Fulcrum/staticlibs/rocksdb/include/rocksdb/cache.h
Calin Culianu e800e7cab2 Updated rocksdb to v9.2.1
Updated included headers + precompiled binaries to rocksdb v9.2.1.
2024-06-08 17:54:40 +03:00

579 lines
28 KiB
C++

// 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.
//
// Various APIs for configuring, creating, and monitoring read caches.
#pragma once
#include <cstdint>
#include <limits>
#include <memory>
#include <string>
#include "rocksdb/compression_type.h"
#include "rocksdb/data_structure.h"
#include "rocksdb/memory_allocator.h"
namespace ROCKSDB_NAMESPACE {
class Cache; // defined in advanced_cache.h
struct ConfigOptions;
class SecondaryCache;
// These definitions begin source compatibility for a future change in which
// a specific class for block cache is split away from general caches, so that
// the block cache API can continue to become more specialized and
// customizeable, including in ways incompatible with a general cache. For
// example, HyperClockCache is not usable as a general cache because it expects
// only fixed-size block cache keys, but this limitation is not yet reflected
// in the API function signatures.
// * Phase 1 (done) - Make both BlockCache and RowCache aliases for Cache,
// and make a factory function for row caches. Encourage users of row_cache
// (not common) to switch to the factory function for row caches.
// * Phase 2 - Split off RowCache as its own class, removing secondary
// cache support features and more from the API to simplify it. Between Phase 1
// and Phase 2 users of row_cache will need to update their code. Any time
// after Phase 2, the block cache and row cache APIs can become more specialized
// in ways incompatible with general caches.
// * Phase 3 - Move existing RocksDB uses of Cache to BlockCache, and deprecate
// (but not yet remove) Cache as an alias for BlockCache.
using BlockCache = Cache;
using RowCache = Cache;
// Classifications of block cache entries.
//
// Developer notes: Adding a new enum to this class requires corresponding
// updates to `kCacheEntryRoleToCamelString` and
// `kCacheEntryRoleToHyphenString`. Do not add to this enum after `kMisc` since
// `kNumCacheEntryRoles` assumes `kMisc` comes last.
enum class CacheEntryRole {
// Block-based table data block
kDataBlock,
// Block-based table filter block (full or partitioned)
kFilterBlock,
// Block-based table metadata block for partitioned filter
kFilterMetaBlock,
// OBSOLETE / DEPRECATED: old/removed block-based filter
kDeprecatedFilterBlock,
// Block-based table index block
kIndexBlock,
// Other kinds of block-based table block
kOtherBlock,
// WriteBufferManager's charge to account for its memtable usage
kWriteBuffer,
// Compression dictionary building buffer's charge to account for
// its memory usage
kCompressionDictionaryBuildingBuffer,
// Filter's charge to account for
// (new) bloom and ribbon filter construction's memory usage
kFilterConstruction,
// BlockBasedTableReader's charge to account for its memory usage
kBlockBasedTableReader,
// FileMetadata's charge to account for its memory usage
kFileMetadata,
// Blob value (when using the same cache as block cache and blob cache)
kBlobValue,
// Blob cache's charge to account for its memory usage (when using a
// separate block cache and blob cache)
kBlobCache,
// Default bucket, for miscellaneous cache entries. Do not use for
// entries that could potentially add up to large usage.
kMisc,
};
constexpr uint32_t kNumCacheEntryRoles =
static_cast<uint32_t>(CacheEntryRole::kMisc) + 1;
// Obtain a hyphen-separated, lowercase name of a `CacheEntryRole`.
const std::string& GetCacheEntryRoleName(CacheEntryRole);
// A fast bit set for CacheEntryRoles
using CacheEntryRoleSet = SmallEnumSet<CacheEntryRole, CacheEntryRole::kMisc>;
// For use with `GetMapProperty()` for property
// `DB::Properties::kBlockCacheEntryStats`. On success, the map will
// be populated with all keys that can be obtained from these functions.
