rocksdb/db/perf_context_test.cc

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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
// This source code is licensed under both the GPLv2 (found in the
// COPYING file in the root directory) and Apache 2.0 License
// (found in the LICENSE.Apache file in the root directory).
//
#include "rocksdb/perf_context.h"
#include <algorithm>
#include <iostream>
#include <thread>
#include <vector>
#include "monitoring/histogram.h"
#include "monitoring/instrumented_mutex.h"
#include "monitoring/perf_context_imp.h"
#include "monitoring/thread_status_util.h"
#include "port/port.h"
#include "rocksdb/db.h"
#include "rocksdb/memtablerep.h"
2014-03-14 20:02:20 +00:00
#include "rocksdb/slice_transform.h"
#include "rocksdb/system_clock.h"
#include "test_util/testharness.h"
#include "util/stop_watch.h"
#include "util/string_util.h"
#include "utilities/merge_operators.h"
bool FLAGS_random_key = false;
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
bool FLAGS_use_set_based_memetable = false;
int FLAGS_total_keys = 100;
int FLAGS_write_buffer_size = 1000000000;
int FLAGS_max_write_buffer_number = 8;
int FLAGS_min_write_buffer_number_to_merge = 7;
bool FLAGS_verbose = false;
// Path to the database on file system
const std::string kDbName =
ROCKSDB_NAMESPACE::test::PerThreadDBPath("perf_context_test");
namespace ROCKSDB_NAMESPACE {
std::shared_ptr<DB> OpenDb(bool read_only = false) {
DB* db;
Options options;
options.create_if_missing = true;
options.max_open_files = -1;
options.write_buffer_size = FLAGS_write_buffer_size;
options.max_write_buffer_number = FLAGS_max_write_buffer_number;
options.min_write_buffer_number_to_merge =
FLAGS_min_write_buffer_number_to_merge;
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
if (FLAGS_use_set_based_memetable) {
options.prefix_extractor.reset(
ROCKSDB_NAMESPACE::NewFixedPrefixTransform(0));
options.memtable_factory.reset(NewHashSkipListRepFactory());
}
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
Status s;
if (!read_only) {
s = DB::Open(options, kDbName, &db);
} else {
s = DB::OpenForReadOnly(options, kDbName, &db);
}
EXPECT_OK(s);
return std::shared_ptr<DB>(db);
}
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
class PerfContextTest : public testing::Test {};
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
TEST_F(PerfContextTest, SeekIntoDeletion) {
ASSERT_OK(DestroyDB(kDbName, Options()));
auto db = OpenDb();
WriteOptions write_options;
ReadOptions read_options;
for (int i = 0; i < FLAGS_total_keys; ++i) {
std::string key = "k" + std::to_string(i);
std::string value = "v" + std::to_string(i);
ASSERT_OK(db->Put(write_options, key, value));
}
for (int i = 0; i < FLAGS_total_keys - 1; ++i) {
std::string key = "k" + std::to_string(i);
ASSERT_OK(db->Delete(write_options, key));
}
HistogramImpl hist_get;
HistogramImpl hist_get_time;
for (int i = 0; i < FLAGS_total_keys - 1; ++i) {
std::string key = "k" + std::to_string(i);
std::string value;
get_perf_context()->Reset();
StopWatchNano timer(SystemClock::Default().get());
timer.Start();
auto status = db->Get(read_options, key, &value);
auto elapsed_nanos = timer.ElapsedNanos();
ASSERT_TRUE(status.IsNotFound());
hist_get.Add(get_perf_context()->user_key_comparison_count);
hist_get_time.Add(elapsed_nanos);
}
if (FLAGS_verbose) {
std::cout << "Get user key comparison: \n"
<< hist_get.ToString() << "Get time: \n"
<< hist_get_time.ToString();
}
{
HistogramImpl hist_seek_to_first;
std::unique_ptr<Iterator> iter(db->NewIterator(read_options));
get_perf_context()->Reset();
StopWatchNano timer(SystemClock::Default().get(), true);
iter->SeekToFirst();
hist_seek_to_first.Add(get_perf_context()->user_key_comparison_count);
auto elapsed_nanos = timer.ElapsedNanos();
if (FLAGS_verbose) {
std::cout << "SeekToFirst user key comparison: \n"
<< hist_seek_to_first.ToString() << "ikey skipped: "
<< get_perf_context()->internal_key_skipped_count << "\n"
<< "idelete skipped: "
<< get_perf_context()->internal_delete_skipped_count << "\n"
<< "elapsed: " << elapsed_nanos << "\n";
}
}
HistogramImpl hist_seek;
for (int i = 0; i < FLAGS_total_keys; ++i) {
std::unique_ptr<Iterator> iter(db->NewIterator(read_options));
std::string key = "k" + std::to_string(i);
get_perf_context()->Reset();
StopWatchNano timer(SystemClock::Default().get(), true);
iter->Seek(key);
auto elapsed_nanos = timer.ElapsedNanos();
hist_seek.Add(get_perf_context()->user_key_comparison_count);
if (FLAGS_verbose) {
std::cout << "seek cmp: " << get_perf_context()->user_key_comparison_count
<< " ikey skipped "
<< get_perf_context()->internal_key_skipped_count
<< " idelete skipped "
<< get_perf_context()->internal_delete_skipped_count
<< " elapsed: " << elapsed_nanos << "ns\n";
}
get_perf_context()->Reset();
ASSERT_TRUE(iter->Valid());
StopWatchNano timer2(SystemClock::Default().get(), true);
iter->Next();
ASSERT_OK(iter->status());
auto elapsed_nanos2 = timer2.ElapsedNanos();
if (FLAGS_verbose) {
std::cout << "next cmp: " << get_perf_context()->user_key_comparison_count
<< "elapsed: " << elapsed_nanos2 << "ns\n";
}
}
if (FLAGS_verbose) {
std::cout << "Seek user key comparison: \n" << hist_seek.ToString();
}
}
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
TEST_F(PerfContextTest, StopWatchNanoOverhead) {
// profile the timer cost by itself!
const int kTotalIterations = 1000000;
std::vector<uint64_t> timings(kTotalIterations);
StopWatchNano timer(SystemClock::Default().get(), true);
for (auto& timing : timings) {
timing = timer.ElapsedNanos(true /* reset */);
}
HistogramImpl histogram;
for (const auto timing : timings) {
histogram.Add(timing);
}
if (FLAGS_verbose) {
std::cout << histogram.ToString();
}
}
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
TEST_F(PerfContextTest, StopWatchOverhead) {
// profile the timer cost by itself!
