db_bench_tree_db.cc raw

   1  // Copyright (c) 2011 The LevelDB Authors. All rights reserved.
   2  // Use of this source code is governed by a BSD-style license that can be
   3  // found in the LICENSE file. See the AUTHORS file for names of contributors.
   4  
   5  #include <kcpolydb.h>
   6  #include <stdio.h>
   7  #include <stdlib.h>
   8  
   9  #include "util/histogram.h"
  10  #include "util/random.h"
  11  #include "util/testutil.h"
  12  
  13  // Comma-separated list of operations to run in the specified order
  14  //   Actual benchmarks:
  15  //
  16  //   fillseq       -- write N values in sequential key order in async mode
  17  //   fillrandom    -- write N values in random key order in async mode
  18  //   overwrite     -- overwrite N values in random key order in async mode
  19  //   fillseqsync   -- write N/100 values in sequential key order in sync mode
  20  //   fillrandsync  -- write N/100 values in random key order in sync mode
  21  //   fillrand100K  -- write N/1000 100K values in random order in async mode
  22  //   fillseq100K   -- write N/1000 100K values in seq order in async mode
  23  //   readseq       -- read N times sequentially
  24  //   readseq100K   -- read N/1000 100K values in sequential order in async mode
  25  //   readrand100K  -- read N/1000 100K values in sequential order in async mode
  26  //   readrandom    -- read N times in random order
  27  static const char* FLAGS_benchmarks =
  28      "fillseq,"
  29      "fillseqsync,"
  30      "fillrandsync,"
  31      "fillrandom,"
  32      "overwrite,"
  33      "readrandom,"
  34      "readseq,"
  35      "fillrand100K,"
  36      "fillseq100K,"
  37      "readseq100K,"
  38      "readrand100K,";
  39  
  40  // Number of key/values to place in database
  41  static int FLAGS_num = 1000000;
  42  
  43  // Number of read operations to do.  If negative, do FLAGS_num reads.
  44  static int FLAGS_reads = -1;
  45  
  46  // Size of each value
  47  static int FLAGS_value_size = 100;
  48  
  49  // Arrange to generate values that shrink to this fraction of
  50  // their original size after compression
  51  static double FLAGS_compression_ratio = 0.5;
  52  
  53  // Print histogram of operation timings
  54  static bool FLAGS_histogram = false;
  55  
  56  // Cache size. Default 4 MB
  57  static int FLAGS_cache_size = 4194304;
  58  
  59  // Page size. Default 1 KB
  60  static int FLAGS_page_size = 1024;
  61  
  62  // If true, do not destroy the existing database.  If you set this
  63  // flag and also specify a benchmark that wants a fresh database, that
  64  // benchmark will fail.
  65  static bool FLAGS_use_existing_db = false;
  66  
  67  // Compression flag. If true, compression is on. If false, compression
  68  // is off.
  69  static bool FLAGS_compression = true;
  70  
  71  // Use the db with the following name.
  72  static const char* FLAGS_db = nullptr;
  73  
  74  inline static void DBSynchronize(kyotocabinet::TreeDB* db_) {
  75    // Synchronize will flush writes to disk
  76    if (!db_->synchronize()) {
  77      fprintf(stderr, "synchronize error: %s\n", db_->error().name());
  78    }
  79  }
  80  
  81  namespace leveldb {
  82  
  83  // Helper for quickly generating random data.
  84  namespace {
  85  class RandomGenerator {
  86   private:
  87    std::string data_;
  88    int pos_;
  89  
  90   public:
  91    RandomGenerator() {
  92      // We use a limited amount of data over and over again and ensure
  93      // that it is larger than the compression window (32KB), and also
  94      // large enough to serve all typical value sizes we want to write.
  95      Random rnd(301);
  96      std::string piece;
  97      while (data_.size() < 1048576) {
  98        // Add a short fragment that is as compressible as specified
  99        // by FLAGS_compression_ratio.
