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0050a73a4f
Summary: This change standardizes on a new 16-byte cache key format for block cache (incl compressed and secondary) and persistent cache (but not table cache and row cache). The goal is a really fast cache key with practically ideal stability and uniqueness properties without external dependencies (e.g. from FileSystem). A fixed key size of 16 bytes should enable future optimizations to the concurrent hash table for block cache, which is a heavy CPU user / bottleneck, but there appears to be measurable performance improvement even with no changes to LRUCache. This change replaces a lot of disjointed and ugly code handling cache keys with calls to a simple, clean new internal API (cache_key.h). (Preserving the old cache key logic under an option would be very ugly and likely negate the performance gain of the new approach. Complete replacement carries some inherent risk, but I think that's acceptable with sufficient analysis and testing.) The scheme for encoding new cache keys is complicated but explained in cache_key.cc. Also: EndianSwapValue is moved to math.h to be next to other bit operations. (Explains some new include "math.h".) ReverseBits operation added and unit tests added to hash_test for both. Fixes https://github.com/facebook/rocksdb/issues/7405 (presuming a root cause) Pull Request resolved: https://github.com/facebook/rocksdb/pull/9126 Test Plan: ### Basic correctness Several tests needed updates to work with the new functionality, mostly because we are no longer relying on filesystem for stable cache keys so table builders & readers need more context info to agree on cache keys. This functionality is so core, a huge number of existing tests exercise the cache key functionality. ### Performance Create db with `TEST_TMPDIR=/dev/shm ./db_bench -bloom_bits=10 -benchmarks=fillrandom -num=3000000 -partition_index_and_filters` And test performance with `TEST_TMPDIR=/dev/shm ./db_bench -readonly -use_existing_db -bloom_bits=10 -benchmarks=readrandom -num=3000000 -duration=30 -cache_index_and_filter_blocks -cache_size=250000 -threads=4` using DEBUG_LEVEL=0 and simultaneous before & after runs. Before ops/sec, avg over 100 runs: 121924 After ops/sec, avg over 100 runs: 125385 (+2.8%) ### Collision probability I have built a tool, ./cache_bench -stress_cache_key to broadly simulate host-wide cache activity over many months, by making some pessimistic simplifying assumptions: * Every generated file has a cache entry for every byte offset in the file (contiguous range of cache keys) * All of every file is cached for its entire lifetime We use a simple table with skewed address assignment and replacement on address collision to simulate files coming & going, with quite a variance (super-Poisson) in ages. Some output with `./cache_bench -stress_cache_key -sck_keep_bits=40`: ``` Total cache or DBs size: 32TiB Writing 925.926 MiB/s or 76.2939TiB/day Multiply by 9.22337e+18 to correct for simulation losses (but still assume whole file cached) ``` These come from default settings of 2.5M files per day of 32 MB each, and `-sck_keep_bits=40` means that to represent a single file, we are only keeping 40 bits of the 128-bit cache key. With file size of 2\*\*25 contiguous keys (pessimistic), our simulation is about 2\*\*(128-40-25) or about 9 billion billion times more prone to collision than reality. More default assumptions, relatively pessimistic: * 100 DBs in same process (doesn't matter much) * Re-open DB in same process (new session ID related to old session ID) on average every 100 files generated * Restart process (all new session IDs unrelated to old) 24 times per day After enough data, we get a result at the end: ``` (keep 40 bits) 17 collisions after 2 x 90 days, est 10.5882 days between (9.76592e+19 corrected) ``` If we believe the (pessimistic) simulation and the mathematical generalization, we would need to run a billion machines all for 97 billion days to expect a cache key collision. To help verify that our generalization ("corrected") is robust, we can make our simulation more precise with `-sck_keep_bits=41` and `42`, which takes more running time to get enough data: ``` (keep 41 bits) 16 collisions after 4 x 90 days, est 22.5 days between (1.03763e+20 corrected) (keep 42 bits) 19 collisions after 10 x 90 days, est 47.3684 days between (1.09224e+20 corrected) ``` The generalized prediction still holds. With the `-sck_randomize` option, we can see that we are beating "random" cache keys (except offsets still non-randomized) by a modest amount (roughly 20x less collision prone than random), which should make us reasonably comfortable even in "degenerate" cases: ``` 197 collisions after 1 x 90 days, est 0.456853 days between (4.21372e+18 corrected) ``` I've run other tests to validate other conditions behave as expected, never behaving "worse than random" unless we start chopping off structured data. Reviewed By: zhichao-cao Differential Revision: D33171746 Pulled By: pdillinger fbshipit-source-id: f16a57e369ed37be5e7e33525ace848d0537c88f
192 lines
8 KiB
C++
192 lines
8 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 <atomic>
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#include <cstddef>
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#include <cstdint>
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#include <memory>
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#include <vector>
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#include "cache/cache_entry_roles.h"
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#include "rocksdb/cache.h"
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#include "rocksdb/slice.h"
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#include "rocksdb/status.h"
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#include "table/block_based/block_based_table_reader.h"
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#include "util/coding.h"
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namespace ROCKSDB_NAMESPACE {
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template <CacheEntryRole R>