const int kTotalIterations = 1000000;
uint64_t elapsed = 0;
std::vector<uint64_t> timings(kTotalIterations);
Group rocksdb.sst.read.micros stat by IOActivity flush and compaction (#11288) Summary: **Context:** The existing stat rocksdb.sst.read.micros does not reflect each of compaction and flush cases but aggregate them, which is not so helpful for us to understand IO read behavior of each of them. **Summary** - Update `StopWatch` and `RandomAccessFileReader` to record `rocksdb.sst.read.micros` and `rocksdb.file.{flush/compaction}.read.micros` - Fixed the default histogram in `RandomAccessFileReader` - New field `ReadOptions/IOOptions::io_activity`; Pass `ReadOptions` through paths under db open, flush and compaction to where we can prepare `IOOptions` and pass it to `RandomAccessFileReader` - Use `thread_status_util` for assertion in `DbStressFSWrapper` for continuous testing on we are passing correct `io_activity` under db open, flush and compaction Pull Request resolved: https://github.com/facebook/rocksdb/pull/11288 Test Plan: - **Stress test** - **Db bench 1: rocksdb.sst.read.micros COUNT ≈ sum of rocksdb.file.read.flush.micros's and rocksdb.file.read.compaction.micros's.** (without blob) - May not be exactly the same due to `HistogramStat::Add` only guarantees atomic not accuracy across threads. ``` ./db_bench -db=/dev/shm/testdb/ -statistics=true -benchmarks="fillseq" -key_size=32 -value_size=512 -num=50000 -write_buffer_size=655 -target_file_size_base=655 -disable_auto_compactions=false -compression_type=none -bloom_bits=3 (-use_plain_table=1 -prefix_size=10) ``` ``` // BlockBasedTable rocksdb.sst.read.micros P50 : 2.009374 P95 : 4.968548 P99 : 8.110362 P100 : 43.000000 COUNT : 40456 SUM : 114805 rocksdb.file.read.flush.micros P50 : 1.871841 P95 : 3.872407 P99 : 5.540541 P100 : 43.000000 COUNT : 2250 SUM : 6116 rocksdb.file.read.compaction.micros P50 : 2.023109 P95 : 5.029149 P99 : 8.196910 P100 : 26.000000 COUNT : 38206 SUM : 108689 // PlainTable Does not apply ``` - **Db bench 2: performance** **Read** SETUP: db with 900 files ``` ./db_bench -db=/dev/shm/testdb/ -benchmarks="fillseq" -key_size=32 -value_size=512 -num=50000 -write_buffer_size=655 -disable_auto_compactions=true -target_file_size_base=655 -compression_type=none ```run till convergence ``` ./db_bench -seed=1678564177044286 -use_existing_db=true -db=/dev/shm/testdb -benchmarks=readrandom[-X60] -statistics=true -num=1000000 -disable_auto_compactions=true -compression_type=none -bloom_bits=3 ``` Pre-change `readrandom [AVG 60 runs] : 21568 (± 248) ops/sec` Post-change (no regression, -0.3%) `readrandom [AVG 60 runs] : 21486 (± 236) ops/sec` **Compaction/Flush**run till convergence ``` ./db_bench -db=/dev/shm/testdb2/ -seed=1678564177044286 -benchmarks="fillseq[-X60]" -key_size=32 -value_size=512 -num=50000 -write_buffer_size=655 -disable_auto_compactions=false -target_file_size_base=655 -compression_type=none rocksdb.sst.read.micros COUNT : 33820 rocksdb.sst.read.flush.micros COUNT : 1800 rocksdb.sst.read.compaction.micros COUNT : 32020 ``` Pre-change `fillseq [AVG 46 runs] : 1391 (± 214) ops/sec; 0.7 (± 0.1) MB/sec` Post-change (no regression, ~-0.4%) `fillseq [AVG 46 runs] : 1385 (± 216) ops/sec; 0.7 (± 0.1) MB/sec` Reviewed By: ajkr Differential Revision: D44007011 Pulled By: hx235 fbshipit-source-id: a54c89e4846dfc9a135389edf3f3eedfea257132
2023-04-21 16:07:18 +00:00
StopWatch timer(SystemClock::Default().get(), nullptr, 0,
Histograms::HISTOGRAM_ENUM_MAX, &elapsed);
for (auto& timing : timings) {
timing = elapsed;
}
HistogramImpl histogram;
uint64_t prev_timing = 0;
for (const auto timing : timings) {
histogram.Add(timing - prev_timing);
prev_timing = timing;
}
if (FLAGS_verbose) {
std::cout << histogram.ToString();
}
}
void ProfileQueries(bool enabled_time = false) {
ASSERT_OK(DestroyDB(kDbName, Options())); // Start this test with a fresh DB
auto db = OpenDb();
WriteOptions write_options;
ReadOptions read_options;
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
HistogramImpl hist_put;
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
HistogramImpl hist_get;
HistogramImpl hist_get_snapshot;
HistogramImpl hist_get_memtable;
HistogramImpl hist_get_files;
HistogramImpl hist_get_post_process;
HistogramImpl hist_num_memtable_checked;
HistogramImpl hist_mget;
HistogramImpl hist_mget_snapshot;
HistogramImpl hist_mget_memtable;
HistogramImpl hist_mget_files;
HistogramImpl hist_mget_post_process;
HistogramImpl hist_mget_num_memtable_checked;
HistogramImpl hist_write_pre_post;
HistogramImpl hist_write_wal_time;
HistogramImpl hist_write_memtable_time;
HistogramImpl hist_write_delay_time;
HistogramImpl hist_write_thread_wait_nanos;
HistogramImpl hist_write_scheduling_time;
uint64_t total_db_mutex_nanos = 0;
if (FLAGS_verbose) {
std::cout << "Inserting " << FLAGS_total_keys << " key/value pairs\n...\n";
}
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
std::vector<int> keys;
const int kFlushFlag = -1;
for (int i = 0; i < FLAGS_total_keys; ++i) {
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
keys.push_back(i);
if (i == FLAGS_total_keys / 2) {
// Issuing a flush in the middle.