 100        test::CompressibleString(&rnd, FLAGS_compression_ratio, 100, &piece);
 101        data_.append(piece);
 102      }
 103      pos_ = 0;
 104    }
 105  
 106    Slice Generate(int len) {
 107      if (pos_ + len > data_.size()) {
 108        pos_ = 0;
 109        assert(len < data_.size());
 110      }
 111      pos_ += len;
 112      return Slice(data_.data() + pos_ - len, len);
 113    }
 114  };
 115  
 116  static Slice TrimSpace(Slice s) {
 117    int start = 0;
 118    while (start < s.size() && isspace(s[start])) {
 119      start++;
 120    }
 121    int limit = s.size();
 122    while (limit > start && isspace(s[limit - 1])) {
 123      limit--;
 124    }
 125    return Slice(s.data() + start, limit - start);
 126  }
 127  
 128  }  // namespace
 129  
 130  class Benchmark {
 131   private:
 132    kyotocabinet::TreeDB* db_;
 133    int db_num_;
 134    int num_;
 135    int reads_;
 136    double start_;
 137    double last_op_finish_;
 138    int64_t bytes_;
 139    std::string message_;
 140    Histogram hist_;
 141    RandomGenerator gen_;
 142    Random rand_;
 143    kyotocabinet::LZOCompressor<kyotocabinet::LZO::RAW> comp_;
 144  
 145    // State kept for progress messages
 146    int done_;
 147    int next_report_;  // When to report next
 148  
 149    void PrintHeader() {
 150      const int kKeySize = 16;
 151      PrintEnvironment();
 152      fprintf(stdout, "Keys:       %d bytes each\n", kKeySize);
 153      fprintf(stdout, "Values:     %d bytes each (%d bytes after compression)\n",
 154              FLAGS_value_size,
 155              static_cast<int>(FLAGS_value_size * FLAGS_compression_ratio + 0.5));
 156      fprintf(stdout, "Entries:    %d\n", num_);
 157      fprintf(stdout, "RawSize:    %.1f MB (estimated)\n",
 158              ((static_cast<int64_t>(kKeySize + FLAGS_value_size) * num_) /
 159               1048576.0));
 160      fprintf(stdout, "FileSize:   %.1f MB (estimated)\n",
 161              (((kKeySize + FLAGS_value_size * FLAGS_compression_ratio) * num_) /
 162               1048576.0));
 163      PrintWarnings();
 164      fprintf(stdout, "------------------------------------------------\n");
 165    }
 166  
 167    void PrintWarnings() {
 168  #if defined(__GNUC__) && !defined(__OPTIMIZE__)
 169      fprintf(
 170          stdout,
 171          "WARNING: Optimization is disabled: benchmarks unnecessarily slow\n");
 172  #endif
 173  #ifndef NDEBUG
 174      fprintf(stdout,
 175              "WARNING: Assertions are enabled; benchmarks unnecessarily slow\n");
 176  #endif
 177    }
 178  
 179    void PrintEnvironment() {
 180      fprintf(stderr, "Kyoto Cabinet:    version %s, lib ver %d, lib rev %d\n",
 181              kyotocabinet::VERSION, kyotocabinet::LIBVER, kyotocabinet::LIBREV);
 182  
 183  #if defined(__linux)
 184      time_t now = time(nullptr);
 185      fprintf(stderr, "Date:           %s", ctime(&now));  // ctime() adds newline
 186  
 187      FILE* cpuinfo = fopen("/proc/cpuinfo", "r");
 188      if (cpuinfo != nullptr) {
 189        char line[1000];
 190        int num_cpus = 0;
 191        std::string cpu_type;
 192        std::string cache_size;
 193        while (fgets(line, sizeof(line), cpuinfo) != nullptr) {
 194          const char* sep = strchr(line, ':');
 195          if (sep == nullptr) {
 196            continue;
 197          }
 198          Slice key = TrimSpace(Slice(line, sep - 1 - line));
 199          Slice val = TrimSpace(Slice(sep + 1));
 200          if (key == "model name") {
 201            ++num_cpus;
 202            cpu_type = val.ToString();
 203          } else if (key == "cache size") {
 204            cache_size = val.ToString();
 205          }
 206        }
 207        fclose(cpuinfo);
