mirror of https://github.com/facebook/rocksdb.git
322 lines
7.8 KiB
C++
322 lines
7.8 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) 2012 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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#ifndef GFLAGS
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#include <cstdio>
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int main() {
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fprintf(stderr, "Please install gflags to run this test... Skipping...\n");
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return 0;
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}
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#else
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#include <vector>
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#include "rocksdb/filter_policy.h"
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#include "table/full_filter_bits_builder.h"
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#include "util/arena.h"
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#include "util/gflags_compat.h"
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#include "util/logging.h"
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#include "util/testharness.h"
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#include "util/testutil.h"
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using GFLAGS_NAMESPACE::ParseCommandLineFlags;
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DEFINE_int32(bits_per_key, 10, "");
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namespace rocksdb {
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static const int kVerbose = 1;
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static Slice Key(int i, char* buffer) {
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std::string s;
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PutFixed32(&s, static_cast<uint32_t>(i));
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memcpy(buffer, s.c_str(), sizeof(i));
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return Slice(buffer, sizeof(i));
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}
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static int NextLength(int length) {
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if (length < 10) {
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length += 1;
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} else if (length < 100) {
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length += 10;
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} else if (length < 1000) {
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length += 100;
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} else {
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length += 1000;
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}
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return length;
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}
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class BloomTest : public testing::Test {
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private:
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const FilterPolicy* policy_;
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std::string filter_;
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std::vector<std::string> keys_;
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public:
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BloomTest() : policy_(
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NewBloomFilterPolicy(FLAGS_bits_per_key)) {}
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~BloomTest() {
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delete policy_;
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}
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void Reset() {
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keys_.clear();
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filter_.clear();
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}
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void Add(const Slice& s) {
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keys_.push_back(s.ToString());
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}
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void Build() {
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std::vector<Slice> key_slices;
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for (size_t i = 0; i < keys_.size(); i++) {
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key_slices.push_back(Slice(keys_[i]));
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}
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filter_.clear();
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policy_->CreateFilter(&key_slices[0], static_cast<int>(key_slices.size()),
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&filter_);
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keys_.clear();
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if (kVerbose >= 2) DumpFilter();
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}
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size_t FilterSize() const {
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return filter_.size();
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}
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void DumpFilter() {
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fprintf(stderr, "F(");
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for (size_t i = 0; i+1 < filter_.size(); i++) {
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const unsigned int c = static_cast<unsigned int>(filter_[i]);
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for (int j = 0; j < 8; j++) {
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fprintf(stderr, "%c", (c & (1 <<j)) ? '1' : '.');
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}
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}
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fprintf(stderr, ")\n");
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}
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bool Matches(const Slice& s) {
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if (!keys_.empty()) {
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Build();
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}
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return policy_->KeyMayMatch(s, filter_);
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}
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double FalsePositiveRate() {
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char buffer[sizeof(int)];
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int result = 0;
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for (int i = 0; i < 10000; i++) {
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if (Matches(Key(i + 1000000000, buffer))) {
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result++;
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}
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}
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return result / 10000.0;
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}
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};
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TEST_F(BloomTest, EmptyFilter) {
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ASSERT_TRUE(! Matches("hello"));
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ASSERT_TRUE(! Matches("world"));
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}
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TEST_F(BloomTest, Small) {
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Add("hello");
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Add("world");
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ASSERT_TRUE(Matches("hello"));
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ASSERT_TRUE(Matches("world"));
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ASSERT_TRUE(! Matches("x"));
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ASSERT_TRUE(! Matches("foo"));
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}
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TEST_F(BloomTest, VaryingLengths) {
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char buffer[sizeof(int)];
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// Count number of filters that significantly exceed the false positive rate
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int mediocre_filters = 0;
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int good_filters = 0;
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for (int length = 1; length <= 10000; length = NextLength(length)) {
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Reset();
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for (int i = 0; i < length; i++) {
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Add(Key(i, buffer));
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}
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Build();
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ASSERT_LE(FilterSize(), (size_t)((length * 10 / 8) + 40)) << length;
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// All added keys must match
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for (int i = 0; i < length; i++) {
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ASSERT_TRUE(Matches(Key(i, buffer)))
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<< "Length " << length << "; key " << i;
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}
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// Check false positive rate
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double rate = FalsePositiveRate();
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if (kVerbose >= 1) {
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fprintf(stderr, "False positives: %5.2f%% @ length = %6d ; bytes = %6d\n",
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rate*100.0, length, static_cast<int>(FilterSize()));
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}
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ASSERT_LE(rate, 0.02); // Must not be over 2%
