51af7c326c
Summary: MurmurHash becomes expensive when we do millions Get() a second in one thread. Add this option to allow the first hash function to use identity function as hash function. It results in QPS increase from 3.7M/s to ~4.3M/s. I did not observe improvement for end to end RocksDB performance. This may be caused by other bottlenecks that I will address in a separate diff. Test Plan: ``` [ljin@dev1964 rocksdb] ./cuckoo_table_reader_test --enable_perf --file_dir=/dev/shm --write --identity_as_first_hash=0 ==== Test CuckooReaderTest.WhenKeyExists ==== Test CuckooReaderTest.WhenKeyExistsWithUint64Comparator ==== Test CuckooReaderTest.CheckIterator ==== Test CuckooReaderTest.CheckIteratorUint64 ==== Test CuckooReaderTest.WhenKeyNotFound ==== Test CuckooReaderTest.TestReadPerformance With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.272us (3.7 Mqps) with batch size of 0, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.138us (7.2 Mqps) with batch size of 10, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.142us (7.1 Mqps) with batch size of 25, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.142us (7.0 Mqps) with batch size of 50, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.144us (6.9 Mqps) with batch size of 100, # of found keys 125829120 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.201us (5.0 Mqps) with batch size of 0, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.121us (8.3 Mqps) with batch size of 10, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.123us (8.1 Mqps) with batch size of 25, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.121us (8.3 Mqps) with batch size of 50, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.112us (8.9 Mqps) with batch size of 100, # of found keys 104857600 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.251us (4.0 Mqps) with batch size of 0, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.107us (9.4 Mqps) with batch size of 10, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.099us (10.1 Mqps) with batch size of 25, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.100us (10.0 Mqps) with batch size of 50, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.116us (8.6 Mqps) with batch size of 100, # of found keys 83886080 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.189us (5.3 Mqps) with batch size of 0, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.095us (10.5 Mqps) with batch size of 10, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.096us (10.4 Mqps) with batch size of 25, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.098us (10.2 Mqps) with batch size of 50, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.105us (9.5 Mqps) with batch size of 100, # of found keys 73400320 [ljin@dev1964 rocksdb] ./cuckoo_table_reader_test --enable_perf --file_dir=/dev/shm --write --identity_as_first_hash=1 ==== Test CuckooReaderTest.WhenKeyExists ==== Test CuckooReaderTest.WhenKeyExistsWithUint64Comparator ==== Test CuckooReaderTest.CheckIterator ==== Test CuckooReaderTest.CheckIteratorUint64 ==== Test CuckooReaderTest.WhenKeyNotFound ==== Test CuckooReaderTest.TestReadPerformance With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.230us (4.3 Mqps) with batch size of 0, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.086us (11.7 Mqps) with batch size of 10, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.088us (11.3 Mqps) with batch size of 25, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.083us (12.1 Mqps) with batch size of 50, # of found keys 125829120 With 125829120 items, utilization is 93.75%, number of hash functions: 2. Time taken per op is 0.083us (12.1 Mqps) with batch size of 100, # of found keys 125829120 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.159us (6.3 Mqps) with batch size of 0, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.078us (12.8 Mqps) with batch size of 10, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.080us (12.6 Mqps) with batch size of 25, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.080us (12.5 Mqps) with batch size of 50, # of found keys 104857600 With 104857600 items, utilization is 78.12%, number of hash functions: 2. Time taken per op is 0.082us (12.2 Mqps) with batch size of 100, # of found keys 104857600 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.154us (6.5 Mqps) with batch size of 0, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.077us (13.0 Mqps) with batch size of 10, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.077us (12.9 Mqps) with batch size of 25, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.078us (12.8 Mqps) with batch size of 50, # of found keys 83886080 With 83886080 items, utilization is 62.50%, number of hash functions: 2. Time taken per op is 0.079us (12.6 Mqps) with batch size of 100, # of found keys 83886080 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.218us (4.6 Mqps) with batch size of 0, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.083us (12.0 Mqps) with batch size of 10, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.085us (11.7 Mqps) with batch size of 25, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.086us (11.6 Mqps) with batch size of 50, # of found keys 73400320 With 73400320 items, utilization is 54.69%, number of hash functions: 2. Time taken per op is 0.078us (12.8 Mqps) with batch size of 100, # of found keys 73400320 ``` Reviewers: sdong, igor, yhchiang Reviewed By: igor Subscribers: leveldb Differential Revision: https://reviews.facebook.net/D23451
