// Copyright (c) 2011-present, Facebook, Inc. All rights reserved. // This source code is licensed under both the GPLv2 (found in the // COPYING file in the root directory) and Apache 2.0 License // (found in the LICENSE.Apache file in the root directory). // // Copyright (c) 2011 The LevelDB Authors. All rights reserved. // Use of this source code is governed by a BSD-style license that can be // found in the LICENSE file. See the AUTHORS file for names of contributors. #include "cache/clock_cache.h" #ifndef SUPPORT_CLOCK_CACHE namespace ROCKSDB_NAMESPACE { std::shared_ptr NewClockCache( size_t /*capacity*/, int /*num_shard_bits*/, bool /*strict_capacity_limit*/, CacheMetadataChargePolicy /*metadata_charge_policy*/) { // Clock cache not supported. return nullptr; } } // namespace ROCKSDB_NAMESPACE #else #include #include #include // "tbb/concurrent_hash_map.h" requires RTTI if exception is enabled. // Disable it so users can chooose to disable RTTI. #ifndef ROCKSDB_USE_RTTI #define TBB_USE_EXCEPTIONS 0 #endif #include "tbb/concurrent_hash_map.h" #include "cache/sharded_cache.h" #include "port/malloc.h" #include "port/port.h" #include "util/autovector.h" #include "util/mutexlock.h" namespace ROCKSDB_NAMESPACE { namespace { // An implementation of the Cache interface based on CLOCK algorithm, with // better concurrent performance than LRUCache. The idea of CLOCK algorithm // is to maintain all cache entries in a circular list, and an iterator // (the "head") pointing to the last examined entry. Eviction starts from the // current head. Each entry is given a second chance before eviction, if it // has been access since last examine. In contrast to LRU, no modification // to the internal data-structure (except for flipping the usage bit) needs // to be done upon lookup. This gives us oppertunity to implement a cache // with better concurrency. // // Each cache entry is represented by a cache handle, and all the handles // are arranged in a circular list, as describe above. Upon erase of an entry, // we never remove the handle. Instead, the handle is put into a recycle bin // to be re-use. This is to avoid memory dealocation, which is hard to deal // with in concurrent environment. // // The cache also maintains a concurrent hash map for lookup. Any concurrent // hash map implementation should do the work. We currently use // tbb::concurrent_hash_map because it supports concurrent erase. // // Each cache handle has the following flags and counters, which are squeeze // in an atomic interger, to make sure the handle always be in a consistent // state: // // * In-cache bit: whether the entry is reference by the cache itself. If // an entry is in cache, its key would also be available in the hash map. // * Usage bit: whether the entry has been access by user since last // examine for eviction. Can be reset by eviction. // * Reference count: reference count by user. // // An entry can be reference only when it's in cache. An entry can be evicted // only when it is in cache, has no usage since last examine, and reference // count is zero. // // The follow figure shows a possible layout of the cache. Boxes represents // cache handles and numbers in each box being in-cache bit, usage bit and // reference count respectively. // // hash map: // +-------+--------+ // | key | handle | // +-------+--------+ // | "foo" | 5 |-------------------------------------+ // +-------+--------+ | // | "bar" | 2 |--+ | // +-------+--------+ | | // | | // head | | // | | | // circular list: | | | // +-------+ +-------+ +-------+ +-------+ +-------+ +------- // |(0,0,0)|---|(1,1,0)|---|(0,0,0)|---|(0,1,3)|---|(1,0,0)|---| ... // +-------+ +-------+ +-------+ +-------+ +-------+ +------- // | | // +-------+ +-----------+ // | | // +---+---+ // recycle bin: | 1 | 3 | // +---+---+ // // Suppose we try to insert "baz" into the cache at this point and the cache is // full. The cache will first look for entries to evict, starting from where // head points to (the second entry). It resets usage bit of the second entry, // skips the third and fourth entry since they are not in cache, and finally // evict the fifth entry ("foo"). It looks at recycle bin for available handle, // grabs handle 3, and insert the key into the handle. The following figure // shows the resulting layout. // // hash map: // +-------+--------+ // | key | handle | // +-------+--------+ // | "baz" | 