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if (rate > 0.0125) mediocre_filters++; // Allowed, but not too often
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else good_filters++;
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}
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if (kVerbose >= 1) {
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fprintf(stderr, "Filters: %d good, %d mediocre\n",
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good_filters, mediocre_filters);
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}
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ASSERT_LE(mediocre_filters, good_filters/5);
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}
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// Different bits-per-byte
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class FullBloomTest : public testing::Test {
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private:
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const FilterPolicy* policy_;
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std::unique_ptr<FilterBitsBuilder> bits_builder_;
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std::unique_ptr<FilterBitsReader> bits_reader_;
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std::unique_ptr<const char[]> buf_;
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size_t filter_size_;
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public:
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FullBloomTest() :
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policy_(NewBloomFilterPolicy(FLAGS_bits_per_key, false)),
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filter_size_(0) {
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Reset();
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}
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~FullBloomTest() {
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delete policy_;
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}
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FullFilterBitsBuilder* GetFullFilterBitsBuilder() {
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return dynamic_cast<FullFilterBitsBuilder*>(bits_builder_.get());
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}
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void Reset() {
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bits_builder_.reset(policy_->GetFilterBitsBuilder());
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bits_reader_.reset(nullptr);
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buf_.reset(nullptr);
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filter_size_ = 0;
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}
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void Add(const Slice& s) {
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bits_builder_->AddKey(s);
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}
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void Build() {
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Slice filter = bits_builder_->Finish(&buf_);
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bits_reader_.reset(policy_->GetFilterBitsReader(filter));
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filter_size_ = filter.size();
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}
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size_t FilterSize() const {
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return filter_size_;
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}
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bool Matches(const Slice& s) {
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if (bits_reader_ == nullptr) {
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Build();
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}
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return bits_reader_->MayMatch(s);
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}
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double FalsePositiveRate() {
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char buffer[sizeof(int)];
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int result = 0;
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for (int i = 0; i < 10000; i++) {
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if (Matches(Key(i + 1000000000, buffer))) {
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result++;
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}
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}
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return result / 10000.0;
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}
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};
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TEST_F(FullBloomTest, FilterSize) {
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uint32_t dont_care1, dont_care2;
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auto full_bits_builder = GetFullFilterBitsBuilder();
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for (int n = 1; n < 100; n++) {
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auto space = full_bits_builder->CalculateSpace(n, &dont_care1, &dont_care2);
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auto n2 = full_bits_builder->CalculateNumEntry(space);
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ASSERT_GE(n2, n);
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auto space2 =
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full_bits_builder->CalculateSpace(n2, &dont_care1, &dont_care2);
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ASSERT_EQ(space, space2);
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}
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}
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TEST_F(FullBloomTest, FullEmptyFilter) {
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// Empty filter is not match, at this level
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ASSERT_TRUE(!Matches("hello"));
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ASSERT_TRUE(!Matches("world"));
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}
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TEST_F(FullBloomTest, FullSmall) {
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Add("hello");
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Add("world");
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ASSERT_TRUE(Matches("hello"));
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ASSERT_TRUE(Matches("world"));
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ASSERT_TRUE(!Matches("x"));
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ASSERT_TRUE(!Matches("foo"));
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}
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TEST_F(FullBloomTest, FullVaryingLengths) {
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char buffer[sizeof(int)];
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// Count number of filters that significantly exceed the false positive rate
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int mediocre_filters = 0;
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int good_filters = 0;
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for (int length = 1; length <= 10000; length = NextLength(length)) {
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Reset();
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for (int i = 0; i < length; i++) {
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Add(Key(i, buffer));
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}
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Build();
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ASSERT_LE(FilterSize(), (size_t)((length * 10 / 8) + 128 + 5)) << length;
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// All added keys must match
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for (int i = 0; i < length; i++) {
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ASSERT_TRUE(Matches(Key(i, buffer)))
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<< "Length " << length << "; key " << i;
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}
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// Check false positive rate
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double rate = FalsePositiveRate();
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if (kVerbose >= 1) {
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fprintf(stderr, "False positives: %5.2f%% @ length = %6d ; bytes = %6d\n",
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rate*100.0, length, static_cast<int>(FilterSize()));
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}
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ASSERT_LE(rate, 0.02); // Must not be over 2%
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if (rate > 0.0125)
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mediocre_filters++; // Allowed, but not too often
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else
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good_filters++;
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}
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if (kVerbose >= 1) {
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fprintf(stderr, "Filters: %d good, %d mediocre\n",
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good_filters, mediocre_filters);
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}
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ASSERT_LE(mediocre_filters, good_filters/5);
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}
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} // namespace rocksdb
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int main(int argc, char** argv) {
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::testing::InitGoogleTest(&argc, argv);
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ParseCommandLineFlags(&argc, &argv, true);
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return RUN_ALL_TESTS();
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}
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#endif // GFLAGS
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