301 lines
10 KiB
C++
301 lines
10 KiB
C++
// Copyright (c) 2013, 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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#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 rocksdb tools\n");
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return 1;
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}
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#else
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#include <gflags/gflags.h>
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#include "rocksdb/db.h"
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#include "rocksdb/slice_transform.h"
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#include "rocksdb/table.h"
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#include "db/db_impl.h"
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#include "db/dbformat.h"
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#include "port/atomic_pointer.h"
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#include "table/block_based_table_factory.h"
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#include "table/plain_table_factory.h"
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#include "table/table_builder.h"
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#include "util/histogram.h"
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#include "util/testharness.h"
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#include "util/testutil.h"
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using GFLAGS::ParseCommandLineFlags;
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using GFLAGS::SetUsageMessage;
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namespace rocksdb {
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namespace {
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// Make a key that i determines the first 4 characters and j determines the
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// last 4 characters.
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static std::string MakeKey(int i, int j, bool through_db) {
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char buf[100];
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snprintf(buf, sizeof(buf), "%04d__key___%04d", i, j);
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if (through_db) {
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return std::string(buf);
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}
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// If we directly query table, which operates on internal keys
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// instead of user keys, we need to add 8 bytes of internal
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// information (row type etc) to user key to make an internal
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// key.
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InternalKey key(std::string(buf), 0, ValueType::kTypeValue);
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return key.Encode().ToString();
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}
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static bool DummySaveValue(void* arg, const ParsedInternalKey& ikey,
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const Slice& v) {
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return false;
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}
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uint64_t Now(Env* env, bool measured_by_nanosecond) {
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return measured_by_nanosecond ? env->NowNanos() : env->NowMicros();
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}
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} // namespace
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// A very simple benchmark that.
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// Create a table with roughly numKey1 * numKey2 keys,
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// where there are numKey1 prefixes of the key, each has numKey2 number of
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// distinguished key, differing in the suffix part.
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// If if_query_empty_keys = false, query the existing keys numKey1 * numKey2
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// times randomly.
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// If if_query_empty_keys = true, query numKey1 * numKey2 random empty keys.
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// Print out the total time.
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// If through_db=true, a full DB will be created and queries will be against
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// it. Otherwise, operations will be directly through table level.
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//
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// If for_terator=true, instead of just query one key each time, it queries
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// a range sharing the same prefix.