keys.push_back(kFlushFlag);
}
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
}
if (FLAGS_random_key) {
RandomShuffle(std::begin(keys), std::end(keys));
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
}
#ifndef NDEBUG
ThreadStatusUtil::TEST_SetStateDelay(ThreadStatus::STATE_MUTEX_WAIT, 1U);
#endif
int num_mutex_waited = 0;
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
for (const int i : keys) {
if (i == kFlushFlag) {
FlushOptions fo;
ASSERT_OK(db->Flush(fo));
continue;
}
std::string key = "k" + std::to_string(i);
std::string value = "v" + std::to_string(i);
std::vector<std::string> values;
get_perf_context()->Reset();
ASSERT_OK(db->Put(write_options, key, value));
if (++num_mutex_waited > 3) {
#ifndef NDEBUG
ThreadStatusUtil::TEST_SetStateDelay(ThreadStatus::STATE_MUTEX_WAIT, 0U);
#endif
}
hist_write_pre_post.Add(
get_perf_context()->write_pre_and_post_process_time);
hist_write_wal_time.Add(get_perf_context()->write_wal_time);
hist_write_memtable_time.Add(get_perf_context()->write_memtable_time);
hist_write_delay_time.Add(get_perf_context()->write_delay_time);
hist_write_thread_wait_nanos.Add(
get_perf_context()->write_thread_wait_nanos);
hist_write_scheduling_time.Add(
get_perf_context()->write_scheduling_flushes_compactions_time);
hist_put.Add(get_perf_context()->user_key_comparison_count);
total_db_mutex_nanos += get_perf_context()->db_mutex_lock_nanos;
}
#ifndef NDEBUG
ThreadStatusUtil::TEST_SetStateDelay(ThreadStatus::STATE_MUTEX_WAIT, 0U);
#endif
for (const int i : keys) {
if (i == kFlushFlag) {
continue;
}
std::string key = "k" + std::to_string(i);
std::string expected_value = "v" + std::to_string(i);
std::string value;
std::vector<Slice> multiget_keys = {Slice(key)};
std::vector<std::string> values;
get_perf_context()->Reset();
ASSERT_OK(db->Get(read_options, key, &value));
ASSERT_EQ(expected_value, value);
hist_get_snapshot.Add(get_perf_context()->get_snapshot_time);
hist_get_memtable.Add(get_perf_context()->get_from_memtable_time);
hist_get_files.Add(get_perf_context()->get_from_output_files_time);
hist_num_memtable_checked.Add(get_perf_context()->get_from_memtable_count);
hist_get_post_process.Add(get_perf_context()->get_post_process_time);
hist_get.Add(get_perf_context()->user_key_comparison_count);
get_perf_context()->Reset();
auto statuses = db->MultiGet(read_options, multiget_keys, &values);
for (const auto& s : statuses) {
ASSERT_OK(s);
}
hist_mget_snapshot.Add(get_perf_context()->get_snapshot_time);
hist_mget_memtable.Add(get_perf_context()->get_from_memtable_time);
hist_mget_files.Add(get_perf_context()->get_from_output_files_time);
hist_mget_num_memtable_checked.Add(
get_perf_context()->get_from_memtable_count);
hist_mget_post_process.Add(get_perf_context()->get_post_process_time);
hist_mget.Add(get_perf_context()->user_key_comparison_count);
}
if (FLAGS_verbose) {
std::cout << "Put user key comparison: \n"
<< hist_put.ToString() << "Get user key comparison: \n"
<< hist_get.ToString() << "MultiGet user key comparison: \n"
<< hist_get.ToString();
std::cout << "Put(): Pre and Post Process Time: \n"
<< hist_write_pre_post.ToString() << " Writing WAL time: \n"
<< hist_write_wal_time.ToString() << "\n"
<< " Writing Mem Table time: \n"
<< hist_write_memtable_time.ToString() << "\n"
<< " Write Delay: \n"
<< hist_write_delay_time.ToString() << "\n"
<< " Waiting for Batch time: \n"
<< hist_write_thread_wait_nanos.ToString() << "\n"
<< " Scheduling Flushes and Compactions Time: \n"
<< hist_write_scheduling_time.ToString() << "\n"
<< " Total DB mutex nanos: \n"
<< total_db_mutex_nanos << "\n";
std::cout << "Get(): Time to get snapshot: \n"
<< hist_get_snapshot.ToString()
<< " Time to get value from memtables: \n"
<< hist_get_memtable.ToString() << "\n"
<< " Time to get value from output files: \n"
<< hist_get_files.ToString() << "\n"
<< " Number of memtables checked: \n"
<< hist_num_memtable_checked.ToString() << "\n"
<< " Time to post process: \n"
<< hist_get_post_process.ToString() << "\n";
std::cout << "MultiGet(): Time to get snapshot: \n"
<< hist_mget_snapshot.ToString()
<< " Time to get value from memtables: \n"
<< hist_mget_memtable.ToString() << "\n"
<< " Time to get value from output files: \n"
<< hist_mget_files.ToString() << "\n"
<< " Number of memtables checked: \n"
<< hist_mget_num_memtable_checked.ToString() << "\n"
<< " Time to post process: \n"
<< hist_mget_post_process.ToString() << "\n";
}
if (enabled_time) {
ASSERT_GT(hist_get.Average(), 0);
ASSERT_GT(hist_get_snapshot.Average(), 0);
ASSERT_GT(hist_get_memtable.Average(), 0);
ASSERT_GT(hist_get_files.Average(), 0);
ASSERT_GT(hist_get_post_process.Average(), 0);
ASSERT_GT(hist_num_memtable_checked.Average(), 0);
ASSERT_GT(hist_mget.Average(), 0);
ASSERT_GT(hist_mget_snapshot.Average(), 0);
ASSERT_GT(hist_mget_memtable.Average(), 0);
ASSERT_GT(hist_mget_files.Average(), 0);
ASSERT_GT(hist_mget_post_process.Average(), 0);
ASSERT_GT(hist_mget_num_memtable_checked.Average(), 0);
EXPECT_GT(hist_write_pre_post.Average(), 0);
EXPECT_GT(hist_write_wal_time.Average(), 0);
EXPECT_GT(hist_write_memtable_time.Average(), 0);
EXPECT_EQ(hist_write_delay_time.Average(), 0);
EXPECT_EQ(hist_write_thread_wait_nanos.Average(), 0);
EXPECT_GT(hist_write_scheduling_time.Average(), 0);
#ifndef NDEBUG
ASSERT_LT(total_db_mutex_nanos, 100U);
