rocksdb/table/table_reader_bench.cc
Kai Liu 59cffe02c4 Benchmark table reader wiht nanoseconds
Summary: nanosecnods gave us better view of the performance, especially when some operations are fast so that micro seconds may only reveal less informative results.

Test Plan:
sample output:

    ./table_reader_bench --plain_table --time_unit=nanosecond
    =======================================================================================================
    InMemoryTableSimpleBenchmark:           PlainTable   num_key1:   4096   num_key2:   512   non_empty
    =======================================================================================================
    Histogram (unit: nanosecond):
    Count: 6291456  Average: 475.3867  StdDev: 556.05
    Min: 135.0000  Median: 400.1817  Max: 33370.0000
    Percentiles: P50: 400.18 P75: 530.02 P99: 887.73 P99.9: 8843.26 P99.99: 9941.21
    ------------------------------------------------------
    [     120,     140 )        2   0.000%   0.000%
    [     140,     160 )      452   0.007%   0.007%
    [     160,     180 )    13683   0.217%   0.225%
    [     180,     200 )    54353   0.864%   1.089%
    [     200,     250 )   101004   1.605%   2.694%
    [     250,     300 )   729791  11.600%  14.294% ##
    [     300,     350 )   616070   9.792%  24.086% ##
    [     350,     400 )  1628021  25.877%  49.963% #####
    [     400,     450 )   647220  10.287%  60.250% ##
    [     450,     500 )   577206   9.174%  69.424% ##
    [     500,     600 )  1168585  18.574%  87.999% ####
    [     600,     700 )   506875   8.057%  96.055% ##
    [     700,     800 )   147878   2.350%  98.406%
    [     800,     900 )    42633   0.678%  99.083%
    [     900,    1000 )    16304   0.259%  99.342%
    [    1000,    1200 )     7811   0.124%  99.466%
    [    1200,    1400 )     1453   0.023%  99.490%
    [    1400,    1600 )      307   0.005%  99.494%
    [    1600,    1800 )       81   0.001%  99.496%
    [    1800,    2000 )       18   0.000%  99.496%
    [    2000,    2500 )        8   0.000%  99.496%
    [    2500,    3000 )        6   0.000%  99.496%
    [    3500,    4000 )        3   0.000%  99.496%
    [    4000,    4500 )      116   0.002%  99.498%
    [    4500,    5000 )     1144   0.018%  99.516%
    [    5000,    6000 )     1087   0.017%  99.534%
    [    6000,    7000 )     2403   0.038%  99.572%
    [    7000,    8000 )     9840   0.156%  99.728%
    [    8000,    9000 )    12820   0.204%  99.932%
    [    9000,   10000 )     3881   0.062%  99.994%
    [   10000,   12000 )      135   0.002%  99.996%
    [   12000,   14000 )      159   0.003%  99.998%
    [   14000,   16000 )       58   0.001%  99.999%
    [   16000,   18000 )       30   0.000% 100.000%
    [   18000,   20000 )       14   0.000% 100.000%
    [   20000,   25000 )        2   0.000% 100.000%
    [   25000,   30000 )        2   0.000% 100.000%
    [   30000,   35000 )        1   0.000% 100.000%

Reviewers: haobo, dhruba, sdong

CC: leveldb

Differential Revision: https://reviews.facebook.net/D16113
2014-02-13 13:57:36 -08:00

