mirror of
https://github.com/facebook/rocksdb.git
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192 lines
6.5 KiB
C++
192 lines
6.5 KiB
C++
// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree. An additional grant
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// of patent rights can be found in the PATENTS file in the same directory.
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#pragma once
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#include <string>
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#include "rocksdb/slice.h"
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#include "port/port.h"
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#include <atomic>
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#include <memory>
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namespace rocksdb {
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class Slice;
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class Allocator;
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class Logger;
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class DynamicBloom {
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public:
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// allocator: pass allocator to bloom filter, hence trace the usage of memory
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// total_bits: fixed total bits for the bloom
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// num_probes: number of hash probes for a single key
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// locality: If positive, optimize for cache line locality, 0 otherwise.
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// hash_func: customized hash function
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// huge_page_tlb_size: if >0, try to allocate bloom bytes from huge page TLB
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// withi this page size. Need to reserve huge pages for
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// it to be allocated, like:
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// sysctl -w vm.nr_hugepages=20
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// See linux doc Documentation/vm/hugetlbpage.txt
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explicit DynamicBloom(Allocator* allocator,
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uint32_t total_bits, uint32_t locality = 0,
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uint32_t num_probes = 6,
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uint32_t (*hash_func)(const Slice& key) = nullptr,
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size_t huge_page_tlb_size = 0,
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Logger* logger = nullptr);
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explicit DynamicBloom(uint32_t num_probes = 6,
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uint32_t (*hash_func)(const Slice& key) = nullptr);
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void SetTotalBits(Allocator* allocator, uint32_t total_bits,
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uint32_t locality, size_t huge_page_tlb_size,
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Logger* logger);
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~DynamicBloom() {}
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// Assuming single threaded access to this function.
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void Add(const Slice& key);
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// Like Add, but may be called concurrent with other functions.
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void AddConcurrently(const Slice& key);
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// Assuming single threaded access to this function.
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void AddHash(uint32_t hash);
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// Like AddHash, but may be called concurrent with other functions.
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void AddHashConcurrently(uint32_t hash);
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// Multithreaded access to this function is OK
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bool MayContain(const Slice& key) const;
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// Multithreaded access to this function is OK
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bool MayContainHash(uint32_t hash) const;
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void Prefetch(uint32_t h);
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uint32_t GetNumBlocks() const { return kNumBlocks; }
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Slice GetRawData() const {
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return Slice(reinterpret_cast<char*>(data_), GetTotalBits() / 8);
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}
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void SetRawData(unsigned char* raw_data, uint32_t total_bits,
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uint32_t num_blocks = 0);
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uint32_t GetTotalBits() const { return kTotalBits; }
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bool IsInitialized() const { return kNumBlocks > 0 || kTotalBits > 0; }
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private:
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uint32_t kTotalBits;
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uint32_t kNumBlocks;
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const uint32_t kNumProbes;
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uint32_t (*hash_func_)(const Slice& key);
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std::atomic<uint8_t>* data_;
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// or_func(ptr, mask) should effect *ptr |= mask with the appropriate
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// concurrency safety, working with bytes.
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template <typename OrFunc>
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void AddHash(uint32_t hash, const OrFunc& or_func);
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};
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inline void DynamicBloom::Add(const Slice& key) { AddHash(hash_func_(key)); }
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inline void DynamicBloom::AddConcurrently(const Slice& key) {
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AddHashConcurrently(hash_func_(key));
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}
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inline void DynamicBloom::AddHash(uint32_t hash) {
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AddHash(hash, [](std::atomic<uint8_t>* ptr, uint8_t mask) {
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ptr->store(ptr->load(std::memory_order_relaxed) | mask,
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std::memory_order_relaxed);
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});
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}
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inline void DynamicBloom::AddHashConcurrently(uint32_t hash) {
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AddHash(hash, [](std::atomic<uint8_t>* ptr, uint8_t mask) {
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// Happens-before between AddHash and MaybeContains is handled by
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// access to versions_->LastSequence(), so all we have to do here is
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// avoid races (so we don't give the compiler a license to mess up
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// our code) and not lose bits. std::memory_order_relaxed is enough
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// for that.
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if ((mask & ptr->load(std::memory_order_relaxed)) != mask) {
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ptr->fetch_or(mask, std::memory_order_relaxed);
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}
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});
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}
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inline bool DynamicBloom::MayContain(const Slice& key) const {
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return (MayContainHash(hash_func_(key)));
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}
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inline void DynamicBloom::Prefetch(uint32_t h) {
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if (kNumBlocks != 0) {
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uint32_t b = ((h >> 11 | (h << 21)) % kNumBlocks) * (CACHE_LINE_SIZE * 8);
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PREFETCH(&(data_[b]), 0, 3);
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}
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}
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inline bool DynamicBloom::MayContainHash(uint32_t h) const {
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assert(IsInitialized());
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const uint32_t delta = (h >> 17) | (h << 15); // Rotate right 17 bits
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if (kNumBlocks != 0) {
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uint32_t b = ((h >> 11 | (h << 21)) % kNumBlocks) * (CACHE_LINE_SIZE * 8);
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for (uint32_t i = 0; i < kNumProbes; ++i) {
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// Since CACHE_LINE_SIZE is defined as 2^n, this line will be optimized
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// to a simple and operation by compiler.
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const uint32_t bitpos = b + (h % (CACHE_LINE_SIZE * 8));
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uint8_t byteval = data_[bitpos / 8].load(std::memory_order_relaxed);
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if ((byteval & (1 << (bitpos % 8))) == 0) {
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return false;
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}
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// Rotate h so that we don't reuse the same bytes.
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h = h / (CACHE_LINE_SIZE * 8) +
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(h % (CACHE_LINE_SIZE * 8)) * (0x20000000U / CACHE_LINE_SIZE);
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h += delta;
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}
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} else {
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for (uint32_t i = 0; i < kNumProbes; ++i) {
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const uint32_t bitpos = h % kTotalBits;
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uint8_t byteval = data_[bitpos / 8].load(std::memory_order_relaxed);
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if ((byteval & (1 << (bitpos % 8))) == 0) {
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return false;
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}
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h += delta;
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}
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}
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return true;
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}
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template <typename OrFunc>
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inline void DynamicBloom::AddHash(uint32_t h, const OrFunc& or_func) {
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assert(IsInitialized());
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const uint32_t delta = (h >> 17) | (h << 15); // Rotate right 17 bits
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if (kNumBlocks != 0) {
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uint32_t b = ((h >> 11 | (h << 21)) % kNumBlocks) * (CACHE_LINE_SIZE * 8);
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for (uint32_t i = 0; i < kNumProbes; ++i) {
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// Since CACHE_LINE_SIZE is defined as 2^n, this line will be optimized
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// to a simple and operation by compiler.
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const uint32_t bitpos = b + (h % (CACHE_LINE_SIZE * 8));
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or_func(&data_[bitpos / 8], (1 << (bitpos % 8)));
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// Rotate h so that we don't reuse the same bytes.
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h = h / (CACHE_LINE_SIZE * 8) +
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(h % (CACHE_LINE_SIZE * 8)) * (0x20000000U / CACHE_LINE_SIZE);
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h += delta;
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}
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} else {
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for (uint32_t i = 0; i < kNumProbes; ++i) {
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const uint32_t bitpos = h % kTotalBits;
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or_func(&data_[bitpos / 8], (1 << (bitpos % 8)));
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h += delta;
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}
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}
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}
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} // rocksdb
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