#endif
}
db.reset();
db = OpenDb(true);
hist_get.Clear();
hist_get_snapshot.Clear();
hist_get_memtable.Clear();
hist_get_files.Clear();
hist_get_post_process.Clear();
hist_num_memtable_checked.Clear();
hist_mget.Clear();
hist_mget_snapshot.Clear();
hist_mget_memtable.Clear();
hist_mget_files.Clear();
hist_mget_post_process.Clear();
hist_mget_num_memtable_checked.Clear();
for (const int i : keys) {
if (i == kFlushFlag) {
continue;
}
std::string key = "k" + std::to_string(i);
std::string expected_value = "v" + std::to_string(i);
std::string value;
std::vector<Slice> multiget_keys = {Slice(key)};
std::vector<std::string> values;
get_perf_context()->Reset();
ASSERT_OK(db->Get(read_options, key, &value));
ASSERT_EQ(expected_value, value);
hist_get_snapshot.Add(get_perf_context()->get_snapshot_time);
hist_get_memtable.Add(get_perf_context()->get_from_memtable_time);
hist_get_files.Add(get_perf_context()->get_from_output_files_time);
hist_num_memtable_checked.Add(get_perf_context()->get_from_memtable_count);
hist_get_post_process.Add(get_perf_context()->get_post_process_time);
hist_get.Add(get_perf_context()->user_key_comparison_count);
get_perf_context()->Reset();
auto statuses = db->MultiGet(read_options, multiget_keys, &values);
for (const auto& s : statuses) {
ASSERT_OK(s);
}
hist_mget_snapshot.Add(get_perf_context()->get_snapshot_time);
hist_mget_memtable.Add(get_perf_context()->get_from_memtable_time);
hist_mget_files.Add(get_perf_context()->get_from_output_files_time);
hist_mget_num_memtable_checked.Add(
get_perf_context()->get_from_memtable_count);
hist_mget_post_process.Add(get_perf_context()->get_post_process_time);
hist_mget.Add(get_perf_context()->user_key_comparison_count);
}
if (FLAGS_verbose) {
std::cout << "ReadOnly Get user key comparison: \n"
<< hist_get.ToString()
<< "ReadOnly MultiGet user key comparison: \n"
<< hist_mget.ToString();
std::cout << "ReadOnly Get(): Time to get snapshot: \n"
<< hist_get_snapshot.ToString()
<< " Time to get value from memtables: \n"
<< hist_get_memtable.ToString() << "\n"
<< " Time to get value from output files: \n"
<< hist_get_files.ToString() << "\n"
<< " Number of memtables checked: \n"
<< hist_num_memtable_checked.ToString() << "\n"
<< " Time to post process: \n"
<< hist_get_post_process.ToString() << "\n";
std::cout << "ReadOnly MultiGet(): Time to get snapshot: \n"
<< hist_mget_snapshot.ToString()
<< " Time to get value from memtables: \n"
<< hist_mget_memtable.ToString() << "\n"
<< " Time to get value from output files: \n"
<< hist_mget_files.ToString() << "\n"
<< " Number of memtables checked: \n"
<< hist_mget_num_memtable_checked.ToString() << "\n"
<< " Time to post process: \n"
<< hist_mget_post_process.ToString() << "\n";
}
if (enabled_time) {
ASSERT_GT(hist_get.Average(), 0);
ASSERT_GT(hist_get_memtable.Average(), 0);
ASSERT_GT(hist_get_files.Average(), 0);
ASSERT_GT(hist_num_memtable_checked.Average(), 0);
// In read-only mode Get(), no super version operation is needed
ASSERT_EQ(hist_get_post_process.Average(), 0);
ASSERT_GT(hist_get_snapshot.Average(), 0);
ASSERT_GT(hist_mget.Average(), 0);
ASSERT_GT(hist_mget_snapshot.Average(), 0);
ASSERT_GT(hist_mget_memtable.Average(), 0);
ASSERT_GT(hist_mget_files.Average(), 0);
ASSERT_GT(hist_mget_post_process.Average(), 0);
ASSERT_GT(hist_mget_num_memtable_checked.Average(), 0);
}
}
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
TEST_F(PerfContextTest, KeyComparisonCount) {
SetPerfLevel(kEnableCount);
ProfileQueries();
SetPerfLevel(kDisable);
ProfileQueries();
SetPerfLevel(kEnableTime);
ProfileQueries(true);
}
// make perf_context_test
// export ROCKSDB_TESTS=PerfContextTest.SeekKeyComparison
// For one memtable:
// ./perf_context_test --write_buffer_size=500000 --total_keys=10000
// For two memtables:
// ./perf_context_test --write_buffer_size=250000 --total_keys=10000
// Specify --random_key=1 to shuffle the key before insertion
// Results show that, for sequential insertion, worst-case Seek Key comparison
// is close to the total number of keys (linear), when there is only one
// memtable. When there are two memtables, even the avg Seek Key comparison
// starts to become linear to the input size.
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
TEST_F(PerfContextTest, SeekKeyComparison) {
ASSERT_OK(DestroyDB(kDbName, Options()));
auto db = OpenDb();
WriteOptions write_options;
ReadOptions read_options;
if (FLAGS_verbose) {
std::cout << "Inserting " << FLAGS_total_keys << " key/value pairs\n...\n";
}
std::vector<int> keys;
for (int i = 0; i < FLAGS_total_keys; ++i) {
keys.push_back(i);
}
if (FLAGS_random_key) {
RandomShuffle(std::begin(keys), std::end(keys));
}
HistogramImpl hist_put_time;
HistogramImpl hist_wal_time;
HistogramImpl hist_time_diff;
SetPerfLevel(kEnableTime);
StopWatchNano timer(SystemClock::Default().get());
for (const int i : keys) {
std::string key = "k" + std::to_string(i);
std::string value = "v" + std::to_string(i);
get_perf_context()->Reset();
timer.Start();
ASSERT_OK(db->Put(write_options, key, value));
auto put_time = timer.ElapsedNanos();
hist_put_time.Add(put_time);
hist_wal_time.Add(get_perf_context()->write_wal_time);
hist_time_diff.Add(put_time - get_perf_context()->write_wal_time);
}
if (FLAGS_verbose) {
std::cout << "Put time:\n"
<< hist_put_time.ToString() << "WAL time:\n"
