075a35a6d3
various platforms; improve android port speed. Avoid static initializer by using a new portability interface for thread-safe lazy initialization. Custom ports will need to be extended to implement InitOnce/OnceType/LEVELDB_ONCE_INIT. Fix endian-ness detection (fixes Powerpc builds). Build related fixes: - Support platforms that have unversioned shared libraries. - Fix IOS build rules. Android improvements - Speed up atomic pointers - Share more code with port_posix. Do not spin in a tight loop attempting compactions if the file system is inaccessible (e.g., if kerberos tickets have expired or if it is out of space).
529 lines
16 KiB
C++
529 lines
16 KiB
C++
// Copyright (c) 2011 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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#include <stdio.h>
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#include <stdlib.h>
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#include <kcpolydb.h>
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#include "util/histogram.h"
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#include "util/random.h"
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#include "util/testutil.h"
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// Comma-separated list of operations to run in the specified order
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// Actual benchmarks:
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//
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// fillseq -- write N values in sequential key order in async mode
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// fillrandom -- write N values in random key order in async mode
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// overwrite -- overwrite N values in random key order in async mode
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// fillseqsync -- write N/100 values in sequential key order in sync mode
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// fillrandsync -- write N/100 values in random key order in sync mode
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// fillrand100K -- write N/1000 100K values in random order in async mode
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// fillseq100K -- write N/1000 100K values in seq order in async mode
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// readseq -- read N times sequentially
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// readseq100K -- read N/1000 100K values in sequential order in async mode
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// readrand100K -- read N/1000 100K values in sequential order in async mode
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// readrandom -- read N times in random order
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static const char* FLAGS_benchmarks =
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"fillseq,"
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"fillseqsync,"
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"fillrandsync,"
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"fillrandom,"
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"overwrite,"
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"readrandom,"
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"readseq,"
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"fillrand100K,"
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"fillseq100K,"
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"readseq100K,"
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"readrand100K,"
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;
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// Number of key/values to place in database
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static int FLAGS_num = 1000000;
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// Number of read operations to do. If negative, do FLAGS_num reads.
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static int FLAGS_reads = -1;
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// Size of each value
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static int FLAGS_value_size = 100;
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// Arrange to generate values that shrink to this fraction of
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// their original size after compression
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static double FLAGS_compression_ratio = 0.5;
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// Print histogram of operation timings
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static bool FLAGS_histogram = false;
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// Cache size. Default 4 MB
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static int FLAGS_cache_size = 4194304;
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// Page size. Default 1 KB
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static int FLAGS_page_size = 1024;
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// If true, do not destroy the existing database. If you set this
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// flag and also specify a benchmark that wants a fresh database, that
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// benchmark will fail.
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static bool FLAGS_use_existing_db = false;
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// Compression flag. If true, compression is on. If false, compression
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// is off.
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static bool FLAGS_compression = true;
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// Use the db with the following name.
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static const char* FLAGS_db = NULL;
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inline
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static void DBSynchronize(kyotocabinet::TreeDB* db_)
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{
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// Synchronize will flush writes to disk
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if (!db_->synchronize()) {
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fprintf(stderr, "synchronize error: %s\n", db_->error().name());
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}
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}
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namespace leveldb {
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// Helper for quickly generating random data.
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namespace {
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class RandomGenerator {
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private:
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std::string data_;
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int pos_;
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public:
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RandomGenerator() {
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// We use a limited amount of data over and over again and ensure
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// that it is larger than the compression window (32KB), and also
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// large enough to serve all typical value sizes we want to write.
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Random rnd(301);
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std::string piece;
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while (data_.size() < 1048576) {
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// Add a short fragment that is as compressible as specified
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// by FLAGS_compression_ratio.
