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0050a73a4f
Summary: This change standardizes on a new 16-byte cache key format for block cache (incl compressed and secondary) and persistent cache (but not table cache and row cache). The goal is a really fast cache key with practically ideal stability and uniqueness properties without external dependencies (e.g. from FileSystem). A fixed key size of 16 bytes should enable future optimizations to the concurrent hash table for block cache, which is a heavy CPU user / bottleneck, but there appears to be measurable performance improvement even with no changes to LRUCache. This change replaces a lot of disjointed and ugly code handling cache keys with calls to a simple, clean new internal API (cache_key.h). (Preserving the old cache key logic under an option would be very ugly and likely negate the performance gain of the new approach. Complete replacement carries some inherent risk, but I think that's acceptable with sufficient analysis and testing.) The scheme for encoding new cache keys is complicated but explained in cache_key.cc. Also: EndianSwapValue is moved to math.h to be next to other bit operations. (Explains some new include "math.h".) ReverseBits operation added and unit tests added to hash_test for both. Fixes https://github.com/facebook/rocksdb/issues/7405 (presuming a root cause) Pull Request resolved: https://github.com/facebook/rocksdb/pull/9126 Test Plan: ### Basic correctness Several tests needed updates to work with the new functionality, mostly because we are no longer relying on filesystem for stable cache keys so table builders & readers need more context info to agree on cache keys. This functionality is so core, a huge number of existing tests exercise the cache key functionality. ### Performance Create db with `TEST_TMPDIR=/dev/shm ./db_bench -bloom_bits=10 -benchmarks=fillrandom -num=3000000 -partition_index_and_filters` And test performance with `TEST_TMPDIR=/dev/shm ./db_bench -readonly -use_existing_db -bloom_bits=10 -benchmarks=readrandom -num=3000000 -duration=30 -cache_index_and_filter_blocks -cache_size=250000 -threads=4` using DEBUG_LEVEL=0 and simultaneous before & after runs. Before ops/sec, avg over 100 runs: 121924 After ops/sec, avg over 100 runs: 125385 (+2.8%) ### Collision probability I have built a tool, ./cache_bench -stress_cache_key to broadly simulate host-wide cache activity over many months, by making some pessimistic simplifying assumptions: * Every generated file has a cache entry for every byte offset in the file (contiguous range of cache keys) * All of every file is cached for its entire lifetime We use a simple table with skewed address assignment and replacement on address collision to simulate files coming & going, with quite a variance (super-Poisson) in ages. Some output with `./cache_bench -stress_cache_key -sck_keep_bits=40`: ``` Total cache or DBs size: 32TiB Writing 925.926 MiB/s or 76.2939TiB/day Multiply by 9.22337e+18 to correct for simulation losses (but still assume whole file cached) ``` These come from default settings of 2.5M files per day of 32 MB each, and `-sck_keep_bits=40` means that to represent a single file, we are only keeping 40 bits of the 128-bit cache key. With file size of 2\*\*25 contiguous keys (pessimistic), our simulation is about 2\*\*(128-40-25) or about 9 billion billion times more prone to collision than reality. More default assumptions, relatively pessimistic: * 100 DBs in same process (doesn't matter much) * Re-open DB in same process (new session ID related to old session ID) on average every 100 files generated * Restart process (all new session IDs unrelated to old) 24 times per day After enough data, we get a result at the end: ``` (keep 40 bits) 17 collisions after 2 x 90 days, est 10.5882 days between (9.76592e+19 corrected) ``` If we believe the (pessimistic) simulation and the mathematical generalization, we would need to run a billion machines all for 97 billion days to expect a cache key collision. To help verify that our generalization ("corrected") is robust, we can make our simulation more precise with `-sck_keep_bits=41` and `42`, which takes more running time to get enough data: ``` (keep 41 bits) 16 collisions after 4 x 90 days, est 22.5 days between (1.03763e+20 corrected) (keep 42 bits) 19 collisions after 10 x 90 days, est 47.3684 days between (1.09224e+20 corrected) ``` The generalized prediction still holds. With the `-sck_randomize` option, we can see that we are beating "random" cache keys (except offsets still non-randomized) by a modest amount (roughly 20x less collision prone than random), which should make us reasonably comfortable even in "degenerate" cases: ``` 197 collisions after 1 x 90 days, est 0.456853 days between (4.21372e+18 corrected) ``` I've run other tests to validate other conditions behave as expected, never behaving "worse than random" unless we start chopping off structured data. Reviewed By: zhichao-cao Differential Revision: D33171746 Pulled By: pdillinger fbshipit-source-id: f16a57e369ed37be5e7e33525ace848d0537c88f
795 lines
26 KiB
C++
795 lines
26 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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#ifdef GFLAGS
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#include <cinttypes>
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#include <cstddef>
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#include <cstdio>
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#include <limits>
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#include <memory>
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#include <set>
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#include <sstream>
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#include "db/db_impl/db_impl.h"
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#include "monitoring/histogram.h"
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#include "port/port.h"
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#include "rocksdb/cache.h"
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#include "rocksdb/convenience.h"
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#include "rocksdb/db.h"
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#include "rocksdb/env.h"
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#include "rocksdb/secondary_cache.h"
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#include "rocksdb/system_clock.h"
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#include "rocksdb/table_properties.h"
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#include "table/block_based/block_based_table_reader.h"
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#include "table/block_based/cachable_entry.h"
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#include "util/coding.h"
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#include "util/gflags_compat.h"
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#include "util/hash.h"
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#include "util/mutexlock.h"
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#include "util/random.h"
