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7555243bcf
Summary: The motivations for this change include * Free up space in ClockHandle so that we can add data for secondary cache handling while still keeping within single cache line (64 byte) size. * This change frees up space by eliminating the need for the `hash` field by making the fixed-size key itself a hash, using a 128-bit bijective (lossless) hash. * Generally more customizability of ShardedCache (such as hashing) without worrying about virtual call overheads * ShardedCache now uses static polymorphism (template) instead of dynamic polymorphism (virtual overrides) for the CacheShard. No obvious performance benefit is seen from the change (as mostly expected; most calls to virtual functions in CacheShard could already be optimized to static calls), but offers more flexibility without incurring the runtime cost of adhering to a common interface (without type parameters or static callbacks). * You'll also notice less `reinterpret_cast`ing and other boilerplate in the Cache implementations, as this can go in ShardedCache. More detail: * Don't have LRUCacheShard maintain `std::shared_ptr<SecondaryCache>` copies (extra refcount) when LRUCache can be in charge of keeping a `shared_ptr`. * Renamed `capacity_mutex_` to `config_mutex_` to better represent the scope of what it guards. * Some preparation for 64-bit hash and indexing in LRUCache, but didn't include the full change because of slight performance regression. Pull Request resolved: https://github.com/facebook/rocksdb/pull/10801 Test Plan: Unit test updates were non-trivial because of major changes to the ClockCacheShard interface in handling of key vs. hash. Performance: Create with `TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=fillrandom -num=30000000 -disable_wal=1 -bloom_bits=16` Test with ``` TEST_TMPDIR=/dev/shm ./db_bench -benchmarks=readrandom[-X1000] -readonly -num=30000000 -bloom_bits=16 -cache_index_and_filter_blocks=1 -cache_size=610000000 -duration 20 -threads=16 ``` Before: `readrandom [AVG 150 runs] : 321147 (± 253) ops/sec` After: `readrandom [AVG 150 runs] : 321530 (± 326) ops/sec` So possibly ~0.1% improvement. And with `-cache_type=hyper_clock_cache`: Before: `readrandom [AVG 30 runs] : 614126 (± 7978) ops/sec` After: `readrandom [AVG 30 runs] : 645349 (± 8087) ops/sec` So roughly 5% improvement! Reviewed By: anand1976 Differential Revision: D40252236 Pulled By: pdillinger fbshipit-source-id: ff8fc70ef569585edc95bcbaaa0386f61355ae5b
545 lines
19 KiB
C++
545 lines
19 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 <memory>
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#include <string>
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#include "cache/sharded_cache.h"
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#include "port/lang.h"
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#include "port/malloc.h"
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#include "port/port.h"
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#include "rocksdb/secondary_cache.h"
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#include "util/autovector.h"
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#include "util/distributed_mutex.h"
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namespace ROCKSDB_NAMESPACE {
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namespace lru_cache {
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// LRU cache implementation. This class is not thread-safe.
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// An entry is a variable length heap-allocated structure.
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// Entries are referenced by cache and/or by any external entity.
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// The cache keeps all its entries in a hash table. Some elements
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// are also stored on LRU list.
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//
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// LRUHandle can be in these states:
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// 1. Referenced externally AND in hash table.
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// In that case the entry is *not* in the LRU list
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// (refs >= 1 && in_cache == true)
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// 2. Not referenced externally AND in hash table.
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// In that case the entry is in the LRU list and can be freed.
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// (refs == 0 && in_cache == true)
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// 3. Referenced externally AND not in hash table.
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// In that case the entry is not in the LRU list and not in hash table.
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// The entry must be freed if refs becomes 0 in this state.
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// (refs >= 1 && in_cache == false)
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// If you call LRUCacheShard::Release enough times on an entry in state 1, it
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// will go into state 2. To move from state 1 to state 3, either call
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// LRUCacheShard::Erase or LRUCacheShard::Insert with the same key (but
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// possibly different value). To move from state 2 to state 1, use
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// LRUCacheShard::Lookup.