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test::CompressibleString(&rnd, FLAGS_compression_ratio, 100, &piece);
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data_.append(piece);
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}
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pos_ = 0;
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}
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Slice Generate(int len) {
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if (pos_ + len > data_.size()) {
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pos_ = 0;
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assert(len < data_.size());
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}
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pos_ += len;
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return Slice(data_.data() + pos_ - len, len);
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}
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};
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static Slice TrimSpace(Slice s) {
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int start = 0;
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while (start < s.size() && isspace(s[start])) {
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start++;
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}
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int limit = s.size();
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while (limit > start && isspace(s[limit-1])) {
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limit--;
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}
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return Slice(s.data() + start, limit - start);
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}
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} // namespace
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class Benchmark {
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private:
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kyotocabinet::TreeDB* db_;
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int db_num_;
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int num_;
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int reads_;
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double start_;
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double last_op_finish_;
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int64_t bytes_;
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std::string message_;
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Histogram hist_;
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RandomGenerator gen_;
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Random rand_;
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kyotocabinet::LZOCompressor<kyotocabinet::LZO::RAW> comp_;
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// State kept for progress messages
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int done_;
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int next_report_; // When to report next
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void PrintHeader() {
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const int kKeySize = 16;
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PrintEnvironment();
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fprintf(stdout, "Keys: %d bytes each\n", kKeySize);
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fprintf(stdout, "Values: %d bytes each (%d bytes after compression)\n",
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FLAGS_value_size,
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static_cast<int>(FLAGS_value_size * FLAGS_compression_ratio + 0.5));
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fprintf(stdout, "Entries: %d\n", num_);
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fprintf(stdout, "RawSize: %.1f MB (estimated)\n",
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((static_cast<int64_t>(kKeySize + FLAGS_value_size) * num_)
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/ 1048576.0));
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fprintf(stdout, "FileSize: %.1f MB (estimated)\n",
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(((kKeySize + FLAGS_value_size * FLAGS_compression_ratio) * num_)
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/ 1048576.0));
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PrintWarnings();
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fprintf(stdout, "------------------------------------------------\n");
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}
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void PrintWarnings() {
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#if defined(__GNUC__) && !defined(__OPTIMIZE__)
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fprintf(stdout,
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"WARNING: Optimization is disabled: benchmarks unnecessarily slow\n"
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);
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#endif
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#ifndef NDEBUG
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fprintf(stdout,
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"WARNING: Assertions are enabled; benchmarks unnecessarily slow\n");
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#endif
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}
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void PrintEnvironment() {
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fprintf(stderr, "Kyoto Cabinet: version %s, lib ver %d, lib rev %d\n",
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kyotocabinet::VERSION, kyotocabinet::LIBVER, kyotocabinet::LIBREV);
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#if defined(__linux)
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time_t now = time(NULL);
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fprintf(stderr, "Date: %s", ctime(&now)); // ctime() adds newline
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FILE* cpuinfo = fopen("/proc/cpuinfo", "r");
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if (cpuinfo != NULL) {
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char line[1000];
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int num_cpus = 0;
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std::string cpu_type;
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std::string cache_size;
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while (fgets(line, sizeof(line), cpuinfo) != NULL) {
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const char* sep = strchr(line, ':');
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if (sep == NULL) {
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continue;
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}
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Slice key = TrimSpace(Slice(line, sep - 1 - line));
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Slice val = TrimSpace(Slice(sep + 1));
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if (key == "model name") {
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++num_cpus;
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cpu_type = val.ToString();
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} else if (key == "cache size") {
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cache_size = val.ToString();
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}
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}
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fclose(cpuinfo);
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fprintf(stderr, "CPU: %d * %s\n", num_cpus, cpu_type.c_str());
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fprintf(stderr, "CPUCache: %s\n", cache_size.c_str());
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}
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#endif
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}
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void Start() {
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start_ = Env::Default()->NowMicros() * 1e-6;
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bytes_ = 0;
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message_.clear();
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last_op_finish_ = start_;
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hist_.Clear();
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done_ = 0;
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next_report_ = 100;
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}
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void FinishedSingleOp() {
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if (FLAGS_histogram) {
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double now = Env::Default()->NowMicros() * 1e-6;
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double micros = (now - last_op_finish_) * 1e6;
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hist_.Add(micros);
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if (micros > 20000) {
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fprintf(stderr, "long op: %.1f micros%30s\r", micros, "");
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fflush(stderr);
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}
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last_op_finish_ = now;
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}
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done_++;
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if (done_ >= next_report_) {
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if (next_report_ < 1000) next_report_ += 100;
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else if (next_report_ < 5000) next_report_ += 500;
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else if (next_report_ < 10000) next_report_ += 1000;
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else if (next_report_ < 50000) next_report_ += 5000;
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else if (next_report_ < 100000) next_report_ += 10000;
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else if (next_report_ < 500000) next_report_ += 50000;
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else next_report_ += 100000;
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fprintf(stderr, "... finished %d ops%30s\r", done_, "");
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fflush(stderr);
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}
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}
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void Stop(const Slice& name) {
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double finish = Env::Default()->NowMicros() * 1e-6;
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// Pretend at least one op was done in case we are running a benchmark
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// that does not call FinishedSingleOp().