<< hist_wal_time.ToString() << "time diff:\n"
<< hist_time_diff.ToString();
}
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
HistogramImpl hist_seek;
HistogramImpl hist_next;
for (int i = 0; i < FLAGS_total_keys; ++i) {
std::string key = "k" + std::to_string(i);
std::string value = "v" + std::to_string(i);
std::unique_ptr<Iterator> iter(db->NewIterator(read_options));
get_perf_context()->Reset();
iter->Seek(key);
ASSERT_TRUE(iter->Valid());
ASSERT_EQ(iter->value().ToString(), value);
hist_seek.Add(get_perf_context()->user_key_comparison_count);
}
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
std::unique_ptr<Iterator> iter(db->NewIterator(read_options));
for (iter->SeekToFirst(); iter->Valid();) {
get_perf_context()->Reset();
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
iter->Next();
hist_next.Add(get_perf_context()->user_key_comparison_count);
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
}
ASSERT_OK(iter->status());
if (FLAGS_verbose) {
std::cout << "Seek:\n"
<< hist_seek.ToString() << "Next:\n"
<< hist_next.ToString();
}
}
TEST_F(PerfContextTest, DBMutexLockCounter) {
int stats_code[] = {0, static_cast<int>(DB_MUTEX_WAIT_MICROS)};
for (PerfLevel perf_level_test :
{PerfLevel::kEnableTimeExceptForMutex, PerfLevel::kEnableTime}) {
for (int c = 0; c < 2; ++c) {
InstrumentedMutex mutex(nullptr, SystemClock::Default().get(),
stats_code[c]);
mutex.Lock();
ROCKSDB_NAMESPACE::port::Thread child_thread([&] {
SetPerfLevel(perf_level_test);
get_perf_context()->Reset();
ASSERT_EQ(get_perf_context()->db_mutex_lock_nanos, 0);
mutex.Lock();
mutex.Unlock();
if (perf_level_test == PerfLevel::kEnableTimeExceptForMutex ||
stats_code[c] != DB_MUTEX_WAIT_MICROS) {
ASSERT_EQ(get_perf_context()->db_mutex_lock_nanos, 0);
} else {
// increment the counter only when it's a DB Mutex
ASSERT_GT(get_perf_context()->db_mutex_lock_nanos, 0);
}
});
SystemClock::Default()->SleepForMicroseconds(100);
mutex.Unlock();
child_thread.join();
}
}
}
TEST_F(PerfContextTest, FalseDBMutexWait) {
SetPerfLevel(kEnableTime);
int stats_code[] = {0, static_cast<int>(DB_MUTEX_WAIT_MICROS)};
for (int c = 0; c < 2; ++c) {
InstrumentedMutex mutex(nullptr, SystemClock::Default().get(),
stats_code[c]);
InstrumentedCondVar lock(&mutex);
get_perf_context()->Reset();
mutex.Lock();
lock.TimedWait(100);
mutex.Unlock();
if (stats_code[c] == static_cast<int>(DB_MUTEX_WAIT_MICROS)) {
// increment the counter only when it's a DB Mutex
ASSERT_GT(get_perf_context()->db_condition_wait_nanos, 0);
} else {
ASSERT_EQ(get_perf_context()->db_condition_wait_nanos, 0);
}
}
}
TEST_F(PerfContextTest, ToString) {
get_perf_context()->Reset();
get_perf_context()->block_read_count = 12345;
std::string zero_included = get_perf_context()->ToString();
ASSERT_NE(std::string::npos, zero_included.find("= 0"));
ASSERT_NE(std::string::npos, zero_included.find("= 12345"));
std::string zero_excluded = get_perf_context()->ToString(true);
ASSERT_EQ(std::string::npos, zero_excluded.find("= 0"));
ASSERT_NE(std::string::npos, zero_excluded.find("= 12345"));
}
TEST_F(PerfContextTest, MergeOperatorTime) {
ASSERT_OK(DestroyDB(kDbName, Options()));
DB* db;
Options options;
options.create_if_missing = true;
options.merge_operator = MergeOperators::CreateStringAppendOperator();
Status s = DB::Open(options, kDbName, &db);
EXPECT_OK(s);
std::string val;
ASSERT_OK(db->Merge(WriteOptions(), "k1", "val1"));
ASSERT_OK(db->Merge(WriteOptions(), "k1", "val2"));
ASSERT_OK(db->Merge(WriteOptions(), "k1", "val3"));
ASSERT_OK(db->Merge(WriteOptions(), "k1", "val4"));
SetPerfLevel(kEnableTime);
get_perf_context()->Reset();
ASSERT_OK(db->Get(ReadOptions(), "k1", &val));
#ifdef OS_SOLARIS
for (int i = 0; i < 100; i++) {
ASSERT_OK(db->Get(ReadOptions(), "k1", &val));
}
#endif
EXPECT_GT(get_perf_context()->merge_operator_time_nanos, 0);
ASSERT_OK(db->Flush(FlushOptions()));
get_perf_context()->Reset();
ASSERT_OK(db->Get(ReadOptions(), "k1", &val));
#ifdef OS_SOLARIS
for (int i = 0; i < 100; i++) {
ASSERT_OK(db->Get(ReadOptions(), "k1", &val));
}
#endif
EXPECT_GT(get_perf_context()->merge_operator_time_nanos, 0);
ASSERT_OK(db->CompactRange(CompactRangeOptions(), nullptr, nullptr));
get_perf_context()->Reset();
ASSERT_OK(db->Get(ReadOptions(), "k1", &val));
#ifdef OS_SOLARIS
for (int i = 0; i < 100; i++) {
ASSERT_OK(db->Get(ReadOptions(), "k1", &val));
}
#endif
EXPECT_GT(get_perf_context()->merge_operator_time_nanos, 0);
delete db;
}
TEST_F(PerfContextTest, CopyAndMove) {
// Assignment operator
{
get_perf_context()->Reset();
get_perf_context()->EnablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 5);
ASSERT_EQ(
1,
(*(get_perf_context()->level_to_perf_context))[5].bloom_filter_useful);
PerfContext perf_context_assign;
perf_context_assign = *get_perf_context();
ASSERT_EQ(
1,
(*(perf_context_assign.level_to_perf_context))[5].bloom_filter_useful);
get_perf_context()->ClearPerLevelPerfContext();
get_perf_context()->Reset();
ASSERT_EQ(
1,
(*(perf_context_assign.level_to_perf_context))[5].bloom_filter_useful);
perf_context_assign.ClearPerLevelPerfContext();
perf_context_assign.Reset();
}
// Copy constructor
{
get_perf_context()->Reset();
get_perf_context()->EnablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 5);
ASSERT_EQ(
1,
(*(get_perf_context()->level_to_perf_context))[5].bloom_filter_useful);