274 lines
9.8 KiB
C++

// Copyright (c) 2013, Facebook, Inc. All rights reserved.
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree. An additional grant
// of patent rights can be found in the PATENTS file in the same directory.
#include <gflags/gflags.h>
#include "rocksdb/db.h"
#include "rocksdb/slice_transform.h"
#include "rocksdb/table.h"
#include "db/db_impl.h"
#include "db/dbformat.h"
#include "port/atomic_pointer.h"
#include "table/block_based_table_factory.h"
#include "table/plain_table_factory.h"
#include "table/table_builder.h"
#include "util/histogram.h"
#include "util/testharness.h"
#include "util/testutil.h"
namespace rocksdb {
// Make a key that i determines the first 4 characters and j determines the
// last 4 characters.
static std::string MakeKey(int i, int j, bool through_db) {
char buf[100];
snprintf(buf, sizeof(buf), "%04d__key___%04d", i, j);
if (through_db) {
return std::string(buf);
}
// If we directly query table, which operates on internal keys
// instead of user keys, we need to add 8 bytes of internal
// information (row type etc) to user key to make an internal
// key.
InternalKey key(std::string(buf), 0, ValueType::kTypeValue);
return key.Encode().ToString();
}
static bool DummySaveValue(void* arg, const ParsedInternalKey& ikey,
const Slice& v, bool didIO) {
return false;
}
uint64_t Now(Env* env, bool measured_by_nanosecond) {
return measured_by_nanosecond ? env->NowNanos() : env->NowMicros();
}
// A very simple benchmark that.
// Create a table with roughly numKey1 * numKey2 keys,
// where there are numKey1 prefixes of the key, each has numKey2 number of
// distinguished key, differing in the suffix part.
// If if_query_empty_keys = false, query the existing keys numKey1 * numKey2
// times randomly.
// If if_query_empty_keys = true, query numKey1 * numKey2 random empty keys.
// Print out the total time.
// If through_db=true, a full DB will be created and queries will be against
// it. Otherwise, operations will be directly through table level.
//
// If for_terator=true, instead of just query one key each time, it queries
// a range sharing the same prefix.
void TableReaderBenchmark(Options& opts, EnvOptions& env_options,
ReadOptions& read_options, int num_keys1,
int num_keys2, int num_iter, int prefix_len,
bool if_query_empty_keys, bool for_iterator,
bool through_db, bool measured_by_nanosecond) {
rocksdb::InternalKeyComparator ikc(opts.comparator);
Slice prefix = Slice();
std::string file_name = test::TmpDir()
+ "/rocksdb_table_reader_benchmark";
std::string dbname = test::TmpDir() + "/rocksdb_table_reader_bench_db";
WriteOptions wo;
unique_ptr<WritableFile> file;
Env* env = Env::Default();
TableBuilder* tb = nullptr;
DB* db = nullptr;
Status s;
if (!through_db) {
env->NewWritableFile(file_name, &file, env_options);
tb = opts.table_factory->NewTableBuilder(opts, ikc, file.get(),
CompressionType::kNoCompression);
} else {
s = DB::Open(opts, dbname, &db);
ASSERT_OK(s);
ASSERT_TRUE(db != nullptr);
}
// Populate slightly more than 1M keys
for (int i = 0; i < num_keys1; i++) {
for (int j = 0; j < num_keys2; j++) {
std::string key = MakeKey(i * 2, j, through_db);
if (!through_db) {
tb->Add(key, key);
} else {
db->Put(wo, key, key);
}
}
}
if (!through_db) {
tb->Finish();
file->Close();
} else {
db->Flush(FlushOptions());
}
unique_ptr<TableReader> table_reader;
unique_ptr<RandomAccessFile> raf;
if (!through_db) {
Status s = env->NewRandomAccessFile(file_name, &raf, env_options);
uint64_t file_size;
env->GetFileSize(file_name, &file_size);
s = opts.table_factory->NewTableReader(
opts, env_options, ikc, std::move(raf), file_size, &table_reader);
}
Random rnd(301);
std::string result;
HistogramImpl hist;
void* arg = nullptr;
for (int it = 0; it < num_iter; it++) {
for (int i = 0; i < num_keys1; i++) {
for (int j = 0; j < num_keys2; j++) {
int r1 = rnd.Uniform(num_keys1) * 2;
int r2 = rnd.Uniform(num_keys2);
if (if_query_empty_keys) {
r1++;
r2 = num_keys2 * 2 - r2;
}
if (!for_iterator) {
// Query one existing key;
std::string key = MakeKey(r1, r2, through_db);
uint64_t start_micros = Now(env, measured_by_nanosecond);
port::MemoryBarrier();
if (!through_db) {
s = table_reader->Get(read_options, key, arg, DummySaveValue,
