No puede seleccionar más de 25 temas
Los temas deben comenzar con una letra o número, pueden incluir guiones ('-') y pueden tener hasta 35 caracteres de largo.
506 líneas
15 KiB
506 líneas
15 KiB
// Copyright (c) 2011 The LevelDB Authors. All rights reserved.
|
|
// Use of this source code is governed by a BSD-style license that can be
|
|
// found in the LICENSE file. See the AUTHORS file for names of contributors.
|
|
|
|
#include <stdio.h>
|
|
#include <stdlib.h>
|
|
#include <kcpolydb.h>
|
|
#include "util/histogram.h"
|
|
#include "util/random.h"
|
|
#include "util/testutil.h"
|
|
|
|
// Comma-separated list of operations to run in the specified order
|
|
// Actual benchmarks:
|
|
//
|
|
// fillseq -- write N values in sequential key order in async mode
|
|
// fillrandom -- write N values in random key order in async mode
|
|
// overwrite -- overwrite N values in random key order in async mode
|
|
// fillseqsync -- write N/100 values in sequential key order in sync mode
|
|
// fillrandsync -- write N/100 values in random key order in sync mode
|
|
// fillrand100K -- write N/1000 100K values in random order in async mode
|
|
// fillseq100K -- write N/1000 100K values in seq order in async mode
|
|
// readseq -- read N times sequentially
|
|
// readseq100K -- read N/1000 100K values in sequential order in async mode
|
|
// readrand100K -- read N/1000 100K values in sequential order in async mode
|
|
// readrandom -- read N times in random order
|
|
static const char* FLAGS_benchmarks =
|
|
"fillseq,"
|
|
"fillseqsync,"
|
|
"fillrandsync,"
|
|
"fillrandom,"
|
|
"overwrite,"
|
|
"readrandom,"
|
|
"readseq,"
|
|
"fillrand100K,"
|
|
"fillseq100K,"
|
|
"readseq100K,"
|
|
"readrand100K,"
|
|
;
|
|
|
|
// Number of key/values to place in database
|
|
static int FLAGS_num = 1000000;
|
|
|
|
// Number of read operations to do. If negative, do FLAGS_num reads.
|
|
static int FLAGS_reads = -1;
|
|
|
|
// Size of each value
|
|
static int FLAGS_value_size = 100;
|
|
|
|
// Arrange to generate values that shrink to this fraction of
|
|
// their original size after compression
|
|
static double FLAGS_compression_ratio = 0.5;
|
|
|
|
// Print histogram of operation timings
|
|
static bool FLAGS_histogram = false;
|
|
|
|
// Cache size. Default 4 MB
|
|
static int FLAGS_cache_size = 4194304;
|
|
|
|
// Page size. Default 1 KB
|
|
static int FLAGS_page_size = 1024;
|
|
|
|
// If true, do not destroy the existing database. If you set this
|
|
// flag and also specify a benchmark that wants a fresh database, that
|
|
// benchmark will fail.
|
|
static bool FLAGS_use_existing_db = false;
|
|
|
|
// Compression flag. If true, compression is on. If false, compression
|
|
// is off.
|
|
static bool FLAGS_compression = true;
|
|
|
|
inline
|
|
static void DBSynchronize(kyotocabinet::TreeDB* db_)
|
|
{
|
|
// Synchronize will flush writes to disk
|
|
if (!db_->synchronize()) {
|
|
fprintf(stderr, "synchronize error: %s\n", db_->error().name());
|
|
}
|
|
}
|
|
|
|
namespace leveldb {
|
|
|
|
// Helper for quickly generating random data.
|
|
namespace {
|
|
class RandomGenerator {
|
|
private:
|
|
std::string data_;
|
|
int pos_;
|
|
|
|
public:
|
|
RandomGenerator() {
|
|
// We use a limited amount of data over and over again and ensure
|
|
// that it is larger than the compression window (32KB), and also
|
|
// large enough to serve all typical value sizes we want to write.
|
|
Random rnd(301);
|
|
std::string piece;
|
|
while (data_.size() < 1048576) {
|
|
// Add a short fragment that is as compressible as specified
|
|
// by FLAGS_compression_ratio.