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#include "util/stop_watch.h"
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#include "util/string_util.h"
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using GFLAGS_NAMESPACE::ParseCommandLineFlags;
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static constexpr uint32_t KiB = uint32_t{1} << 10;
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static constexpr uint32_t MiB = KiB << 10;
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static constexpr uint64_t GiB = MiB << 10;
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DEFINE_uint32(threads, 16, "Number of concurrent threads to run.");
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DEFINE_uint64(cache_size, 1 * GiB,
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"Number of bytes to use as a cache of uncompressed data.");
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DEFINE_uint32(num_shard_bits, 6, "shard_bits.");
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DEFINE_double(resident_ratio, 0.25,
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"Ratio of keys fitting in cache to keyspace.");
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DEFINE_uint64(ops_per_thread, 2000000U, "Number of operations per thread.");
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DEFINE_uint32(value_bytes, 8 * KiB, "Size of each value added.");
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DEFINE_uint32(skew, 5, "Degree of skew in key selection");
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DEFINE_bool(populate_cache, true, "Populate cache before operations");
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DEFINE_uint32(lookup_insert_percent, 87,
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"Ratio of lookup (+ insert on not found) to total workload "
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"(expressed as a percentage)");
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DEFINE_uint32(insert_percent, 2,
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"Ratio of insert to total workload (expressed as a percentage)");
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DEFINE_uint32(lookup_percent, 10,
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"Ratio of lookup to total workload (expressed as a percentage)");
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DEFINE_uint32(erase_percent, 1,
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"Ratio of erase to total workload (expressed as a percentage)");
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DEFINE_bool(gather_stats, false,
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"Whether to periodically simulate gathering block cache stats, "
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"using one more thread.");
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DEFINE_uint32(
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gather_stats_sleep_ms, 1000,
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"How many milliseconds to sleep between each gathering of stats.");
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DEFINE_uint32(gather_stats_entries_per_lock, 256,
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"For Cache::ApplyToAllEntries");
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DEFINE_bool(skewed, false, "If true, skew the key access distribution");
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#ifndef ROCKSDB_LITE
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DEFINE_string(secondary_cache_uri, "",
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"Full URI for creating a custom secondary cache object");
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static class std::shared_ptr<ROCKSDB_NAMESPACE::SecondaryCache> secondary_cache;
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#endif // ROCKSDB_LITE
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DEFINE_bool(use_clock_cache, false, "");
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// ## BEGIN stress_cache_key sub-tool options ##
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DEFINE_bool(stress_cache_key, false,
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"If true, run cache key stress test instead");
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DEFINE_uint32(sck_files_per_day, 2500000,
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"(-stress_cache_key) Simulated files generated per day");
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DEFINE_uint32(sck_duration, 90,
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"(-stress_cache_key) Number of days to simulate in each run");
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DEFINE_uint32(
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sck_min_collision, 15,
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"(-stress_cache_key) Keep running until this many collisions seen");
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DEFINE_uint32(
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sck_file_size_mb, 32,
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"(-stress_cache_key) Simulated file size in MiB, for accounting purposes");
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DEFINE_uint32(sck_reopen_nfiles, 100,
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"(-stress_cache_key) Re-opens DB average every n files");
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DEFINE_uint32(
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sck_restarts_per_day, 24,
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"(-stress_cache_key) Simulated process restarts per day (across DBs)");
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DEFINE_uint32(sck_db_count, 100,
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"(-stress_cache_key) Parallel DBs in operation");
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DEFINE_uint32(sck_table_bits, 20,
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"(-stress_cache_key) Log2 number of tracked files");
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DEFINE_uint32(sck_keep_bits, 50,
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"(-stress_cache_key) Number of cache key bits to keep");
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DEFINE_bool(sck_randomize, false,
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"(-stress_cache_key) Randomize (hash) cache key");
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DEFINE_bool(sck_footer_unique_id, false,
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"(-stress_cache_key) Simulate using proposed footer unique id");
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// ## END stress_cache_key sub-tool options ##
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namespace ROCKSDB_NAMESPACE {
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class CacheBench;
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namespace {
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// State shared by all concurrent executions of the same benchmark.
