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backlog_controller.hh
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backlog_controller.hh
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/*
* Copyright (C) 2017-present ScyllaDB
*/
/*
* SPDX-License-Identifier: AGPL-3.0-or-later
*/
#pragma once
#include <seastar/core/scheduling.hh>
#include <seastar/core/timer.hh>
#include <seastar/core/gate.hh>
#include <seastar/core/file.hh>
#include <chrono>
#include <cmath>
#include "seastarx.hh"
// Simple proportional controller to adjust shares for processes for which a backlog can be clearly
// defined.
//
// Goal is to consume the backlog as fast as we can, but not so fast that we steal all the CPU from
// incoming requests, and at the same time minimize user-visible fluctuations in the quota.
//
// What that translates to is we'll try to keep the backlog's firt derivative at 0 (IOW, we keep
// backlog constant). As the backlog grows we increase CPU usage, decreasing CPU usage as the
// backlog diminishes.
//
// The exact point at which the controller stops determines the desired CPU usage. As the backlog
// grows and approach a maximum desired, we need to be more aggressive. We will therefore define two
// thresholds, and increase the constant as we cross them.
//
// Doing that divides the range in three (before the first, between first and second, and after
// second threshold), and we'll be slow to grow in the first region, grow normally in the second
// region, and aggressively in the third region.
//
// The constants q1 and q2 are used to determine the proportional factor at each stage.
class backlog_controller {
public:
using scheduling_group = seastar::scheduling_group;
future<> shutdown() {
_update_timer.cancel();
return std::move(_inflight_update);
}
future<> update_static_shares(float static_shares) {
_static_shares = static_shares;
return make_ready_future<>();
}
protected:
struct control_point {
float input;
float output;
};
scheduling_group _scheduling_group;
std::vector<control_point> _control_points;
std::function<float()> _current_backlog;
timer<> _update_timer;
// updating shares for an I/O class may contact another shard and returns a future.
future<> _inflight_update;
// Used when the controllers are disabled and a static share is used
// When that option is deprecated we should remove this.
float _static_shares;
virtual void update_controller(float quota);
bool controller_disabled() const noexcept {
return _static_shares > 0;
}
void adjust();
backlog_controller(scheduling_group sg, std::chrono::milliseconds interval,
std::vector<control_point> control_points, std::function<float()> backlog,
float static_shares = 0)
: _scheduling_group(std::move(sg))
, _control_points()
, _current_backlog(std::move(backlog))
, _update_timer([this] { adjust(); })
, _inflight_update(make_ready_future<>())
, _static_shares(static_shares)
{
_control_points.insert(_control_points.end(), control_points.begin(), control_points.end());
_update_timer.arm_periodic(interval);
}
virtual ~backlog_controller() {}
public:
backlog_controller(backlog_controller&&) = default;
float backlog_of_shares(float shares) const;
};
// memtable flush CPU controller.
//
// - First threshold is the soft limit line,
// - Maximum is the point in which we'd stop consuming request,
// - Second threshold is halfway between them.
//
// Below the soft limit, we are in no particular hurry to flush, since it means we're set to
// complete flushing before we a new memtable is ready. The quota is dirty * q1, and q1 is set to a
// low number.
//
// The first half of the virtual dirty region is where we expect to be usually, so we have a low
// slope corresponding to a sluggish response between q1 * soft_limit and q2.
//
// In the second half, we're getting close to the hard dirty limit so we increase the slope and
// become more responsive, up to a maximum quota of qmax.
class flush_controller : public backlog_controller {
static constexpr float hard_dirty_limit = 1.0f;
public:
flush_controller(backlog_controller::scheduling_group sg, float static_shares, std::chrono::milliseconds interval, float soft_limit, std::function<float()> current_dirty)
: backlog_controller(std::move(sg), std::move(interval),
std::vector<backlog_controller::control_point>({{0.0, 0.0}, {soft_limit, 10}, {soft_limit + (hard_dirty_limit - soft_limit) / 2, 200} , {hard_dirty_limit, 1000}}),
std::move(current_dirty),
static_shares
)
{}
};
class compaction_controller : public backlog_controller {
public:
static constexpr unsigned normalization_factor = 30;
static constexpr float disable_backlog = std::numeric_limits<double>::infinity();
static constexpr float backlog_disabled(float backlog) { return std::isinf(backlog); }
compaction_controller(backlog_controller::scheduling_group sg, float static_shares, std::chrono::milliseconds interval, std::function<float()> current_backlog)
: backlog_controller(std::move(sg), std::move(interval),
std::vector<backlog_controller::control_point>({{0.0, 50}, {1.5, 100} , {normalization_factor, 1000}}),
std::move(current_backlog),
static_shares
)
{}
};