3 |-------------+ // +-------+--------+ | // | "bar" | 2 |--+ | // +-------+--------+ | | // | | // | | head // | | | // circular list: | | | // +-------+ +-------+ +-------+ +-------+ +-------+ +------- // |(0,0,0)|---|(1,0,0)|---|(1,0,0)|---|(0,1,3)|---|(0,0,0)|---| ... // +-------+ +-------+ +-------+ +-------+ +-------+ +------- // | | // +-------+ +-----------------------------------+ // | | // +---+---+ // recycle bin: | 1 | 5 | // +---+---+ // // A global mutex guards the circular list, the head, and the recycle bin. // We additionally require that modifying the hash map needs to hold the mutex. // As such, Modifying the cache (such as Insert() and Erase()) require to // hold the mutex. Lookup() only access the hash map and the flags associated // with each handle, and don't require explicit locking. Release() has to // acquire the mutex only when it releases the last reference to the entry and // the entry has been erased from cache explicitly. A future improvement could // be to remove the mutex completely. // // Benchmark: // We run readrandom db_bench on a test DB of size 13GB, with size of each // level: // // Level Files Size(MB) // ------------------------- // L0 1 0.01 // L1 18 17.32 // L2 230 182.94 // L3 1186 1833.63 // L4 4602 8140.30 // // We test with both 32 and 16 read threads, with 2GB cache size (the whole DB // doesn't fits in) and 64GB cache size (the whole DB can fit in cache), and // whether to put index and filter blocks in block cache. The benchmark runs // with // with RocksDB 4.10. We got the following result: // // Threads Cache Cache ClockCache LRUCache // Size Index/Filter Throughput(MB/s) Hit Throughput(MB/s) Hit // 32 2GB yes 466.7 85.9% 433.7 86.5% // 32 2GB no 529.9 72.7% 532.7 73.9% // 32 64GB yes 649.9 99.9% 507.9 99.9% // 32 64GB no 740.4 99.9% 662.8 99.9% // 16 2GB yes 278.4 85.9% 283.4 86.5% // 16 2GB no 318.6 72.7% 335.8 73.9% // 16 64GB yes 391.9 99.9% 353.3 99.9% // 16 64GB no 433.8 99.8% 419.4 99.8% // Cache entry meta data. struct CacheHandle { Slice key; void* value; size_t charge; void (*deleter)(const Slice&, void* value); uint32_t hash; // Addition to "charge" to get "total charge" under metadata policy. uint32_t meta_charge; // Flags and counters associated with the cache handle: // lowest bit: in-cache bit // second lowest bit: usage bit // the rest bits: reference count // The handle is unused when flags equals to 0. The thread decreases the count // to 0 is responsible to put the handle back to recycle_ and cleanup memory. std::atomic flags; CacheHandle() = default; CacheHandle(const CacheHandle& a) { *this = a; } CacheHandle(const Slice& k, void* v, void (*del)(const Slice& key, void* value)) : key(k), value(v), deleter(del) {} CacheHandle& operator=(const CacheHandle& a) { // Only copy members needed for deletion. key = a.key; value = a.value; deleter = a.deleter; return *this; } inline static uint32_t CalcMetadataCharge( Slice key, CacheMetadataChargePolicy metadata_charge_policy) { size_t meta_charge = 0; if (metadata_charge_policy == kFullChargeCacheMetadata) { meta_charge += sizeof(CacheHandle); #ifdef ROCKSDB_MALLOC_USABLE_SIZE meta_charge += malloc_usable_size(static_cast(const_cast(key.data()))); #else meta_charge += key.size(); #endif } assert(meta_charge <= UINT32_MAX); return static_cast(meta_charge); } inline size_t GetTotalCharge() { return charge + meta_charge; } }; // Key of hash map. We store hash value with the key for convenience. struct CacheKey { Slice key; uint32_t hash_value; CacheKey() = default; CacheKey(const Slice& k, uint32_t h) { key = k; hash_value = h; } static bool equal(const CacheKey& a, const CacheKey& b) { return a.hash_value == b.hash_value && a.key == b.key; } static size_t hash(const CacheKey& a) { return static_cast(a.hash_value); } }; struct CleanupContext { // List of values to be deleted, along with the key and deleter. autovector to_delete_value; // List of keys to be deleted. autovector to_delete_key; }; // A cache shard which maintains its own CLOCK cache. class ClockCacheShard final : public CacheShard { public: // Hash map type. typedef tbb::concurrent_hash_map HashTable; ClockCacheShard(); ~ClockCacheShard() override; // Interfaces void SetCapacity(size_t capacity) override; void SetStrictCapacityLimit(bool strict_capacity_limit) override; Status Insert(const Slice& key, uint32_t hash, void* value, size_t charge, void (*deleter)(const Slice& key, void* value), Cache::Handle** handle, Cache::Priority priority) override; Status Insert(const Slice& key, uint32_t hash, void* value, const Cache::CacheItemHelper* helper, size_t charge, Cache::Handle** handle, Cache::Priority priority) override { return Insert(key, hash, value, charge, helper->del_cb, handle, priority); } Cache::Handle* Lookup(const Slice& key, uint32_t hash) override; Cache::Handle* Lookup(const Slice& key, uint32_t hash, const Cache::CacheItemHelper* /*helper*/, const Cache::CreateCallback& /*create_cb*/, Cache::Priority /*priority*/, bool /*wait*/) override { return Lookup(key, hash); } bool Release(Cache::Handle* handle, bool /*useful*/, bool force_erase) override { return Release(handle, force_erase); } bool IsReady(Cache::Handle* /*handle*/) override { return true; } void Wait(Cache::Handle* /*handle*/) override {} // If the entry in in cache, increase reference count and return true. // Return false otherwise. // // Not necessary to hold mutex_ before being called. bool Ref(Cache::Handle* handle) override; bool Release(Cache::Handle* handle, bool force_erase = false) override; void Erase(const Slice& key, uint32_t hash) override; bool EraseAndConfirm(const Slice& key, uint32_t hash, CleanupContext* context); size_t GetUsage() const override; size_t GetPinnedUsage() const override; void EraseUnRefEntries() override; void ApplyToSomeEntries( const std::function& callback, uint32_t average_entries_per_lock, uint32_t* state) override; private: static const uint32_t kInCacheBit = 1; static const uint32_t kUsageBit = 2; static const uint32_t kRefsOffset = 2; static const uint32_t kOneRef = 1 << kRefsOffset; // Helper functions to extract cache handle flags and counters. static bool InCache(uint32_t flags) { return flags & kInCacheBit; } static bool HasUsage(uint32_t flags) { return flags & kUsageBit; } static uint32_t CountRefs(uint32_t flags) { return flags >> kRefsOffset; } // Decrease reference count of the entry. If this decreases the count to 0, // recycle the entry. If set_usage is true, also set the usage bit. // // returns true if a value is erased. // // Not necessary to hold mutex_ before being called. bool Unref(CacheHandle* handle, bool set_usage, CleanupContext* context); // Unset in-cache bit of the entry. Recycle the handle if necessary. // // returns true if a value is erased. // // Has to hold mutex_ before being called. bool UnsetInCache(CacheHandle* handle, CleanupContext* context); // Put the handle back to recycle_ list, and put the value associated with // it into to-be-deleted list. It doesn't cleanup the key as it might be // reused by another handle. // // Has to hold mutex_ before being called. void RecycleHandle(CacheHandle* handle, CleanupContext* context); // Delete keys and values in to-be-deleted list. Call the method without // holding mutex, as destructors can be expensive. void Cleanup(const CleanupContext& context); // Examine the handle for eviction. If the handle is in cache, usage bit is // not set, and referece count is 0, evict it from cache. Otherwise unset // the usage bit. // // Has to hold mutex_ before being called. bool TryEvict(CacheHandle* value, CleanupContext* context); // Scan through the circular list, evict entries until we get enough capacity // for new cache entry of specific size. Return true if success, false // otherwise. // // Has to hold mutex_ before being called. bool EvictFromCache(size_t charge, CleanupContext* context); CacheHandle* Insert(const Slice& key, uint32_t hash, void* value, size_t change, void (*deleter)(const Slice& key, void* value), bool hold_reference, CleanupContext* context, bool* overwritten); // Guards list_, head_, and recycle_. In addition, updating table_ also has // to hold the mutex, to avoid the cache being in inconsistent state. mutable port::Mutex mutex_; // The circular list of cache handles. Initially the list is empty. Once a // handle is needed by insertion, and no more handles are available in // recycle bin, one more handle is appended to the end. // // We use std::deque for the circular list because we want to make sure // pointers to handles are valid through out the life-cycle of the cache // (in contrast to std::vector), and be able to grow the list (in contrast // to statically allocated arrays). std::deque list_; // Pointer to the next handle in the circular list to be examine for // eviction. size_t head_; // Recycle bin of cache handles. autovector recycle_; // Maximum cache size. std::atomic capacity_; // Current total size of the cache. std::atomic usage_; // Total un-released cache size. std::atomic pinned_usage_; // Whether allow insert into cache if cache is full. std::atomic strict_capacity_limit_; // Hash table (tbb::concurrent_hash_map) for lookup. HashTable table_; }; ClockCacheShard::ClockCacheShard() : head_(0), usage_(0), pinned_usage_(0), strict_capacity_limit_(false) {} ClockCacheShard::~ClockCacheShard() { for (auto& handle : list_) { uint32_t flags = handle.flags.load(std::memory_order_relaxed); if (InCache(flags) || CountRefs(flags) > 0) { if (handle.deleter != nullptr) { (*handle.deleter)(handle.key, handle.value); } delete[] handle.key.data(); } } } size_t ClockCacheShard::GetUsage() const { return usage_.load(std::memory_order_relaxed); } size_t ClockCacheShard::GetPinnedUsage() const { return pinned_usage_.load(std::memory_order_relaxed); } void ClockCacheShard::ApplyToSomeEntries( const std::function& callback, uint32_t average_entries_per_lock, uint32_t* state) { assert(average_entries_per_lock > 0); MutexLock lock(&mutex_); // Figure out the range to iterate, update `state` size_t list_size = list_.size(); size_t start_idx = *state; size_t end_idx = start_idx + average_entries_per_lock; if (start_idx > list_size) { // Shouldn't reach here, but recoverable assert(false); // Mark finished with all *state = UINT32_MAX; return; } if (end_idx >= list_size || end_idx >= UINT32_MAX) { // This also includes the hypothetical case of >4 billion // cache handles. end_idx = list_size; // Mark finished with all *state = UINT32_MAX; } else { *state = static_cast(end_idx); } // Do the iteration auto cur = list_.begin() + start_idx; auto end = list_.begin() + end_idx; for (; cur != end; ++cur) { const CacheHandle& handle = *cur; // Use relaxed semantics instead of acquire semantics since we are // holding mutex uint32_t flags = handle.flags.load(std::memory_order_relaxed); if (InCache(flags)) { callback(handle.key, handle.value, handle.charge, handle.deleter); } } } void ClockCacheShard::RecycleHandle(CacheHandle* handle, CleanupContext* context) { mutex_.AssertHeld(); assert(!InCache(handle->flags) && CountRefs(handle->flags) == 0); context->to_delete_key.push_back(handle->key.data()); context->to_delete_value.emplace_back(*handle); size_t total_charge = handle->GetTotalCharge(); // clearing `handle` fields would go here but not strictly required recycle_.push_back(handle); usage_.fetch_sub(total_charge, std::memory_order_relaxed); } void ClockCacheShard::Cleanup(const CleanupContext& context) { for (const CacheHandle& handle : context.to_delete_value) { if (handle.deleter) { (*handle.deleter)(handle.key, handle.value); } } for (const char* key : context.to_delete_key) { delete[] key; } } bool ClockCacheShard::Ref(Cache::Handle* h) { auto handle = reinterpret_cast(h); // CAS loop to increase reference count. uint32_t flags = handle->flags.load(std::memory_order_relaxed); while (InCache(flags)) { // Use acquire semantics on success, as further operations on the cache // entry has to be order after reference count is increased. if (handle->flags.compare_exchange_weak(flags, flags + kOneRef, std::memory_order_acquire, std::memory_order_relaxed)) { if (CountRefs(flags) == 0) { // No reference count before the operation. size_t total_charge = handle->GetTotalCharge(); pinned_usage_.fetch_add(total_charge, std::memory_order_relaxed); } return true; } } return false; } bool ClockCacheShard::Unref(CacheHandle* handle, bool set_usage, CleanupContext* context) { if (set_usage) { handle->flags.fetch_or(kUsageBit, std::memory_order_relaxed); } // If the handle reaches state refs=0 and InCache=true after this // atomic operation then we cannot access `handle` afterward, because // it could be evicted before we access the `handle`. size_t total_charge = handle->GetTotalCharge(); // Use acquire-release semantics as previous operations on the cache entry // has to be order before reference count is decreased, and potential cleanup // of the entry has to be order after. uint32_t flags = handle->flags.fetch_sub(kOneRef, std::memory_order_acq_rel); assert(CountRefs(flags) > 0); if (CountRefs(flags) == 1) { // this is the last reference. pinned_usage_.fetch_sub(total_charge, std::memory_order_relaxed); // Cleanup if it is the