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class SharedState {
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public:
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explicit SharedState(CacheBench* cache_bench)
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: cv_(&mu_),
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num_initialized_(0),
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start_(false),
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num_done_(0),
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cache_bench_(cache_bench) {}
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~SharedState() {}
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port::Mutex* GetMutex() { return &mu_; }
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port::CondVar* GetCondVar() { return &cv_; }
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CacheBench* GetCacheBench() const { return cache_bench_; }
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void IncInitialized() { num_initialized_++; }
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void IncDone() { num_done_++; }
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bool AllInitialized() const { return num_initialized_ >= FLAGS_threads; }
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bool AllDone() const { return num_done_ >= FLAGS_threads; }
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void SetStart() { start_ = true; }
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bool Started() const { return start_; }
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private:
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port::Mutex mu_;
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port::CondVar cv_;
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uint64_t num_initialized_;
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bool start_;
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uint64_t num_done_;
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CacheBench* cache_bench_;
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};
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// Per-thread state for concurrent executions of the same benchmark.
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struct ThreadState {
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uint32_t tid;
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Random64 rnd;
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SharedState* shared;
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HistogramImpl latency_ns_hist;
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uint64_t duration_us = 0;
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ThreadState(uint32_t index, SharedState* _shared)
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: tid(index), rnd(1000 + index), shared(_shared) {}
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};
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struct KeyGen {
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char key_data[27];
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Slice GetRand(Random64& rnd, uint64_t max_key, int max_log) {
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uint64_t key = 0;
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if (!FLAGS_skewed) {
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uint64_t raw = rnd.Next();
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// Skew according to setting
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for (uint32_t i = 0; i < FLAGS_skew; ++i) {
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raw = std::min(raw, rnd.Next());
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}
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key = FastRange64(raw, max_key);
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} else {
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key = rnd.Skewed(max_log);
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if (key > max_key) {
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key -= max_key;
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}
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}
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// Variable size and alignment
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size_t off = key % 8;
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key_data[0] = char{42};
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EncodeFixed64(key_data + 1, key);
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key_data[9] = char{11};
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EncodeFixed64(key_data + 10, key);
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key_data[18] = char{4};
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EncodeFixed64(key_data + 19, key);
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return Slice(&key_data[off], sizeof(key_data) - off);
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}
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};
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char* createValue(Random64& rnd) {
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char* rv = new char[FLAGS_value_bytes];
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// Fill with some filler data, and take some CPU time
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for (uint32_t i = 0; i < FLAGS_value_bytes; i += 8) {
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EncodeFixed64(rv + i, rnd.Next());
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}
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return rv;
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}
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// Callbacks for secondary cache
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size_t SizeFn(void* /*obj*/) { return FLAGS_value_bytes; }
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Status SaveToFn(void* obj, size_t /*offset*/, size_t size, void* out) {
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memcpy(out, obj, size);
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return Status::OK();
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}
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// Different deleters to simulate using deleter to gather
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// stats on the code origin and kind of cache entries.