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if (done_ < 1) done_ = 1;
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if (bytes_ > 0) {
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char rate[100];
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snprintf(rate, sizeof(rate), "%6.1f MB/s",
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(bytes_ / 1048576.0) / (finish - start_));
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if (!message_.empty()) {
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message_ = std::string(rate) + " " + message_;
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} else {
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message_ = rate;
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}
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}
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fprintf(stdout, "%-12s : %11.3f micros/op;%s%s\n",
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name.ToString().c_str(),
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(finish - start_) * 1e6 / done_,
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(message_.empty() ? "" : " "),
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message_.c_str());
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if (FLAGS_histogram) {
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fprintf(stdout, "Microseconds per op:\n%s\n", hist_.ToString().c_str());
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}
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fflush(stdout);
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}
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public:
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enum Order {
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SEQUENTIAL,
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RANDOM
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};
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enum DBState {
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FRESH,
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EXISTING
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};
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Benchmark()
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: db_(NULL),
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num_(FLAGS_num),
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reads_(FLAGS_reads < 0 ? FLAGS_num : FLAGS_reads),
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bytes_(0),
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rand_(301) {
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std::vector<std::string> files;
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std::string test_dir;
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Env::Default()->GetTestDirectory(&test_dir);
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Env::Default()->GetChildren(test_dir.c_str(), &files);
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if (!FLAGS_use_existing_db) {
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for (int i = 0; i < files.size(); i++) {
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if (Slice(files[i]).starts_with("dbbench_polyDB")) {
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std::string file_name(test_dir);
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file_name += "/";
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file_name += files[i];
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Env::Default()->DeleteFile(file_name.c_str());
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}
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}
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}
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}
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~Benchmark() {
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if (!db_->close()) {
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fprintf(stderr, "close error: %s\n", db_->error().name());
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}
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}
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void Run() {
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PrintHeader();
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Open(false);
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const char* benchmarks = FLAGS_benchmarks;
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while (benchmarks != NULL) {
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const char* sep = strchr(benchmarks, ',');
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Slice name;
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if (sep == NULL) {
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name = benchmarks;
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benchmarks = NULL;
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} else {
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name = Slice(benchmarks, sep - benchmarks);
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benchmarks = sep + 1;
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}
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Start();
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bool known = true;
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bool write_sync = false;
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if (name == Slice("fillseq")) {
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Write(write_sync, SEQUENTIAL, FRESH, num_, FLAGS_value_size, 1);
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} else if (name == Slice("fillrandom")) {
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Write(write_sync, RANDOM, FRESH, num_, FLAGS_value_size, 1);
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DBSynchronize(db_);
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} else if (name == Slice("overwrite")) {
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Write(write_sync, RANDOM, EXISTING, num_, FLAGS_value_size, 1);
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DBSynchronize(db_);
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} else if (name == Slice("fillrandsync")) {
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write_sync = true;
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Write(write_sync, RANDOM, FRESH, num_ / 100, FLAGS_value_size, 1);
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DBSynchronize(db_);
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} else if (name == Slice("fillseqsync")) {
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write_sync = true;
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Write(write_sync, SEQUENTIAL, FRESH, num_ / 100, FLAGS_value_size, 1);
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DBSynchronize(db_);
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} else if (name == Slice("fillrand100K")) {
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Write(write_sync, RANDOM, FRESH, num_ / 1000, 100 * 1000, 1);
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DBSynchronize(db_);
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} else if (name == Slice("fillseq100K")) {
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Write(write_sync, SEQUENTIAL, FRESH, num_ / 1000, 100 * 1000, 1);
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DBSynchronize(db_);
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} else if (name == Slice("readseq")) {
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ReadSequential();
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} else if (name == Slice("readrandom")) {
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ReadRandom();
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} else if (name == Slice("readrand100K")) {
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int n = reads_;
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reads_ /= 1000;
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ReadRandom();
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reads_ = n;
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} else if (name == Slice("readseq100K")) {
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int n = reads_;
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reads_ /= 1000;
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ReadSequential();
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reads_ = n;
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} else {
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known = false;
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if (name != Slice()) { // No error message for empty name
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fprintf(stderr, "unknown benchmark '%s'\n", name.ToString().c_str());
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}
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}
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if (known) {
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Stop(name);
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}