struct BlockCacheEntryStatsMapKeys {
static const std::string& CacheId();
static const std::string& CacheCapacityBytes();
static const std::string& LastCollectionDurationSeconds();
static const std::string& LastCollectionAgeSeconds();
static std::string EntryCount(CacheEntryRole);
static std::string UsedBytes(CacheEntryRole);
static std::string UsedPercent(CacheEntryRole);
};
extern const bool kDefaultToAdaptiveMutex;
enum CacheMetadataChargePolicy {
// Only the `charge` of each entry inserted into a Cache counts against
// the `capacity`
kDontChargeCacheMetadata,
// In addition to the `charge`, the approximate space overheads in the
// Cache (in bytes) also count against `capacity`. These space overheads
// are for supporting fast Lookup and managing the lifetime of entries.
kFullChargeCacheMetadata
};
const CacheMetadataChargePolicy kDefaultCacheMetadataChargePolicy =
kFullChargeCacheMetadata;
// Options shared betweeen various cache implementations that
// divide the key space into shards using hashing.
struct ShardedCacheOptions {
// Capacity of the cache, in the same units as the `charge` of each entry.
// This is typically measured in bytes, but can be a different unit if using
// kDontChargeCacheMetadata.
size_t capacity = 0;
// Cache is sharded into 2^num_shard_bits shards, by hash of key.
// If < 0, a good default is chosen based on the capacity and the
// implementation. (Mutex-based implementations are much more reliant
// on many shards for parallel scalability.)
int num_shard_bits = -1;
// If strict_capacity_limit is set, Insert() will fail if there is not
// enough capacity for the new entry along with all the existing referenced
// (pinned) cache entries. (Unreferenced cache entries are evicted as
// needed, sometimes immediately.) If strict_capacity_limit == false
// (default), Insert() never fails.
bool strict_capacity_limit = false;
// If non-nullptr, RocksDB will use this allocator instead of system
// allocator when allocating memory for cache blocks.
//
// Caveat: when the cache is used as block cache, the memory allocator is
// ignored when dealing with compression libraries that allocate memory
// internally (currently only XPRESS).
std::shared_ptr<MemoryAllocator> memory_allocator;
// See CacheMetadataChargePolicy
CacheMetadataChargePolicy metadata_charge_policy =
kDefaultCacheMetadataChargePolicy;
// A SecondaryCache instance to use the non-volatile tier. For a RowCache
// this option must be kept as default empty.
std::shared_ptr<SecondaryCache> secondary_cache;
// See hash_seed comments below
static constexpr int32_t kQuasiRandomHashSeed = -1;
static constexpr int32_t kHostHashSeed = -2;
// EXPERT OPTION: Specifies how a hash seed should be determined for the
// cache, or specifies a specific seed (only recommended for diagnostics or
// testing).
//
// Background: it could be dangerous to have different cache instances
// access the same SST files with the same hash seed, as correlated unlucky
// hashing across hosts or restarts could cause a widespread issue, rather
// than an isolated one. For example, with smaller block caches, it is
// possible for large full Bloom filters in a set of SST files to be randomly
// clustered into one cache shard, causing mutex contention or a thrashing
// condition as there's little or no space left for other entries assigned to
// the shard. If a set of SST files is broadcast and used on many hosts, we
// should ensure all have an independent chance of balanced shards.
//
// Values >= 0 will be treated as fixed hash seeds. Values < 0 are reserved
// for methods of dynamically choosing a seed, currently:
// * kQuasiRandomHashSeed - Each cache created chooses a seed mostly randomly,
// except that within a process, no seed is repeated until all have been
// issued.
// * kHostHashSeed - The seed is determined based on hashing the host name.