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void deleter1(const Slice& /*key*/, void* value) {
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delete[] static_cast<char*>(value);
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}
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void deleter2(const Slice& /*key*/, void* value) {
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delete[] static_cast<char*>(value);
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}
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void deleter3(const Slice& /*key*/, void* value) {
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delete[] static_cast<char*>(value);
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}
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Cache::CacheItemHelper helper1(SizeFn, SaveToFn, deleter1);
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Cache::CacheItemHelper helper2(SizeFn, SaveToFn, deleter2);
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Cache::CacheItemHelper helper3(SizeFn, SaveToFn, deleter3);
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} // namespace
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class CacheBench {
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static constexpr uint64_t kHundredthUint64 =
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std::numeric_limits<uint64_t>::max() / 100U;
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public:
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CacheBench()
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: max_key_(static_cast<uint64_t>(FLAGS_cache_size / FLAGS_resident_ratio /
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FLAGS_value_bytes)),
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lookup_insert_threshold_(kHundredthUint64 *
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FLAGS_lookup_insert_percent),
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insert_threshold_(lookup_insert_threshold_ +
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kHundredthUint64 * FLAGS_insert_percent),
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lookup_threshold_(insert_threshold_ +
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kHundredthUint64 * FLAGS_lookup_percent),
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erase_threshold_(lookup_threshold_ +
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kHundredthUint64 * FLAGS_erase_percent),
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skewed_(FLAGS_skewed) {
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if (erase_threshold_ != 100U * kHundredthUint64) {
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fprintf(stderr, "Percentages must add to 100.\n");
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exit(1);
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}
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max_log_ = 0;
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if (skewed_) {
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uint64_t max_key = max_key_;
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while (max_key >>= 1) max_log_++;
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if (max_key > (static_cast<uint64_t>(1) << max_log_)) max_log_++;
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}
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if (FLAGS_use_clock_cache) {
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cache_ = NewClockCache(FLAGS_cache_size, FLAGS_num_shard_bits);
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if (!cache_) {
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fprintf(stderr, "Clock cache not supported.\n");
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exit(1);
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}
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} else {
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LRUCacheOptions opts(FLAGS_cache_size, FLAGS_num_shard_bits, false, 0.5);
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#ifndef ROCKSDB_LITE
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if (!FLAGS_secondary_cache_uri.empty()) {
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Status s = SecondaryCache::CreateFromString(
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ConfigOptions(), FLAGS_secondary_cache_uri, &secondary_cache);
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if (secondary_cache == nullptr) {
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fprintf(
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stderr,
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"No secondary cache registered matching string: %s status=%s\n",
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FLAGS_secondary_cache_uri.c_str(), s.ToString().c_str());
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exit(1);
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}
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opts.secondary_cache = secondary_cache;
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}
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#endif // ROCKSDB_LITE
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cache_ = NewLRUCache(opts);
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}
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}
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~CacheBench() {}
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void PopulateCache() {
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Random64 rnd(1);
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KeyGen keygen;
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for (uint64_t i = 0; i < 2 * FLAGS_cache_size; i += FLAGS_value_bytes) {
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cache_->Insert(keygen.GetRand(rnd, max_key_, max_log_), createValue(rnd),
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&helper1, FLAGS_value_bytes);
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}
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}
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bool Run() {
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const auto clock = SystemClock::Default().get();
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PrintEnv();
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SharedState shared(this);
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std::vector<std::unique_ptr<ThreadState> > threads(FLAGS_threads);
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for (uint32_t i = 0; i < FLAGS_threads; i++) {
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threads[i].reset(new ThreadState(i, &shared));
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std::thread(ThreadBody, threads[i].get()).detach();
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}
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HistogramImpl stats_hist;
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std::string stats_report;
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std::thread stats_thread(StatsBody, &shared, &stats_hist, &stats_report);
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uint64_t start_time;
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{
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MutexLock l(shared.GetMutex());
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while (!shared.AllInitialized()) {
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shared.GetCondVar()->Wait();
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}
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// Record start time
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start_time = clock->NowMicros();
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// Start all threads
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shared.SetStart();
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shared.GetCondVar()->SignalAll();
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// Wait threads to complete
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while (!shared.AllDone()) {
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shared.GetCondVar()->Wait();
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}
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}
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// Stats gathering is considered background work. This time measurement
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// is for foreground work, and not really ideal for that. See below.
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uint64_t end_time = clock->NowMicros();
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stats_thread.join();
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// Wall clock time - includes idle time if threads
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// finish at different times (not ideal).
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double elapsed_secs = static_cast<double>(end_time - start_time) * 1e-6;
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uint32_t ops_per_sec = static_cast<uint32_t>(
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1.0 * FLAGS_threads * FLAGS_ops_per_thread / elapsed_secs);
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printf("Complete in %.3f s; Rough parallel ops/sec = %u\n", elapsed_secs,
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ops_per_sec);
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// Total time in each thread (more accurate throughput measure)
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elapsed_secs = 0;
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for (uint32_t i = 0; i < FLAGS_threads; i++) {
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elapsed_secs += threads[i]->duration_us * 1e-6;
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}
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ops_per_sec = static_cast<uint32_t>(1.0 * FLAGS_threads *
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FLAGS_ops_per_thread / elapsed_secs);
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printf("Thread ops/sec = %u\n", ops_per_sec);
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printf("\nOperation latency (ns):\n");
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HistogramImpl combined;
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for (uint32_t i = 0; i < FLAGS_threads; i++) {
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combined.Merge(threads[i]->latency_ns_hist);
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}
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printf("%s", combined.ToString().c_str());
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if (FLAGS_gather_stats) {
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printf("\nGather stats latency (us):\n");
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printf("%s", stats_hist.ToString().c_str());
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}
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printf("\n%s", stats_report.c_str());
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return true;
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}
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private:
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std::shared_ptr<Cache> cache_;
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const uint64_t max_key_;
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// Cumulative thresholds in the space of a random uint64_t
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const uint64_t lookup_insert_threshold_;
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const uint64_t insert_threshold_;
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const uint64_t lookup_threshold_;
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const uint64_t erase_threshold_;
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const bool skewed_;
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int max_log_;
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// A benchmark version of gathering stats on an active block cache by
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// iterating over it. The primary purpose is to measure the impact of
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// gathering stats with ApplyToAllEntries on throughput- and
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// latency-sensitive Cache users. Performance of stats gathering is
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// also reported. The last set of gathered stats is also reported, for
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// manual sanity checking for logical errors or other unexpected
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// behavior of cache_bench or the underlying Cache.