 208        fprintf(stderr, "CPU:            %d * %s\n", num_cpus, cpu_type.c_str());
 209        fprintf(stderr, "CPUCache:       %s\n", cache_size.c_str());
 210      }
 211  #endif
 212    }
 213  
 214    void Start() {
 215      start_ = Env::Default()->NowMicros() * 1e-6;
 216      bytes_ = 0;
 217      message_.clear();
 218      last_op_finish_ = start_;
 219      hist_.Clear();
 220      done_ = 0;
 221      next_report_ = 100;
 222    }
 223  
 224    void FinishedSingleOp() {
 225      if (FLAGS_histogram) {
 226        double now = Env::Default()->NowMicros() * 1e-6;
 227        double micros = (now - last_op_finish_) * 1e6;
 228        hist_.Add(micros);
 229        if (micros > 20000) {
 230          fprintf(stderr, "long op: %.1f micros%30s\r", micros, "");
 231          fflush(stderr);
 232        }
 233        last_op_finish_ = now;
 234      }
 235  
 236      done_++;
 237      if (done_ >= next_report_) {
 238        if (next_report_ < 1000)
 239          next_report_ += 100;
 240        else if (next_report_ < 5000)
 241          next_report_ += 500;
 242        else if (next_report_ < 10000)
 243          next_report_ += 1000;
 244        else if (next_report_ < 50000)
 245          next_report_ += 5000;
 246        else if (next_report_ < 100000)
 247          next_report_ += 10000;
 248        else if (next_report_ < 500000)
 249          next_report_ += 50000;
 250        else
 251          next_report_ += 100000;
 252        fprintf(stderr, "... finished %d ops%30s\r", done_, "");
 253        fflush(stderr);
 254      }
 255    }
 256  
 257    void Stop(const Slice& name) {
 258      double finish = Env::Default()->NowMicros() * 1e-6;
 259  
 260      // Pretend at least one op was done in case we are running a benchmark
 261      // that does not call FinishedSingleOp().
 262      if (done_ < 1) done_ = 1;
 263  
 264      if (bytes_ > 0) {
 265        char rate[100];
 266        snprintf(rate, sizeof(rate), "%6.1f MB/s",
 267                 (bytes_ / 1048576.0) / (finish - start_));
 268        if (!message_.empty()) {
 269          message_ = std::string(rate) + " " + message_;
 270        } else {
 271          message_ = rate;
 272        }
 273      }
 274  
 275      fprintf(stdout, "%-12s : %11.3f micros/op;%s%s\n", name.ToString().c_str(),
 276              (finish - start_) * 1e6 / done_, (message_.empty() ? "" : " "),
 277              message_.c_str());
 278      if (FLAGS_histogram) {
 279        fprintf(stdout, "Microseconds per op:\n%s\n", hist_.ToString().c_str());
 280      }
 281      fflush(stdout);
 282    }
 283  
 284   public:
 285    enum Order { SEQUENTIAL, RANDOM };
 286    enum DBState { FRESH, EXISTING };
 287  
 288    Benchmark()
 289        : db_(nullptr),
 290          num_(FLAGS_num),
 291          reads_(FLAGS_reads < 0 ? FLAGS_num : FLAGS_reads),
 292          bytes_(0),
 293          rand_(301) {
 294      std::vector<std::string> files;
 295      std::string test_dir;
 296      Env::Default()->GetTestDirectory(&test_dir);
 297      Env::Default()->GetChildren(test_dir.c_str(), &files);
 298      if (!FLAGS_use_existing_db) {
 299        for (int i = 0; i < files.size(); i++) {
 300          if (Slice(files[i]).starts_with("dbbench_polyDB")) {
 301            std::string file_name(test_dir);
 302            file_name += "/";
 303            file_name += files[i];
 304            Env::Default()->DeleteFile(file_name.c_str());
 305          }
 306        }
 307      }
 308    }
 309  
 310    ~Benchmark() {
 311      if (!db_->close()) {
 312        fprintf(stderr, "close error: %s\n", db_->error().name());
 313      }
 314    }
 315  
 316    void Run() {
 317      PrintHeader();
 318      Open(false);
 319  
 320      const char* benchmarks = FLAGS_benchmarks;
 321      while (benchmarks != nullptr) {