nullptr);
} else {
s = db->Get(read_options, key, &result);
}
port::MemoryBarrier();
hist.Add(Now(env, measured_by_nanosecond) - start_micros);
} else {
int r2_len;
if (if_query_empty_keys) {
r2_len = 0;
} else {
r2_len = rnd.Uniform(num_keys2) + 1;
if (r2_len + r2 > num_keys2) {
r2_len = num_keys2 - r2;
}
}
std::string start_key = MakeKey(r1, r2, through_db);
std::string end_key = MakeKey(r1, r2 + r2_len, through_db);
if (prefix_len < 16) {
prefix = Slice(start_key.data(), prefix_len);
read_options.prefix = &prefix;
}
uint64_t total_time = 0;
uint64_t start_micros = Now(env, measured_by_nanosecond);
port::MemoryBarrier();
Iterator* iter;
if (!through_db) {
iter = table_reader->NewIterator(read_options);
} else {
iter = db->NewIterator(read_options);
}
int count = 0;
for(iter->Seek(start_key); iter->Valid(); iter->Next()) {
if (if_query_empty_keys) {
break;
}
// verify key;
port::MemoryBarrier();
total_time += Now(env, measured_by_nanosecond) - start_micros;
assert(Slice(MakeKey(r1, r2 + count, through_db)) == iter->key());
start_micros = Now(env, measured_by_nanosecond);
if (++count >= r2_len) {
break;
}
}
if (count != r2_len) {
fprintf(
stderr, "Iterator cannot iterate expected number of entries. "
"Expected %d but got %d\n", r2_len, count);
assert(false);
}
delete iter;
port::MemoryBarrier();
total_time += Now(env, measured_by_nanosecond) - start_micros;
hist.Add(total_time);
}
}
}
}
fprintf(
stderr,
"==================================================="
"====================================================\n"
"InMemoryTableSimpleBenchmark: %20s num_key1: %5d "
"num_key2: %5d %10s\n"
"==================================================="
"===================================================="
"\nHistogram (unit: %s): \n%s",
opts.table_factory->Name(), num_keys1, num_keys2,
for_iterator ? "iterator" : (if_query_empty_keys ? "empty" : "non_empty"),
measured_by_nanosecond ? "nanosecond" : "microsecond",
hist.ToString().c_str());
if (!through_db) {
env->DeleteFile(file_name);
} else {
delete db;
db = nullptr;
DestroyDB(dbname, opts);
}
}
} // namespace rocksdb
DEFINE_bool(query_empty, false, "query non-existing keys instead of existing "
"ones.");
DEFINE_int32(num_keys1, 4096, "number of distinguish prefix of keys");
DEFINE_int32(num_keys2, 512, "number of distinguish keys for each prefix");
DEFINE_int32(iter, 3, "query non-existing keys instead of existing ones");
DEFINE_int32(prefix_len, 16, "Prefix length used for iterators and indexes");
DEFINE_bool(iterator, false, "For test iterator");
DEFINE_bool(through_db, false, "If enable, a DB instance will be created and "
"the query will be against DB. Otherwise, will be directly against "
"a table reader.");
DEFINE_bool(plain_table, false, "Use PlainTable");
DEFINE_string(time_unit, "microsecond",
"The time unit used for measuring performance. User can specify "
"`microsecond` (default) or `nanosecond`");
int main(int argc, char** argv) {
google::SetUsageMessage(std::string("\nUSAGE:\n") + std::string(argv[0]) +
" [OPTIONS]...");
google::ParseCommandLineFlags(&argc, &argv, true);
rocksdb::TableFactory* tf = new rocksdb::BlockBasedTableFactory();
rocksdb::Options options;
if (FLAGS_prefix_len < 16) {
options.prefix_extractor = rocksdb::NewFixedPrefixTransform(
FLAGS_prefix_len);
}
rocksdb::ReadOptions ro;
rocksdb::EnvOptions env_options;
options.create_if_missing = true;
options.compression = rocksdb::CompressionType::kNoCompression;
if (FLAGS_plain_table) {
ro.prefix_seek = true;
options.allow_mmap_reads = true;
env_options.use_mmap_reads = true;
tf = new rocksdb::PlainTableFactory(16, (FLAGS_prefix_len == 16) ? 0 : 8,
0.75);
options.prefix_extractor = rocksdb::NewFixedPrefixTransform(
FLAGS_prefix_len);
} else {
tf = new rocksdb::BlockBasedTableFactory();
}
// if user provides invalid options, just fall back to microsecond.
bool measured_by_nanosecond = FLAGS_time_unit == "nanosecond";
options.table_factory =
std::shared_ptr<rocksdb::TableFactory>(tf);
TableReaderBenchmark(options, env_options, ro, FLAGS_num_keys1,
FLAGS_num_keys2, FLAGS_iter, FLAGS_prefix_len,
FLAGS_query_empty, FLAGS_iterator, FLAGS_through_db,
measured_by_nanosecond);
delete tf;
return 0;
}