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5724348689
Summary: * Consolidates most metadata into a single word per slot so that more can be accomplished with a single atomic update. In the common case, Lookup was previously about 4 atomic updates, now just 1 atomic update. Common case Release was previously 1 atomic read + 1 atomic update, now just 1 atomic update. * Eliminate spins / waits / yields, which likely threaten some "lock free" benefits. Compare-exchange loops are only used in explicit Erase, and strict_capacity_limit=true Insert. Eviction uses opportunistic compare- exchange. * Relaxes some aggressiveness and guarantees. For example, * Duplicate Inserts will sometimes go undetected and the shadow duplicate will age out with eviction. * In many cases, the older Inserted value for a given cache key will be kept (i.e. Insert does not support overwrite). * Entries explicitly erased (rather than evicted) might not be freed immediately in some rare cases. * With strict_capacity_limit=false, capacity limit is not tracked/enforced as precisely as LRUCache, but is self-correcting and should only deviate by a very small number of extra or fewer entries. * Use smaller "computed default" number of cache shards in many cases, because benefits to larger usage tracking / eviction pools outweigh the small cost of more lock-free atomic contention. The improvement in CPU and I/O is dramatic in some limit-memory cases. * Even without the sharding change, the eviction algorithm is likely more effective than LRU overall because it's more stateful, even though the "hot path" state tracking for it is essentially free with ref counting. It is like a generalized CLOCK with aging (see code comments). I don't have performance numbers showing a specific improvement, but in theory, for a Poisson access pattern to each block, keeping some state allows better estimation of time to next access (Poisson interval) than strict LRU. The bounded randomness in CLOCK can also reduce "cliff" effect for repeated range scans approaching and exceeding cache size. ## Hot path algorithm comparison Rough descriptions, focusing on number and kind of atomic operations: * Old `Lookup()` (2-5 atomic updates per probe): ``` Loop: Increment internal ref count at slot If possible hit: Check flags atomic (and non-atomic fields) If cache hit: Three distinct updates to 'flags' atomic Increment refs for internal-to-external Return Decrement internal ref count while atomic read 'displacements' > 0 ``` * New `Lookup()` (1-2 atomic updates per probe): ``` Loop: Increment acquire counter in meta word (optimistic) If visible entry (already read meta word): If match (read non-atomic fields): Return Else: Decrement acquire counter in meta word Else if invisible entry (rare, already read meta word): Decrement acquire counter in meta word while atomic read 'displacements' > 0 ``` * Old `Release()` (1 atomic update, conditional on atomic read, rarely more): ``` Read atomic ref count If last reference and invisible (rare): Use CAS etc. to remove Return Else: Decrement ref count ``` * New `Release()` (1 unconditional atomic update, rarely more): ``` Increment release counter in meta word If last reference and invisible (rare): Use CAS etc. to remove Return ``` ## Performance test setup Build DB 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 -readonly -num=30000000 -bloom_bits=16 -cache_index_and_filter_blocks=1 -cache_size=${CACHE_MB}000000 -duration 60 -threads=$THREADS -statistics ``` Numbers on a single socket Skylake Xeon system with 48 hardware threads, DEBUG_LEVEL=0 PORTABLE=0. Very similar story on a dual socket system with 80 hardware threads. Using (every 2nd) Fibonacci MB cache sizes to sample the territory between powers of two. Configurations: base: LRUCache before this change, but with db_bench change to default cache_numshardbits=-1 (instead of fixed at 6) folly: LRUCache before this change, with folly enabled (distributed mutex) but on an old compiler (sorry) gt_clock: experimental ClockCache before this change new_clock: experimental ClockCache with this change ## Performance test results First test "hot path" read performance, with block cache large enough for whole DB: 4181MB 1thread base -> kops/s: 47.761 4181MB 1thread folly -> kops/s: 45.877 4181MB 1thread gt_clock -> kops/s: 51.092 4181MB 1thread new_clock -> kops/s: 53.944 4181MB 16thread base -> kops/s: 284.567 4181MB 16thread folly -> kops/s: 249.015 4181MB 16thread gt_clock -> kops/s: 743.762 4181MB 16thread new_clock -> kops/s: 861.821 4181MB 24thread base -> kops/s: 303.415 4181MB 24thread folly -> kops/s: 266.548 4181MB 24thread gt_clock -> kops/s: 975.706 4181MB 24thread new_clock -> kops/s: 1205.64 (~= 24 * 53.944) 4181MB 32thread base -> kops/s: 311.251 4181MB 32thread folly -> kops/s: 274.952 4181MB 32thread gt_clock -> kops/s: 1045.98 4181MB 32thread new_clock -> kops/s: 1370.38 4181MB 48thread base -> kops/s: 310.504 4181MB 48thread folly -> kops/s: 268.322 4181MB 48thread gt_clock -> kops/s: 1195.65 4181MB 48thread new_clock -> kops/s: 1604.85 (~= 24 * 1.25 * 53.944) 4181MB 64thread base -> kops/s: 307.839 4181MB 64thread folly -> kops/s: 272.172 4181MB 64thread gt_clock -> kops/s: 1204.47 4181MB 64thread new_clock -> kops/s: 1615.37 4181MB 128thread base -> kops/s: 310.934 4181MB 128thread folly -> kops/s: 267.468 4181MB 128thread gt_clock -> kops/s: 1188.75 4181MB 128thread new_clock -> kops/s: 1595.46 Whether we have just one thread on a quiet system or an overload of threads, the new version wins every time in thousand-ops per second, sometimes dramatically so. Mutex-based implementation quickly becomes contention-limited. New clock cache shows essentially perfect scaling up to number of physical cores (24), and then each hyperthreaded core adding about 1/4 the throughput of an additional physical core (see 48 thread case). Block cache miss rates (omitted above) are negligible across the board. With partitioned instead of full filters, the maximum speed-up vs. base is more like 2.5x rather than 5x. Now test a large block cache with low miss ratio, but some eviction is required: 1597MB 1thread base -> kops/s: 46.603 io_bytes/op: 1584.63 miss_ratio: 0.0201066 max_rss_mb: 1589.23 1597MB 1thread folly -> kops/s: 45.079 io_bytes/op: 1530.03 miss_ratio: 0.019872 max_rss_mb: 1550.43 1597MB 1thread gt_clock -> kops/s: 48.711 io_bytes/op: 1566.63 miss_ratio: 0.0198923 max_rss_mb: 1691.4 1597MB 1thread new_clock -> kops/s: 51.531 io_bytes/op: 1589.07 miss_ratio: 0.0201969 max_rss_mb: 1583.56 1597MB 32thread base -> kops/s: 301.174 io_bytes/op: 1439.52 miss_ratio: 0.0184218 max_rss_mb: 1656.59 1597MB 32thread folly -> kops/s: 273.09 io_bytes/op: 1375.12 miss_ratio: 0.0180002 max_rss_mb: 1586.8 1597MB 32thread gt_clock -> kops/s: 904.497 io_bytes/op: 1411.29 miss_ratio: 0.0179934 max_rss_mb: 1775.89 1597MB 32thread new_clock -> kops/s: 1182.59 io_bytes/op: 1440.77 miss_ratio: 0.0185449 max_rss_mb: 1636.45 1597MB 128thread base -> kops/s: 309.91 io_bytes/op: 1438.25 miss_ratio: 0.018399 max_rss_mb: 1689.98 1597MB 128thread folly -> kops/s: 267.605 io_bytes/op: 1394.16 miss_ratio: 0.0180286 max_rss_mb: 1631.91 1597MB 128thread gt_clock -> kops/s: 691.518 io_bytes/op: 9056.73 miss_ratio: 0.0186572 max_rss_mb: 1982.26 1597MB 128thread new_clock -> kops/s: 1406.12 io_bytes/op: 1440.82 miss_ratio: 0.0185463 max_rss_mb: 1685.63 610MB 1thread base -> kops/s: 45.511 io_bytes/op: 2279.61 miss_ratio: 0.0290528 max_rss_mb: 615.137 610MB 1thread folly -> kops/s: 43.386 io_bytes/op: 2217.29 miss_ratio: 0.0289282 max_rss_mb: 600.996 610MB 1thread gt_clock -> kops/s: 46.207 io_bytes/op: 2275.51 miss_ratio: 0.0290057 max_rss_mb: 637.934 610MB 1thread new_clock -> kops/s: 48.879 io_bytes/op: 2283.1 miss_ratio: 0.0291253 max_rss_mb: 613.5 610MB 32thread base -> kops/s: 306.59 io_bytes/op: 2250 miss_ratio: 0.0288721 max_rss_mb: 683.402 610MB 32thread folly -> kops/s: 269.176 io_bytes/op: 2187.86 miss_ratio: 0.0286938 max_rss_mb: 628.742 610MB 32thread gt_clock -> kops/s: 855.097 io_bytes/op: 2279.26 miss_ratio: 0.0288009 max_rss_mb: 733.062 610MB 32thread new_clock -> kops/s: 1121.47 io_bytes/op: 2244.29 miss_ratio: 0.0289046 max_rss_mb: 666.453 610MB 128thread base -> kops/s: 305.079 io_bytes/op: 2252.43 miss_ratio: 0.0288884 max_rss_mb: 723.457 610MB 128thread folly -> kops/s: 269.583 io_bytes/op: 2204.58 miss_ratio: 0.0287001 max_rss_mb: 676.426 610MB 128thread gt_clock -> kops/s: 53.298 io_bytes/op: 8128.98 miss_ratio: 