last reference. if (!InCache(flags)) { MutexLock l(&mutex_); RecycleHandle(handle, context); } } return context->to_delete_value.size(); } bool ClockCacheShard::UnsetInCache(CacheHandle* handle, CleanupContext* context) { mutex_.AssertHeld(); // Use acquire-release semantics as previous operations on the cache entry // has to be order before reference count is decreased, and potential cleanup // of the entry has to be order after. uint32_t flags = handle->flags.fetch_and(~kInCacheBit, std::memory_order_acq_rel); // Cleanup if it is the last reference. if (InCache(flags) && CountRefs(flags) == 0) { RecycleHandle(handle, context); } return context->to_delete_value.size(); } bool ClockCacheShard::TryEvict(CacheHandle* handle, CleanupContext* context) { mutex_.AssertHeld(); uint32_t flags = kInCacheBit; if (handle->flags.compare_exchange_strong(flags, 0, std::memory_order_acquire, std::memory_order_relaxed)) { bool erased __attribute__((__unused__)) = table_.erase(CacheKey(handle->key, handle->hash)); assert(erased); RecycleHandle(handle, context); return true; } handle->flags.fetch_and(~kUsageBit, std::memory_order_relaxed); return false; } bool ClockCacheShard::EvictFromCache(size_t charge, CleanupContext* context) { size_t usage = usage_.load(std::memory_order_relaxed); size_t capacity = capacity_.load(std::memory_order_relaxed); if (usage == 0) { return charge <= capacity; } size_t new_head = head_; bool second_iteration = false; while (usage + charge > capacity) { assert(new_head < list_.size()); if (TryEvict(&list_[new_head], context)) { usage = usage_.load(std::memory_order_relaxed); } new_head = (new_head + 1 >= list_.size()) ? 0 : new_head + 1; if (new_head == head_) { if (second_iteration) { return false; } else { second_iteration = true; } } } head_ = new_head; return true; } void ClockCacheShard::SetCapacity(size_t capacity) { CleanupContext context; { MutexLock l(&mutex_); capacity_.store(capacity, std::memory_order_relaxed); EvictFromCache(0, &context); } Cleanup(context); } void ClockCacheShard::SetStrictCapacityLimit(bool strict_capacity_limit) { strict_capacity_limit_.store(strict_capacity_limit, std::memory_order_relaxed); } CacheHandle* ClockCacheShard::Insert( const Slice& key, uint32_t hash, void* value, size_t charge, void (*deleter)(const Slice& key, void* value), bool hold_reference, CleanupContext* context, bool* overwritten) { assert(overwritten != nullptr && *overwritten == false); uint32_t meta_charge = CacheHandle::CalcMetadataCharge(key, metadata_charge_policy_); size_t total_charge = charge + meta_charge; MutexLock l(&mutex_); bool success = EvictFromCache(total_charge, context); bool strict = strict_capacity_limit_.load(std::memory_order_relaxed); if (!success && (strict || !hold_reference)) { context->to_delete_key.push_back(key.data()); if (!hold_reference) { context->to_delete_value.emplace_back(key, value, deleter); } return nullptr; } // Grab available handle from recycle bin. If recycle bin is empty, create // and append new handle to end of circular list. CacheHandle* handle = nullptr; if (!recycle_.empty()) { handle = recycle_.back(); recycle_.pop_back(); } else { list_.emplace_back(); handle = &list_.back(); } // Fill handle. handle->key = key; handle->hash = hash; handle->value = value; handle->charge = charge; handle->meta_charge = meta_charge; handle->deleter = deleter; uint32_t flags = hold_reference ? kInCacheBit + kOneRef : kInCacheBit; // TODO investigate+fix suspected race condition: // [thread 1] Lookup starts, up to Ref() // [thread 2] Erase/evict the entry just looked up // [thread 1] Ref() the handle, even though it's in the recycle bin // [thread 2] Insert with recycling that handle // Here we obliterate the other thread's Ref // Possible fix: never blindly overwrite the flags, but only make // relative updates (fetch_add, etc). handle->flags.store(flags, std::memory_order_relaxed); HashTable::accessor accessor; if (table_.find(accessor, CacheKey(key, hash))) { *overwritten = true; CacheHandle* existing_handle = accessor->second; table_.erase(accessor); UnsetInCache(existing_handle, context); } table_.insert(HashTable::value_type(CacheKey(key, hash), handle)); if (hold_reference) { pinned_usage_.fetch_add(total_charge, std::memory_order_relaxed); } usage_.fetch_add(total_charge, std::memory_order_relaxed); return handle; } Status ClockCacheShard::Insert(const Slice& key, uint32_t