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namespace {
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void TableReaderBenchmark(Options& opts, EnvOptions& env_options,
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ReadOptions& read_options, int num_keys1,
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int num_keys2, int num_iter, int prefix_len,
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bool if_query_empty_keys, bool for_iterator,
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bool through_db, bool measured_by_nanosecond) {
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rocksdb::InternalKeyComparator ikc(opts.comparator);
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std::string file_name = test::TmpDir()
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+ "/rocksdb_table_reader_benchmark";
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std::string dbname = test::TmpDir() + "/rocksdb_table_reader_bench_db";
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WriteOptions wo;
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unique_ptr<WritableFile> file;
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Env* env = Env::Default();
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TableBuilder* tb = nullptr;
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DB* db = nullptr;
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Status s;
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const ImmutableCFOptions ioptions(opts);
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if (!through_db) {
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env->NewWritableFile(file_name, &file, env_options);
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tb = opts.table_factory->NewTableBuilder(ioptions, ikc, file.get(),
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CompressionType::kNoCompression,
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CompressionOptions());
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} else {
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s = DB::Open(opts, dbname, &db);
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ASSERT_OK(s);
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ASSERT_TRUE(db != nullptr);
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}
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// Populate slightly more than 1M keys
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for (int i = 0; i < num_keys1; i++) {
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for (int j = 0; j < num_keys2; j++) {
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std::string key = MakeKey(i * 2, j, through_db);
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if (!through_db) {
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tb->Add(key, key);
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} else {
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db->Put(wo, key, key);
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}
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}
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}
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if (!through_db) {
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tb->Finish();
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file->Close();
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} else {
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db->Flush(FlushOptions());
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}
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unique_ptr<TableReader> table_reader;
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unique_ptr<RandomAccessFile> raf;
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if (!through_db) {
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Status s = env->NewRandomAccessFile(file_name, &raf, env_options);
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uint64_t file_size;
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env->GetFileSize(file_name, &file_size);
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s = opts.table_factory->NewTableReader(
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ioptions, env_options, ikc, std::move(raf), file_size, &table_reader);
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}
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Random rnd(301);
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std::string result;
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HistogramImpl hist;
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void* arg = nullptr;
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for (int it = 0; it < num_iter; it++) {
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for (int i = 0; i < num_keys1; i++) {
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for (int j = 0; j < num_keys2; j++) {
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int r1 = rnd.Uniform(num_keys1) * 2;
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int r2 = rnd.Uniform(num_keys2);
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if (if_query_empty_keys) {
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r1++;
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r2 = num_keys2 * 2 - r2;
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}
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if (!for_iterator) {
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// Query one existing key;
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std::string key = MakeKey(r1, r2, through_db);
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uint64_t start_time = Now(env, measured_by_nanosecond);
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if (!through_db) {
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s = table_reader->Get(read_options, key, arg, DummySaveValue,
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nullptr);
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} else {
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s = db->Get(read_options, key, &result);
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}
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hist.Add(Now(env, measured_by_nanosecond) - start_time);
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} else {
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int r2_len;
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if (if_query_empty_keys) {
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r2_len = 0;
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} else {
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r2_len = rnd.Uniform(num_keys2) + 1;
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if (r2_len + r2 > num_keys2) {
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r2_len = num_keys2 - r2;
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}
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}
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std::string start_key = MakeKey(r1, r2, through_db);
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std::string end_key = MakeKey(r1, r2 + r2_len, through_db);
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uint64_t total_time = 0;
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uint64_t start_time = Now(env, measured_by_nanosecond);
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Iterator* iter;
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if (!through_db) {
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iter = table_reader->NewIterator(read_options);
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} else {
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iter = db->NewIterator(read_options);
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}
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int count = 0;
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for(iter->Seek(start_key); iter->Valid(); iter->Next()) {
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if (if_query_empty_keys) {
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break;
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}
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// verify key;
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total_time += Now(env, measured_by_nanosecond) - start_time;
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assert(Slice(MakeKey(r1, r2 + count, through_db)) == iter->key());
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start_time = Now(env, measured_by_nanosecond);
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if (++count >= r2_len) {
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break;
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}
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}
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if (count != r2_len) {