0.0292452 max_rss_mb: 956.273 610MB 128thread new_clock -> kops/s: 1301.09 io_bytes/op: 2246.04 miss_ratio: 0.0289171 max_rss_mb: 788.812 The new version is still winning every time, sometimes dramatically so, and we can tell from the maximum resident memory numbers (which contain some noise, by the way) that the new cache is not cheating on memory usage. IMPORTANT: The previous generation experimental clock cache appears to hit a serious bottleneck in the higher thread count configurations, presumably due to some of its waiting functionality. (The same bottleneck is not seen with partitioned index+filters.) Now we consider even smaller cache sizes, with higher miss ratios, eviction work, etc. 233MB 1thread base -> kops/s: 10.557 io_bytes/op: 227040 miss_ratio: 0.0403105 max_rss_mb: 247.371 233MB 1thread folly -> kops/s: 15.348 io_bytes/op: 112007 miss_ratio: 0.0372238 max_rss_mb: 245.293 233MB 1thread gt_clock -> kops/s: 6.365 io_bytes/op: 244854 miss_ratio: 0.0413873 max_rss_mb: 259.844 233MB 1thread new_clock -> kops/s: 47.501 io_bytes/op: 2591.93 miss_ratio: 0.0330989 max_rss_mb: 242.461 233MB 32thread base -> kops/s: 96.498 io_bytes/op: 363379 miss_ratio: 0.0459966 max_rss_mb: 479.227 233MB 32thread folly -> kops/s: 109.95 io_bytes/op: 314799 miss_ratio: 0.0450032 max_rss_mb: 400.738 233MB 32thread gt_clock -> kops/s: 2.353 io_bytes/op: 385397 miss_ratio: 0.048445 max_rss_mb: 500.688 233MB 32thread new_clock -> kops/s: 1088.95 io_bytes/op: 2567.02 miss_ratio: 0.0330593 max_rss_mb: 303.402 233MB 128thread base -> kops/s: 84.302 io_bytes/op: 378020 miss_ratio: 0.0466558 max_rss_mb: 1051.84 233MB 128thread folly -> kops/s: 89.921 io_bytes/op: 338242 miss_ratio: 0.0460309 max_rss_mb: 812.785 233MB 128thread gt_clock -> kops/s: 2.588 io_bytes/op: 462833 miss_ratio: 0.0509158 max_rss_mb: 1109.94 233MB 128thread new_clock -> kops/s: 1299.26 io_bytes/op: 2565.94 miss_ratio: 0.0330531 max_rss_mb: 361.016 89MB 1thread base -> kops/s: 0.574 io_bytes/op: 5.35977e+06 miss_ratio: 0.274427 max_rss_mb: 91.3086 89MB 1thread folly -> kops/s: 0.578 io_bytes/op: 5.16549e+06 miss_ratio: 0.27276 max_rss_mb: 96.8984 89MB 1thread gt_clock -> kops/s: 0.512 io_bytes/op: 4.13111e+06 miss_ratio: 0.242817 max_rss_mb: 119.441 89MB 1thread new_clock -> kops/s: 48.172 io_bytes/op: 2709.76 miss_ratio: 0.0346162 max_rss_mb: 100.754 89MB 32thread base -> kops/s: 5.779 io_bytes/op: 6.14192e+06 miss_ratio: 0.320399 max_rss_mb: 311.812 89MB 32thread folly -> kops/s: 5.601 io_bytes/op: 5.83838e+06 miss_ratio: 0.313123 max_rss_mb: 252.418 89MB 32thread gt_clock -> kops/s: 0.77 io_bytes/op: 3.99236e+06 miss_ratio: 0.236296 max_rss_mb: 396.422 89MB 32thread new_clock -> kops/s: 1064.97 io_bytes/op: 2687.23 miss_ratio: 0.0346134 max_rss_mb: 155.293 89MB 128thread base -> kops/s: 4.959 io_bytes/op: 6.20297e+06 miss_ratio: 0.323945 max_rss_mb: 823.43 89MB 128thread folly -> kops/s: 4.962 io_bytes/op: 5.9601e+06 miss_ratio: 0.319857 max_rss_mb: 626.824 89MB 128thread gt_clock -> kops/s: 1.009 io_bytes/op: 4.1083e+06 miss_ratio: 0.242512 max_rss_mb: 1095.32 89MB 128thread new_clock -> kops/s: 1224.39 io_bytes/op: 2688.2 miss_ratio: 0.0346207 max_rss_mb: 218.223 ^ Now something interesting has happened: the new clock cache has gained a dramatic lead in the single-threaded case, and this is because the cache is so small, and full filters are so big, that dividing the cache into 64 shards leads to significant (random) imbalances in cache shards and excessive churn in imbalanced shards. This new clock cache only uses two shards for this configuration, and that helps to ensure that entries are part of a sufficiently big pool that their eviction order resembles the single-shard order. (This effect is not seen with partitioned index+filters.) Even smaller cache size: 34MB 1thread base -> kops/s: 0.198 io_bytes/op: 1.65342e+07 miss_ratio: 0.939466 max_rss_mb: 48.6914 34MB 1thread folly -> kops/s: 0.201 io_bytes/op: 1.63416e+07 miss_ratio: 0.939081 max_rss_mb: 45.3281 34MB 1thread gt_clock -> kops/s: 0.448 io_bytes/op: 4.43957e+06 miss_ratio: 0.266749 max_rss_mb: 100.523 34MB 1thread new_clock -> kops/s: 1.055 io_bytes/op: 1.85439e+06 miss_ratio: 0.107512 max_rss_mb: 75.3125 34MB 32thread base -> kops/s: 3.346 io_bytes/op: 