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// While refs > 0, public properties like value and deleter must not change.
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struct LRUHandle {
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void* value;
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union Info {
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Info() {}
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~Info() {}
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Cache::DeleterFn deleter;
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const Cache::CacheItemHelper* helper;
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} info_;
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// An entry is not added to the LRUHandleTable until the secondary cache
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// lookup is complete, so its safe to have this union.
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union {
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LRUHandle* next_hash;
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SecondaryCacheResultHandle* sec_handle;
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};
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LRUHandle* next;
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LRUHandle* prev;
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size_t total_charge; // TODO(opt): Only allow uint32_t?
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size_t key_length;
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// The hash of key(). Used for fast sharding and comparisons.
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uint32_t hash;
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// The number of external refs to this entry. The cache itself is not counted.
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uint32_t refs;
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// Mutable flags - access controlled by mutex
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// The m_ and M_ prefixes (and im_ and IM_ later) are to hopefully avoid
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// checking an M_ flag on im_flags or an IM_ flag on m_flags.
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uint8_t m_flags;
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enum MFlags : uint8_t {
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// Whether this entry is referenced by the hash table.
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M_IN_CACHE = (1 << 0),
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// Whether this entry has had any lookups (hits).
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M_HAS_HIT = (1 << 1),
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// Whether this entry is in high-pri pool.
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M_IN_HIGH_PRI_POOL = (1 << 2),
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// Whether this entry is in low-pri pool.
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M_IN_LOW_PRI_POOL = (1 << 3),
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};
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// "Immutable" flags - only set in single-threaded context and then
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// can be accessed without mutex
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uint8_t im_flags;
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enum ImFlags : uint8_t {
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// Whether this entry is high priority entry.
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IM_IS_HIGH_PRI = (1 << 0),
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// Whether this entry is low priority entry.
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IM_IS_LOW_PRI = (1 << 1),
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// Can this be inserted into the secondary cache.
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IM_IS_SECONDARY_CACHE_COMPATIBLE = (1 << 2),
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// Is the handle still being read from a lower tier.
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IM_IS_PENDING = (1 << 3),
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// Whether this handle is still in a lower tier
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IM_IS_IN_SECONDARY_CACHE = (1 << 4),
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// Marks result handles that should not be inserted into cache
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IM_IS_STANDALONE = (1 << 5),
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};
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// Beginning of the key (MUST BE THE LAST FIELD IN THIS STRUCT!)
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char key_data[1];
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Slice key() const { return Slice(key_data, key_length); }
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// For HandleImpl concept
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uint32_t GetHash() const { return hash; }
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// Increase the reference count by 1.
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void Ref() { refs++; }
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// Just reduce the reference count by 1. Return true if it was last reference.
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bool Unref() {
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assert(refs > 0);
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refs--;
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return refs == 0;
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}
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// Return true if there are external refs, false otherwise.