// Although this is arguably slightly worse for production reliability, it
// solves the essential problem of cross-host correlation while ensuring
// repeatable behavior on a host, for diagnostic purposes.
int32_t hash_seed = kHostHashSeed;
ShardedCacheOptions() {}
ShardedCacheOptions(
size_t _capacity, int _num_shard_bits, bool _strict_capacity_limit,
std::shared_ptr<MemoryAllocator> _memory_allocator = nullptr,
CacheMetadataChargePolicy _metadata_charge_policy =
kDefaultCacheMetadataChargePolicy)
: capacity(_capacity),
num_shard_bits(_num_shard_bits),
strict_capacity_limit(_strict_capacity_limit),
memory_allocator(std::move(_memory_allocator)),
metadata_charge_policy(_metadata_charge_policy) {}
// Make ShardedCacheOptions polymorphic
virtual ~ShardedCacheOptions() = default;
};
// LRUCache - A cache using LRU eviction to stay at or below a set capacity.
// The cache is sharded to 2^num_shard_bits shards, by hash of the key.
// The total capacity is divided and evenly assigned to each shard, and each
// shard has its own LRU list for evictions. Each shard also has a mutex for
// exclusive access during operations; even read operations need exclusive
// access in order to update the LRU list. Mutex contention is usually low
// with enough shards.
struct LRUCacheOptions : public ShardedCacheOptions {
// Ratio of cache reserved for high-priority and low-priority entries,
// respectively. (See Cache::Priority below more information on the levels.)
// Valid values are between 0 and 1 (inclusive), and the sum of the two
// values cannot exceed 1.
//
// If high_pri_pool_ratio is greater than zero, a dedicated high-priority LRU
// list is maintained by the cache. A ratio of 0.5 means non-high-priority
// entries will use midpoint insertion. Similarly, if low_pri_pool_ratio is
// greater than zero, a dedicated low-priority LRU list is maintained.
// There is also a bottom-priority LRU list, which is always enabled and not
// explicitly configurable. Entries are spilled over to the next available
// lower-priority pool if a certain pool's capacity is exceeded.
//
// Entries with cache hits are inserted into the highest priority LRU list
// available regardless of the entry's priority. Entries without hits
// are inserted into highest priority LRU list available whose priority
// does not exceed the entry's priority. (For example, high-priority items
// with no hits are placed in the high-priority pool if available;
// otherwise, they are placed in the low-priority pool if available;
// otherwise, they are placed in the bottom-priority pool.) This results
// in lower-priority entries without hits getting evicted from the cache
// sooner.
double high_pri_pool_ratio = 0.5;
double low_pri_pool_ratio = 0.0;
// Whether to use adaptive mutexes for cache shards. Note that adaptive
// mutexes need to be supported by the platform in order for this to have any
// effect. The default value is true if RocksDB is compiled with
// -DROCKSDB_DEFAULT_TO_ADAPTIVE_MUTEX, false otherwise.
bool use_adaptive_mutex = kDefaultToAdaptiveMutex;
LRUCacheOptions() {}
LRUCacheOptions(size_t _capacity, int _num_shard_bits,
bool _strict_capacity_limit, double _high_pri_pool_ratio,
std::shared_ptr<MemoryAllocator> _memory_allocator = nullptr,
bool _use_adaptive_mutex = kDefaultToAdaptiveMutex,
CacheMetadataChargePolicy _metadata_charge_policy =
kDefaultCacheMetadataChargePolicy,
double _low_pri_pool_ratio = 0.0)
: ShardedCacheOptions(_capacity, _num_shard_bits, _strict_capacity_limit,
std::move(_memory_allocator),
_metadata_charge_policy),
high_pri_pool_ratio(_high_pri_pool_ratio),
low_pri_pool_ratio(_low_pri_pool_ratio),
use_adaptive_mutex(_use_adaptive_mutex) {}
// Construct an instance of LRUCache using these options
std::shared_ptr<Cache> MakeSharedCache() const;
// Construct an instance of LRUCache for use as a row cache, typically for
// `DBOptions::row_cache`. Some options are not relevant to row caches.