1.64852e+07 miss_ratio: 0.93596 max_rss_mb: 180.48 34MB 32thread folly -> kops/s: 3.431 io_bytes/op: 1.62857e+07 miss_ratio: 0.935693 max_rss_mb: 137.531 34MB 32thread gt_clock -> kops/s: 1.47 io_bytes/op: 4.89704e+06 miss_ratio: 0.295081 max_rss_mb: 392.465 34MB 32thread new_clock -> kops/s: 8.19 io_bytes/op: 3.70456e+06 miss_ratio: 0.20826 max_rss_mb: 519.793 34MB 128thread base -> kops/s: 2.293 io_bytes/op: 1.64351e+07 miss_ratio: 0.931866 max_rss_mb: 449.484 34MB 128thread folly -> kops/s: 2.34 io_bytes/op: 1.6219e+07 miss_ratio: 0.932023 max_rss_mb: 396.457 34MB 128thread gt_clock -> kops/s: 1.798 io_bytes/op: 5.4241e+06 miss_ratio: 0.324881 max_rss_mb: 1104.41 34MB 128thread new_clock -> kops/s: 10.519 io_bytes/op: 2.39354e+06 miss_ratio: 0.136147 max_rss_mb: 1050.52 As the miss ratio gets higher (say, above 10%), the CPU time spent in eviction starts to erode the advantage of using fewer shards (13% miss rate much lower than 94%). LRU's O(1) eviction time can eventually pay off when there's enough block cache churn: 13MB 1thread base -> kops/s: 0.195 io_bytes/op: 1.65732e+07 miss_ratio: 0.946604 max_rss_mb: 45.6328 13MB 1thread folly -> kops/s: 0.197 io_bytes/op: 1.63793e+07 miss_ratio: 0.94661 max_rss_mb: 33.8633 13MB 1thread gt_clock -> kops/s: 0.519 io_bytes/op: 4.43316e+06 miss_ratio: 0.269379 max_rss_mb: 100.684 13MB 1thread new_clock -> kops/s: 0.176 io_bytes/op: 1.54148e+07 miss_ratio: 0.91545 max_rss_mb: 66.2383 13MB 32thread base -> kops/s: 3.266 io_bytes/op: 1.65544e+07 miss_ratio: 0.943386 max_rss_mb: 132.492 13MB 32thread folly -> kops/s: 3.396 io_bytes/op: 1.63142e+07 miss_ratio: 0.943243 max_rss_mb: 101.863 13MB 32thread gt_clock -> kops/s: 2.758 io_bytes/op: 5.13714e+06 miss_ratio: 0.310652 max_rss_mb: 396.121 13MB 32thread new_clock -> kops/s: 3.11 io_bytes/op: 1.23419e+07 miss_ratio: 0.708425 max_rss_mb: 321.758 13MB 128thread base -> kops/s: 2.31 io_bytes/op: 1.64823e+07 miss_ratio: 0.939543 max_rss_mb: 425.539 13MB 128thread folly -> kops/s: 2.339 io_bytes/op: 1.6242e+07 miss_ratio: 0.939966 max_rss_mb: 346.098 13MB 128thread gt_clock -> kops/s: 3.223 io_bytes/op: 5.76928e+06 miss_ratio: 0.345899 max_rss_mb: 1087.77 13MB 128thread new_clock -> kops/s: 2.984 io_bytes/op: 1.05341e+07 miss_ratio: 0.606198 max_rss_mb: 898.27 gt_clock is clearly blowing way past its memory budget for lower miss rates and best throughput. new_clock also seems to be exceeding budgets, and this warrants more investigation but is not the use case we are targeting with the new cache. With partitioned index+filter, the miss ratio is much better, and although still high enough that the eviction CPU time is definitely offsetting mutex contention: 13MB 1thread base -> kops/s: 16.326 io_bytes/op: 23743.9 miss_ratio: 0.205362 max_rss_mb: 65.2852 13MB 1thread folly -> kops/s: 15.574 io_bytes/op: 19415 miss_ratio: 0.184157 max_rss_mb: 56.3516 13MB 1thread gt_clock -> kops/s: 14.459 io_bytes/op: 22873 miss_ratio: 0.198355 max_rss_mb: 63.9688 13MB 1thread new_clock -> kops/s: 16.34 io_bytes/op: 24386.5 miss_ratio: 0.210512 max_rss_mb: 61.707 13MB 128thread base -> kops/s: 289.786 io_bytes/op: 23710.9 miss_ratio: 0.205056 max_rss_mb: 103.57 13MB 128thread folly -> kops/s: 185.282 io_bytes/op: 19433.1 miss_ratio: 0.184275 max_rss_mb: 116.219 13MB 128thread gt_clock -> kops/s: 354.451 io_bytes/op: 23150.6 miss_ratio: 0.200495 max_rss_mb: 102.871 13MB 128thread new_clock -> kops/s: 295.359 io_bytes/op: 24626.4 miss_ratio: 0.212452 max_rss_mb: 121.109 Pull Request resolved: https://github.com/facebook/rocksdb/pull/10626 Test Plan: updated unit tests, stress/crash test runs including with TSAN, ASAN, UBSAN Reviewed By: anand1976 Differential Revision: D39368406 Pulled By: pdillinger fbshipit-source-id: 5afc44da4c656f8f751b44552bbf27bd3ca6fef9
567 lines
20 KiB
C++
567 lines
20 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 can be freed when refs becomes 0.
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// (refs >= 1 && in_cache == false)
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// 4. The handle is never inserted into the LRUCache (both hash table and LRU
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// list) and it doesn't experience the above three states.