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static void StatsBody(SharedState* shared, HistogramImpl* stats_hist,
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std::string* stats_report) {
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if (!FLAGS_gather_stats) {
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return;
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}
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const auto clock = SystemClock::Default().get();
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uint64_t total_key_size = 0;
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uint64_t total_charge = 0;
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uint64_t total_entry_count = 0;
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std::set<Cache::DeleterFn> deleters;
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StopWatchNano timer(clock);
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for (;;) {
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uint64_t time;
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time = clock->NowMicros();
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uint64_t deadline = time + uint64_t{FLAGS_gather_stats_sleep_ms} * 1000;
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|
{
|
|
MutexLock l(shared->GetMutex());
|
|
for (;;) {
|
|
if (shared->AllDone()) {
|
|
std::ostringstream ostr;
|
|
ostr << "Most recent cache entry stats:\n"
|
|
<< "Number of entries: " << total_entry_count << "\n"
|
|
<< "Total charge: " << BytesToHumanString(total_charge) << "\n"
|
|
<< "Average key size: "
|
|
<< (1.0 * total_key_size / total_entry_count) << "\n"
|
|
<< "Average charge: "
|
|
<< BytesToHumanString(static_cast<uint64_t>(
|
|
1.0 * total_charge / total_entry_count))
|
|
<< "\n"
|
|
<< "Unique deleters: " << deleters.size() << "\n";
|
|
*stats_report = ostr.str();
|
|
return;
|
|
}
|
|
if (clock->NowMicros() >= deadline) {
|
|
break;
|
|
}
|
|
uint64_t diff = deadline - std::min(clock->NowMicros(), deadline);
|
|
shared->GetCondVar()->TimedWait(diff + 1);
|
|
}
|
|
}
|
|
|
|
// Now gather stats, outside of mutex
|
|
total_key_size = 0;
|
|
total_charge = 0;
|
|
total_entry_count = 0;
|
|
deleters.clear();
|
|
auto fn = [&](const Slice& key, void* /*value*/, size_t charge,
|
|
Cache::DeleterFn deleter) {
|
|
total_key_size += key.size();
|
|
total_charge += charge;
|
|
++total_entry_count;
|
|
// Something slightly more expensive as in (future) stats by category
|
|
deleters.insert(deleter);
|
|
};
|
|
timer.Start();
|
|
Cache::ApplyToAllEntriesOptions opts;
|
|
opts.average_entries_per_lock = FLAGS_gather_stats_entries_per_lock;
|
|
shared->GetCacheBench()->cache_->ApplyToAllEntries(fn, opts);
|
|
stats_hist->Add(timer.ElapsedNanos() / 1000);
|
|
}
|
|
}
|
|
|
|
static void ThreadBody(ThreadState* thread) {
|
|
SharedState* shared = thread->shared;
|
|
|
|
{
|
|
MutexLock l(shared->GetMutex());
|
|
shared->IncInitialized();
|
|
if (shared->AllInitialized()) {
|
|
shared->GetCondVar()->SignalAll();
|
|
}
|
|
while (!shared->Started()) {
|
|
shared->GetCondVar()->Wait();
|
|
}
|
|
}
|
|
thread->shared->GetCacheBench()->OperateCache(thread);
|
|
|
|
{
|
|
MutexLock l(shared->GetMutex());
|
|
shared->IncDone();
|
|
if (shared->AllDone()) {
|
|
shared->GetCondVar()->SignalAll();
|
|
}
|
|
}
|
|
}
|
|
|
|
void OperateCache(ThreadState* thread) {