std::shared_ptr<RowCache> MakeSharedRowCache() const;
};
// DEPRECATED wrapper function
inline std::shared_ptr<Cache> NewLRUCache(
size_t capacity, int num_shard_bits = -1,
bool strict_capacity_limit = false, double high_pri_pool_ratio = 0.5,
std::shared_ptr<MemoryAllocator> memory_allocator = nullptr,
bool use_adaptive_mutex = kDefaultToAdaptiveMutex,
CacheMetadataChargePolicy metadata_charge_policy =
kDefaultCacheMetadataChargePolicy,
double low_pri_pool_ratio = 0.0) {
return LRUCacheOptions(capacity, num_shard_bits, strict_capacity_limit,
high_pri_pool_ratio, memory_allocator,
use_adaptive_mutex, metadata_charge_policy,
low_pri_pool_ratio)
.MakeSharedCache();
}
// DEPRECATED wrapper function
inline std::shared_ptr<Cache> NewLRUCache(const LRUCacheOptions& cache_opts) {
return cache_opts.MakeSharedCache();
}
// EXPERIMENTAL
// Options structure for configuring a SecondaryCache instance with in-memory
// compression. The implementation uses LRUCache so inherits its options,
// except LRUCacheOptions.secondary_cache is not used and should not be set.
struct CompressedSecondaryCacheOptions : LRUCacheOptions {
// The compression method (if any) that is used to compress data.
CompressionType compression_type = CompressionType::kLZ4Compression;
// Options specific to the compression algorithm
CompressionOptions compression_opts;
// compress_format_version can have two values:
// compress_format_version == 1 -- decompressed size is not included in the
// block header.
// compress_format_version == 2 -- decompressed size is included in the block
// header in varint32 format.
uint32_t compress_format_version = 2;
// Enable the custom split and merge feature, which split the compressed value
// into chunks so that they may better fit jemalloc bins.
bool enable_custom_split_merge = false;
// Kinds of entries that should not be compressed, but can be stored.
// (Filter blocks are essentially non-compressible but others usually are.)
CacheEntryRoleSet do_not_compress_roles = {CacheEntryRole::kFilterBlock};
CompressedSecondaryCacheOptions() {}
CompressedSecondaryCacheOptions(
size_t _capacity, int _num_shard_bits, bool _strict_capacity_limit,
double _high_pri_pool_ratio, double _low_pri_pool_ratio = 0.0,
std::shared_ptr<MemoryAllocator> _memory_allocator = nullptr,
bool _use_adaptive_mutex = kDefaultToAdaptiveMutex,
CacheMetadataChargePolicy _metadata_charge_policy =
kDefaultCacheMetadataChargePolicy,
CompressionType _compression_type = CompressionType::kLZ4Compression,
uint32_t _compress_format_version = 2,
bool _enable_custom_split_merge = false,
const CacheEntryRoleSet& _do_not_compress_roles =
{CacheEntryRole::kFilterBlock})
: LRUCacheOptions(_capacity, _num_shard_bits, _strict_capacity_limit,
_high_pri_pool_ratio, std::move(_memory_allocator),
_use_adaptive_mutex, _metadata_charge_policy,
_low_pri_pool_ratio),
compression_type(_compression_type),
compress_format_version(_compress_format_version),
enable_custom_split_merge(_enable_custom_split_merge),
do_not_compress_roles(_do_not_compress_roles) {}
// Construct an instance of CompressedSecondaryCache using these options
std::shared_ptr<SecondaryCache> MakeSharedSecondaryCache() const;
// Avoid confusion with LRUCache
std::shared_ptr<Cache> MakeSharedCache() const = delete;
};
// DEPRECATED wrapper function
inline std::shared_ptr<SecondaryCache> NewCompressedSecondaryCache(
size_t capacity, int num_shard_bits = -1,
bool strict_capacity_limit = false, double high_pri_pool_ratio = 0.5,
double low_pri_pool_ratio = 0.0,
std::shared_ptr<MemoryAllocator> memory_allocator = nullptr,
