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// Copyright (c) 2011-present, Facebook, Inc. All rights reserved.
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// This source code is licensed under both the GPLv2 (found in the
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// COPYING file in the root directory) and Apache 2.0 License
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// (found in the LICENSE.Apache file in the root directory).
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//
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#include "monitoring/statistics.h"
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#ifndef __STDC_FORMAT_MACROS
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#define __STDC_FORMAT_MACROS
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#endif
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#include <inttypes.h>
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#include "rocksdb/statistics.h"
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#include "port/likely.h"
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#include <algorithm>
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#include <cstdio>
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namespace rocksdb {
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std::shared_ptr<Statistics> CreateDBStatistics() {
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return std::make_shared<StatisticsImpl>(nullptr, false);
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}
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StatisticsImpl::StatisticsImpl(std::shared_ptr<Statistics> stats,
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bool enable_internal_stats)
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: stats_(std::move(stats)), enable_internal_stats_(enable_internal_stats) {}
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StatisticsImpl::~StatisticsImpl() {}
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uint64_t StatisticsImpl::getTickerCount(uint32_t tickerType) const {
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MutexLock lock(&aggregate_lock_);
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return getTickerCountLocked(tickerType);
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}
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uint64_t StatisticsImpl::getTickerCountLocked(uint32_t tickerType) const {
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assert(
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enable_internal_stats_ ?
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tickerType < INTERNAL_TICKER_ENUM_MAX :
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tickerType < TICKER_ENUM_MAX);
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uint64_t res = 0;
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for (size_t core_idx = 0; core_idx < per_core_stats_.Size(); ++core_idx) {
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res += per_core_stats_.AccessAtCore(core_idx)->tickers_[tickerType];
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}
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return res;
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Thread-specific histogram statistics
Summary:
To reduce contention for atomics when HistogramStats are shared across
threads, this diff makes them thread-specific so updates are faster. This comes
at the expense of slower reads (much less frequent), which now require merging
all histograms. In this diff,
- Thread-specific HistogramImpl is created upon the thread's first measureTime()
- Thread-specific HistogramImpl are merged and deleted upon thread termination or ThreadLocalPtr destruction, whichever comes first
- getHistogramString() and histogramData() merge all histograms, both thread-specific and previously merged ones
Test Plan:
unit tests, ran db_bench and verified histograms look similar
before:
$ TEST_TMPDIR=/dev/shm/ perf record -g ./db_bench --benchmarks=readwhilewriting --statistics --num=1000000 --use_existing_db --threads=64 --cache_size=250000000 --compression_type=lz4
...
+ 7.63% db_bench db_bench [.] rocksdb::HistogramStat::Add
after:
$ TEST_TMPDIR=/dev/shm/ perf record -g ./db_bench --benchmarks=readwhilewriting --statistics --num=1000000 --use_existing_db --threads=64 --cache_size=250000000 --compression_type=lz4
...
+ 0.98% db_bench db_bench [.] rocksdb::HistogramStat::Add
Reviewers: sdong, MarkCallaghan, kradhakrishnan, IslamAbdelRahman
Reviewed By: IslamAbdelRahman
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D62649
8 years ago
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}
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void StatisticsImpl::histogramData(uint32_t histogramType,
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HistogramData* const data) const {
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MutexLock lock(&aggregate_lock_);
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getHistogramImplLocked(histogramType)->Data(data);
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}
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std::unique_ptr<HistogramImpl> StatisticsImpl::getHistogramImplLocked(
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uint32_t histogramType) const {
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assert(
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enable_internal_stats_ ?