|
|
test::CompressibleString(&rnd, FLAGS_compression_ratio, 100, &piece);
|
|
data_.append(piece);
|
|
}
|
|
pos_ = 0;
|
|
}
|
|
|
|
Slice Generate(int len) {
|
|
if (pos_ + len > data_.size()) {
|
|
pos_ = 0;
|
|
assert(len < data_.size());
|
|
}
|
|
pos_ += len;
|
|
return Slice(data_.data() + pos_ - len, len);
|
|
}
|
|
};
|
|
|
|
static Slice TrimSpace(Slice s) {
|
|
int start = 0;
|
|
while (start < s.size() && isspace(s[start])) {
|
|
start++;
|
|
}
|
|
int limit = s.size();
|
|
while (limit > start && isspace(s[limit-1])) {
|
|
limit--;
|
|
}
|
|
return Slice(s.data() + start, limit - start);
|
|
}
|
|
|
|
} // namespace
|
|
|
|
class Benchmark {
|
|
private:
|
|
kyotocabinet::TreeDB* db_;
|
|
int db_num_;
|
|
int num_;
|
|
int reads_;
|
|
double start_;
|
|
double last_op_finish_;
|
|
int64_t bytes_;
|
|
std::string message_;
|
|
Histogram hist_;
|
|
RandomGenerator gen_;
|
|
Random rand_;
|
|
kyotocabinet::LZOCompressor<kyotocabinet::LZO::RAW> comp_;
|
|
|
|
// State kept for progress messages
|
|
int done_;
|
|
int next_report_; // When to report next
|
|
|
|
void PrintHeader() {
|
|
const int kKeySize = 16;
|
|
PrintEnvironment();
|
|
fprintf(stdout, "Keys: %d bytes each\n", kKeySize);
|
|
fprintf(stdout, "Values: %d bytes each (%d bytes after compression)\n",
|
|
FLAGS_value_size,
|
|
static_cast<int>(FLAGS_value_size * FLAGS_compression_ratio + 0.5));
|
|
fprintf(stdout, "Entries: %d\n", num_);
|
|
fprintf(stdout, "RawSize: %.1f MB (estimated)\n",
|
|
((static_cast<int64_t>(kKeySize + FLAGS_value_size) * num_)
|
|
/ 1048576.0));
|
|
fprintf(stdout, "FileSize: %.1f MB (estimated)\n",
|
|
(((kKeySize + FLAGS_value_size * FLAGS_compression_ratio) * num_)
|
|
/ 1048576.0));
|
|
PrintWarnings();
|
|
fprintf(stdout, "------------------------------------------------\n");
|
|
}
|
|
|
|
void PrintWarnings() {
|
|
#if defined(__GNUC__) && !defined(__OPTIMIZE__)
|
|
fprintf(stdout,
|
|
"WARNING: Optimization is disabled: benchmarks unnecessarily slow\n"
|
|
);
|
|
#endif
|
|
#ifndef NDEBUG
|
|
fprintf(stdout,
|
|
"WARNING: Assertions are enabled; benchmarks unnecessarily slow\n");
|
|
#endif
|
|
}
|
|
|
|
void PrintEnvironment() {
|
|
fprintf(stderr, "Kyoto Cabinet: version %s, lib ver %d, lib rev %d\n",
|
|
kyotocabinet::VERSION, kyotocabinet::LIBVER, kyotocabinet::LIBREV);
|
|
|
|
#if defined(__linux)
|
|
time_t now = time(NULL);
|
|
fprintf(stderr, "Date: %s", ctime(&now)); // ctime() adds newline
|
|
|
|
FILE* cpuinfo = fopen("/proc/cpuinfo", "r");
|
|
if (cpuinfo != NULL) {
|
|
char line[1000];
|
|
int num_cpus = 0;
|
|
std::string cpu_type;
|
|
std::string cache_size;
|
|
while (fgets(line, sizeof(line), cpuinfo) != NULL) {
|
|
const char* sep = strchr(line, ':');
|
|
if (sep == NULL) {
|
|
continue;
|
|
}
|
|
Slice key = TrimSpace(Slice(line, sep - 1 - line));
|
|
Slice val = TrimSpace(Slice(sep + 1));
|
|
if (key == "model name") {
|
|