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fprintf(
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stderr, "Iterator cannot iterate expected number of entries. "
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"Expected %d but got %d\n", r2_len, count);
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assert(false);
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}
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delete iter;
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total_time += Now(env, measured_by_nanosecond) - start_time;
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hist.Add(total_time);
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}
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}
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}
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}
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fprintf(
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stderr,
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"==================================================="
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"====================================================\n"
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"InMemoryTableSimpleBenchmark: %20s num_key1: %5d "
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"num_key2: %5d %10s\n"
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"==================================================="
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"===================================================="
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"\nHistogram (unit: %s): \n%s",
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opts.table_factory->Name(), num_keys1, num_keys2,
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for_iterator ? "iterator" : (if_query_empty_keys ? "empty" : "non_empty"),
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measured_by_nanosecond ? "nanosecond" : "microsecond",
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hist.ToString().c_str());
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if (!through_db) {
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env->DeleteFile(file_name);
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} else {
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delete db;
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db = nullptr;
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DestroyDB(dbname, opts);
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}
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}
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} // namespace
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} // namespace rocksdb
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DEFINE_bool(query_empty, false, "query non-existing keys instead of existing "
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"ones.");
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DEFINE_int32(num_keys1, 4096, "number of distinguish prefix of keys");
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DEFINE_int32(num_keys2, 512, "number of distinguish keys for each prefix");
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DEFINE_int32(iter, 3, "query non-existing keys instead of existing ones");
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DEFINE_int32(prefix_len, 16, "Prefix length used for iterators and indexes");
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DEFINE_bool(iterator, false, "For test iterator");
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DEFINE_bool(through_db, false, "If enable, a DB instance will be created and "
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"the query will be against DB. Otherwise, will be directly against "
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"a table reader.");
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DEFINE_string(table_factory, "block_based",
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"Table factory to use: `block_based` (default), `plain_table` or "
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"`cuckoo_hash`.");
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DEFINE_string(time_unit, "microsecond",
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"The time unit used for measuring performance. User can specify "
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"`microsecond` (default) or `nanosecond`");
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int main(int argc, char** argv) {
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SetUsageMessage(std::string("\nUSAGE:\n") + std::string(argv[0]) +
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" [OPTIONS]...");
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ParseCommandLineFlags(&argc, &argv, true);
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std::shared_ptr<rocksdb::TableFactory> tf;
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rocksdb::Options options;
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if (FLAGS_prefix_len < 16) {
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options.prefix_extractor.reset(rocksdb::NewFixedPrefixTransform(
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FLAGS_prefix_len));
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}
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rocksdb::ReadOptions ro;
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rocksdb::EnvOptions env_options;
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options.create_if_missing = true;
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options.compression = rocksdb::CompressionType::kNoCompression;
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if (FLAGS_table_factory == "cuckoo_hash") {
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options.allow_mmap_reads = true;
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env_options.use_mmap_reads = true;
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rocksdb::CuckooTableOptions table_options;
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table_options.hash_table_ratio = 0.75;
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tf.reset(rocksdb::NewCuckooTableFactory(table_options));
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} else if (FLAGS_table_factory == "plain_table") {
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options.allow_mmap_reads = true;
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env_options.use_mmap_reads = true;
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rocksdb::PlainTableOptions plain_table_options;
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plain_table_options.user_key_len = 16;
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plain_table_options.bloom_bits_per_key = (FLAGS_prefix_len == 16) ? 0 : 8;
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plain_table_options.hash_table_ratio = 0.75;
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tf.reset(new rocksdb::PlainTableFactory(plain_table_options));
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options.prefix_extractor.reset(rocksdb::NewFixedPrefixTransform(
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FLAGS_prefix_len));
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} else if (FLAGS_table_factory == "block_based") {
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tf.reset(new rocksdb::BlockBasedTableFactory());
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} else {
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fprintf(stderr, "Invalid table type %s\n", FLAGS_table_factory.c_str());
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}
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if (tf) {
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// if user provides invalid options, just fall back to microsecond.
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bool measured_by_nanosecond = FLAGS_time_unit == "nanosecond";
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options.table_factory = tf;
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rocksdb::TableReaderBenchmark(options, env_options, ro, FLAGS_num_keys1,
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FLAGS_num_keys2, FLAGS_iter, FLAGS_prefix_len,
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FLAGS_query_empty, FLAGS_iterator,
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FLAGS_through_db, measured_by_nanosecond);
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} else {
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return 1;
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}
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return 0;
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}
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#endif // GFLAGS
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