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// The entry can be freed when refs becomes 0.
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// (refs >= 1 && in_cache == false && IS_STANDALONE == true)
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// All newly created LRUHandles are in state 1 or 4. If you call
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// LRUCacheShard::Release on entry in state 1, it will go into state 2.
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// To move from state 1 to state 3, either call LRUCacheShard::Erase or
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// LRUCacheShard::Insert with the same key (but possibly different value).
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// To move from state 2 to state 1, use LRUCacheShard::Lookup.
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// Before destruction, make sure that no handles are in state 1. This means
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// that any successful LRUCacheShard::Lookup/LRUCacheShard::Insert have a
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// matching LRUCache::Release (to move into state 2) or LRUCacheShard::Erase
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// (to move into state 3).
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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 ShardedCache::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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enum Flags : uint16_t {
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// Whether this entry is referenced by the hash table.
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IN_CACHE = (1 << 0),
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// Whether this entry is high priority entry.
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IS_HIGH_PRI = (1 << 1),
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// Whether this entry is in high-pri pool.
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IN_HIGH_PRI_POOL = (1 << 2),
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// Whether this entry has had any lookups (hits).
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HAS_HIT = (1 << 3),
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// Can this be inserted into the secondary cache.
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IS_SECONDARY_CACHE_COMPATIBLE = (1 << 4),
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// Is the handle still being read from a lower tier.
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IS_PENDING = (1 << 5),
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// Whether this handle is still in a lower tier
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IS_IN_SECONDARY_CACHE = (1 << 6),
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// Whether this entry is low priority entry.
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IS_LOW_PRI = (1 << 7),
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// Whether this entry is in low-pri pool.
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IN_LOW_PRI_POOL = (1 << 8),
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// Whether this entry is not inserted into the cache (both hash table and
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// LRU list).
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IS_STANDALONE = (1 << 9),
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};
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uint16_t flags;
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#ifdef __SANITIZE_THREAD__
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// TSAN can report a false data race on flags, where one thread is writing
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// to one of the mutable bits and another thread is reading this immutable
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// bit. So precisely suppress that TSAN warning, we separate out this bit
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// during TSAN runs.
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bool is_secondary_cache_compatible_for_tsan;
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#endif // __SANITIZE_THREAD__
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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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// 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 flags & IN_CACHE; }
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bool IsHighPri() const { return flags & IS_HIGH_PRI; }
|
|
bool InHighPriPool() const { return flags & IN_HIGH_PRI_POOL; }
|
|
bool IsLowPri() const { return flags & IS_LOW_PRI; }
|
|
bool InLowPriPool() const { return flags & IN_LOW_PRI_POOL; }
|
|
bool HasHit() const { return flags & HAS_HIT; }
|
|
bool IsSecondaryCacheCompatible() const {
|
|
#ifdef __SANITIZE_THREAD__
|
|
return is_secondary_cache_compatible_for_tsan;
|
|
#else
|
|
return flags & IS_SECONDARY_CACHE_COMPATIBLE;