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histogramType < INTERNAL_HISTOGRAM_ENUM_MAX :
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histogramType < HISTOGRAM_ENUM_MAX);
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std::unique_ptr<HistogramImpl> res_hist(new HistogramImpl());
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for (size_t core_idx = 0; core_idx < per_core_stats_.Size(); ++core_idx) {
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res_hist->Merge(
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per_core_stats_.AccessAtCore(core_idx)->histograms_[histogramType]);
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}
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return res_hist;
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}
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Add Statistics.getHistogramString() to print more detailed outputs of a histogram
Summary:
Provide a way for users to know more detailed ditribution of a histogram metrics. Example outputs:
Manually add statement
fprintf(stdout, "%s\n", dbstats->getHistogramString(SST_READ_MICROS).c_str());
Will print out something like:
Count: 989151 Average: 1.7659 StdDev: 1.52
Min: 0.0000 Median: 1.2071 Max: 860.0000
Percentiles: P50: 1.21 P75: 1.70 P99: 5.12 P99.9: 13.67 P99.99: 21.70
------------------------------------------------------
[ 0, 1 ) 390839 39.513% 39.513% ########
[ 1, 2 ) 500918 50.641% 90.154% ##########
[ 2, 3 ) 79358 8.023% 98.177% ##
[ 3, 4 ) 6297 0.637% 98.813%
[ 4, 5 ) 1712 0.173% 98.986%
[ 5, 6 ) 1134 0.115% 99.101%
[ 6, 7 ) 1222 0.124% 99.224%
[ 7, 8 ) 1529 0.155% 99.379%
[ 8, 9 ) 1264 0.128% 99.507%
[ 9, 10 ) 988 0.100% 99.607%
[ 10, 12 ) 1378 0.139% 99.746%
[ 12, 14 ) 1828 0.185% 99.931%
[ 14, 16 ) 410 0.041% 99.972%
[ 16, 18 ) 72 0.007% 99.980%
[ 18, 20 ) 67 0.007% 99.986%
[ 20, 25 ) 106 0.011% 99.997%
[ 25, 30 ) 24 0.002% 99.999%
[ 30, 35 ) 1 0.000% 100.000%
[ 250, 300 ) 2 0.000% 100.000%
[ 300, 350 ) 1 0.000% 100.000%
[ 800, 900 ) 1 0.000% 100.000%
Test Plan: Manually add a print in db_bench and make sure it prints out as expected. Will add some codes to cover the function
Subscribers: leveldb, dhruba
Differential Revision: https://reviews.facebook.net/D43611
10 years ago
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std::string StatisticsImpl::getHistogramString(uint32_t histogramType) const {
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MutexLock lock(&aggregate_lock_);
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return getHistogramImplLocked(histogramType)->ToString();
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Thread-specific histogram statistics
Summary:
To reduce contention for atomics when HistogramStats are shared across
threads, this diff makes them thread-specific so updates are faster. This comes
at the expense of slower reads (much less frequent), which now require merging
all histograms. In this diff,
- Thread-specific HistogramImpl is created upon the thread's first measureTime()
- Thread-specific HistogramImpl are merged and deleted upon thread termination or ThreadLocalPtr destruction, whichever comes first
- getHistogramString() and histogramData() merge all histograms, both thread-specific and previously merged ones
Test Plan:
unit tests, ran db_bench and verified histograms look similar
before:
$ TEST_TMPDIR=/dev/shm/ perf record -g ./db_bench --benchmarks=readwhilewriting --statistics --num=1000000 --use_existing_db --threads=64 --cache_size=250000000 --compression_type=lz4
...
+ 7.63% db_bench db_bench [.] rocksdb::HistogramStat::Add
after:
$ TEST_TMPDIR=/dev/shm/ perf record -g ./db_bench --benchmarks=readwhilewriting --statistics --num=1000000 --use_existing_db --threads=64 --cache_size=250000000 --compression_type=lz4
...