 322        const char* sep = strchr(benchmarks, ',');
 323        Slice name;
 324        if (sep == nullptr) {
 325          name = benchmarks;
 326          benchmarks = nullptr;
 327        } else {
 328          name = Slice(benchmarks, sep - benchmarks);
 329          benchmarks = sep + 1;
 330        }
 331  
 332        Start();
 333  
 334        bool known = true;
 335        bool write_sync = false;
 336        if (name == Slice("fillseq")) {
 337          Write(write_sync, SEQUENTIAL, FRESH, num_, FLAGS_value_size, 1);
 338          DBSynchronize(db_);
 339        } else if (name == Slice("fillrandom")) {
 340          Write(write_sync, RANDOM, FRESH, num_, FLAGS_value_size, 1);
 341          DBSynchronize(db_);
 342        } else if (name == Slice("overwrite")) {
 343          Write(write_sync, RANDOM, EXISTING, num_, FLAGS_value_size, 1);
 344          DBSynchronize(db_);
 345        } else if (name == Slice("fillrandsync")) {
 346          write_sync = true;
 347          Write(write_sync, RANDOM, FRESH, num_ / 100, FLAGS_value_size, 1);
 348          DBSynchronize(db_);
 349        } else if (name == Slice("fillseqsync")) {
 350          write_sync = true;
 351          Write(write_sync, SEQUENTIAL, FRESH, num_ / 100, FLAGS_value_size, 1);
 352          DBSynchronize(db_);
 353        } else if (name == Slice("fillrand100K")) {
 354          Write(write_sync, RANDOM, FRESH, num_ / 1000, 100 * 1000, 1);
 355          DBSynchronize(db_);
 356        } else if (name == Slice("fillseq100K")) {
 357          Write(write_sync, SEQUENTIAL, FRESH, num_ / 1000, 100 * 1000, 1);
 358          DBSynchronize(db_);
 359        } else if (name == Slice("readseq")) {
 360          ReadSequential();
 361        } else if (name == Slice("readrandom")) {
 362          ReadRandom();
 363        } else if (name == Slice("readrand100K")) {
 364          int n = reads_;
 365          reads_ /= 1000;
 366          ReadRandom();
 367          reads_ = n;
 368        } else if (name == Slice("readseq100K")) {
 369          int n = reads_;
 370          reads_ /= 1000;
 371          ReadSequential();
 372          reads_ = n;
 373        } else {
 374          known = false;
 375          if (name != Slice()) {  // No error message for empty name
 376            fprintf(stderr, "unknown benchmark '%s'\n", name.ToString().c_str());
 377          }
 378        }
 379        if (known) {
 380          Stop(name);
 381        }
 382      }
 383    }
 384  
 385   private:
 386    void Open(bool sync) {
 387      assert(db_ == nullptr);
 388  
 389      // Initialize db_
 390      db_ = new kyotocabinet::TreeDB();
 391      char file_name[100];
 392      db_num_++;
 393      std::string test_dir;
 394      Env::Default()->GetTestDirectory(&test_dir);
 395      snprintf(file_name, sizeof(file_name), "%s/dbbench_polyDB-%d.kct",
 396               test_dir.c_str(), db_num_);
 397  
 398      // Create tuning options and open the database
 399      int open_options =
 400          kyotocabinet::PolyDB::OWRITER | kyotocabinet::PolyDB::OCREATE;
 401      int tune_options =
 402          kyotocabinet::TreeDB::TSMALL | kyotocabinet::TreeDB::TLINEAR;
 403      if (FLAGS_compression) {
 404        tune_options |= kyotocabinet::TreeDB::TCOMPRESS;
 405        db_->tune_compressor(&comp_);
 406      }
 407      db_->tune_options(tune_options);
 408      db_->tune_page_cache(FLAGS_cache_size);
 409      db_->tune_page(FLAGS_page_size);
 410      db_->tune_map(256LL << 20);
 411      if (sync) {
 412        open_options |= kyotocabinet::PolyDB::OAUTOSYNC;
 413      }
 414      if (!db_->open(file_name, open_options)) {
 415        fprintf(stderr, "open error: %s\n", db_->error().name());
 416      }
 417    }
 418  
 419    void Write(bool sync, Order order, DBState state, int num_entries,