|
|
// To use looked-up values
|
|
uint64_t result = 0;
|
|
// To hold handles for a non-trivial amount of time
|
|
Cache::Handle* handle = nullptr;
|
|
KeyGen gen;
|
|
const auto clock = SystemClock::Default().get();
|
|
uint64_t start_time = clock->NowMicros();
|
|
StopWatchNano timer(clock);
|
|
|
|
for (uint64_t i = 0; i < FLAGS_ops_per_thread; i++) {
|
|
timer.Start();
|
|
Slice key = gen.GetRand(thread->rnd, max_key_, max_log_);
|
|
uint64_t random_op = thread->rnd.Next();
|
|
Cache::CreateCallback create_cb =
|
|
[](void* buf, size_t size, void** out_obj, size_t* charge) -> Status {
|
|
*out_obj = reinterpret_cast<void*>(new char[size]);
|
|
memcpy(*out_obj, buf, size);
|
|
*charge = size;
|
|
return Status::OK();
|
|
};
|
|
|
|
if (random_op < lookup_insert_threshold_) {
|
|
if (handle) {
|
|
cache_->Release(handle);
|
|
handle = nullptr;
|
|
}
|
|
// do lookup
|
|
handle = cache_->Lookup(key, &helper2, create_cb, Cache::Priority::LOW,
|
|
true);
|
|
if (handle) {
|
|
// do something with the data
|
|
result += NPHash64(static_cast<char*>(cache_->Value(handle)),
|
|
FLAGS_value_bytes);
|
|
} else {
|
|
// do insert
|
|
cache_->Insert(key, createValue(thread->rnd), &helper2,
|
|
FLAGS_value_bytes, &handle);
|
|
}
|
|
} else if (random_op < insert_threshold_) {
|
|
if (handle) {
|
|
cache_->Release(handle);
|
|
handle = nullptr;
|
|
}
|
|
// do insert
|
|
cache_->Insert(key, createValue(thread->rnd), &helper3,
|
|
FLAGS_value_bytes, &handle);
|
|
} else if (random_op < lookup_threshold_) {
|
|
if (handle) {
|
|
cache_->Release(handle);
|
|
handle = nullptr;
|
|
}
|
|
// do lookup
|
|
handle = cache_->Lookup(key, &helper2, create_cb, Cache::Priority::LOW,
|
|
true);
|
|
if (handle) {
|
|
// do something with the data
|
|
result += NPHash64(static_cast<char*>(cache_->Value(handle)),
|
|
FLAGS_value_bytes);
|
|
}
|
|
} else if (random_op < erase_threshold_) {
|
|
// do erase
|
|
cache_->Erase(key);
|
|
} else {
|
|
// Should be extremely unlikely (noop)
|
|
assert(random_op >= kHundredthUint64 * 100U);
|
|
}
|
|
thread->latency_ns_hist.Add(timer.ElapsedNanos());
|
|
}
|
|
if (handle) {
|
|
cache_->Release(handle);
|
|
handle = nullptr;
|
|
}
|
|
// Ensure computations on `result` are not optimized away.
|
|
if (result == 1) {
|
|
printf("You are extremely unlucky(2). Try again.\n");
|
|
exit(1);
|
|
}
|
|
thread->duration_us = clock->NowMicros() - start_time;
|
|
}
|
|
|
|
void PrintEnv() const {
|
|
printf("RocksDB version : %d.%d\n", kMajorVersion, kMinorVersion);
|
|
printf("Number of threads : %u\n", FLAGS_threads);
|
|
printf("Ops per thread : %" PRIu64 "\n", FLAGS_ops_per_thread);
|
|
printf("Cache size : %s\n",
|
|
BytesToHumanString(FLAGS_cache_size).c_str());
|
|
printf("Num shard bits : %u\n", FLAGS_num_shard_bits);
|
|
printf("Max key : %" PRIu64 "\n", max_key_);
|
|
printf("Resident ratio : %g\n", FLAGS_resident_ratio);
|
|
printf("Skew degree : %u\n", FLAGS_skew);
|
|
printf("Populate cache : %d\n", int{FLAGS_populate_cache});
|
|
printf("Lookup+Insert pct : %u%%\n", FLAGS_lookup_insert_percent);
|
|
printf("Insert percentage : %u%%\n", FLAGS_insert_percent);
|
|
printf("Lookup percentage : %u%%\n", FLAGS_lookup_percent);
|
|
printf("Erase percentage : %u%%\n", FLAGS_erase_percent);
|
|
std::ostringstream stats;
|
|
if (FLAGS_gather_stats) {
|
|
stats << "enabled (" << FLAGS_gather_stats_sleep_ms << "ms, "