++num_cpus;
|
|
cpu_type = val.ToString();
|
|
} else if (key == "cache size") {
|
|
cache_size = val.ToString();
|
|
}
|
|
}
|
|
fclose(cpuinfo);
|
|
fprintf(stderr, "CPU: %d * %s\n", num_cpus, cpu_type.c_str());
|
|
fprintf(stderr, "CPUCache: %s\n", cache_size.c_str());
|
|
}
|
|
#endif
|
|
}
|
|
|
|
void Start() {
|
|
start_ = Env::Default()->NowMicros() * 1e-6;
|
|
bytes_ = 0;
|
|
message_.clear();
|
|
last_op_finish_ = start_;
|
|
hist_.Clear();
|
|
done_ = 0;
|
|
next_report_ = 100;
|
|
}
|
|
|
|
void FinishedSingleOp() {
|
|
if (FLAGS_histogram) {
|
|
double now = Env::Default()->NowMicros() * 1e-6;
|
|
double micros = (now - last_op_finish_) * 1e6;
|
|
hist_.Add(micros);
|
|
if (micros > 20000) {
|
|
fprintf(stderr, "long op: %.1f micros%30s\r", micros, "");
|
|
fflush(stderr);
|
|
}
|
|
last_op_finish_ = now;
|
|
}
|
|
|
|
done_++;
|
|
if (done_ >= next_report_) {
|
|
if (next_report_ < 1000) next_report_ += 100;
|
|
else if (next_report_ < 5000) next_report_ += 500;
|
|
else if (next_report_ < 10000) next_report_ += 1000;
|
|
else if (next_report_ < 50000) next_report_ += 5000;
|
|
else if (next_report_ < 100000) next_report_ += 10000;
|
|
else if (next_report_ < 500000) next_report_ += 50000;
|
|
else next_report_ += 100000;
|
|
fprintf(stderr, "... finished %d ops%30s\r", done_, "");
|
|
fflush(stderr);
|
|
}
|
|
}
|
|
|
|
void Stop(const Slice& name) {
|
|
double finish = Env::Default()->NowMicros() * 1e-6;
|
|
|
|
// Pretend at least one op was done in case we are running a benchmark
|
|
// that does not call FinishedSingleOp().
|
|
if (done_ < 1) done_ = 1;
|
|
|
|
if (bytes_ > 0) {
|
|
char rate[100];
|
|
snprintf(rate, sizeof(rate), "%6.1f MB/s",
|
|
(bytes_ / 1048576.0) / (finish - start_));
|
|
if (!message_.empty()) {
|
|
message_ = std::string(rate) + " " + message_;
|
|
} else {
|
|
message_ = rate;
|
|
}
|
|
}
|
|
|
|
fprintf(stdout, "%-12s : %11.3f micros/op;%s%s\n",
|
|
name.ToString().c_str(),
|
|
(finish - start_) * 1e6 / done_,
|
|
(message_.empty() ? "" : " "),
|
|
message_.c_str());
|
|
if (FLAGS_histogram) {
|
|
fprintf(stdout, "Microseconds per op:\n%s\n", hist_.ToString().c_str());
|
|
}
|
|
fflush(stdout);
|
|
}
|
|
|
|
public:
|
|
enum Order {
|
|
SEQUENTIAL,
|
|
RANDOM
|
|
};
|
|
enum DBState {
|
|
FRESH,
|
|
EXISTING
|
|
};
|
|
|
|
Benchmark()
|
|
: db_(NULL),
|
|
num_(FLAGS_num),
|
|
reads_(FLAGS_reads < 0 ? FLAGS_num : FLAGS_reads),
|
|
bytes_(0),
|
|
rand_(301) {
|
|
std::vector<std::string> files;
|
|
Env::Default()->GetChildren("/tmp", &files);
|
|
if (!FLAGS_use_existing_db) {
|
|
for (int i = 0; i < files.size(); i++) {
|
|
if (Slice(files[i]).starts_with("dbbench_polyDB")) {
|
|
Env::Default()->DeleteFile("/tmp/" + files[i]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
~Benchmark() {
|
|
if (!db_->close()) {
|
|
fprintf(stderr, "close error: %s\n", db_->error().name());
|
|
}
|
|
}
|
|
|
|
void Run() {
