op-geth/les/servingqueue.go

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les, les/flowcontrol: improved request serving and flow control (#18230) This change - implements concurrent LES request serving even for a single peer. - replaces the request cost estimation method with a cost table based on benchmarks which gives much more consistent results. Until now the allowed number of light peers was just a guess which probably contributed a lot to the fluctuating quality of available service. Everything related to request cost is implemented in a single object, the 'cost tracker'. It uses a fixed cost table with a global 'correction factor'. Benchmark code is included and can be run at any time to adapt costs to low-level implementation changes. - reimplements flowcontrol.ClientManager in a cleaner and more efficient way, with added capabilities: There is now control over bandwidth, which allows using the flow control parameters for client prioritization. Target utilization over 100 percent is now supported to model concurrent request processing. Total serving bandwidth is reduced during block processing to prevent database contention. - implements an RPC API for the LES servers allowing server operators to assign priority bandwidth to certain clients and change prioritized status even while the client is connected. The new API is meant for cases where server operators charge for LES using an off-protocol mechanism. - adds a unit test for the new client manager. - adds an end-to-end test using the network simulator that tests bandwidth control functions through the new API.
2019-02-26 11:32:48 +00:00
// Copyright 2018 The go-ethereum Authors
// This file is part of the go-ethereum library.
//
// The go-ethereum library is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// The go-ethereum library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
package les
import (
"sync"
"github.com/ethereum/go-ethereum/common/mclock"
"github.com/ethereum/go-ethereum/common/prque"
)
// servingQueue allows running tasks in a limited number of threads and puts the
// waiting tasks in a priority queue
type servingQueue struct {
tokenCh chan runToken
queueAddCh, queueBestCh chan *servingTask
stopThreadCh, quit chan struct{}
setThreadsCh chan int
wg sync.WaitGroup
threadCount int // number of currently running threads
queue *prque.Prque // priority queue for waiting or suspended tasks
best *servingTask // the highest priority task (not included in the queue)
suspendBias int64 // priority bias against suspending an already running task
}
// servingTask represents a request serving task. Tasks can be implemented to
// run in multiple steps, allowing the serving queue to suspend execution between
// steps if higher priority tasks are entered. The creator of the task should
// set the following fields:
//
// - priority: greater value means higher priority; values can wrap around the int64 range
// - run: execute a single step; return true if finished
// - after: executed after run finishes or returns an error, receives the total serving time
type servingTask struct {
sq *servingQueue
servingTime uint64
priority int64
biasAdded bool
token runToken
tokenCh chan runToken
}
// runToken received by servingTask.start allows the task to run. Closing the
// channel by servingTask.stop signals the thread controller to allow a new task
// to start running.
type runToken chan struct{}
// start blocks until the task can start and returns true if it is allowed to run.
// Returning false means that the task should be cancelled.
func (t *servingTask) start() bool {
select {
case t.token = <-t.sq.tokenCh:
default:
t.tokenCh = make(chan runToken, 1)
select {
case t.sq.queueAddCh <- t:
case <-t.sq.quit:
return false
}
select {
case t.token = <-t.tokenCh:
case <-t.sq.quit:
return false
}
}
if t.token == nil {
return false
}
t.servingTime -= uint64(mclock.Now())
return true
}
// done signals the thread controller about the task being finished and returns
// the total serving time of the task in nanoseconds.
func (t *servingTask) done() uint64 {
t.servingTime += uint64(mclock.Now())
close(t.token)
return t.servingTime
}
// waitOrStop can be called during the execution of the task. It blocks if there
// is a higher priority task waiting (a bias is applied in favor of the currently
// running task). Returning true means that the execution can be resumed. False
// means the task should be cancelled.
func (t *servingTask) waitOrStop() bool {
t.done()
if !t.biasAdded {
t.priority += t.sq.suspendBias
t.biasAdded = true
}
return t.start()
}
// newServingQueue returns a new servingQueue
func newServingQueue(suspendBias int64) *servingQueue {
sq := &servingQueue{
queue: prque.New(nil),
suspendBias: suspendBias,
tokenCh: make(chan runToken),
queueAddCh: make(chan *servingTask, 100),
queueBestCh: make(chan *servingTask),
stopThreadCh: make(chan struct{}),
quit: make(chan struct{}),
setThreadsCh: make(chan int, 10),
}
sq.wg.Add(2)
go sq.queueLoop()
go sq.threadCountLoop()
return sq
}
// newTask creates a new task with the given priority
func (sq *servingQueue) newTask(priority int64) *servingTask {
return &servingTask{
sq: sq,
priority: priority,
}
}
// threadController is started in multiple goroutines and controls the execution
// of tasks. The number of active thread controllers equals the allowed number of
// concurrently running threads. It tries to fetch the highest priority queued
// task first. If there are no queued tasks waiting then it can directly catch
// run tokens from the token channel and allow the corresponding tasks to run
// without entering the priority queue.
func (sq *servingQueue) threadController() {
for {
token := make(runToken)
select {
case best := <-sq.queueBestCh:
best.tokenCh <- token
default:
select {
case best := <-sq.queueBestCh:
best.tokenCh <- token
case sq.tokenCh <- token:
case <-sq.stopThreadCh:
sq.wg.Done()
return
case <-sq.quit:
sq.wg.Done()
return
}
}
<-token
select {
case <-sq.stopThreadCh:
sq.wg.Done()
return
case <-sq.quit:
sq.wg.Done()
return
default:
}
}
}
// addTask inserts a task into the priority queue
func (sq *servingQueue) addTask(task *servingTask) {
if sq.best == nil {
sq.best = task
} else if task.priority > sq.best.priority {
sq.queue.Push(sq.best, sq.best.priority)
sq.best = task
return
} else {
sq.queue.Push(task, task.priority)
}
}
// queueLoop is an event loop running in a goroutine. It receives tasks from queueAddCh
// and always tries to send the highest priority task to queueBestCh. Successfully sent
// tasks are removed from the queue.
func (sq *servingQueue) queueLoop() {
for {
if sq.best != nil {
select {
case task := <-sq.queueAddCh:
sq.addTask(task)
case sq.queueBestCh <- sq.best:
if sq.queue.Size() == 0 {
sq.best = nil
} else {
sq.best, _ = sq.queue.PopItem().(*servingTask)
}
case <-sq.quit:
sq.wg.Done()
return
}
} else {
select {
case task := <-sq.queueAddCh:
sq.addTask(task)
case <-sq.quit:
sq.wg.Done()
return
}
}
}
}
// threadCountLoop is an event loop running in a goroutine. It adjusts the number
// of active thread controller goroutines.
func (sq *servingQueue) threadCountLoop() {
var threadCountTarget int
for {
for threadCountTarget > sq.threadCount {
sq.wg.Add(1)
go sq.threadController()
sq.threadCount++
}
if threadCountTarget < sq.threadCount {
select {
case threadCountTarget = <-sq.setThreadsCh:
case sq.stopThreadCh <- struct{}{}:
sq.threadCount--
case <-sq.quit:
sq.wg.Done()
return
}
} else {
select {
case threadCountTarget = <-sq.setThreadsCh:
case <-sq.quit:
sq.wg.Done()
return
}
}
}
}
// setThreads sets the allowed processing thread count, suspending tasks as soon as
// possible if necessary.
func (sq *servingQueue) setThreads(threadCount int) {
select {
case sq.setThreadsCh <- threadCount:
case <-sq.quit:
return
}
}
// stop stops task processing as soon as possible and shuts down the serving queue.
func (sq *servingQueue) stop() {
close(sq.quit)
sq.wg.Wait()
}