|
|
#endif // __SANITIZE_THREAD__
|
|
}
|
|
bool IsPending() const { return flags & IS_PENDING; }
|
|
bool IsInSecondaryCache() const { return flags & IS_IN_SECONDARY_CACHE; }
|
|
bool IsStandalone() const { return flags & IS_STANDALONE; }
|
|
|
|
void SetInCache(bool in_cache) {
|
|
if (in_cache) {
|
|
flags |= IN_CACHE;
|
|
} else {
|
|
flags &= ~IN_CACHE;
|
|
}
|
|
}
|
|
|
|
void SetPriority(Cache::Priority priority) {
|
|
if (priority == Cache::Priority::HIGH) {
|
|
flags |= IS_HIGH_PRI;
|
|
flags &= ~IS_LOW_PRI;
|
|
} else if (priority == Cache::Priority::LOW) {
|
|
flags &= ~IS_HIGH_PRI;
|
|
flags |= IS_LOW_PRI;
|
|
} else {
|
|
flags &= ~IS_HIGH_PRI;
|
|
flags &= ~IS_LOW_PRI;
|
|
}
|
|
}
|
|
|
|
void SetInHighPriPool(bool in_high_pri_pool) {
|
|
if (in_high_pri_pool) {
|
|
flags |= IN_HIGH_PRI_POOL;
|
|
} else {
|
|
flags &= ~IN_HIGH_PRI_POOL;
|
|
}
|
|
}
|
|
|
|
void SetInLowPriPool(bool in_low_pri_pool) {
|
|
if (in_low_pri_pool) {
|
|
flags |= IN_LOW_PRI_POOL;
|
|
} else {
|
|
flags &= ~IN_LOW_PRI_POOL;
|
|
}
|
|
}
|
|
|
|
void SetHit() { flags |= HAS_HIT; }
|
|
|
|
void SetSecondaryCacheCompatible(bool compat) {
|
|
if (compat) {
|
|
flags |= IS_SECONDARY_CACHE_COMPATIBLE;
|
|
} else {
|
|
flags &= ~IS_SECONDARY_CACHE_COMPATIBLE;
|
|
}
|
|
#ifdef __SANITIZE_THREAD__
|
|
is_secondary_cache_compatible_for_tsan = compat;
|
|
#endif // __SANITIZE_THREAD__
|
|
}
|
|
|
|
void SetIncomplete(bool incomp) {
|
|
if (incomp) {
|
|
flags |= IS_PENDING;
|
|
} else {
|
|
flags &= ~IS_PENDING;
|
|
}
|
|
}
|
|
|
|
void SetIsInSecondaryCache(bool is_in_secondary_cache) {
|
|
if (is_in_secondary_cache) {
|
|
flags |= IS_IN_SECONDARY_CACHE;
|
|
} else {
|
|
flags &= ~IS_IN_SECONDARY_CACHE;
|
|
}
|
|
}
|
|
|
|
void SetIsStandalone(bool is_standalone) {
|
|
if (is_standalone) {
|
|
flags |= IS_STANDALONE;
|
|
} else {
|
|
flags &= ~IS_STANDALONE;
|
|
}
|
|
}
|
|
|
|
void Free() {
|
|
assert(refs == 0);
|
|
#ifdef __SANITIZE_THREAD__
|
|
// Here we can safely assert they are the same without a data race reported
|
|
assert(((flags & IS_SECONDARY_CACHE_COMPATIBLE) != 0) ==
|
|
is_secondary_cache_compatible_for_tsan);
|
|
#endif // __SANITIZE_THREAD__
|
|
if (!IsSecondaryCacheCompatible() && info_.deleter) {
|
|
(*info_.deleter)(key(), value);
|
|
} else if (IsSecondaryCacheCompatible()) {
|
|
if (IsPending()) {
|
|
assert(sec_handle != nullptr);
|
|
SecondaryCacheResultHandle* tmp_sec_handle = sec_handle;
|
|
tmp_sec_handle->Wait();
|
|
value = tmp_sec_handle->Value();
|
|
delete tmp_sec_handle;
|
|
}
|
|
if (value) {
|
|
(*info_.helper->del_cb)(key(), value);
|
|
}
|
|
}
|
|
delete[] reinterpret_cast<char*>(this);
|
|
}
|
|
|
|
inline size_t CalcuMetaCharge(
|
|
CacheMetadataChargePolicy metadata_charge_policy) const {
|
|
if (metadata_charge_policy != kFullChargeCacheMetadata) {
|
|
return 0;
|
|
} else {
|
|
#ifdef ROCKSDB_MALLOC_USABLE_SIZE
|
|
return malloc_usable_size(
|
|
const_cast<void*>(static_cast<const void*>(this)));
|
|
#else
|
|
// This is the size that is used when a new handle is created.
|
|
return sizeof(LRUHandle) - 1 + key_length;
|
|
#endif
|
|
}
|
|
}
|
|
|
|
// Calculate the memory usage by metadata.
|
|
inline void CalcTotalCharge(
|
|
size_t charge, CacheMetadataChargePolicy metadata_charge_policy) {
|
|
total_charge = charge + CalcuMetaCharge(metadata_charge_policy);
|
|
}
|
|
|
|
inline size_t GetCharge(
|
|
CacheMetadataChargePolicy metadata_charge_policy) const {
|
|
size_t meta_charge = CalcuMetaCharge(metadata_charge_policy);
|
|
assert(total_charge >= meta_charge);
|
|
return total_charge - meta_charge;
|
|
}
|
|
};
|
|
|
|
// We provide our own simple hash table since it removes a whole bunch
|
|
// of porting hacks and is also faster than some of the built-in hash
|
|
// table implementations in some of the compiler/runtime combinations
|
|
// we have tested. E.g., readrandom speeds up by ~5% over the g++
|
|
// 4.4.3's builtin hashtable.
|
|
class LRUHandleTable {
|
|
public:
|
|
// If the table uses more hash bits than `max_upper_hash_bits`,
|
|
// it will eat into the bits used for sharding, which are constant
|
|
// for a given LRUHandleTable.
|
|
explicit LRUHandleTable(int max_upper_hash_bits);
|
|
~LRUHandleTable();
|
|
|
|
LRUHandle* Lookup(const Slice& key, uint32_t hash);
|
|
LRUHandle* Insert(LRUHandle* h);
|
|
LRUHandle* Remove(const Slice& key, uint32_t hash);
|
|
|
|
template <typename T>
|
|
void ApplyToEntriesRange(T func, uint32_t index_begin, uint32_t index_end) {
|
|
for (uint32_t i = index_begin; i < index_end; i++) {
|
|
LRUHandle* h = list_[i];
|
|
while (h != nullptr) {
|
|
auto n = h->next_hash;
|
|
assert(h->InCache());
|
|
func(h);
|
|
h = n;
|
|
}
|
|
}
|
|
}
|
|
|
|
int GetLengthBits() const { return length_bits_; }
|
|
|
|
size_t GetOccupancyCount() const { return elems_; }
|
|
|
|
private:
|
|
// Return a pointer to slot that points to a cache entry that
|
|
// matches key/hash. If there is no such cache entry, return a
|
|
// pointer to the trailing slot in the corresponding linked list.