bool use_adaptive_mutex = kDefaultToAdaptiveMutex,
CacheMetadataChargePolicy metadata_charge_policy =
kDefaultCacheMetadataChargePolicy,
CompressionType compression_type = CompressionType::kLZ4Compression,
uint32_t compress_format_version = 2,
bool enable_custom_split_merge = false,
const CacheEntryRoleSet& _do_not_compress_roles = {
CacheEntryRole::kFilterBlock}) {
return CompressedSecondaryCacheOptions(
capacity, num_shard_bits, strict_capacity_limit,
high_pri_pool_ratio, low_pri_pool_ratio, memory_allocator,
use_adaptive_mutex, metadata_charge_policy, compression_type,
compress_format_version, enable_custom_split_merge,
_do_not_compress_roles)
.MakeSharedSecondaryCache();
}
// DEPRECATED wrapper function
inline std::shared_ptr<SecondaryCache> NewCompressedSecondaryCache(
const CompressedSecondaryCacheOptions& opts) {
return opts.MakeSharedSecondaryCache();
}
// HyperClockCache - A lock-free Cache alternative for RocksDB block cache
// that offers much improved CPU efficiency vs. LRUCache under high parallel
// load or high contention, with some caveats:
// * Not a general Cache implementation: can only be used for
// BlockBasedTableOptions::block_cache, which RocksDB uses in a way that is
// compatible with HyperClockCache.
// * Requires an extra tuning parameter: see estimated_entry_charge below.
// Similarly, substantially changing the capacity with SetCapacity could
// harm efficiency. -> EXPERIMENTAL: the tuning parameter can be set to 0
// to find the appropriate balance automatically.
// * Cache priorities are less aggressively enforced, which could cause
// cache dilution from long range scans (unless they use fill_cache=false).
//
// See internal cache/clock_cache.h for full description.
struct HyperClockCacheOptions : public ShardedCacheOptions {
// The estimated average `charge` associated with cache entries.
//
// EXPERIMENTAL: the field can be set to 0 to size the table dynamically
// and automatically. See also min_avg_entry_charge. This feature requires
// platform support for lazy anonymous memory mappings (incl Linux, Windows).
// Performance is very similar to choosing the best configuration parameter.
//
// PRODUCTION-TESTED: This is a critical configuration parameter for good
// performance, because having a table size that is fixed at creation time
// greatly reduces the required synchronization between threads.
// * If the estimate is substantially too low (e.g. less than half the true
// average) then metadata space overhead with be substantially higher (e.g.
// 200 bytes per entry rather than 100). With kFullChargeCacheMetadata, this
// can slightly reduce cache hit rates, and slightly reduce access times due
// to the larger working memory size.
// * If the estimate is substantially too high (e.g. 25% higher than the true
// average) then there might not be sufficient slots in the hash table for
// both efficient operation and capacity utilization (hit rate). The hyper
// cache will evict entries to prevent load factors that could dramatically
// affect lookup times, instead letting the hit rate suffer by not utilizing
// the full capacity.
//
// A reasonable choice is the larger of block_size and metadata_block_size.
// When WriteBufferManager (and similar) charge memory usage to the block
// cache, this can lead to the same effect as estimate being too low, which
// is better than the opposite. Therefore, the general recommendation is to
// assume that other memory charged to block cache could be negligible, and
// ignore it in making the estimate.