+ 0.98% db_bench db_bench [.] rocksdb::HistogramStat::Add
Reviewers: sdong, MarkCallaghan, kradhakrishnan, IslamAbdelRahman
Reviewed By: IslamAbdelRahman
Subscribers: andrewkr, dhruba, leveldb
Differential Revision: https://reviews.facebook.net/D62649
8 years ago
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}
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void StatisticsImpl::setTickerCount(uint32_t tickerType, uint64_t count) {
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{
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MutexLock lock(&aggregate_lock_);
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setTickerCountLocked(tickerType, count);
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}
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if (stats_ && tickerType < TICKER_ENUM_MAX) {
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stats_->setTickerCount(tickerType, count);
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}
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}
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void StatisticsImpl::setTickerCountLocked(uint32_t tickerType, uint64_t count) {
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assert(enable_internal_stats_ ? tickerType < INTERNAL_TICKER_ENUM_MAX
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: tickerType < TICKER_ENUM_MAX);
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for (size_t core_idx = 0; core_idx < per_core_stats_.Size(); ++core_idx) {
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if (core_idx == 0) {
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per_core_stats_.AccessAtCore(core_idx)->tickers_[tickerType] = count;
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} else {
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per_core_stats_.AccessAtCore(core_idx)->tickers_[tickerType] = 0;
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}
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}
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}
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uint64_t StatisticsImpl::getAndResetTickerCount(uint32_t tickerType) {
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uint64_t sum = 0;
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{
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MutexLock lock(&aggregate_lock_);
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assert(enable_internal_stats_ ? tickerType < INTERNAL_TICKER_ENUM_MAX
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: tickerType < TICKER_ENUM_MAX);
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for (size_t core_idx = 0; core_idx < per_core_stats_.Size(); ++core_idx) {
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sum +=
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per_core_stats_.AccessAtCore(core_idx)->tickers_[tickerType].exchange(
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0, std::memory_order_relaxed);
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}
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}
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if (stats_ && tickerType < TICKER_ENUM_MAX) {
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stats_->setTickerCount(tickerType, 0);
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}
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return sum;
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}
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void StatisticsImpl::recordTick(uint32_t tickerType, uint64_t count) {
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assert(
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enable_internal_stats_ ?
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tickerType < INTERNAL_TICKER_ENUM_MAX :
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tickerType < TICKER_ENUM_MAX);
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per_core_stats_.Access()->tickers_[tickerType].fetch_add(
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count, std::memory_order_relaxed);
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if (stats_ && tickerType < TICKER_ENUM_MAX) {
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stats_->recordTick(tickerType, count);
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}
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}
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void StatisticsImpl::measureTime(uint32_t histogramType, uint64_t value) {
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assert(
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enable_internal_stats_ ?
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histogramType < INTERNAL_HISTOGRAM_ENUM_MAX :
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histogramType < HISTOGRAM_ENUM_MAX);
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per_core_stats_.Access()->histograms_[histogramType].Add(value);
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if (stats_ && histogramType < HISTOGRAM_ENUM_MAX) {
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stats_->measureTime(histogramType, value);
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}
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}
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Status StatisticsImpl::Reset() {
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MutexLock lock(&aggregate_lock_);
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for (uint32_t i = 0; i < TICKER_ENUM_MAX; ++i) {
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setTickerCountLocked(i, 0);
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}
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for (uint32_t i = 0; i < HISTOGRAM_ENUM_MAX; ++i) {
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for (size_t core_idx = 0; core_idx < per_core_stats_.Size(); ++core_idx) {
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per_core_stats_.AccessAtCore(core_idx)->histograms_[i].Clear();
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}
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}
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return Status::OK();
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}
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namespace {
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// a buffer size used for temp string buffers
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const int kTmpStrBufferSize = 200;
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} // namespace
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std::string StatisticsImpl::ToString() const {
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MutexLock lock(&aggregate_lock_);
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std::string res;
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res.reserve(20000);
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for (const auto& t : TickersNameMap) {
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if (t.first < TICKER_ENUM_MAX || enable_internal_stats_) {
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char buffer[kTmpStrBufferSize];
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snprintf(buffer, kTmpStrBufferSize, "%s COUNT : %" PRIu64 "\n",
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t.second.c_str(), getTickerCountLocked(t.first));
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res.append(buffer);
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}
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}
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for (const auto& h : HistogramsNameMap) {
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if (h.first < HISTOGRAM_ENUM_MAX || enable_internal_stats_) {
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char buffer[kTmpStrBufferSize];
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HistogramData hData;
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getHistogramImplLocked(h.first)->Data(&hData);
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snprintf(
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buffer, kTmpStrBufferSize,
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"%s statistics Percentiles :=> 50 : %f 95 : %f 99 : %f 100 : %f\n",
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h.second.c_str(), hData.median, hData.percentile95,
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hData.percentile99, hData.max);
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res.append(buffer);
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}
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}
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res.shrink_to_fit();
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return res;
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}
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bool StatisticsImpl::HistEnabledForType(uint32_t type) const {
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if (LIKELY(!enable_internal_stats_)) {
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return type < HISTOGRAM_ENUM_MAX;
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}
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return true;
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}
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} // namespace rocksdb
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