 420               int value_size, int entries_per_batch) {
 421      // Create new database if state == FRESH
 422      if (state == FRESH) {
 423        if (FLAGS_use_existing_db) {
 424          message_ = "skipping (--use_existing_db is true)";
 425          return;
 426        }
 427        delete db_;
 428        db_ = nullptr;
 429        Open(sync);
 430        Start();  // Do not count time taken to destroy/open
 431      }
 432  
 433      if (num_entries != num_) {
 434        char msg[100];
 435        snprintf(msg, sizeof(msg), "(%d ops)", num_entries);
 436        message_ = msg;
 437      }
 438  
 439      // Write to database
 440      for (int i = 0; i < num_entries; i++) {
 441        const int k = (order == SEQUENTIAL) ? i : (rand_.Next() % num_entries);
 442        char key[100];
 443        snprintf(key, sizeof(key), "%016d", k);
 444        bytes_ += value_size + strlen(key);
 445        std::string cpp_key = key;
 446        if (!db_->set(cpp_key, gen_.Generate(value_size).ToString())) {
 447          fprintf(stderr, "set error: %s\n", db_->error().name());
 448        }
 449        FinishedSingleOp();
 450      }
 451    }
 452  
 453    void ReadSequential() {
 454      kyotocabinet::DB::Cursor* cur = db_->cursor();
 455      cur->jump();
 456      std::string ckey, cvalue;
 457      while (cur->get(&ckey, &cvalue, true)) {
 458        bytes_ += ckey.size() + cvalue.size();
 459        FinishedSingleOp();
 460      }
 461      delete cur;
 462    }
 463  
 464    void ReadRandom() {
 465      std::string value;
 466      for (int i = 0; i < reads_; i++) {
 467        char key[100];
 468        const int k = rand_.Next() % reads_;
 469        snprintf(key, sizeof(key), "%016d", k);
 470        db_->get(key, &value);
 471        FinishedSingleOp();
 472      }
 473    }
 474  };
 475  
 476  }  // namespace leveldb
 477  
 478  int main(int argc, char** argv) {
 479    std::string default_db_path;
 480    for (int i = 1; i < argc; i++) {
 481      double d;
 482      int n;
 483      char junk;
 484      if (leveldb::Slice(argv[i]).starts_with("--benchmarks=")) {
 485        FLAGS_benchmarks = argv[i] + strlen("--benchmarks=");
 486      } else if (sscanf(argv[i], "--compression_ratio=%lf%c", &d, &junk) == 1) {
 487        FLAGS_compression_ratio = d;
 488      } else if (sscanf(argv[i], "--histogram=%d%c", &n, &junk) == 1 &&
 489                 (n == 0 || n == 1)) {
 490        FLAGS_histogram = n;
 491      } else if (sscanf(argv[i], "--num=%d%c", &n, &junk) == 1) {
 492        FLAGS_num = n;
 493      } else if (sscanf(argv[i], "--reads=%d%c", &n, &junk) == 1) {
 494        FLAGS_reads = n;
 495      } else if (sscanf(argv[i], "--value_size=%d%c", &n, &junk) == 1) {
 496        FLAGS_value_size = n;
 497      } else if (sscanf(argv[i], "--cache_size=%d%c", &n, &junk) == 1) {
 498        FLAGS_cache_size = n;
 499      } else if (sscanf(argv[i], "--page_size=%d%c", &n, &junk) == 1) {
 500        FLAGS_page_size = n;
 501      } else if (sscanf(argv[i], "--compression=%d%c", &n, &junk) == 1 &&
 502                 (n == 0 || n == 1)) {
 503        FLAGS_compression = (n == 1) ? true : false;
 504      } else if (strncmp(argv[i], "--db=", 5) == 0) {
 505        FLAGS_db = argv[i] + 5;
 506      } else {
 507        fprintf(stderr, "Invalid flag '%s'\n", argv[i]);
 508        exit(1);
 509      }
 510    }
 511  
 512    // Choose a location for the test database if none given with --db=<path>
 513    if (FLAGS_db == nullptr) {
 514      leveldb::Env::Default()->GetTestDirectory(&default_db_path);
 515      default_db_path += "/dbbench";
 516      FLAGS_db = default_db_path.c_str();
 517    }
 518  
 519    leveldb::Benchmark benchmark;
 520    benchmark.Run();
 521    return 0;
 522  }
 523