//
// The best parameter choice based on a cache in use is given by
// GetUsage() / GetOccupancyCount(), ignoring metadata overheads such as
// with kDontChargeCacheMetadata. More precisely with
// kFullChargeCacheMetadata is (GetUsage() - 64 * GetTableAddressCount()) /
// GetOccupancyCount(). However, when the average value size might vary
// (e.g. balance between metadata and data blocks in cache), it is better
// to estimate toward the lower side than the higher side.
size_t estimated_entry_charge;
// EXPERIMENTAL: When estimated_entry_charge == 0, this parameter establishes
// a promised lower bound on the average charge of all entries in the table,
// which is roughly the average uncompressed SST block size of block cache
// entries, typically > 4KB. The default should generally suffice with almost
// no cost. (This option is ignored for estimated_entry_charge > 0.)
//
// More detail: The table for indexing cache entries will grow automatically
// as needed, but a hard upper bound on that size is needed at creation time.
// The reason is that a contiguous memory mapping for the maximum size is
// created, but memory pages are only mapped to physical (RSS) memory as
// needed. If the average charge of all entries in the table falls below
// this value, the table will operate below its full logical capacity (total
// memory usage) because it has reached its physical capacity for efficiently
// indexing entries. The hash table is never allowed to exceed a certain safe
// load factor for efficient Lookup, Insert, etc.
size_t min_avg_entry_charge = 450;
// A tuning parameter to cap eviction CPU usage in a "thrashing" situation
// by allowing the memory capacity to be exceeded slightly as needed. The
// default setting should offer balanced protection against excessive CPU
// and memory usage under extreme stress conditions, with no effect on
// normal operation. Such stress conditions are proportionally more likely
// with small caches (10s of MB or less) vs. large caches (GB-scale).
// (NOTE: With the unusual setting of strict_capacity_limit=true, this
// parameter is ignored.)
//
// BACKGROUND: Without some kind of limiter, inserting into a CLOCK-based
// cache with no evictable entries (all "pinned") requires scanning the
// entire cache to determine that nothing can be evicted. (By contrast,
// LRU caches can determine no entries are evictable in O(1) time, but
// require more synchronization/coordination on that eviction metadata.)
// This aspect of a CLOCK cache can make a stressed situation worse by
// bogging down the CPU with repeated scans of the cache. And with
// strict_capacity_limit=false (normal setting), finding something evictable
// doesn't change the outcome of insertion: the entry is inserted anyway
// and the cache is allowed to exceed its target capacity if necessary.
//
// SOLUTION: Eviction is aborted upon seeing some number of pinned
// entries before evicting anything, or if the ratio of pinned to evicted
// is too high. This setting `eviction_effort_cap` essentially controls both
// that allowed initial number of pinned entries and the maximum allowed
// ratio. As the pinned size approaches the target cache capacity, roughly
// 1/eviction_effort_cap additional portion of the capacity might be kept
// in memory and evictable in order to keep CLOCK eviction reasonably
// performant. Under the default setting and high stress conditions, this
// memory overhead is around 3-5%. Under normal or even moderate stress
// conditions, the memory overhead is negligible to zero.
//
// A large value like 1000 offers some protection with essentially no
// memory overhead, while the minimum value of 1 could be useful for a
// small cache where roughly doubling in size under stress could be OK to
// keep operations very fast.
int eviction_effort_cap = 30;
HyperClockCacheOptions(
size_t _capacity, size_t _estimated_entry_charge,
int _num_shard_bits = -1, bool _strict_capacity_limit = false,
std::shared_ptr<MemoryAllocator> _memory_allocator = nullptr,
CacheMetadataChargePolicy _metadata_charge_policy =
kDefaultCacheMetadataChargePolicy)
: ShardedCacheOptions(_capacity, _num_shard_bits, _strict_capacity_limit,
std::move(_memory_allocator),
_metadata_charge_policy),
estimated_entry_charge(_estimated_entry_charge) {}
// Construct an instance of HyperClockCache using these options
std::shared_ptr<Cache> MakeSharedCache() const;
};
// DEPRECATED - The old Clock Cache implementation had an unresolved bug and
// has been removed. The new HyperClockCache requires an additional
// configuration parameter that is not provided by this API. This function
// simply returns a new LRUCache for functional compatibility.
