foundationdb/flow/MetricSample.h

174 lines
4.7 KiB
C++

/*
* MetricSample.h
*
* This source file is part of the FoundationDB open source project
*
* Copyright 2013-2018 Apple Inc. and the FoundationDB project authors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef METRIC_SAMPLE_H
#define METRIC_SAMPLE_H
#pragma once
#include <tuple>
template <class T>
struct MetricSample {
IndexedSet<T, int64_t> sample;
int64_t metricUnitsPerSample = 0;
explicit MetricSample(int64_t metricUnitsPerSample) : metricUnitsPerSample(metricUnitsPerSample) {}
int64_t getMetric(const T& Key) {
auto i = sample.find(Key);
if (i == sample.end())
return 0;
else
return sample.getMetric(i);
}
};
template <class T>
struct TransientMetricSample : MetricSample<T> {
Deque< std::tuple<double, T, int64_t> > queue;
explicit TransientMetricSample(int64_t metricUnitsPerSample) : MetricSample<T>(metricUnitsPerSample) { }
bool roll(int64_t metric) {
return nondeterministicRandom()->random01() < (double)metric / this->metricUnitsPerSample; //< SOMEDAY: Better randomInt64?
}
// Returns the sampled metric value (possibly 0, possibly increased by the sampling factor)
int64_t addAndExpire(const T& key, int64_t metric, double expiration) {
int64_t x = add(key, metric);
if (x)
queue.push_back(std::make_tuple(expiration, *this->sample.find(key), -x));
return x;
}
void poll() {
double now = ::now();
while (queue.size() &&
std::get<0>(queue.front()) <= now)
{
const T& key = std::get<1>(queue.front());
int64_t delta = std::get<2>(queue.front());
ASSERT(delta != 0);
if (this->sample.addMetric(T(key), delta) == 0)
this->sample.erase(key);
queue.pop_front();
}
}
private:
int64_t add(const T& key, int64_t metric) {
if (!metric) return 0;
int64_t mag = std::abs(metric);
if (mag < this->metricUnitsPerSample) {
if (!roll(mag))
return 0;
metric = metric<0 ? -this->metricUnitsPerSample : this->metricUnitsPerSample;
}
if (this->sample.addMetric(T(key), metric) == 0)
this->sample.erase(key);
return metric;
}
};
template <class T>
struct TransientThresholdMetricSample : MetricSample<T> {
Deque< std::tuple<double, T, int64_t> > queue;
IndexedSet<T, int64_t> thresholdCrossedSet;
int64_t thresholdLimit;
TransientThresholdMetricSample(int64_t metricUnitsPerSample, int64_t threshold) : MetricSample<T>(metricUnitsPerSample), thresholdLimit(threshold) { }
bool roll(int64_t metric) {
return nondeterministicRandom()->random01() < (double)metric / this->metricUnitsPerSample; //< SOMEDAY: Better randomInt64?
}
template <class U>
bool isAboveThreshold(const U& key) {
auto i = thresholdCrossedSet.find(key);
if (i == thresholdCrossedSet.end())
return false;
else
return true;
}
// Returns the sampled metric value (possibly 0, possibly increased by the sampling factor)
template <class T_>
int64_t addAndExpire(T_&& key, int64_t metric, double expiration) {
int64_t x = add(std::forward<T_>(key), metric);
if (x)
queue.push_back(std::make_tuple(expiration, *this->sample.find(key), -x));
return x;
}
void poll() {
double now = ::now();
while (queue.size() &&
std::get<0>(queue.front()) <= now)
{
const T& key = std::get<1>(queue.front());
int64_t delta = std::get<2>(queue.front());
ASSERT(delta != 0);
int64_t val = this->sample.addMetric(T(key), delta);
if (val < thresholdLimit && (val + std::abs(delta)) >= thresholdLimit) {
auto iter = thresholdCrossedSet.find(key);
ASSERT(iter != thresholdCrossedSet.end())
thresholdCrossedSet.erase(iter);
}
if (val == 0)
this->sample.erase(key);
queue.pop_front();
}
}
private:
template <class T_>
int64_t add(T_&& key, int64_t metric) {
if (!metric) return 0;
int64_t mag = std::abs(metric);
if (mag < this->metricUnitsPerSample) {
if (!roll(mag))
return 0;
metric = metric<0 ? -this->metricUnitsPerSample : this->metricUnitsPerSample;
}
int64_t val = this->sample.addMetric(T(key), metric);
if (val >= thresholdLimit) {
ASSERT((val - metric) < thresholdLimit ? thresholdCrossedSet.find(key) == thresholdCrossedSet.end() : thresholdCrossedSet.find(key) != thresholdCrossedSet.end());
thresholdCrossedSet.insert(key, val);
}
if (val == 0)
this->sample.erase(key);
return metric;
}
};
#endif