|
|
LRUHandle** FindPointer(const Slice& key, uint32_t hash);
|
|
|
|
void Resize();
|
|
|
|
// Number of hash bits (upper because lower bits used for sharding)
|
|
// used for table index. Length == 1 << length_bits_
|
|
int length_bits_;
|
|
|
|
// The table consists of an array of buckets where each bucket is
|
|
// a linked list of cache entries that hash into the bucket.
|
|
std::unique_ptr<LRUHandle*[]> list_;
|
|
|
|
// Number of elements currently in the table.
|
|
uint32_t elems_;
|
|
|
|
// Set from max_upper_hash_bits (see constructor).
|
|
const int max_length_bits_;
|
|
};
|
|
|
|
// A single shard of sharded cache.
|
|
class ALIGN_AS(CACHE_LINE_SIZE) LRUCacheShard final : public CacheShard {
|
|
public:
|
|
LRUCacheShard(size_t capacity, bool strict_capacity_limit,
|
|
double high_pri_pool_ratio, double low_pri_pool_ratio,
|
|
bool use_adaptive_mutex,
|
|
CacheMetadataChargePolicy metadata_charge_policy,
|
|
int max_upper_hash_bits,
|
|
const std::shared_ptr<SecondaryCache>& secondary_cache);
|
|
virtual ~LRUCacheShard() override = default;
|
|
|
|
// Separate from constructor so caller can easily make an array of LRUCache
|
|
// if current usage is more than new capacity, the function will attempt to
|
|
// free the needed space.
|
|
virtual void SetCapacity(size_t capacity) override;
|
|
|
|
// Set the flag to reject insertion if cache if full.
|
|
virtual void SetStrictCapacityLimit(bool strict_capacity_limit) override;
|
|
|
|
// Set percentage of capacity reserved for high-pri cache entries.
|
|
void SetHighPriorityPoolRatio(double high_pri_pool_ratio);
|
|
|
|
// Set percentage of capacity reserved for low-pri cache entries.
|
|
void SetLowPriorityPoolRatio(double low_pri_pool_ratio);
|
|
|
|
// Like Cache methods, but with an extra "hash" parameter.
|
|
virtual Status Insert(const Slice& key, uint32_t hash, void* value,
|
|
size_t charge, Cache::DeleterFn deleter,
|
|
Cache::Handle** handle,
|
|
Cache::Priority priority) override {
|
|
return Insert(key, hash, value, charge, deleter, nullptr, handle, priority);
|
|
}
|
|
virtual Status Insert(const Slice& key, uint32_t hash, void* value,
|
|
const Cache::CacheItemHelper* helper, size_t charge,
|
|
Cache::Handle** handle,
|
|
Cache::Priority priority) override {
|
|
assert(helper);
|
|
return Insert(key, hash, value, charge, nullptr, helper, handle, priority);
|
|
}
|
|
// If helper_cb is null, the values of the following arguments don't matter.
|
|
virtual Cache::Handle* Lookup(const Slice& key, uint32_t hash,
|
|
const ShardedCache::CacheItemHelper* helper,
|
|
const ShardedCache::CreateCallback& create_cb,
|
|
ShardedCache::Priority priority, bool wait,
|
|
Statistics* stats) override;
|
|
virtual Cache::Handle* Lookup(const Slice& key, uint32_t hash) override {
|
|
return Lookup(key, hash, nullptr, nullptr, Cache::Priority::LOW, true,
|
|
nullptr);
|
|
}
|
|
virtual bool Release(Cache::Handle* handle, bool /*useful*/,
|
|
bool erase_if_last_ref) override {
|
|
return Release(handle, erase_if_last_ref);
|
|
}
|
|
virtual bool IsReady(Cache::Handle* /*handle*/) override;
|
|
virtual void Wait(Cache::Handle* /*handle*/) override {}
|
|
virtual bool Ref(Cache::Handle* handle) override;
|
|
virtual bool Release(Cache::Handle* handle,
|
|
bool erase_if_last_ref = false) override;
|
|
virtual void Erase(const Slice& key, uint32_t hash) override;
|
|
|
|
// Although in some platforms the update of size_t is atomic, to make sure
|
|
// GetUsage() and GetPinnedUsage() work correctly under any platform, we'll
|
|
// protect them with mutex_.
|
|
|
|
virtual size_t GetUsage() const override;
|
|
virtual size_t GetPinnedUsage() const override;
|
|
virtual size_t GetOccupancyCount() const override;
|
|
virtual size_t GetTableAddressCount() const override;
|
|
|
|
virtual void ApplyToSomeEntries(
|
|
const std::function<void(const Slice& key, void* value, size_t charge,
|
|
DeleterFn deleter)>& callback,
|
|
uint32_t average_entries_per_lock, uint32_t* state) override;
|
|
|
|
virtual void EraseUnRefEntries() override;
|
|
|
|
virtual std::string GetPrintableOptions() const override;
|
|
|
|
void TEST_GetLRUList(LRUHandle** lru, LRUHandle** lru_low_pri,
|
|
LRUHandle** lru_bottom_pri);
|
|
|
|
// Retrieves number of elements in LRU, for unit test purpose only.
|
|
// Not threadsafe.