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bool HasRefs() const { return refs > 0; }
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bool InCache() const { return m_flags & M_IN_CACHE; }
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bool IsHighPri() const { return im_flags & IM_IS_HIGH_PRI; }
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bool InHighPriPool() const { return m_flags & M_IN_HIGH_PRI_POOL; }
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bool IsLowPri() const { return im_flags & IM_IS_LOW_PRI; }
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bool InLowPriPool() const { return m_flags & M_IN_LOW_PRI_POOL; }
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bool HasHit() const { return m_flags & M_HAS_HIT; }
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bool IsSecondaryCacheCompatible() const {
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return im_flags & IM_IS_SECONDARY_CACHE_COMPATIBLE;
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}
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bool IsPending() const { return im_flags & IM_IS_PENDING; }
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bool IsInSecondaryCache() const {
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return im_flags & IM_IS_IN_SECONDARY_CACHE;
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}
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bool IsStandalone() const { return im_flags & IM_IS_STANDALONE; }
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void SetInCache(bool in_cache) {
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if (in_cache) {
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m_flags |= M_IN_CACHE;
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} else {
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m_flags &= ~M_IN_CACHE;
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}
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}
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void SetPriority(Cache::Priority priority) {
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if (priority == Cache::Priority::HIGH) {
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im_flags |= IM_IS_HIGH_PRI;
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im_flags &= ~IM_IS_LOW_PRI;
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} else if (priority == Cache::Priority::LOW) {
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im_flags &= ~IM_IS_HIGH_PRI;
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im_flags |= IM_IS_LOW_PRI;
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} else {
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im_flags &= ~IM_IS_HIGH_PRI;
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im_flags &= ~IM_IS_LOW_PRI;
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}
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}
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void SetInHighPriPool(bool in_high_pri_pool) {
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if (in_high_pri_pool) {
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m_flags |= M_IN_HIGH_PRI_POOL;
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} else {
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m_flags &= ~M_IN_HIGH_PRI_POOL;
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}
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}
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void SetInLowPriPool(bool in_low_pri_pool) {
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if (in_low_pri_pool) {
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m_flags |= M_IN_LOW_PRI_POOL;
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} else {
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m_flags &= ~M_IN_LOW_PRI_POOL;
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}
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}
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void SetHit() { m_flags |= M_HAS_HIT; }
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void SetSecondaryCacheCompatible(bool compat) {
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if (compat) {
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im_flags |= IM_IS_SECONDARY_CACHE_COMPATIBLE;
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} else {
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im_flags &= ~IM_IS_SECONDARY_CACHE_COMPATIBLE;
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}
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}
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void SetIsPending(bool pending) {
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if (pending) {
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im_flags |= IM_IS_PENDING;
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} else {
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im_flags &= ~IM_IS_PENDING;
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}
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}
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void SetIsInSecondaryCache(bool is_in_secondary_cache) {
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if (is_in_secondary_cache) {
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im_flags |= IM_IS_IN_SECONDARY_CACHE;
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} else {
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im_flags &= ~IM_IS_IN_SECONDARY_CACHE;
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}
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}
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void SetIsStandalone(bool is_standalone) {
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if (is_standalone) {
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im_flags |= IM_IS_STANDALONE;
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} else {
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im_flags &= ~IM_IS_STANDALONE;
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}
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}
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void Free() {
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assert(refs == 0);
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if (!IsSecondaryCacheCompatible() && info_.deleter) {
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(*info_.deleter)(key(), value);
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} else if (IsSecondaryCacheCompatible()) {
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if (IsPending()) {
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assert(sec_handle != nullptr);
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SecondaryCacheResultHandle* tmp_sec_handle = sec_handle;
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tmp_sec_handle->Wait();
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value = tmp_sec_handle->Value();
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delete tmp_sec_handle;
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}
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if (value) {
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(*info_.helper->del_cb)(key(), value);
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}
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}
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delete[] reinterpret_cast<char*>(this);
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}
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inline size_t CalcuMetaCharge(
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CacheMetadataChargePolicy metadata_charge_policy) const {
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if (metadata_charge_policy != kFullChargeCacheMetadata) {
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return 0;
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} else {
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#ifdef ROCKSDB_MALLOC_USABLE_SIZE
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return malloc_usable_size(
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const_cast<void*>(static_cast<const void*>(this)));
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#else
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// This is the size that is used when a new handle is created.
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return sizeof(LRUHandle) - 1 + key_length;
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#endif
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}
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}
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// Calculate the memory usage by metadata.
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inline void CalcTotalCharge(
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size_t charge, CacheMetadataChargePolicy metadata_charge_policy) {
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total_charge = charge + CalcuMetaCharge(metadata_charge_policy);
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}
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inline size_t GetCharge(
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CacheMetadataChargePolicy metadata_charge_policy) const {
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size_t meta_charge = CalcuMetaCharge(metadata_charge_policy);
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assert(total_charge >= meta_charge);
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return total_charge - meta_charge;
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}
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};
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// We provide our own simple hash table since it removes a whole bunch
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// of porting hacks and is also faster than some of the built-in hash
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// table implementations in some of the compiler/runtime combinations
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// we have tested. E.g., readrandom speeds up by ~5% over the g++
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// 4.4.3's builtin hashtable.