PerfContext perf_context_copy(*get_perf_context());
ASSERT_EQ(
1, (*(perf_context_copy.level_to_perf_context))[5].bloom_filter_useful);
get_perf_context()->ClearPerLevelPerfContext();
get_perf_context()->Reset();
ASSERT_EQ(
1, (*(perf_context_copy.level_to_perf_context))[5].bloom_filter_useful);
perf_context_copy.ClearPerLevelPerfContext();
perf_context_copy.Reset();
}
// Move constructor
{
get_perf_context()->Reset();
get_perf_context()->EnablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 5);
ASSERT_EQ(
1,
(*(get_perf_context()->level_to_perf_context))[5].bloom_filter_useful);
PerfContext perf_context_move = std::move(*get_perf_context());
ASSERT_EQ(
1, (*(perf_context_move.level_to_perf_context))[5].bloom_filter_useful);
get_perf_context()->ClearPerLevelPerfContext();
get_perf_context()->Reset();
ASSERT_EQ(
1, (*(perf_context_move.level_to_perf_context))[5].bloom_filter_useful);
perf_context_move.ClearPerLevelPerfContext();
perf_context_move.Reset();
}
}
TEST_F(PerfContextTest, PerfContextDisableEnable) {
get_perf_context()->Reset();
get_perf_context()->EnablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_full_positive, 1, 0);
get_perf_context()->DisablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 5);
get_perf_context()->EnablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(block_cache_hit_count, 1, 0);
get_perf_context()->DisablePerLevelPerfContext();
PerfContext perf_context_copy(*get_perf_context());
ASSERT_EQ(1, (*(perf_context_copy.level_to_perf_context))[0]
.bloom_filter_full_positive);
// this was set when per level perf context is disabled, should not be copied
ASSERT_NE(
1, (*(perf_context_copy.level_to_perf_context))[5].bloom_filter_useful);
ASSERT_EQ(
1, (*(perf_context_copy.level_to_perf_context))[0].block_cache_hit_count);
perf_context_copy.ClearPerLevelPerfContext();
perf_context_copy.Reset();
get_perf_context()->ClearPerLevelPerfContext();
get_perf_context()->Reset();
}
TEST_F(PerfContextTest, PerfContextByLevelGetSet) {
get_perf_context()->Reset();
get_perf_context()->EnablePerLevelPerfContext();
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_full_positive, 1, 0);
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 5);
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 7);
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_useful, 1, 7);
PERF_COUNTER_BY_LEVEL_ADD(bloom_filter_full_true_positive, 1, 2);
PERF_COUNTER_BY_LEVEL_ADD(block_cache_hit_count, 1, 0);
PERF_COUNTER_BY_LEVEL_ADD(block_cache_hit_count, 5, 2);
PERF_COUNTER_BY_LEVEL_ADD(block_cache_miss_count, 2, 3);
PERF_COUNTER_BY_LEVEL_ADD(block_cache_miss_count, 4, 1);
ASSERT_EQ(
0, (*(get_perf_context()->level_to_perf_context))[0].bloom_filter_useful);
ASSERT_EQ(
1, (*(get_perf_context()->level_to_perf_context))[5].bloom_filter_useful);
ASSERT_EQ(
2, (*(get_perf_context()->level_to_perf_context))[7].bloom_filter_useful);
ASSERT_EQ(1, (*(get_perf_context()->level_to_perf_context))[0]
.bloom_filter_full_positive);
ASSERT_EQ(1, (*(get_perf_context()->level_to_perf_context))[2]
.bloom_filter_full_true_positive);
ASSERT_EQ(
1,
(*(get_perf_context()->level_to_perf_context))[0].block_cache_hit_count);
ASSERT_EQ(
5,
(*(get_perf_context()->level_to_perf_context))[2].block_cache_hit_count);
ASSERT_EQ(
2,
(*(get_perf_context()->level_to_perf_context))[3].block_cache_miss_count);
ASSERT_EQ(
4,
(*(get_perf_context()->level_to_perf_context))[1].block_cache_miss_count);
std::string zero_excluded = get_perf_context()->ToString(true);
ASSERT_NE(std::string::npos,
zero_excluded.find("bloom_filter_useful = 1@level5, 2@level7"));
ASSERT_NE(std::string::npos,
zero_excluded.find("bloom_filter_full_positive = 1@level0"));
ASSERT_NE(std::string::npos,
zero_excluded.find("bloom_filter_full_true_positive = 1@level2"));
ASSERT_NE(std::string::npos,
zero_excluded.find("block_cache_hit_count = 1@level0, 5@level2"));
ASSERT_NE(std::string::npos,
zero_excluded.find("block_cache_miss_count = 4@level1, 2@level3"));
}
TEST_F(PerfContextTest, CPUTimer) {
if (SystemClock::Default()->CPUNanos() == 0) {
ROCKSDB_GTEST_SKIP("Target without CPUNanos support");
Fix MSVC-related build issues (#7439) Summary: This PR addresses some build and functional issues on MSVC targets, as a step towards an eventual goal of having RocksDB build successfully for Windows on ARM64. Addressed issues include: - BitsSetToOne and CountTrailingZeroBits do not compile on non-x64 MSVC targets. A fallback implementation of BitsSetToOne when Intel intrinsics are not available is added, based on the C++20 `<bit>` popcount implementation in Microsoft's STL. - The implementation of FloorLog2 for MSVC targets (including x64) gives incorrect results. The unit test easily detects this, but CircleCI is currently configured to only run a specific set of tests for Windows CMake builds, so this seems to have been unnoticed. - AsmVolatilePause does not use YieldProcessor on Windows ARM64 targets, even though it is available. - When CondVar::TimedWait calls Microsoft STL's condition_variable::wait_for, it can potentially trigger a bug (just recently fixed in the upcoming VS 16.8's STL) that deadlocks various tests that wait for a timer to execute, since `Timer::Run` doesn't get a chance to execute before being blocked by the test function acquiring the mutex. - In