From 59cffe02c404b3e5773166e4e00c2def09de8335 Mon Sep 17 00:00:00 2001 From: Kai Liu Date: Thu, 13 Feb 2014 13:55:04 -0800 Subject: [PATCH] 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 --- table/table_reader_bench.cc | 35 +++++++++++++++++++++++------------ 1 file changed, 23 insertions(+), 12 deletions(-) diff --git a/table/table_reader_bench.cc b/table/table_reader_bench.cc index 9d3340413..684ac732e 100644 --- a/table/table_reader_bench.cc +++ b/table/table_reader_bench.cc @@ -40,6 +40,10 @@ static bool DummySaveValue(void* arg, const ParsedInternalKey& ikey, 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 @@ -57,7 +61,7 @@ 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 through_db, bool measured_by_nanosecond) { rocksdb::InternalKeyComparator ikc(opts.comparator); Slice prefix = Slice(); @@ -126,7 +130,7 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, if (!for_iterator) { // Query one existing key; std::string key = MakeKey(r1, r2, through_db); - uint64_t start_micros = env->NowMicros(); + uint64_t start_micros = Now(env, measured_by_nanosecond); port::MemoryBarrier(); if (!through_db) { s = table_reader->Get(read_options, key, arg, DummySaveValue, @@ -135,7 +139,7 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, s = db->Get(read_options, key, &result); } port::MemoryBarrier(); - hist.Add(env->NowMicros() - start_micros); + hist.Add(Now(env, measured_by_nanosecond) - start_micros); } else { int r2_len; if (if_query_empty_keys) { @@ -153,7 +157,7 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, read_options.prefix = &prefix; } uint64_t total_time = 0; - uint64_t start_micros = env->NowMicros(); + uint64_t start_micros = Now(env, measured_by_nanosecond); port::MemoryBarrier(); Iterator* iter; if (!through_db) { @@ -168,9 +172,9 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, } // verify key; port::MemoryBarrier(); - total_time += env->NowMicros() - start_micros; + total_time += Now(env, measured_by_nanosecond) - start_micros; assert(Slice(MakeKey(r1, r2 + count, through_db)) == iter->key()); - start_micros = env->NowMicros(); + start_micros = Now(env, measured_by_nanosecond); if (++count >= r2_len) { break; } @@ -183,7 +187,7 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, } delete iter; port::MemoryBarrier(); - total_time += env->NowMicros() - start_micros; + total_time += Now(env, measured_by_nanosecond) - start_micros; hist.Add(total_time); } } @@ -198,9 +202,10 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, "num_key2: %5d %10s\n" "===================================================" "====================================================" - "\nHistogram (unit: microseconds): \n%s", + "\nHistogram (unit: %s): \n%s", opts.table_factory->Name(), num_keys1, num_keys2, - for_iterator? "iterator" : (if_query_empty_keys ? "empty" : "non_empty"), + 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); @@ -210,7 +215,7 @@ void TableReaderBenchmark(Options& opts, EnvOptions& env_options, DestroyDB(dbname, opts); } } -} // namespace rocksdb +} // namespace rocksdb DEFINE_bool(query_empty, false, "query non-existing keys instead of existing " "ones."); @@ -223,7 +228,9 @@ 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]) + @@ -252,11 +259,15 @@ int main(int argc, char** argv) { } 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(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); + FLAGS_query_empty, FLAGS_iterator, FLAGS_through_db, + measured_by_nanosecond); delete tf; return 0; } -- GitLab