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class CacheReservationHandle;
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// CacheReservationManager is for reserving cache space for the memory used
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// through inserting/releasing dummy entries in the cache.
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//
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// This class is NOT thread-safe, except that GetTotalReservedCacheSize()
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// can be called without external synchronization.
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class CacheReservationManager
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: public std::enable_shared_from_this<CacheReservationManager> {
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public:
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// Construct a CacheReservationManager
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// @param cache The cache where dummy entries are inserted and released for
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// reserving cache space
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// @param delayed_decrease If set true, then dummy entries won't be released
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// immediately when memory usage decreases.
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// Instead, it will be released when the memory usage
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// decreases to 3/4 of what we have reserved so far.
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// This is for saving some future dummy entry
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// insertion when memory usage increases are likely to
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// happen in the near future.
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explicit CacheReservationManager(std::shared_ptr<Cache> cache,
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bool delayed_decrease = false);
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// no copy constructor, copy assignment, move constructor, move assignment
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CacheReservationManager(const CacheReservationManager &) = delete;
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CacheReservationManager &operator=(const CacheReservationManager &) = delete;
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CacheReservationManager(CacheReservationManager &&) = delete;
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CacheReservationManager &operator=(CacheReservationManager &&) = delete;
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~CacheReservationManager();
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template <CacheEntryRole R>
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// One of the two ways of reserving/releasing cache,
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// see CacheReservationManager::MakeCacheReservation() for the other.
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// Use ONLY one of them to prevent unexpected behavior.
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//
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// Insert and release dummy entries in the cache to
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// match the size of total dummy entries with the least multiple of
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// kSizeDummyEntry greater than or equal to new_mem_used
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//
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// Insert dummy entries if new_memory_used > cache_allocated_size_;
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//
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// Release dummy entries if new_memory_used < cache_allocated_size_
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// (and new_memory_used < cache_allocated_size_ * 3/4
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// when delayed_decrease is set true);
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//
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// Keey dummy entries the same if (1) new_memory_used == cache_allocated_size_
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// or (2) new_memory_used is in the interval of
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// [cache_allocated_size_ * 3/4, cache_allocated_size) when delayed_decrease
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// is set true.
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//
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// @param new_memory_used The number of bytes used by new memory
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// The most recent new_memoy_used passed in will be returned
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// in GetTotalMemoryUsed() even when the call return non-ok status.
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//
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// Since the class is NOT thread-safe, external synchronization on the
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// order of calling UpdateCacheReservation() is needed if you want
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// GetTotalMemoryUsed() indeed returns the latest memory used.
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//
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// @return On inserting dummy entries, it returns Status::OK() if all dummy
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// entry insertions succeed.
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// Otherwise, it returns the first non-ok status;
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// On releasing dummy entries, it always returns Status::OK().
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// On keeping dummy entries the same, it always returns Status::OK().