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class LRUHandleTable {
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public:
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explicit LRUHandleTable(int max_upper_hash_bits);
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~LRUHandleTable();
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LRUHandle* Lookup(const Slice& key, uint32_t hash);
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LRUHandle* Insert(LRUHandle* h);
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LRUHandle* Remove(const Slice& key, uint32_t hash);
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template <typename T>
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void ApplyToEntriesRange(T func, size_t index_begin, size_t index_end) {
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for (size_t i = index_begin; i < index_end; i++) {
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LRUHandle* h = list_[i];
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while (h != nullptr) {
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auto n = h->next_hash;
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assert(h->InCache());
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func(h);
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h = n;
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}
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}
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}
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int GetLengthBits() const { return length_bits_; }
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size_t GetOccupancyCount() const { return elems_; }
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private:
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// Return a pointer to slot that points to a cache entry that
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// matches key/hash. If there is no such cache entry, return a
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// pointer to the trailing slot in the corresponding linked list.
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LRUHandle** FindPointer(const Slice& key, uint32_t hash);
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void Resize();
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// Number of hash bits (upper because lower bits used for sharding)
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// used for table index. Length == 1 << length_bits_
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int length_bits_;
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// The table consists of an array of buckets where each bucket is
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// a linked list of cache entries that hash into the bucket.
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std::unique_ptr<LRUHandle*[]> list_;
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// Number of elements currently in the table.
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uint32_t elems_;
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// Set from max_upper_hash_bits (see constructor).
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const int max_length_bits_;
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};
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// A single shard of sharded cache.
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class ALIGN_AS(CACHE_LINE_SIZE) LRUCacheShard final : public CacheShardBase {
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public:
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LRUCacheShard(size_t capacity, bool strict_capacity_limit,
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double high_pri_pool_ratio, double low_pri_pool_ratio,
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bool use_adaptive_mutex,
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CacheMetadataChargePolicy metadata_charge_policy,
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int max_upper_hash_bits, SecondaryCache* secondary_cache);
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public: // Type definitions expected as parameter to ShardedCache
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using HandleImpl = LRUHandle;
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using HashVal = uint32_t;
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using HashCref = uint32_t;
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public: // Function definitions expected as parameter to ShardedCache
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static inline HashVal ComputeHash(const Slice& key) {
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return Lower32of64(GetSliceNPHash64(key));
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}
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// Separate from constructor so caller can easily make an array of LRUCache
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// if current usage is more than new capacity, the function will attempt to
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// free the needed space.
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void SetCapacity(size_t capacity);
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// Set the flag to reject insertion if cache if full.
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void SetStrictCapacityLimit(bool strict_capacity_limit);
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// Set percentage of capacity reserved for high-pri cache entries.
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void SetHighPriorityPoolRatio(double high_pri_pool_ratio);
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// Set percentage of capacity reserved for low-pri cache entries.
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void SetLowPriorityPoolRatio(double low_pri_pool_ratio);
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// Like Cache methods, but with an extra "hash" parameter.
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inline Status Insert(const Slice& key, uint32_t hash, void* value,
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size_t charge, Cache::DeleterFn deleter,
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LRUHandle** handle, Cache::Priority priority) {
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return Insert(key, hash, value, charge, deleter, nullptr, handle, priority);
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}
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inline Status Insert(const Slice& key, uint32_t hash, void* value,
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const Cache::CacheItemHelper* helper, size_t charge,
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LRUHandle** handle, Cache::Priority priority) {
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assert(helper);
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return Insert(key, hash, value, charge, nullptr, helper, handle, priority);
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}
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// If helper_cb is null, the values of the following arguments don't matter.