|
|
PrintHeader();
|
|
Open(false);
|
|
|
|
const char* benchmarks = FLAGS_benchmarks;
|
|
while (benchmarks != NULL) {
|
|
const char* sep = strchr(benchmarks, ',');
|
|
Slice name;
|
|
if (sep == NULL) {
|
|
name = benchmarks;
|
|
benchmarks = NULL;
|
|
} else {
|
|
name = Slice(benchmarks, sep - benchmarks);
|
|
benchmarks = sep + 1;
|
|
}
|
|
|
|
Start();
|
|
|
|
bool known = true;
|
|
bool write_sync = false;
|
|
if (name == Slice("fillseq")) {
|
|
Write(write_sync, SEQUENTIAL, FRESH, num_, FLAGS_value_size, 1);
|
|
|
|
} else if (name == Slice("fillrandom")) {
|
|
Write(write_sync, RANDOM, FRESH, num_, FLAGS_value_size, 1);
|
|
DBSynchronize(db_);
|
|
} else if (name == Slice("overwrite")) {
|
|
Write(write_sync, RANDOM, EXISTING, num_, FLAGS_value_size, 1);
|
|
DBSynchronize(db_);
|
|
} else if (name == Slice("fillrandsync")) {
|
|
write_sync = true;
|
|
Write(write_sync, RANDOM, FRESH, num_ / 100, FLAGS_value_size, 1);
|
|
DBSynchronize(db_);
|
|
} else if (name == Slice("fillseqsync")) {
|
|
write_sync = true;
|
|
Write(write_sync, SEQUENTIAL, FRESH, num_ / 100, FLAGS_value_size, 1);
|
|
DBSynchronize(db_);
|
|
} else if (name == Slice("fillrand100K")) {
|
|
Write(write_sync, RANDOM, FRESH, num_ / 1000, 100 * 1000, 1);
|
|
DBSynchronize(db_);
|
|
} else if (name == Slice("fillseq100K")) {
|
|
Write(write_sync, SEQUENTIAL, FRESH, num_ / 1000, 100 * 1000, 1);
|
|
DBSynchronize(db_);
|
|
} else if (name == Slice("readseq")) {
|
|
ReadSequential();
|
|
} else if (name == Slice("readrandom")) {
|
|
ReadRandom();
|
|
} else if (name == Slice("readrand100K")) {
|
|
int n = reads_;
|
|
reads_ /= 1000;
|
|
ReadRandom();
|
|
reads_ = n;
|
|
} else if (name == Slice("readseq100K")) {
|
|
int n = reads_;
|
|
reads_ /= 1000;
|
|
ReadSequential();
|
|
reads_ = n;
|
|
} else {
|
|
known = false;
|
|
if (name != Slice()) { // No error message for empty name
|
|
fprintf(stderr, "unknown benchmark '%s'\n", name.ToString().c_str());
|
|
}
|
|
}
|
|
if (known) {
|
|
Stop(name);
|
|
}
|
|
}
|
|
}
|
|
|
|
private:
|
|
void Open(bool sync) {
|
|
assert(db_ == NULL);
|
|
|
|
// Initialize db_
|
|
db_ = new kyotocabinet::TreeDB();
|
|
char file_name[100];
|
|
db_num_++;
|
|
snprintf(file_name, sizeof(file_name), "/tmp/dbbench_polyDB-%d.kct",
|
|
db_num_);
|
|
|
|
// Create tuning options and open the database
|
|
int open_options = kyotocabinet::PolyDB::OWRITER |
|
|
kyotocabinet::PolyDB::OCREATE;
|
|
int tune_options = kyotocabinet::TreeDB::TSMALL |
|
|
kyotocabinet::TreeDB::TLINEAR;
|
|
if (FLAGS_compression) {
|
|
tune_options |= kyotocabinet::TreeDB::TCOMPRESS;
|
|
db_->tune_compressor(&comp_);
|
|
}
|
|
db_->tune_options(tune_options);
|
|
db_->tune_page_cache(FLAGS_cache_size);
|
|
db_->tune_page(FLAGS_page_size);
|
|
db_->tune_map(256LL<<20);
|
|
if (sync) {
|
|
open_options |= kyotocabinet::PolyDB::OAUTOSYNC;
|
|
}
|
|
if (!db_->open(file_name, open_options)) {
