "iterate", 1024, 0, 0, 5000, false }, // clang-format on }; class BenchCollections : public ::testing::Test { protected: void SetUp() override { StaticMutexAutoLock lock(sValsMutex); if (!sVals) { sVals = (void**)malloc(VALS_LEN * sizeof(void*)); for (size_t i = 0; i < VALS_LEN; i++) { // This leaves the high 32 bits zero on 64-bit platforms, but that // should still be enough randomness to get typical behaviour. sVals[i] = reinterpret_cast(uintptr_t(MyRand())); } } printf("\n"); for (size_t i = 0; i < ArrayLength(gParamsList); i++) { const Params* params = &gParamsList[i]; printf("%14s", params->mConfigName); } printf("%14s\n", "total"); } public: void BenchImpl(void (*aBench)(const Params*, void**, size_t)) { StaticMutexAutoLock lock(sValsMutex); double total = 0; for (size_t i = 0; i < ArrayLength(gParamsList); i++) { const Params* params = &gParamsList[i]; TimeStamp t1 = TimeStamp::Now(); aBench(params, sVals, VALS_LEN); TimeStamp t2 = TimeStamp::Now(); double t = (t2 - t1).ToMilliseconds(); printf("%11.1f ms", t); total += t; } printf("%11.1f ms\n", total); } private: // Random values used in the benchmarks. static void** sVals MOZ_GUARDED_BY(sValsMutex); // A mutex that protects all benchmark operations, ensuring that two // benchmarks never run concurrently. static StaticMutex sValsMutex; }; void** BenchCollections::sVals; StaticMutex BenchCollections::sValsMutex; MOZ_GTEST_BENCH_F(BenchCollections, unordered_set, [this] { BenchImpl(Bench_Cpp_unordered_set); }); MOZ_GTEST_BENCH_F(BenchCollections, PLDHash, [this] { BenchImpl(Bench_Cpp_PLDHashTable); }); MOZ_GTEST_BENCH_F(BenchCollections, MozHash, [this] { BenchImpl(Bench_Cpp_MozHashSet); }); MOZ_GTEST_BENCH_F(BenchCollections, RustHash, [this] { BenchImpl(Bench_Rust_HashSet); }); MOZ_GTEST_BENCH_F(BenchCollections, RustFnvHash, [this] { BenchImpl(Bench_Rust_FnvHashSet); }); MOZ_GTEST_BENCH_F(BenchCollections, RustFxHash, [this] { BenchImpl(Bench_Rust_FxHashSet); });