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LRUHandle* Lookup(const Slice& key, uint32_t hash,
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const Cache::CacheItemHelper* helper,
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const Cache::CreateCallback& create_cb,
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Cache::Priority priority, bool wait, Statistics* stats);
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inline LRUHandle* Lookup(const Slice& key, uint32_t hash) {
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return Lookup(key, hash, nullptr, nullptr, Cache::Priority::LOW, true,
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nullptr);
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}
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bool Release(LRUHandle* handle, bool useful, bool erase_if_last_ref);
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bool IsReady(LRUHandle* /*handle*/);
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void Wait(LRUHandle* /*handle*/) {}
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bool Ref(LRUHandle* handle);
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void Erase(const Slice& key, uint32_t hash);
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// Although in some platforms the update of size_t is atomic, to make sure
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// GetUsage() and GetPinnedUsage() work correctly under any platform, we'll
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// protect them with mutex_.
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size_t GetUsage() const;
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size_t GetPinnedUsage() const;
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size_t GetOccupancyCount() const;
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size_t GetTableAddressCount() const;
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void ApplyToSomeEntries(
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const std::function<void(const Slice& key, void* value, size_t charge,
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DeleterFn deleter)>& callback,
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size_t average_entries_per_lock, size_t* state);
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void EraseUnRefEntries();
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public: // other function definitions
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void TEST_GetLRUList(LRUHandle** lru, LRUHandle** lru_low_pri,
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LRUHandle** lru_bottom_pri);
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// Retrieves number of elements in LRU, for unit test purpose only.
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// Not threadsafe.
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size_t TEST_GetLRUSize();
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// Retrieves high pri pool ratio
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double GetHighPriPoolRatio();
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// Retrieves low pri pool ratio
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double GetLowPriPoolRatio();
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void AppendPrintableOptions(std::string& /*str*/) const;
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private:
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friend class LRUCache;
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// Insert an item into the hash table and, if handle is null, insert into
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// the LRU list. Older items are evicted as necessary. If the cache is full
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// and free_handle_on_fail is true, the item is deleted and handle is set to
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// nullptr.
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Status InsertItem(LRUHandle* item, LRUHandle** handle,
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bool free_handle_on_fail);
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Status Insert(const Slice& key, uint32_t hash, void* value, size_t charge,
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DeleterFn deleter, const Cache::CacheItemHelper* helper,
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LRUHandle** handle, Cache::Priority priority);
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// Promote an item looked up from the secondary cache to the LRU cache.
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// The item may be still in the secondary cache.
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// It is only inserted into the hash table and not the LRU list, and only
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// if the cache is not at full capacity, as is the case during Insert. The
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// caller should hold a reference on the LRUHandle. When the caller releases
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// the last reference, the item is added to the LRU list.
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// The item is promoted to the high pri or low pri pool as specified by the
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// caller in Lookup.
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void Promote(LRUHandle* e);
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void LRU_Remove(LRUHandle* e);
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void LRU_Insert(LRUHandle* e);
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// Overflow the last entry in high-pri pool to low-pri pool until size of
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// high-pri pool is no larger than the size specify by high_pri_pool_pct.
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void MaintainPoolSize();
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// Free some space following strict LRU policy until enough space
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// to hold (usage_ + charge) is freed or the lru list is empty
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// This function is not thread safe - it needs to be executed while
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// holding the mutex_.
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void EvictFromLRU(size_t charge, autovector<LRUHandle*>* deleted);
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// Try to insert the evicted handles into the secondary cache.
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void TryInsertIntoSecondaryCache(autovector<LRUHandle*> evicted_handles);
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// Initialized before use.
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size_t capacity_;
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// Memory size for entries in high-pri pool.
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size_t high_pri_pool_usage_;
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// Memory size for entries in low-pri pool.
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size_t low_pri_pool_usage_;
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// Whether to reject insertion if cache reaches its full capacity.
