// Copyright (c) 2011-present, Facebook, Inc. All rights reserved. // This source code is licensed under the BSD-style license found in the // LICENSE file in the root directory of this source tree. An additional grant // of patent rights can be found in the PATENTS file in the same directory. // #include "util/statistics.h" #ifndef __STDC_FORMAT_MACROS #define __STDC_FORMAT_MACROS #endif #include #include "rocksdb/statistics.h" #include "port/likely.h" #include #include namespace rocksdb { std::shared_ptr CreateDBStatistics() { return std::make_shared(nullptr, false); } StatisticsImpl::StatisticsImpl( std::shared_ptr stats, bool enable_internal_stats) : stats_shared_(stats), stats_(stats.get()), enable_internal_stats_(enable_internal_stats) { } StatisticsImpl::~StatisticsImpl() {} uint64_t StatisticsImpl::getTickerCount(uint32_t tickerType) const { MutexLock lock(&aggregate_lock_); assert( enable_internal_stats_ ? tickerType < INTERNAL_TICKER_ENUM_MAX : tickerType < TICKER_ENUM_MAX); uint64_t thread_local_sum = 0; tickers_[tickerType].thread_value->Fold( [](void* curr_ptr, void* res) { auto* sum_ptr = static_cast(res); *sum_ptr += static_cast(curr_ptr)->load(); }, &thread_local_sum); return thread_local_sum + tickers_[tickerType].merged_sum.load(); } void StatisticsImpl::histogramData(uint32_t histogramType, HistogramData* const data) const { assert( enable_internal_stats_ ? histogramType < INTERNAL_HISTOGRAM_ENUM_MAX : histogramType < HISTOGRAM_ENUM_MAX); // Return its own ticker version histograms_[histogramType].Data(data); } std::string StatisticsImpl::getHistogramString(uint32_t histogramType) const { assert(enable_internal_stats_ ? histogramType < INTERNAL_HISTOGRAM_ENUM_MAX : histogramType < HISTOGRAM_ENUM_MAX); return histograms_[histogramType].ToString(); } StatisticsImpl::ThreadTickerInfo* StatisticsImpl::getThreadTickerInfo( uint32_t tickerType) { auto info_ptr = static_cast(tickers_[tickerType].thread_value->Get()); if (info_ptr == nullptr) { info_ptr = new ThreadTickerInfo(0 /* value */, &tickers_[tickerType].merged_sum); tickers_[tickerType].thread_value->Reset(info_ptr); } return info_ptr; } void StatisticsImpl::setTickerCount(uint32_t tickerType, uint64_t count) { { MutexLock lock(&aggregate_lock_); assert(enable_internal_stats_ ? tickerType < INTERNAL_TICKER_ENUM_MAX : tickerType < TICKER_ENUM_MAX); if (tickerType < TICKER_ENUM_MAX || enable_internal_stats_) { tickers_[tickerType].thread_value->Fold( [](void* curr_ptr, void* res) { static_cast*>(curr_ptr)->store(0); }, nullptr /* res */); tickers_[tickerType].merged_sum.store(count); } } if (stats_ && tickerType < TICKER_ENUM_MAX) { stats_->setTickerCount(tickerType, count); } } void StatisticsImpl::recordTick(uint32_t tickerType, uint64_t count) { assert( enable_internal_stats_ ? tickerType < INTERNAL_TICKER_ENUM_MAX : tickerType < TICKER_ENUM_MAX); if (tickerType < TICKER_ENUM_MAX || enable_internal_stats_) { auto info_ptr = getThreadTickerInfo(tickerType); info_ptr->value.fetch_add(count); } if (stats_ && tickerType < TICKER_ENUM_MAX) { stats_->recordTick(tickerType, count); } } void StatisticsImpl::measureTime(uint32_t histogramType, uint64_t value) { assert( enable_internal_stats_ ? histogramType < INTERNAL_HISTOGRAM_ENUM_MAX : histogramType < HISTOGRAM_ENUM_MAX); if (histogramType < HISTOGRAM_ENUM_MAX || enable_internal_stats_) { histograms_[histogramType].Add(value); } if (stats_ && histogramType < HISTOGRAM_ENUM_MAX) { stats_->measureTime(histogramType, value); } } namespace { // a buffer size used for temp string buffers const int kBufferSize = 200; } // namespace std::string StatisticsImpl::ToString() const { std::string res; res.reserve(20000); for (const auto& t : TickersNameMap) { if (t.first < TICKER_ENUM_MAX || enable_internal_stats_) { char buffer[kBufferSize]; snprintf(buffer, kBufferSize, "%s COUNT : %" PRIu64 "\n", t.second.c_str(), getTickerCount(t.first)); res.append(buffer); } } for (const auto& h : HistogramsNameMap) { if (h.first < HISTOGRAM_ENUM_MAX || enable_internal_stats_) { char buffer[kBufferSize]; HistogramData hData; histogramData(h.first, &hData); snprintf( buffer, kBufferSize, "%s statistics Percentiles :=> 50 : %f 95 : %f 99 : %f\n", h.second.c_str(), hData.median, hData.percentile95, hData.percentile99); res.append(buffer); } } res.shrink_to_fit(); return res; } bool StatisticsImpl::HistEnabledForType(uint32_t type) const { if (LIKELY(!enable_internal_stats_)) { return type < HISTOGRAM_ENUM_MAX; } return true; } } // namespace rocksdb