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[RocksDB perf] Cache speedup
Summary:
I have ran a get benchmark where all the data is in the cache and observed that most of the time is spent on waiting for lock in LRUCache.
This is an effort to optimize LRUCache.
Test Plan:
The data was loaded with fillseq. Then, I ran a benchmark:
/db_bench --db=/tmp/rocksdb_stat_bench --num=1000000 --benchmarks=readrandom --statistics=1 --use_existing_db=1 --threads=16 --disable_seek_compaction=1 --cache_size=20000000000 --cache_numshardbits=8 --table_cache_numshardbits=8
I ran the benchmark three times. Here are the results:
AFTER THE PATCH: 798072, 803998, 811807
BEFORE THE PATCH: 782008, 815593, 763017
Reviewers: dhruba, haobo, kailiu
Reviewed By: haobo
CC: leveldb
Differential Revision: https://reviews.facebook.net/D14571
This commit is contained in:
@@ -10,7 +10,7 @@
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#include <assert.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <list>
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#include <vector>
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#include "rocksdb/cache.h"
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#include "port/port.h"
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@@ -111,8 +111,8 @@ class HandleTable {
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}
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void Resize() {
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uint32_t new_length = 4;
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while (new_length < elems_) {
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uint32_t new_length = 16;
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while (new_length < elems_ * 1.5) {
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new_length *= 2;
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}
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LRUHandle** new_list = new LRUHandle*[new_length];
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@@ -255,18 +255,20 @@ Cache::Handle* LRUCache::Insert(
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LRUHandle* e = reinterpret_cast<LRUHandle*>(
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malloc(sizeof(LRUHandle)-1 + key.size()));
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std::list<LRUHandle*> last_reference_list;
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std::vector<LRUHandle*> last_reference_list;
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last_reference_list.reserve(1);
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e->value = value;
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e->deleter = deleter;
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e->charge = charge;
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e->key_length = key.size();
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e->hash = hash;
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e->refs = 2; // One from LRUCache, one for the returned handle
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memcpy(e->key_data, key.data(), key.size());
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{
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MutexLock l(&mutex_);
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e->value = value;
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e->deleter = deleter;
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e->charge = charge;
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e->key_length = key.size();
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e->hash = hash;
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e->refs = 2; // One from LRUCache, one for the returned handle
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memcpy(e->key_data, key.data(), key.size());
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LRU_Append(e);
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LRUHandle* old = table_.Insert(e);
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