Optimize MayContainHash()
Summary: In latest leaf's, MayContainHash() consistently consumes 5%~7% CPU usage. I checked the code and did an experiment with/without inlining this method. In release mode, with `1024 * 1024 * 256` bits and `1024 * 512` entries, both call 2^30 MayContainHash() with distinctive parameters. As the result showed, this patch reduced the running time from 9.127 sec to 7.891 sec. Test Plan: make check Reviewers: sdong, haobo CC: leveldb Differential Revision: https://reviews.facebook.net/D15177
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@ -20,50 +20,17 @@ DynamicBloom::DynamicBloom(uint32_t total_bits,
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uint32_t (*hash_func)(const Slice& key),
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uint32_t num_probes)
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: hash_func_(hash_func),
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total_bits_((total_bits + 7) / 8 * 8),
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num_probes_(num_probes) {
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kTotalBits((total_bits + 7) / 8 * 8),
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kNumProbes(num_probes) {
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assert(hash_func_);
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assert(num_probes_ > 0);
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assert(total_bits_ > 0);
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data_.reset(new unsigned char[total_bits_ / 8]());
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assert(kNumProbes > 0);
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assert(kTotalBits > 0);
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data_.reset(new unsigned char[kTotalBits / 8]());
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}
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DynamicBloom::DynamicBloom(uint32_t total_bits,
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uint32_t num_probes)
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: hash_func_(&BloomHash),
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total_bits_((total_bits + 7) / 8 * 8),
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num_probes_(num_probes) {
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assert(num_probes_ > 0);
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assert(total_bits_ > 0);
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data_.reset(new unsigned char[total_bits_ / 8]());
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: DynamicBloom(total_bits, &BloomHash, num_probes) {
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}
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void DynamicBloom::Add(const Slice& key) {
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AddHash(hash_func_(key));
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}
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void DynamicBloom::AddHash(uint32_t h) {
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const uint32_t delta = (h >> 17) | (h << 15); // Rotate right 17 bits
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for (uint32_t i = 0; i < num_probes_; i++) {
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const uint32_t bitpos = h % total_bits_;
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data_[bitpos/8] |= (1 << (bitpos % 8));
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h += delta;
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}
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}
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bool DynamicBloom::MayContain(const Slice& key) {
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return (MayContainHash(hash_func_(key)));
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}
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bool DynamicBloom::MayContainHash(uint32_t h) {
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const uint32_t delta = (h >> 17) | (h << 15); // Rotate right 17 bits
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for (uint32_t i = 0; i < num_probes_; i++) {
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const uint32_t bitpos = h % total_bits_;
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if ((data_[bitpos/8] & (1 << (bitpos % 8)))
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== 0) return false;
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h += delta;
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}
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return true;
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}
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}
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} // rocksdb
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@ -13,9 +13,7 @@ namespace rocksdb {
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class Slice;
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class DynamicBloom {
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public:
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// total_bits: fixed total bits for the bloom
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// hash_func: customized hash function
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// num_probes: number of hash probes for a single key
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@ -26,7 +24,7 @@ class DynamicBloom {
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explicit DynamicBloom(uint32_t total_bits, uint32_t num_probes = 6);
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// Assuming single threaded access to Add
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void Add(const Slice& key);
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void Add(const Slice& key) { AddHash(hash_func_(key)); }
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// Assuming single threaded access to Add
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void AddHash(uint32_t hash);
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@ -39,9 +37,34 @@ class DynamicBloom {
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private:
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uint32_t (*hash_func_)(const Slice& key);
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uint32_t total_bits_;
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uint32_t num_probes_;
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const uint32_t kTotalBits;
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const uint32_t kNumProbes;
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std::unique_ptr<unsigned char[]> data_;
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};
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inline bool DynamicBloom::MayContain(const Slice& key) {
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return (MayContainHash(hash_func_(key)));
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}
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inline bool DynamicBloom::MayContainHash(uint32_t h) {
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const uint32_t delta = (h >> 17) | (h << 15); // Rotate right 17 bits
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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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if (((data_[bitpos / 8]) & (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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return true;
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}
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inline void DynamicBloom::AddHash(uint32_t h) {
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const uint32_t delta = (h >> 17) | (h << 15); // Rotate right 17 bits
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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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data_[bitpos / 8] |= (1 << (bitpos % 8));
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h += delta;
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}
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}
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} // rocksdb
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