|
|
<< FLAGS_gather_stats_entries_per_lock << "/lock)";
|
|
} else {
|
|
stats << "disabled";
|
|
}
|
|
printf("Gather stats : %s\n", stats.str().c_str());
|
|
printf("----------------------------\n");
|
|
}
|
|
};
|
|
|
|
// TODO: better description (see PR #9126 for some info)
|
|
class StressCacheKey {
|
|
public:
|
|
void Run() {
|
|
if (FLAGS_sck_footer_unique_id) {
|
|
FLAGS_sck_db_count = 1;
|
|
}
|
|
|
|
uint64_t mb_per_day =
|
|
uint64_t{FLAGS_sck_files_per_day} * FLAGS_sck_file_size_mb;
|
|
printf("Total cache or DBs size: %gTiB Writing %g MiB/s or %gTiB/day\n",
|
|
FLAGS_sck_file_size_mb / 1024.0 / 1024.0 *
|
|
std::pow(2.0, FLAGS_sck_table_bits),
|
|
mb_per_day / 86400.0, mb_per_day / 1024.0 / 1024.0);
|
|
multiplier_ = std::pow(2.0, 128 - FLAGS_sck_keep_bits) /
|
|
(FLAGS_sck_file_size_mb * 1024.0 * 1024.0);
|
|
printf(
|
|
"Multiply by %g to correct for simulation losses (but still assume "
|
|
"whole file cached)\n",
|
|
multiplier_);
|
|
restart_nfiles_ = FLAGS_sck_files_per_day / FLAGS_sck_restarts_per_day;
|
|
double without_ejection =
|
|
std::pow(1.414214, FLAGS_sck_keep_bits) / FLAGS_sck_files_per_day;
|
|
printf(
|
|
"Without ejection, expect random collision after %g days (%g "
|
|
"corrected)\n",
|
|
without_ejection, without_ejection * multiplier_);
|
|
double with_full_table =
|
|
std::pow(2.0, FLAGS_sck_keep_bits - FLAGS_sck_table_bits) /
|
|
FLAGS_sck_files_per_day;
|
|
printf(
|
|
"With ejection and full table, expect random collision after %g "
|
|
"days (%g corrected)\n",
|
|
with_full_table, with_full_table * multiplier_);
|
|
collisions_ = 0;
|
|
|
|
for (int i = 1; collisions_ < FLAGS_sck_min_collision; i++) {
|
|
RunOnce();
|
|
if (collisions_ == 0) {
|
|
printf(
|
|
"No collisions after %d x %u days "
|
|
" \n",
|
|
i, FLAGS_sck_duration);
|
|
} else {
|
|
double est = 1.0 * i * FLAGS_sck_duration / collisions_;
|
|
printf("%" PRIu64
|
|
" collisions after %d x %u days, est %g days between (%g "
|
|
"corrected) \n",
|
|
collisions_, i, FLAGS_sck_duration, est, est * multiplier_);
|
|
}
|
|
}
|
|
}
|
|
|
|
void RunOnce() {
|
|
const size_t db_count = FLAGS_sck_db_count;
|
|
dbs_.reset(new TableProperties[db_count]{});
|
|
const size_t table_mask = (size_t{1} << FLAGS_sck_table_bits) - 1;
|
|
table_.reset(new uint64_t[table_mask + 1]{});
|
|
if (FLAGS_sck_keep_bits > 64) {
|
|
FLAGS_sck_keep_bits = 64;
|
|
}
|
|
uint32_t shift_away = 64 - FLAGS_sck_keep_bits;
|
|
uint32_t shift_away_b = shift_away / 3;
|
|
uint32_t shift_away_a = shift_away - shift_away_b;
|
|
|
|
process_count_ = 0;
|
|
session_count_ = 0;
|
|
ResetProcess();
|
|
|
|
Random64 r{std::random_device{}()};
|
|
|
|
uint64_t max_file_count =
|
|
uint64_t{FLAGS_sck_files_per_day} * FLAGS_sck_duration;
|
|
uint64_t file_count = 0;
|
|
uint32_t report_count = 0;
|
|
uint32_t collisions_this_run = 0;
|
|
// Round robin through DBs
|
|
for (size_t db_i = 0;; ++db_i) {
|
|
if (db_i >= db_count) {
|
|
db_i = 0;
|
|
}
|
|
if (file_count >= max_file_count) {
|
|
break;
|
|
}
|
|
if (!FLAGS_sck_footer_unique_id && r.OneIn(FLAGS_sck_reopen_nfiles)) {
|
|
ResetSession(db_i);
|
|
} else if (r.OneIn(restart_nfiles_)) {
|
|
ResetProcess();
|
|
}
|
|
OffsetableCacheKey ock;
|
|
dbs_[db_i].orig_file_number += 1;
|
|
// skip some file numbers, unless 1 DB so that that can simulate
|
|
// better (DB-independent) unique IDs
|
|
if (db_count > 1) {