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}
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}
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private:
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void Open(bool sync) {
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assert(db_ == NULL);
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// Initialize db_
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db_ = new kyotocabinet::TreeDB();
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char file_name[100];
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db_num_++;
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std::string test_dir;
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Env::Default()->GetTestDirectory(&test_dir);
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snprintf(file_name, sizeof(file_name),
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"%s/dbbench_polyDB-%d.kct",
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test_dir.c_str(),
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db_num_);
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// Create tuning options and open the database
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int open_options = kyotocabinet::PolyDB::OWRITER |
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kyotocabinet::PolyDB::OCREATE;
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int tune_options = kyotocabinet::TreeDB::TSMALL |
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kyotocabinet::TreeDB::TLINEAR;
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if (FLAGS_compression) {
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tune_options |= kyotocabinet::TreeDB::TCOMPRESS;
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db_->tune_compressor(&comp_);
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}
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db_->tune_options(tune_options);
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db_->tune_page_cache(FLAGS_cache_size);
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db_->tune_page(FLAGS_page_size);
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db_->tune_map(256LL<<20);
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if (sync) {
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open_options |= kyotocabinet::PolyDB::OAUTOSYNC;
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}
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if (!db_->open(file_name, open_options)) {
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fprintf(stderr, "open error: %s\n", db_->error().name());
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}
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}
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void Write(bool sync, Order order, DBState state,
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int num_entries, int value_size, int entries_per_batch) {
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// Create new database if state == FRESH
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if (state == FRESH) {
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if (FLAGS_use_existing_db) {
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message_ = "skipping (--use_existing_db is true)";
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return;
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}
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delete db_;
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db_ = NULL;
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Open(sync);
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Start(); // Do not count time taken to destroy/open
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}
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if (num_entries != num_) {
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char msg[100];
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snprintf(msg, sizeof(msg), "(%d ops)", num_entries);
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message_ = msg;
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}
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// Write to database
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for (int i = 0; i < num_entries; i++)
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{
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const int k = (order == SEQUENTIAL) ? i : (rand_.Next() % num_entries);
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char key[100];
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snprintf(key, sizeof(key), "%016d", k);
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bytes_ += value_size + strlen(key);
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std::string cpp_key = key;
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if (!db_->set(cpp_key, gen_.Generate(value_size).ToString())) {
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fprintf(stderr, "set error: %s\n", db_->error().name());
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}
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FinishedSingleOp();
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}
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}
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void ReadSequential() {
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kyotocabinet::DB::Cursor* cur = db_->cursor();
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cur->jump();
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std::string ckey, cvalue;
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while (cur->get(&ckey, &cvalue, true)) {
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bytes_ += ckey.size() + cvalue.size();
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FinishedSingleOp();
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}
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delete cur;
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}
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void ReadRandom() {
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std::string value;
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for (int i = 0; i < reads_; i++) {
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char key[100];
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const int k = rand_.Next() % reads_;
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snprintf(key, sizeof(key), "%016d", k);
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db_->get(key, &value);
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FinishedSingleOp();
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}
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}
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};
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} // namespace leveldb
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int main(int argc, char** argv) {
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std::string default_db_path;
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for (int i = 1; i < argc; i++) {
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double d;
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int n;
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char junk;
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if (leveldb::Slice(argv[i]).starts_with("--benchmarks=")) {
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FLAGS_benchmarks = argv[i] + strlen("--benchmarks=");
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} else if (sscanf(argv[i], "--compression_ratio=%lf%c", &d, &junk) == 1) {
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FLAGS_compression_ratio = d;
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} else if (sscanf(argv[i], "--histogram=%d%c", &n, &junk) == 1 &&
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(n == 0 || n == 1)) {
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FLAGS_histogram = n;
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} else if (sscanf(argv[i], "--num=%d%c", &n, &junk) == 1) {
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FLAGS_num = n;
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} else if (sscanf(argv[i], "--reads=%d%c", &n, &junk) == 1) {
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FLAGS_reads = n;
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} else if (sscanf(argv[i], "--value_size=%d%c", &n, &junk) == 1) {
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FLAGS_value_size = n;
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} 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 if (strncmp(argv[i], "--db=", 5) == 0) {
|
|
FLAGS_db = argv[i] + 5;
|
|
} else {
|
|
fprintf(stderr, "Invalid flag '%s'\n", argv[i]);
|
|
exit(1);
|
|
}
|
|
}
|
|
|
|
// Choose a location for the test database if none given with --db=<path>
|
|
if (FLAGS_db == NULL) {
|
|
leveldb::Env::Default()->GetTestDirectory(&default_db_path);
|
|
default_db_path += "/dbbench";
|
|
FLAGS_db = default_db_path.c_str();
|
|
}
|
|
|
|
leveldb::Benchmark benchmark;
|
|
benchmark.Run();
|
|
return 0;
|
|
}
|