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Status UpdateCacheReservation(std::size_t new_memory_used);
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// One of the two ways of reserving/releasing cache,
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// see CacheReservationManager::UpdateCacheReservation() for the other.
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// Use ONLY one of them to prevent unexpected behavior.
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//
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// Insert dummy entries in the cache for the incremental memory usage
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// to match the size of total dummy entries with the least multiple of
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// kSizeDummyEntry greater than or equal to the total memory used.
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//
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// A CacheReservationHandle is returned as an output parameter.
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// The reserved dummy entries are automatically released on the destruction of
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// this handle, which achieves better RAII per cache reservation.
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//
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// WARNING: Deallocate all the handles of the CacheReservationManager object
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// before deallocating the object to prevent unexpected behavior.
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//
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// @param incremental_memory_used The number of bytes increased in memory
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// usage.
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//
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// Calling GetTotalMemoryUsed() afterward will return the total memory
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// increased by this number, even when calling MakeCacheReservation()
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// returns non-ok status.
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//
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// Since the class is NOT thread-safe, external synchronization in
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// calling MakeCacheReservation() is needed if you want
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// GetTotalMemoryUsed() indeed returns the latest memory used.
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//
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// @param handle An pointer to std::unique_ptr<CacheReservationHandle<R>> that
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// manages the lifetime of the handle and its cache reservation.
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//
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// @return It returns Status::OK() if all dummy
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// entry insertions succeed.
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// Otherwise, it returns the first non-ok status;
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//
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// REQUIRES: handle != nullptr
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// REQUIRES: The CacheReservationManager object is NOT managed by
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// std::unique_ptr as CacheReservationHandle needs to
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// shares ownership to the CacheReservationManager object.
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template <CacheEntryRole R>
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Status MakeCacheReservation(
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std::size_t incremental_memory_used,
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std::unique_ptr<CacheReservationHandle<R>> *handle);
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// Return the size of the cache (which is a multiple of kSizeDummyEntry)
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// successfully reserved by calling UpdateCacheReservation().
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//
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// When UpdateCacheReservation() returns non-ok status,
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// calling GetTotalReservedCacheSize() after that might return a slightly
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// smaller number than the actual reserved cache size due to
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// the returned number will always be a multiple of kSizeDummyEntry
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// and cache full might happen in the middle of inserting a dummy entry.
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std::size_t GetTotalReservedCacheSize();
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// Return the latest total memory used indicated by the most recent call of
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// UpdateCacheReservation(std::size_t new_memory_used);
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std::size_t GetTotalMemoryUsed();
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static constexpr std::size_t GetDummyEntrySize() { return kSizeDummyEntry; }
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// For testing only - it is to help ensure the NoopDeleterForRole<R>
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// accessed from CacheReservationManager and the one accessed from the test
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// are from the same translation units
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template <CacheEntryRole R>
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static Cache::DeleterFn TEST_GetNoopDeleterForRole();
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private:
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static constexpr std::size_t kSizeDummyEntry = 256 * 1024;
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Slice GetNextCacheKey();
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template <CacheEntryRole R>
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Status IncreaseCacheReservation(std::size_t new_mem_used);
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Status DecreaseCacheReservation(std::size_t new_mem_used);
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std::shared_ptr<Cache> cache_;
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bool delayed_decrease_;
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std::atomic<std::size_t> cache_allocated_size_;
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std::size_t memory_used_;
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std::vector<Cache::Handle *> dummy_handles_;
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CacheKey cache_key_;
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};
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// CacheReservationHandle is for managing the lifetime of a cache reservation
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// This class is NOT thread-safe
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template <CacheEntryRole R>
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class CacheReservationHandle {
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public:
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// REQUIRES: cache_res_mgr != nullptr
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explicit CacheReservationHandle(
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std::size_t incremental_memory_used,
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std::shared_ptr<CacheReservationManager> cache_res_mgr);
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~CacheReservationHandle();
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private:
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std::size_t incremental_memory_used_;
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std::shared_ptr<CacheReservationManager> cache_res_mgr_;
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};
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} // namespace ROCKSDB_NAMESPACE
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