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17bc27741f
Summary: Currently it's easy to use a ton of memory with many small OptimisticTransactionDB instances, because each one by default allocates a million mutexes (40 bytes each on my compiler) for validating transactions. It even puts a lot of pressure on the allocator by allocating each one individually! In this change: * Create a new object and option that enables sharing these buckets of mutexes between instances. This is generally good for load balancing potential contention as various DBs become hotter or colder with txn writes. About the only cases where this sharing wouldn't make sense (e.g. each DB usually written by one thread) are cases that would be better off with OccValidationPolicy::kValidateSerial which doesn't use the buckets anyway. * Allocate the mutexes in a contiguous array, for efficiency * Add an option to ensure the mutexes are cache-aligned. In several other places we use cache-aligned mutexes but OptimisticTransactionDB historically does not. It should be a space-time trade-off the user can choose. * Provide some visibility into the memory used by the mutex buckets with an ApproximateMemoryUsage() function (also used in unit testing) * Share code with other users of "striped" mutexes, appropriate refactoring for customization & efficiency (e.g. using FastRange instead of modulus) Pull Request resolved: https://github.com/facebook/rocksdb/pull/11439 Test Plan: unit tests added. Ran sized-up versions of stress test in unit test, including a before-and-after performance test showing no consistent difference. (NOTE: OptimisticTransactionDB not currently covered by db_stress!) Reviewed By: ltamasi Differential Revision: D45796393 Pulled By: pdillinger fbshipit-source-id: ae2b3a26ad91ceeec15debcdc63ff48df6736a54
190 lines
5.4 KiB
C++
190 lines
5.4 KiB
C++
// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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//
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// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file. See the AUTHORS file for names of contributors.
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#pragma once
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#include <assert.h>
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#include <atomic>
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#include <functional>
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#include <memory>
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#include <mutex>
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#include <thread>
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#include "port/port.h"
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#include "util/fastrange.h"
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#include "util/hash.h"
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namespace ROCKSDB_NAMESPACE {
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// Helper class that locks a mutex on construction and unlocks the mutex when
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// the destructor of the MutexLock object is invoked.
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//
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// Typical usage:
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//
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// void MyClass::MyMethod() {
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// MutexLock l(&mu_); // mu_ is an instance variable
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// ... some complex code, possibly with multiple return paths ...
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// }
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class MutexLock {
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public:
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explicit MutexLock(port::Mutex *mu) : mu_(mu) { this->mu_->Lock(); }
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// No copying allowed
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MutexLock(const MutexLock &) = delete;
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void operator=(const MutexLock &) = delete;
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~MutexLock() { this->mu_->Unlock(); }
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private:
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port::Mutex *const mu_;
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};
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//
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// Acquire a ReadLock on the specified RWMutex.
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// The Lock will be automatically released when the
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// object goes out of scope.
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//
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class ReadLock {
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public:
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explicit ReadLock(port::RWMutex *mu) : mu_(mu) { this->mu_->ReadLock(); }
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// No copying allowed
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ReadLock(const ReadLock &) = delete;
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void operator=(const ReadLock &) = delete;
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~ReadLock() { this->mu_->ReadUnlock(); }
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private:
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port::RWMutex *const mu_;
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};
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//
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// Automatically unlock a locked mutex when the object is destroyed
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//
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class ReadUnlock {
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public:
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explicit ReadUnlock(port::RWMutex *mu) : mu_(mu) { mu->AssertHeld(); }
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// No copying allowed
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ReadUnlock(const ReadUnlock &) = delete;
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ReadUnlock &operator=(const ReadUnlock &) = delete;
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~ReadUnlock() { mu_->ReadUnlock(); }
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private:
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port::RWMutex *const mu_;
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};
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//
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// Acquire a WriteLock on the specified RWMutex.
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// The Lock will be automatically released then the
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// object goes out of scope.
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//
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class WriteLock {
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public:
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explicit WriteLock(port::RWMutex *mu) : mu_(mu) { this->mu_->WriteLock(); }
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// No copying allowed
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WriteLock(const WriteLock &) = delete;
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void operator=(const WriteLock &) = delete;
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~WriteLock() { this->mu_->WriteUnlock(); }
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private:
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port::RWMutex *const mu_;
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};
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//
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// SpinMutex has very low overhead for low-contention cases. Method names
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// are chosen so you can use std::unique_lock or std::lock_guard with it.
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//
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class SpinMutex {
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public:
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SpinMutex() : locked_(false) {}
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bool try_lock() {
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auto currently_locked = locked_.load(std::memory_order_relaxed);
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return !currently_locked &&
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locked_.compare_exchange_weak(currently_locked, true,
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std::memory_order_acquire,
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std::memory_order_relaxed);
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}
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void lock() {
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for (size_t tries = 0;; ++tries) {
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if (try_lock()) {
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// success
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break;
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}
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port::AsmVolatilePause();
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if (tries > 100) {
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std::this_thread::yield();
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}
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}
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}
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void unlock() { locked_.store(false, std::memory_order_release); }
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private:
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std::atomic<bool> locked_;
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};
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// For preventing false sharing, especially for mutexes.
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// NOTE: if a mutex is less than half the size of a cache line, it would
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// make more sense for Striped structure below to pack more than one mutex
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// into each cache line, as this would only reduce contention for the same
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// amount of space and cache sharing. However, a mutex is often 40 bytes out
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// of a 64 byte cache line.
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template <class T>
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struct ALIGN_AS(CACHE_LINE_SIZE) CacheAlignedWrapper {
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T obj_;
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};
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template <class T>
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struct Unwrap {
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using type = T;
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static type &Go(T &t) { return t; }
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};
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template <class T>
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struct Unwrap<CacheAlignedWrapper<T>> {
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using type = T;
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static type &Go(CacheAlignedWrapper<T> &t) { return t.obj_; }
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};
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//
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// Inspired by Guava: https://github.com/google/guava/wiki/StripedExplained
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// A striped Lock. This offers the underlying lock striping similar
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// to that of ConcurrentHashMap in a reusable form, and extends it for
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// semaphores and read-write locks. Conceptually, lock striping is the technique
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// of dividing a lock into many <i>stripes</i>, increasing the granularity of a
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// single lock and allowing independent operations to lock different stripes and
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// proceed concurrently, instead of creating contention for a single lock.
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//
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template <class T, class Key = Slice, class Hash = SliceNPHasher64>
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class Striped {
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public:
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explicit Striped(size_t stripe_count)
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: stripe_count_(stripe_count), data_(new T[stripe_count]) {}
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using Unwrapped = typename Unwrap<T>::type;
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Unwrapped &Get(const Key &key, uint64_t seed = 0) {
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size_t index = FastRangeGeneric(hash_(key, seed), stripe_count_);
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return Unwrap<T>::Go(data_[index]);
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}
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size_t ApproximateMemoryUsage() const {
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// NOTE: could use malloc_usable_size() here, but that could count unmapped
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// pages and could mess up unit test OccLockBucketsTest::CacheAligned
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return sizeof(*this) + stripe_count_ * sizeof(T);
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}
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private:
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size_t stripe_count_;
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std::unique_ptr<T[]> data_;
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Hash hash_;
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};
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} // namespace ROCKSDB_NAMESPACE
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