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bool strict_capacity_limit_;
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// Ratio of capacity reserved for high priority cache entries.
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double high_pri_pool_ratio_;
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// High-pri pool size, equals to capacity * high_pri_pool_ratio.
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// Remember the value to avoid recomputing each time.
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double high_pri_pool_capacity_;
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|
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// Ratio of capacity reserved for low priority cache entries.
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double low_pri_pool_ratio_;
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// Low-pri pool size, equals to capacity * low_pri_pool_ratio.
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// Remember the value to avoid recomputing each time.
|
|
double low_pri_pool_capacity_;
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|
|
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// Dummy head of LRU list.
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// lru.prev is newest entry, lru.next is oldest entry.
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// LRU contains items which can be evicted, ie reference only by cache
|
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LRUHandle lru_;
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|
|
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// Pointer to head of low-pri pool in LRU list.
|
|
LRUHandle* lru_low_pri_;
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|
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// Pointer to head of bottom-pri pool in LRU list.
|
|
LRUHandle* lru_bottom_pri_;
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|
|
|
// ------------^^^^^^^^^^^^^-----------
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|
// Not frequently modified data members
|
|
// ------------------------------------
|
|
//
|
|
// We separate data members that are updated frequently from the ones that
|
|
// are not frequently updated so that they don't share the same cache line
|
|
// which will lead into false cache sharing
|
|
//
|
|
// ------------------------------------
|
|
// Frequently modified data members
|
|
// ------------vvvvvvvvvvvvv-----------
|
|
LRUHandleTable table_;
|
|
|
|
// Memory size for entries residing in the cache.
|
|
size_t usage_;
|
|
|
|
// Memory size for entries residing only in the LRU list.
|
|
size_t lru_usage_;
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|
|
|
// mutex_ protects the following state.
|
|
// We don't count mutex_ as the cache's internal state so semantically we
|
|
// don't mind mutex_ invoking the non-const actions.
|
|
mutable DMutex mutex_;
|
|
|
|
// Owned by LRUCache
|
|
SecondaryCache* secondary_cache_;
|
|
};
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|
|
|
class LRUCache
|
|
#ifdef NDEBUG
|
|
final
|
|
#endif
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|
: public ShardedCache<LRUCacheShard> {
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|
public:
|
|
LRUCache(size_t capacity, int num_shard_bits, bool strict_capacity_limit,
|
|
double high_pri_pool_ratio, double low_pri_pool_ratio,
|
|
std::shared_ptr<MemoryAllocator> memory_allocator = nullptr,
|
|
bool use_adaptive_mutex = kDefaultToAdaptiveMutex,
|
|
CacheMetadataChargePolicy metadata_charge_policy =
|
|
kDontChargeCacheMetadata,
|
|
std::shared_ptr<SecondaryCache> secondary_cache = nullptr);
|
|
const char* Name() const override { return "LRUCache"; }
|
|
void* Value(Handle* handle) override;
|
|
size_t GetCharge(Handle* handle) const override;
|
|
DeleterFn GetDeleter(Handle* handle) const override;
|
|
void WaitAll(std::vector<Handle*>& handles) override;
|
|
|
|
// Retrieves number of elements in LRU, for unit test purpose only.
|
|
size_t TEST_GetLRUSize();
|
|
// Retrieves high pri pool ratio.
|
|
double GetHighPriPoolRatio();
|
|
|
|
void AppendPrintableOptions(std::string& str) const override;
|
|
|
|
private:
|
|
std::shared_ptr<SecondaryCache> secondary_cache_;
|
|
};
|
|
|
|
} // namespace lru_cache
|
|
|
|
using LRUCache = lru_cache::LRUCache;
|
|
using LRUHandle = lru_cache::LRUHandle;
|
|
using LRUCacheShard = lru_cache::LRUCacheShard;
|
|
|
|
} // namespace ROCKSDB_NAMESPACE
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