|
|
dbs_[db_i].orig_file_number += (r.Next() & 3);
|
|
}
|
|
BlockBasedTable::SetupBaseCacheKey(&dbs_[db_i], "", 42, 42, &ock);
|
|
CacheKey ck = ock.WithOffset(0);
|
|
uint64_t stripped;
|
|
if (FLAGS_sck_randomize) {
|
|
stripped = GetSliceHash64(ck.AsSlice()) >> shift_away;
|
|
} else if (FLAGS_sck_footer_unique_id) {
|
|
uint32_t a = DecodeFixed32(ck.AsSlice().data() + 4) >> shift_away_a;
|
|
uint32_t b = DecodeFixed32(ck.AsSlice().data() + 12) >> shift_away_b;
|
|
stripped = (uint64_t{a} << 32) + b;
|
|
} else {
|
|
uint32_t a = DecodeFixed32(ck.AsSlice().data()) << shift_away_a;
|
|
uint32_t b = DecodeFixed32(ck.AsSlice().data() + 12) >> shift_away_b;
|
|
stripped = (uint64_t{a} << 32) + b;
|
|
}
|
|
if (stripped == 0) {
|
|
// Unlikely, but we need to exclude tracking this value
|
|
printf("Hit Zero! \n");
|
|
continue;
|
|
}
|
|
file_count++;
|
|
uint64_t h = NPHash64(reinterpret_cast<char*>(&stripped), 8);
|
|
// Skew lifetimes
|
|
size_t pos =
|
|
std::min(Lower32of64(h) & table_mask, Upper32of64(h) & table_mask);
|
|
if (table_[pos] == stripped) {
|
|
collisions_this_run++;
|
|
// To predict probability of no collisions, we have to get rid of
|
|
// correlated collisions, which this takes care of:
|
|
ResetProcess();
|
|
} else {
|
|
// Replace
|
|
table_[pos] = stripped;
|
|
}
|
|
|
|
if (++report_count == FLAGS_sck_files_per_day) {
|
|
report_count = 0;
|
|
// Estimate fill %
|
|
size_t incr = table_mask / 1000;
|
|
size_t sampled_count = 0;
|
|
for (size_t i = 0; i <= table_mask; i += incr) {
|
|
if (table_[i] != 0) {
|
|
sampled_count++;
|
|
}
|
|
}
|
|
// Report
|
|
printf(
|
|
"%" PRIu64 " days, %" PRIu64 " proc, %" PRIu64
|
|
" sess, %u coll, occ %g%%, ejected %g%% \r",
|
|
file_count / FLAGS_sck_files_per_day, process_count_,
|
|
session_count_, collisions_this_run, 100.0 * sampled_count / 1000.0,
|
|
100.0 * (1.0 - sampled_count / 1000.0 * table_mask / file_count));
|
|
fflush(stdout);
|
|
}
|
|
}
|
|
collisions_ += collisions_this_run;
|
|
}
|
|
|
|
void ResetSession(size_t i) {
|
|
dbs_[i].db_session_id = DBImpl::GenerateDbSessionId(nullptr);
|
|
session_count_++;
|
|
}
|
|
|
|
void ResetProcess() {
|
|
process_count_++;
|
|
DBImpl::TEST_ResetDbSessionIdGen();
|
|
for (size_t i = 0; i < FLAGS_sck_db_count; ++i) {
|
|
ResetSession(i);
|
|
}
|
|
if (FLAGS_sck_footer_unique_id) {
|
|
dbs_[0].orig_file_number = 0;
|
|
}
|
|
}
|
|
|
|
private:
|
|
// Use db_session_id and orig_file_number from TableProperties
|
|
std::unique_ptr<TableProperties[]> dbs_;
|
|
std::unique_ptr<uint64_t[]> table_;
|
|
uint64_t process_count_ = 0;
|
|
uint64_t session_count_ = 0;
|
|
uint64_t collisions_ = 0;
|
|
uint32_t restart_nfiles_ = 0;
|
|
double multiplier_ = 0.0;
|
|
};
|
|
|
|
int cache_bench_tool(int argc, char** argv) {
|
|
ParseCommandLineFlags(&argc, &argv, true);
|
|
|
|
if (FLAGS_stress_cache_key) {
|
|
// Alternate tool
|
|
StressCacheKey().Run();
|
|
return 0;
|
|
}
|
|
|
|
if (FLAGS_threads <= 0) {
|
|
fprintf(stderr, "threads number <= 0\n");
|
|
exit(1);
|
|
}
|
|
|
|
ROCKSDB_NAMESPACE::CacheBench bench;
|
|
if (FLAGS_populate_cache) {
|
|
bench.PopulateCache();
|
|
printf("Population complete\n");
|
|
printf("----------------------------\n");
|
|
}
|
|
if (bench.Run()) {
|
|
return 0;
|
|
} else {
|
|
return 1;
|
|
}
|
|
} // namespace ROCKSDB_NAMESPACE
|
|
} // namespace ROCKSDB_NAMESPACE
|
|
|
|
#endif // GFLAGS
|