2016-04-21 21:20:05 +02:00
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// Copyright (c) 2013, Facebook, Inc. All rights reserved.
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree. An additional grant
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// of patent rights can be found in the PATENTS file in the same directory.
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2017-04-28 02:50:56 +02:00
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// This source code is also licensed under the GPLv2 license found in the
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// COPYING file in the root directory of this source tree.
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2016-04-21 21:20:05 +02:00
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//
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#pragma once
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#ifndef ROCKSDB_LITE
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#include <limits>
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#include <list>
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#include <map>
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#include <string>
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#include <vector>
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2017-04-06 04:02:00 +02:00
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#include "monitoring/histogram.h"
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2016-04-21 21:20:05 +02:00
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#include "rocksdb/env.h"
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#include "rocksdb/persistent_cache.h"
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#include "rocksdb/status.h"
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// Persistent Cache
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//
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// Persistent cache is tiered key-value cache that can use persistent medium. It
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// is a generic design and can leverage any storage medium -- disk/SSD/NVM/RAM.
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// The code has been kept generic but significant benchmark/design/development
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// time has been spent to make sure the cache performs appropriately for
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// respective storage medium.
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// The file defines
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// PersistentCacheTier : Implementation that handles individual cache tier
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// PersistentTieresCache : Implementation that handles all tiers as a logical
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// unit
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//
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// PersistentTieredCache architecture:
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// +--------------------------+ PersistentCacheTier that handles multiple tiers
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// | +----------------+ |
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// | | RAM | PersistentCacheTier that handles RAM (VolatileCacheImpl)
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// | +----------------+ |
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// | | next |
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// | v |
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// | +----------------+ |
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// | | NVM | PersistentCacheTier implementation that handles NVM
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// | +----------------+ (BlockCacheImpl)
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// | | next |
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// | V |
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// | +----------------+ |
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// | | LE-SSD | PersistentCacheTier implementation that handles LE-SSD
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// | +----------------+ (BlockCacheImpl)
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// | | |
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// | V |
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// | null |
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// +--------------------------+
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// |
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// V
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// null
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namespace rocksdb {
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2016-05-03 20:05:42 +02:00
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// Persistent Cache Config
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//
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// This struct captures all the options that are used to configure persistent
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// cache. Some of the terminologies used in naming the options are
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//
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// dispatch size :
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// This is the size in which IO is dispatched to the device
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//
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// write buffer size :
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// This is the size of an individual write buffer size. Write buffers are
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// grouped to form buffered file.
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//
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// cache size :
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// This is the logical maximum for the cache size
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//
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// qdepth :
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// This is the max number of IOs that can issues to the device in parallel
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//
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// pepeling :
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// The writer code path follows pipelined architecture, which means the
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// operations are handed off from one stage to another
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//
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// pipelining backlog size :
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// With the pipelined architecture, there can always be backlogging of ops in
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// pipeline queues. This is the maximum backlog size after which ops are dropped
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// from queue
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struct PersistentCacheConfig {
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explicit PersistentCacheConfig(
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Env* const _env, const std::string& _path, const uint64_t _cache_size,
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const std::shared_ptr<Logger>& _log,
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const uint32_t _write_buffer_size = 1 * 1024 * 1024 /*1MB*/) {
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env = _env;
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path = _path;
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log = _log;
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cache_size = _cache_size;
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writer_dispatch_size = write_buffer_size = _write_buffer_size;
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}
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//
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// Validate the settings. Our intentions are to catch erroneous settings ahead
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// of time instead going violating invariants or causing dead locks.
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//
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Status ValidateSettings() const {
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// (1) check pre-conditions for variables
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if (!env || path.empty()) {
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return Status::InvalidArgument("empty or null args");
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}
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// (2) assert size related invariants
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// - cache size cannot be less than cache file size
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// - individual write buffer size cannot be greater than cache file size
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// - total write buffer size cannot be less than 2X cache file size
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if (cache_size < cache_file_size || write_buffer_size >= cache_file_size ||
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write_buffer_size * write_buffer_count() < 2 * cache_file_size) {
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return Status::InvalidArgument("invalid cache size");
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}
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// (2) check writer settings
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// - Queue depth cannot be 0
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// - writer_dispatch_size cannot be greater than writer_buffer_size
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// - dispatch size and buffer size need to be aligned
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if (!writer_qdepth || writer_dispatch_size > write_buffer_size ||
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write_buffer_size % writer_dispatch_size) {
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return Status::InvalidArgument("invalid writer settings");
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}
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return Status::OK();
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}
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//
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// Env abstraction to use for systmer level operations
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//
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Env* env;
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//
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// Path for the block cache where blocks are persisted
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//
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std::string path;
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//
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// Log handle for logging messages
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//
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std::shared_ptr<Logger> log;
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//
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// Enable direct IO for reading
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//
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bool enable_direct_reads = true;
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//
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// Enable direct IO for writing
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//
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bool enable_direct_writes = false;
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//
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// Logical cache size
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//
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uint64_t cache_size = std::numeric_limits<uint64_t>::max();
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// cache-file-size
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//
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// Cache consists of multiples of small files. This parameter defines the
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// size of an individual cache file
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//
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// default: 1M
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uint32_t cache_file_size = 100ULL * 1024 * 1024;
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// writer-qdepth
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//
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// The writers can issues IO to the devices in parallel. This parameter
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// controls the max number if IOs that can issues in parallel to the block
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// device
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//
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// default :1
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uint32_t writer_qdepth = 1;
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// pipeline-writes
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//
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// The write optionally follow pipelined architecture. This helps
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// avoid regression in the eviction code path of the primary tier. This
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// parameter defines if pipelining is enabled or disabled
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//
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// default: true
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2016-05-05 20:50:30 +02:00
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bool pipeline_writes = true;
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2016-05-03 20:05:42 +02:00
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// max-write-pipeline-backlog-size
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//
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// Max pipeline buffer size. This is the maximum backlog we can accumulate
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// while waiting for writes. After the limit, new ops will be dropped.