|
|
fprintf(stderr, "open error: %s\n", db_->error().name());
|
|
}
|
|
}
|
|
|
|
void Write(bool sync, Order order, DBState state,
|
|
int num_entries, int value_size, int entries_per_batch) {
|
|
// Create new database if state == FRESH
|
|
if (state == FRESH) {
|
|
if (FLAGS_use_existing_db) {
|
|
message_ = "skipping (--use_existing_db is true)";
|
|
return;
|
|
}
|
|
delete db_;
|
|
db_ = NULL;
|
|
Open(sync);
|
|
Start(); // Do not count time taken to destroy/open
|
|
}
|
|
|
|
if (num_entries != num_) {
|
|
char msg[100];
|
|
snprintf(msg, sizeof(msg), "(%d ops)", num_entries);
|
|
message_ = msg;
|
|
}
|
|
|
|
// Write to database
|
|
for (int i = 0; i < num_entries; i++)
|
|
{
|
|
const int k = (order == SEQUENTIAL) ? i : (rand_.Next() % num_entries);
|
|
char key[100];
|
|
snprintf(key, sizeof(key), "%016d", k);
|
|
bytes_ += value_size + strlen(key);
|
|
std::string cpp_key = key;
|
|
if (!db_->set(cpp_key, gen_.Generate(value_size).ToString())) {
|
|
fprintf(stderr, "set error: %s\n", db_->error().name());
|
|
}
|
|
FinishedSingleOp();
|
|
}
|
|
}
|
|
|
|
void ReadSequential() {
|
|
kyotocabinet::DB::Cursor* cur = db_->cursor();
|
|
cur->jump();
|
|
std::string ckey, cvalue;
|
|
while (cur->get(&ckey, &cvalue, true)) {
|
|
bytes_ += ckey.size() + cvalue.size();
|
|
FinishedSingleOp();
|
|
}
|
|
delete cur;
|
|
}
|
|
|
|
void ReadRandom() {
|
|
std::string value;
|
|
for (int i = 0; i < reads_; i++) {
|
|
char key[100];
|
|
const int k = rand_.Next() % reads_;
|
|
snprintf(key, sizeof(key), "%016d", k);
|
|
db_->get(key, &value);
|
|
FinishedSingleOp();
|
|
}
|
|
}
|
|
};
|
|
|
|
} // namespace leveldb
|
|
|
|
int main(int argc, char** argv) {
|
|
for (int i = 1; i < argc; i++) {
|
|
double d;
|
|
int n;
|
|
char junk;
|
|
if (leveldb::Slice(argv[i]).starts_with("--benchmarks=")) {
|
|
FLAGS_benchmarks = argv[i] + strlen("--benchmarks=");
|
|
} else if (sscanf(argv[i], "--compression_ratio=%lf%c", &d, &junk) == 1) {
|
|
FLAGS_compression_ratio = d;
|
|
} else if (sscanf(argv[i], "--histogram=%d%c", &n, &junk) == 1 &&
|
|
(n == 0 || n == 1)) {
|
|
FLAGS_histogram = n;
|
|
} else if (sscanf(argv[i], "--num=%d%c", &n, &junk) == 1) {
|
|
FLAGS_num = n;
|
|
} else if (sscanf(argv[i], "--reads=%d%c", &n, &junk) == 1) {
|
|
FLAGS_reads = n;
|
|
} else if (sscanf(argv[i], "--value_size=%d%c", &n, &junk) == 1) {
|
|
FLAGS_value_size = n;
|
|
} else if (sscanf(argv[i], "--cache_size=%d%c", &n, &junk) == 1) {
|
|
FLAGS_cache_size = n;
|
|
} else if (sscanf(argv[i], "--page_size=%d%c", &n, &junk) == 1) {
|
|
FLAGS_page_size = n;
|
|
} else if (sscanf(argv[i], "--compression=%d%c", &n, &junk) == 1 &&
|
|
(n == 0 || n == 1)) {
|
|
FLAGS_compression = (n == 1) ? true : false;
|
|
} else {
|
|
fprintf(stderr, "Invalid flag '%s'\n", argv[i]);
|
|
exit(1);
|
|
}
|
|
}
|
|
|
|
leveldb::Benchmark benchmark;
|
|
benchmark.Run();
|
|
return 0;
|
|
}
|