std::shared_ptr<Cache> NewClockCache(
size_t capacity, int num_shard_bits = -1,
bool strict_capacity_limit = false,
CacheMetadataChargePolicy metadata_charge_policy =
kDefaultCacheMetadataChargePolicy);
enum PrimaryCacheType {
kCacheTypeLRU, // LRU cache type
kCacheTypeHCC, // Hyper Clock Cache type
kCacheTypeMax,
};
enum TieredAdmissionPolicy {
// Automatically select the admission policy
kAdmPolicyAuto,
// During promotion/demotion, first time insert a placeholder entry, second
// time insert the full entry if the placeholder is found, i.e insert on
// second hit
kAdmPolicyPlaceholder,
// Same as kAdmPolicyPlaceholder, but also if an entry in the primary cache
// was a hit, then force insert it into the compressed secondary cache
kAdmPolicyAllowCacheHits,
// An admission policy for three cache tiers - primary uncompressed,
// compressed secondary, and a compressed local flash (non-volatile) cache.
// Each tier is managed as an independent queue.
kAdmPolicyThreeQueue,
// Allow all blocks evicted from the primary block cache into the secondary
// cache. This may increase CPU overhead due to more blocks being admitted
// and compressed, but may increase the compressed secondary cache hit rate
// for some workloads
kAdmPolicyAllowAll,
kAdmPolicyMax,
};
// EXPERIMENTAL
// The following feature is experimental, and the API is subject to change
//
// A 2-tier cache with a primary block cache, and a compressed secondary
// cache. The returned cache instance will internally allocate a primary
// uncompressed cache of the specified type, and a compressed secondary
// cache. Any cache memory reservations, such as WriteBufferManager
// allocations costed to the block cache, will be distributed
// proportionally across both the primary and secondary.
struct TieredCacheOptions {
// This should point to an instance of either LRUCacheOptions or
// HyperClockCacheOptions, depending on the cache_type. In either
// case, the capacity and secondary_cache fields in those options
// should not be set. If set, they will be ignored by NewTieredCache.
ShardedCacheOptions* cache_opts = nullptr;
PrimaryCacheType cache_type = PrimaryCacheType::kCacheTypeLRU;
TieredAdmissionPolicy adm_policy = TieredAdmissionPolicy::kAdmPolicyAuto;
CompressedSecondaryCacheOptions comp_cache_opts;
// Any capacity specified in LRUCacheOptions, HyperClockCacheOptions and
// CompressedSecondaryCacheOptions is ignored
// The total_capacity specified here is taken as the memory budget and
// divided between the primary block cache and compressed secondary cache
size_t total_capacity = 0;
double compressed_secondary_ratio = 0.0;
// An optional secondary cache that will serve as the persistent cache
// tier. If present, compressed blocks will be written to this
// secondary cache.
std::shared_ptr<SecondaryCache> nvm_sec_cache;
};
std::shared_ptr<Cache> NewTieredCache(const TieredCacheOptions& cache_opts);
// EXPERIMENTAL
// Dynamically update some of the parameters of a TieredCache. The input
// cache shared_ptr should have been allocated using NewTieredVolatileCache.
// At the moment, there are a couple of limitations -
// 1. The total_capacity should be > the WriteBufferManager max size, if
// using the block cache charging feature
// 2. Once the compressed secondary cache is disabled by setting the
// compressed_secondary_ratio to 0.0, it cannot be dynamically re-enabled
// again
Status UpdateTieredCache(
const std::shared_ptr<Cache>& cache, int64_t total_capacity = -1,
double compressed_secondary_ratio = std::numeric_limits<double>::max(),
TieredAdmissionPolicy adm_policy = TieredAdmissionPolicy::kAdmPolicyMax);
} // namespace ROCKSDB_NAMESPACE