c_test, `GetTempDir` assumes a POSIX-style temp path. - `NormalizePath` did not eliminate consecutive POSIX-style path separators on Windows, resulting in test failures in e.g., wal_manager_test. - Various other test failures. In a followup PR I hope to modify CircleCI's config.yml to invoke all RocksDB unit tests in Windows CMake builds with CTest, instead of the current use of `run_ci_db_test.ps1` which requires individual tests to be specified and is missing many of the existing tests. Notes from peterd: FloorLog2 is not yet used in production code (it's for something in progress). I also added a few more inexpensive platform-dependent tests to Windows CircleCI runs. And included facebook/folly#1461 as requested Pull Request resolved: https://github.com/facebook/rocksdb/pull/7439 Reviewed By: jay-zhuang Differential Revision: D24021563 Pulled By: pdillinger fbshipit-source-id: 0ec2027c0d6a494d8a0fe38d9667fc2f7e29f7e7
2020-10-01 16:21:30 +00:00
return;
}
ASSERT_OK(DestroyDB(kDbName, Options()));
auto db = OpenDb();
WriteOptions write_options;
ReadOptions read_options;
SetPerfLevel(PerfLevel::kEnableTimeAndCPUTimeExceptForMutex);
std::string max_str = "0";
for (int i = 0; i < FLAGS_total_keys; ++i) {
std::string i_str = std::to_string(i);
std::string key = "k" + i_str;
std::string value = "v" + i_str;
max_str = max_str > i_str ? max_str : i_str;
ASSERT_OK(db->Put(write_options, key, value));
}
std::string last_key = "k" + max_str;
std::string last_value = "v" + max_str;
{
// Get
get_perf_context()->Reset();
std::string value;
ASSERT_OK(db->Get(read_options, "k0", &value));
ASSERT_EQ(value, "v0");
if (FLAGS_verbose) {
std::cout << "Get CPU time nanos: " << get_perf_context()->get_cpu_nanos
<< "ns\n";
}
// Iter
std::unique_ptr<Iterator> iter(db->NewIterator(read_options));
// Seek
get_perf_context()->Reset();
iter->Seek(last_key);
ASSERT_TRUE(iter->Valid());
ASSERT_EQ(last_value, iter->value().ToString());
if (FLAGS_verbose) {
std::cout << "Iter Seek CPU time nanos: "
<< get_perf_context()->iter_seek_cpu_nanos << "ns\n";
}
// SeekForPrev
get_perf_context()->Reset();
iter->SeekForPrev(last_key);
ASSERT_TRUE(iter->Valid());
if (FLAGS_verbose) {
std::cout << "Iter SeekForPrev CPU time nanos: "
<< get_perf_context()->iter_seek_cpu_nanos << "ns\n";
}
// SeekToLast
get_perf_context()->Reset();
iter->SeekToLast();
ASSERT_TRUE(iter->Valid());
ASSERT_EQ(last_value, iter->value().ToString());
if (FLAGS_verbose) {
std::cout << "Iter SeekToLast CPU time nanos: "
<< get_perf_context()->iter_seek_cpu_nanos << "ns\n";
}
// SeekToFirst
get_perf_context()->Reset();
iter->SeekToFirst();
ASSERT_TRUE(iter->Valid());
ASSERT_EQ("v0", iter->value().ToString());
if (FLAGS_verbose) {
std::cout << "Iter SeekToFirst CPU time nanos: "
<< get_perf_context()->iter_seek_cpu_nanos << "ns\n";
}
// Next
get_perf_context()->Reset();
iter->Next();
ASSERT_TRUE(iter->Valid());
ASSERT_EQ("v1", iter->value().ToString());
if (FLAGS_verbose) {
std::cout << "Iter Next CPU time nanos: "
<< get_perf_context()->iter_next_cpu_nanos << "ns\n";
}
// Prev
get_perf_context()->Reset();
iter->Prev();
ASSERT_TRUE(iter->Valid());
ASSERT_EQ("v0", iter->value().ToString());
if (FLAGS_verbose) {
std::cout << "Iter Prev CPU time nanos: "
<< get_perf_context()->iter_prev_cpu_nanos << "ns\n";
}
// monotonically increasing
get_perf_context()->Reset();
uint64_t count = get_perf_context()->iter_seek_cpu_nanos;
uint64_t before_count = count;
for (int i = 0; i < FLAGS_total_keys; ++i) {
iter->Seek("k" + std::to_string(i));
ASSERT_TRUE(iter->Valid());
ASSERT_EQ("v" + std::to_string(i), iter->value().ToString());
auto next_count = get_perf_context()->iter_seek_cpu_nanos;
ASSERT_GE(next_count, count);
count = next_count;
}
ASSERT_GT(count, before_count);
// iterator creation/destruction; multiple iterators
{
std::unique_ptr<Iterator> iter2(db->NewIterator(read_options));
ASSERT_EQ(count, get_perf_context()->iter_seek_cpu_nanos);
iter2->Seek(last_key);
ASSERT_TRUE(iter2->Valid());
ASSERT_EQ(last_value, iter2->value().ToString());
ASSERT_GT(get_perf_context()->iter_seek_cpu_nanos, count);
count = get_perf_context()->iter_seek_cpu_nanos;
}
ASSERT_EQ(count, get_perf_context()->iter_seek_cpu_nanos);
}
}
TEST_F(PerfContextTest, MergeOperandCount) {
ASSERT_OK(DestroyDB(kDbName, Options()));
DB* db = nullptr;
Options options;
options.create_if_missing = true;
options.merge_operator = MergeOperators::CreateStringAppendOperator();
ASSERT_OK(DB::Open(options, kDbName, &db));
std::unique_ptr<DB> db_guard(db);
constexpr size_t num_keys = 3;
const std::string key_prefix("key");
const std::string value_prefix("value");
std::vector<std::string> keys;
keys.reserve(num_keys);
for (size_t i = 0; i < num_keys; ++i) {
keys.emplace_back(key_prefix + std::to_string(i));
}
// Write three keys with one Put each followed by 1, 2, and 3
// Merge operations respectively.
constexpr size_t total_merges = num_keys * (num_keys + 1) / 2;
std::vector<ManagedSnapshot> snapshots;
snapshots.reserve(total_merges);
for (size_t i = 0; i < num_keys; ++i) {
const std::string suffix = std::to_string(i);
const std::string value = value_prefix + suffix;
ASSERT_OK(db->Put(WriteOptions(), keys[i], value));
for (size_t j = 0; j <= i; ++j) {
// Take a snapshot before each Merge so they are preserved and not
// collapsed during flush.