hash, void* value, size_t charge, void (*deleter)(const Slice& key, void* value), Cache::Handle** out_handle, Cache::Priority /*priority*/) { CleanupContext context; HashTable::accessor accessor; char* key_data = new char[key.size()]; memcpy(key_data, key.data(), key.size()); Slice key_copy(key_data, key.size()); bool overwritten = false; CacheHandle* handle = Insert(key_copy, hash, value, charge, deleter, out_handle != nullptr, &context, &overwritten); Status s; if (out_handle != nullptr) { if (handle == nullptr) { s = Status::Incomplete("Insert failed due to LRU cache being full."); } else { *out_handle = reinterpret_cast(handle); } } if (overwritten) { assert(s.ok()); s = Status::OkOverwritten(); } Cleanup(context); return s; } Cache::Handle* ClockCacheShard::Lookup(const Slice& key, uint32_t hash) { HashTable::const_accessor accessor; if (!table_.find(accessor, CacheKey(key, hash))) { return nullptr; } CacheHandle* handle = accessor->second; accessor.release(); // Ref() could fail if another thread sneak in and evict/erase the cache // entry before we are able to hold reference. if (!Ref(reinterpret_cast(handle))) { return nullptr; } // Double check the key since the handle may now representing another key // if other threads sneak in, evict/erase the entry and re-used the handle // for another cache entry. if (hash != handle->hash || key != handle->key) { CleanupContext context; Unref(handle, false, &context); // It is possible Unref() delete the entry, so we need to cleanup. Cleanup(context); return nullptr; } return reinterpret_cast(handle); } bool ClockCacheShard::Release(Cache::Handle* h, bool force_erase) { CleanupContext context; CacheHandle* handle = reinterpret_cast(h); bool erased = Unref(handle, true, &context); if (force_erase && !erased) { erased = EraseAndConfirm(handle->key, handle->hash, &context); } Cleanup(context); return erased; } void ClockCacheShard::Erase(const Slice& key, uint32_t hash) { CleanupContext context; EraseAndConfirm(key, hash, &context); Cleanup(context); } bool ClockCacheShard::EraseAndConfirm(const Slice& key, uint32_t hash, CleanupContext* context) { MutexLock l(&mutex_); HashTable::accessor accessor; bool erased = false; if (table_.find(accessor, CacheKey(key, hash))) { CacheHandle* handle = accessor->second; table_.erase(accessor); erased = UnsetInCache(handle, context); } return erased; } void ClockCacheShard::EraseUnRefEntries() { CleanupContext context; { MutexLock l(&mutex_); table_.clear(); for (auto& handle : list_) { UnsetInCache(&handle, &context); } } Cleanup(context); } class ClockCache final : public ShardedCache { public: ClockCache(size_t capacity, int num_shard_bits, bool strict_capacity_limit, CacheMetadataChargePolicy metadata_charge_policy) : ShardedCache(capacity, num_shard_bits, strict_capacity_limit) { int num_shards = 1 << num_shard_bits; shards_ = new ClockCacheShard[num_shards]; for (int i = 0; i < num_shards; i++) { shards_[i].set_metadata_charge_policy(metadata_charge_policy); } SetCapacity(capacity); SetStrictCapacityLimit(strict_capacity_limit); } ~ClockCache() override { delete[] shards_; } const char* Name() const override { return "ClockCache"; } CacheShard* GetShard(uint32_t shard) override { return reinterpret_cast(&shards_[shard]); } const CacheShard* GetShard(uint32_t shard) const override { return reinterpret_cast(&shards_[shard]); } void* Value(Handle* handle) override { return reinterpret_cast(handle)->value; } size_t GetCharge(Handle* handle) const override { return reinterpret_cast(handle)->charge; } uint32_t GetHash(Handle* handle) const override { return reinterpret_cast(handle)->hash; } void DisownData() override { #if defined(__clang__) #if !defined(__has_feature) || !__has_feature(address_sanitizer) shards_ = nullptr; #endif #else // __clang__ #ifndef __SANITIZE_ADDRESS__ shards_ = nullptr; #endif // !__SANITIZE_ADDRESS__ #endif // __clang__ } void WaitAll(std::vector& /*handles*/) override {} private: ClockCacheShard* shards_; }; } // end anonymous namespace std::shared_ptr NewClockCache( size_t capacity, int num_shard_bits, bool strict_capacity_limit, CacheMetadataChargePolicy metadata_charge_policy) { if (num_shard_bits < 0) { num_shard_bits = GetDefaultCacheShardBits(capacity); } return std::make_shared( capacity, num_shard_bits, strict_capacity_limit, metadata_charge_policy); } } // namespace ROCKSDB_NAMESPACE #endif // SUPPORT_CLOCK_CACHE