|
|
size_t TEST_GetLRUSize();
|
|
|
|
// Retrieves high pri pool ratio
|
|
double GetHighPriPoolRatio();
|
|
|
|
// Retrieves low pri pool ratio
|
|
double GetLowPriPoolRatio();
|
|
|
|
private:
|
|
friend class LRUCache;
|
|
// Insert an item into the hash table and, if handle is null, insert into
|
|
// the LRU list. Older items are evicted as necessary. If the cache is full
|
|
// and free_handle_on_fail is true, the item is deleted and handle is set to
|
|
// nullptr.
|
|
Status InsertItem(LRUHandle* item, Cache::Handle** handle,
|
|
bool free_handle_on_fail);
|
|
Status Insert(const Slice& key, uint32_t hash, void* value, size_t charge,
|
|
DeleterFn deleter, const Cache::CacheItemHelper* helper,
|
|
Cache::Handle** handle, Cache::Priority priority);
|
|
// Promote an item looked up from the secondary cache to the LRU cache.
|
|
// The item may be still in the secondary cache.
|
|
// It is only inserted into the hash table and not the LRU list, and only
|
|
// if the cache is not at full capacity, as is the case during Insert. The
|
|
// caller should hold a reference on the LRUHandle. When the caller releases
|
|
// the last reference, the item is added to the LRU list.
|
|
// The item is promoted to the high pri or low pri pool as specified by the
|
|
// caller in Lookup.
|
|
void Promote(LRUHandle* e);
|
|
void LRU_Remove(LRUHandle* e);
|
|
void LRU_Insert(LRUHandle* e);
|
|
|
|
// Overflow the last entry in high-pri pool to low-pri pool until size of
|
|
// high-pri pool is no larger than the size specify by high_pri_pool_pct.
|
|
void MaintainPoolSize();
|
|
|
|
// Free some space following strict LRU policy until enough space
|
|
// to hold (usage_ + charge) is freed or the lru list is empty
|
|
// This function is not thread safe - it needs to be executed while
|
|
// holding the mutex_.
|
|
void EvictFromLRU(size_t charge, autovector<LRUHandle*>* deleted);
|
|
|
|
// Try to insert the evicted handles into the secondary cache.
|
|
void TryInsertIntoSecondaryCache(autovector<LRUHandle*> evicted_handles);
|
|
|
|
// Initialized before use.
|
|
size_t capacity_;
|
|
|
|
// Memory size for entries in high-pri pool.
|
|
size_t high_pri_pool_usage_;
|
|
|
|
// Memory size for entries in low-pri pool.
|
|
size_t low_pri_pool_usage_;
|
|
|
|
// Whether to reject insertion if cache reaches its full capacity.
|
|
bool strict_capacity_limit_;
|
|
|
|
// Ratio of capacity reserved for high priority cache entries.
|
|
double high_pri_pool_ratio_;
|
|
|
|
// High-pri pool size, equals to capacity * high_pri_pool_ratio.
|
|
// Remember the value to avoid recomputing each time.
|
|
double high_pri_pool_capacity_;
|
|
|
|
// Ratio of capacity reserved for low priority cache entries.
|
|
double low_pri_pool_ratio_;
|
|
|
|
// Low-pri pool size, equals to capacity * low_pri_pool_ratio.
|
|
// Remember the value to avoid recomputing each time.
|
|
double low_pri_pool_capacity_;
|
|
|
|
// Dummy head of LRU list.
|
|
// lru.prev is newest entry, lru.next is oldest entry.
|
|
// LRU contains items which can be evicted, ie reference only by cache
|
|
LRUHandle lru_;
|
|
|
|
// Pointer to head of low-pri pool in LRU list.
|
|
LRUHandle* lru_low_pri_;
|
|
|
|
// Pointer to head of bottom-pri pool in LRU list.
|
|
LRUHandle* lru_bottom_pri_;
|
|
|
|
// ------------^^^^^^^^^^^^^-----------
|
|
// 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_;
|
|
|
|
// 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_;
|
|
|
|
std::shared_ptr<SecondaryCache> secondary_cache_;
|
|
};
|
|
|
|
class LRUCache
|
|
#ifdef NDEBUG
|
|
final
|
|
#endif
|
|
: public ShardedCache {
|
|
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,
|
|
const std::shared_ptr<SecondaryCache>& secondary_cache = nullptr);
|
|
virtual ~LRUCache();
|
|
virtual const char* Name() const override { return "LRUCache"; }
|
|
virtual CacheShard* GetShard(uint32_t shard) override;
|
|
virtual const CacheShard* GetShard(uint32_t shard) const override;
|
|
virtual void* Value(Handle* handle) override;
|
|
virtual size_t GetCharge(Handle* handle) const override;
|
|
virtual uint32_t GetHash(Handle* handle) const override;
|
|
virtual DeleterFn GetDeleter(Handle* handle) const override;
|
|
virtual void DisownData() override;
|
|
virtual void WaitAll(std::vector<Handle*>& handles) override;
|
|
std::string GetPrintableOptions() const override;
|
|
|
|
// Retrieves number of elements in LRU, for unit test purpose only.
|
|
size_t TEST_GetLRUSize();
|
|
// Retrieves high pri pool ratio.
|
|
double GetHighPriPoolRatio();
|
|
|
|
private:
|
|
LRUCacheShard* shards_ = nullptr;
|
|
int num_shards_ = 0;
|
|
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
|