snapshots.emplace_back(db);
ASSERT_OK(db->Merge(WriteOptions(), keys[i], value + std::to_string(j)));
}
}
auto verify = [&]() {
get_perf_context()->Reset();
for (size_t i = 0; i < num_keys; ++i) {
// Get
{
PinnableSlice result;
ASSERT_OK(db->Get(ReadOptions(), db->DefaultColumnFamily(), keys[i],
&result));
ASSERT_EQ(get_perf_context()->internal_merge_point_lookup_count, i + 1);
get_perf_context()->Reset();
}
// GetEntity
{
PinnableWideColumns result;
ASSERT_OK(db->GetEntity(ReadOptions(), db->DefaultColumnFamily(),
keys[i], &result));
ASSERT_EQ(get_perf_context()->internal_merge_point_lookup_count, i + 1);
get_perf_context()->Reset();
}
}
{
std::vector<Slice> key_slices;
key_slices.reserve(num_keys);
for (size_t i = 0; i < num_keys; ++i) {
key_slices.emplace_back(keys[i]);
}
// MultiGet
{
std::vector<PinnableSlice> results(num_keys);
std::vector<Status> statuses(num_keys);
db->MultiGet(ReadOptions(), db->DefaultColumnFamily(), num_keys,
key_slices.data(), results.data(), statuses.data());
for (size_t i = 0; i < num_keys; ++i) {
ASSERT_OK(statuses[i]);
}
ASSERT_EQ(get_perf_context()->internal_merge_point_lookup_count,
total_merges);
get_perf_context()->Reset();
}
// MultiGetEntity
{
std::vector<PinnableWideColumns> results(num_keys);
std::vector<Status> statuses(num_keys);
db->MultiGetEntity(ReadOptions(), db->DefaultColumnFamily(), num_keys,
key_slices.data(), results.data(), statuses.data());
for (size_t i = 0; i < num_keys; ++i) {
ASSERT_OK(statuses[i]);
}
ASSERT_EQ(get_perf_context()->internal_merge_point_lookup_count,
total_merges);
get_perf_context()->Reset();
}
}
std::unique_ptr<Iterator> it(db->NewIterator(ReadOptions()));
// Forward iteration
{
size_t i = 0;
for (it->SeekToFirst(); it->Valid(); it->Next(), ++i) {
ASSERT_EQ(it->key(), keys[i]);
ASSERT_EQ(get_perf_context()->internal_merge_count, i + 1);
get_perf_context()->Reset();
}
ASSERT_OK(it->status());
}
// Backward iteration
{
size_t i = num_keys - 1;
for (it->SeekToLast(); it->Valid(); it->Prev(), --i) {
ASSERT_EQ(it->key(), keys[i]);
ASSERT_EQ(get_perf_context()->internal_merge_count, i + 1);
get_perf_context()->Reset();
}
ASSERT_OK(it->status());
}
};
// Verify counters when reading from memtable
verify();
// Verify counters when reading from table files
ASSERT_OK(db->Flush(FlushOptions()));
verify();
}
TEST_F(PerfContextTest, WriteMemtableTimePerfLevel) {
// Write and check time
ASSERT_OK(DestroyDB(kDbName, Options()));
std::shared_ptr<DB> db = OpenDb();
SetPerfLevel(PerfLevel::kEnableWait);
PerfContext* perf_ctx = get_perf_context();
perf_ctx->Reset();
ASSERT_OK(db->Put(WriteOptions(), "foo1", "bar"));
ASSERT_GT(perf_context.write_memtable_time, 0);
SetPerfLevel(PerfLevel::kEnableCount);
perf_ctx->Reset();
ASSERT_OK(db->Put(WriteOptions(), "foo0", "bar"));
ASSERT_EQ(perf_context.write_memtable_time, 0);
}
} // namespace ROCKSDB_NAMESPACE
int main(int argc, char** argv) {
ROCKSDB_NAMESPACE::port::InstallStackTraceHandler();
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
::testing::InitGoogleTest(&argc, argv);
for (int i = 1; i < argc; i++) {
int n;
char junk;
if (sscanf(argv[i], "--write_buffer_size=%d%c", &n, &junk) == 1) {
FLAGS_write_buffer_size = n;
}
if (sscanf(argv[i], "--total_keys=%d%c", &n, &junk) == 1) {
FLAGS_total_keys = n;
}
if (sscanf(argv[i], "--random_key=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_random_key = n;
}
[RocbsDB] Add an option to enable set based memtable for perf_context_test Summary: as title. Some result: -- Sequential insertion of 1M key/value with stock skip list (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=0 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 8.0179 StdDev: 176.34 Min: 0.0000 Median: 2.5555 Max: 88933.0000 Percentiles: P50: 2.56 P75: 2.83 P99: 58.21 P99.9: 133.62 P99.99: 987.50 Get uesr key comparison: Count: 1000000 Average: 43.4465 StdDev: 379.03 Min: 2.0000 Median: 36.0195 Max: 88939.0000 Percentiles: P50: 36.02 P75: 43.66 P99: 112.98 P99.9: 824.84 P99.99: 7615.38 real 0m21.345s user 0m14.723s sys 0m5.677s -- Sequential insertion of 1M key/value with set based memtable (all in on memtable) time ./perf_context_test --total_keys=1000000 --use_set_based_memetable=1 Inserting 1000000 key/value pairs ... Put uesr key comparison: Count: 1000000 Average: 61.5022 StdDev: 6.49 Min: 0.0000 Median: 62.4295 Max: 71.0000 Percentiles: P50: 62.43 P75: 66.61 P99: 71.00 P99.9: 71.00 P99.99: 71.00 Get uesr key comparison: Count: 1000000 Average: 29.3810 StdDev: 3.20 Min: 1.0000 Median: 29.1801 Max: 34.0000 Percentiles: P50: 29.18 P75: 32.06 P99: 34.00 P99.9: 34.00 P99.99: 34.00 real 0m28.875s user 0m21.699s sys 0m5.749s Worst case comparison for a Put is 88933 (skiplist) vs 71 (set based memetable) Of course, there's other in-efficiency in set based memtable implementation, which lead to the overall worst performance. However, P99 behavior advantage is very very obvious. Test Plan: ./perf_context_test and viewstate shadow testing Reviewers: dhruba Reviewed By: dhruba CC: leveldb Differential Revision: https://reviews.facebook.net/D13095
2013-09-25 21:35:01 +00:00
if (sscanf(argv[i], "--use_set_based_memetable=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_use_set_based_memetable = n;
}
if (sscanf(argv[i], "--verbose=%d%c", &n, &junk) == 1 &&
(n == 0 || n == 1)) {
FLAGS_verbose = n;
}
}
if (FLAGS_verbose) {
std::cout << kDbName << "\n";
}
rocksdb: switch to gtest Summary: Our existing test notation is very similar to what is used in gtest. It makes it easy to adopt what is different. In this diff I modify existing [[ https://code.google.com/p/googletest/wiki/Primer#Test_Fixtures:_Using_the_Same_Data_Configuration_for_Multiple_Te | test fixture ]] classes to inherit from `testing::Test`. Also for unit tests that use fixture class, `TEST` is replaced with `TEST_F` as required in gtest. There are several custom `main` functions in our existing tests. To make this transition easier, I modify all `main` functions to fallow gtest notation. But eventually we can remove them and use implementation of `main` that gtest provides. ```lang=bash % cat ~/transform #!/bin/sh files=$(git ls-files '*test\.cc') for file in $files do if grep -q "rocksdb::test::RunAllTests()" $file then if grep -Eq '^class \w+Test {' $file then perl -pi -e 's/^(class \w+Test) {/${1}: public testing::Test {/g' $file perl -pi -e 's/^(TEST)/${1}_F/g' $file fi perl -pi -e 's/(int main.*\{)/${1}::testing::InitGoogleTest(&argc, argv);/g' $file perl -pi -e 's/rocksdb::test::RunAllTests/RUN_ALL_TESTS/g' $file fi done % sh ~/transform % make format ``` Second iteration of this diff contains only scripted changes. Third iteration contains manual changes to fix last errors and make it compilable. Test Plan: Build and notice no errors. ```lang=bash % USE_CLANG=1 make check -j55 ``` Tests are still testing. Reviewers: meyering, sdong, rven, igor Reviewed By: igor Subscribers: dhruba, leveldb Differential Revision: https://reviews.facebook.net/D35157
2015-03-17 21:08:00 +00:00
return RUN_ALL_TESTS();
}