mxs-1777: maxutils additions

Adding classes for calculating averages. Update StopWatch to C++11.
This commit is contained in:
Niclas Antti
2018-07-26 09:47:41 +03:00
parent f3fbb297a4
commit cdea8aa7be
4 changed files with 191 additions and 7 deletions

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@ -0,0 +1,62 @@
/*
* Copyright (c) 2018 MariaDB Corporation Ab
*
* Use of this software is governed by the Business Source License included
* in the LICENSE.TXT file and at www.mariadb.com/bsl11.
*
* Change Date: 2022-01-01
*
* On the date above, in accordance with the Business Source License, use
* of this software will be governed by version 2 or later of the General
* Public License.
*/
#pragma once
#include <maxbase/ccdefs.hh>
#include <vector>
namespace maxbase
{
/** Regular average, but calculated cumulatively. */
class CumulativeAverage
{
public:
// add an average made of num_samples
void add(double ave, int num_samples = 1);
double average() const;
int num_samples() const;
void reset();
CumulativeAverage& operator+=(const CumulativeAverage& rhs);
CumulativeAverage operator+(const CumulativeAverage& rhs) const;
private:
double m_ave = 0;
int m_num_samples = 0;
int m_num_last_added = 0;
};
/** Exponential Moving Average. */
class EMAverage
{
public:
EMAverage(double min_alpha, double max_alpha, int sample_max);
/* add an average made of num_samples
* alpha = m_min_alpha + m_max_alpha * std::min(double(num_samples) / sample_max, 1.0);
* ave = alpha * ave + (1 - alpha) * sample; */
void add(double ave, int num_samples = 1);
void add(const CumulativeAverage& ca);
double average() const;
int num_samples() const;
void set_sample_max(int sample_max);
int sample_max() const;
void reset();
private:
const double m_min_alpha;
const double m_max_alpha;
int m_sample_max;
int m_num_samples = 0;
double m_ave = 0;
};
} // maxbase

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@ -20,18 +20,22 @@
namespace maxbase
{
#if __cplusplus >= 201103
typedef std::chrono::steady_clock Clock;
#else
typedef std::chrono::system_clock Clock;
#endif
using Clock = std::chrono::steady_clock;
struct Duration : public Clock::duration // for ADL
{
// gcc 4.4 does not inherit constructors, so this is a bit limited.
using Clock::duration::duration;
Duration() = default;
Duration(long long l) : Clock::duration(l) {}
Duration(Clock::duration d) : Clock::duration(d) {}
Duration(long long l) : Clock::duration(l) {} // FIXME. Get rid of this.
explicit Duration(double secs) : Duration{rep(secs * period::den / period::num)}
{}
double secs()
{
return std::chrono::duration<double>(*this).count();
}
};
typedef std::chrono::time_point<Clock, Duration> TimePoint;

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@ -11,6 +11,7 @@ add_library(maxbase STATIC
stacktrace.cc
worker.cc
workertask.cc
average.cc
)
set_target_properties(maxbase PROPERTIES VERSION "1.0.0" LINK_FLAGS -Wl,-z,defs)

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@ -0,0 +1,117 @@
/*
* Copyright (c) 2018 MariaDB Corporation Ab
*
* Use of this software is governed by the Business Source License included
* in the LICENSE.TXT file and at www.mariadb.com/bsl11.
*
* Change Date: 2022-01-01
*
* On the date above, in accordance with the Business Source License, use
* of this software will be governed by version 2 or later of the General
* Public License.
*/
#include <maxbase/average.hh>
#include <iostream>
namespace maxbase
{
void CumulativeAverage::add(double ave, int num_samples)
{
m_num_samples += num_samples;
if (m_num_samples == num_samples)
{
m_ave = ave;
}
else
{
m_ave = (m_ave * (m_num_samples - m_num_last_added)
+ ave * num_samples) / m_num_samples;
}
m_num_last_added = num_samples;
}
double CumulativeAverage::average() const
{
return m_ave;
}
int CumulativeAverage::num_samples() const
{
return m_num_samples;
}
CumulativeAverage &CumulativeAverage::operator+=(const CumulativeAverage &rhs)
{
this->add(rhs.m_ave, rhs.m_num_samples);
return *this;
}
CumulativeAverage CumulativeAverage::operator+(const CumulativeAverage &rhs) const
{
return CumulativeAverage(*this) += rhs;
}
void CumulativeAverage::reset()
{
m_ave = 0;
m_num_samples = 0;
m_num_last_added = 0;
}
EMAverage::EMAverage(double min_alpha, double max_alpha, int sample_max) :
m_min_alpha{min_alpha}, m_max_alpha{max_alpha}, m_sample_max{sample_max}
{
}
void EMAverage::add(double ave, int num_samples)
{
double alpha = m_min_alpha + m_max_alpha *
std::min(double(num_samples) / m_sample_max, 1.0);
m_num_samples += num_samples;
if (m_num_samples == num_samples)
{
m_ave = ave;
}
else
{
m_ave = alpha * ave + (1 - alpha) * m_ave;
}
}
void EMAverage::add(const CumulativeAverage &ca)
{
add(ca.average(), ca.num_samples());
}
double EMAverage::average() const
{
return m_ave;
}
int EMAverage::num_samples() const
{
return m_num_samples;
}
void EMAverage::set_sample_max(int sample_max)
{
m_sample_max = sample_max;
}
int EMAverage::sample_max() const
{
return m_sample_max;
}
void EMAverage::reset()
{
m_ave = 0;
m_num_samples = 0;
}
} // maxbase