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//
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// Default: 1GiB
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uint64_t max_write_pipeline_backlog_size = 1ULL * 1024 * 1024 * 1024;
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// write-buffer-size
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//
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// This is the size in which buffer slabs are allocated.
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//
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// Default: 1M
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uint32_t write_buffer_size = 1ULL * 1024 * 1024;
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// write-buffer-count
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//
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// This is the total number of buffer slabs. This is calculated as a factor of
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// file size in order to avoid dead lock.
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size_t write_buffer_count() const {
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assert(write_buffer_size);
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2016-08-03 23:23:21 +02:00
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return static_cast<size_t>((writer_qdepth + 1.2) * cache_file_size /
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write_buffer_size);
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}
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// writer-dispatch-size
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//
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// The writer thread will dispatch the IO at the specified IO size
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//
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// default: 1M
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uint64_t writer_dispatch_size = 1ULL * 1024 * 1024;
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// is_compressed
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//
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// This option determines if the cache will run in compressed mode or
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// uncompressed mode
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bool is_compressed = true;
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PersistentCacheConfig MakePersistentCacheConfig(
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const std::string& path, const uint64_t size,
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const std::shared_ptr<Logger>& log);
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2016-12-19 23:00:04 +01:00
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std::string ToString() const;
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2016-05-03 20:05:42 +02:00
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};
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2016-04-21 21:20:05 +02:00
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// Persistent Cache Tier
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//
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// This a logical abstraction that defines a tier of the persistent cache. Tiers
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// can be stacked over one another. PersistentCahe provides the basic definition
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// for accessing/storing in the cache. PersistentCacheTier extends the interface
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// to enable management and stacking of tiers.
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class PersistentCacheTier : public PersistentCache {
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public:
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typedef std::shared_ptr<PersistentCacheTier> Tier;
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virtual ~PersistentCacheTier() {}
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// Open the persistent cache tier
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virtual Status Open();
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// Close the persistent cache tier
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virtual Status Close();
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// Reserve space up to 'size' bytes
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virtual bool Reserve(const size_t size);
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// Erase a key from the cache
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virtual bool Erase(const Slice& key);
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// Print stats to string recursively
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virtual std::string PrintStats();
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2016-11-22 02:22:01 +01:00
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virtual PersistentCache::StatsType Stats();
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// Insert to page cache
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virtual Status Insert(const Slice& page_key, const char* data,
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const size_t size) = 0;
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// Lookup page cache by page identifier
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virtual Status Lookup(const Slice& page_key, std::unique_ptr<char[]>* data,
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size_t* size) = 0;
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2016-05-03 20:05:42 +02:00
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// Does it store compressed data ?
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virtual bool IsCompressed() = 0;
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2016-12-19 23:00:04 +01:00
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virtual std::string GetPrintableOptions() const = 0;
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2016-04-21 21:20:05 +02:00
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// Return a reference to next tier
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virtual Tier& next_tier() { return next_tier_; }
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// Set the value for next tier
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virtual void set_next_tier(const Tier& tier) {
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assert(!next_tier_);
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next_tier_ = tier;
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}
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2016-05-03 20:05:42 +02:00
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virtual void TEST_Flush() {
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if (next_tier_) {
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next_tier_->TEST_Flush();
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}
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}
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2016-04-21 21:20:05 +02:00
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private:
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Tier next_tier_; // next tier
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};
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// PersistentTieredCache
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//
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// Abstraction that helps you construct a tiers of persistent caches as a
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// unified cache. The tier(s) of cache will act a single tier for management
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// ease and support PersistentCache methods for accessing data.
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class PersistentTieredCache : public PersistentCacheTier {
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public:
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virtual ~PersistentTieredCache();
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Status Open() override;
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Status Close() override;
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bool Erase(const Slice& key) override;
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std::string PrintStats() override;
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2016-11-22 02:22:01 +01:00
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PersistentCache::StatsType Stats() override;
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2016-04-21 21:20:05 +02:00
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Status Insert(const Slice& page_key, const char* data,
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const size_t size) override;
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Status Lookup(const Slice& page_key, std::unique_ptr<char[]>* data,
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size_t* size) override;
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bool IsCompressed() override;
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2016-12-19 23:00:04 +01:00
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std::string GetPrintableOptions() const override {
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return "PersistentTieredCache";
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}
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2016-04-21 21:20:05 +02:00
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void AddTier(const Tier& tier);
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Tier& next_tier() override {
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auto it = tiers_.end();
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return (*it)->next_tier();
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}
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void set_next_tier(const Tier& tier) override {
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auto it = tiers_.end();
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(*it)->set_next_tier(tier);
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}
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2016-05-03 20:05:42 +02:00
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void TEST_Flush() override {
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assert(!tiers_.empty());
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tiers_.front()->TEST_Flush();
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PersistentCacheTier::TEST_Flush();
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}
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2016-04-21 21:20:05 +02:00
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protected:
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std::list<Tier> tiers_; // list of tiers top-down
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};
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} // namespace rocksdb
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#endif
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