Prompts for GPT
User
Next, I would like you to consider graceful shutdown. During the release, the running workers should be allowed to finish their tasks. Therefore, after close(p.taskQueue), you should continue to wait and finally release the memory that can be released.
DevChat
To implement a graceful shutdown, we can add a loop in the Release method to wait for all Workers to complete their tasks. This can be achieved by checking the length of workerStack. When the length of workerStack equals MaxWorkers, it indicates that all Workers have completed their tasks.
Here is the modified Release method:
func (p *GoPool) Release() {
close(p.taskQueue)
for len(p.workerStack) != p.MaxWorkers {
time.Sleep(time.Millisecond)
}
for _, worker := range p.Workers {
close(worker.TaskQueue)
}
p.Workers = nil
p.workerStack = nil
}In this implementation, the Release method first closes the taskQueue, then waits for all Workers to complete their tasks. After that, it closes the TaskQueue of all Workers and releases the memory of Workers and workerStack.
User
gopool.go
package gopoolimport "time"
type Task func()
type GoPool struct { Workers []*Worker MaxWorkers int workerStack []int taskQueue chan Task }
func NewGoPool(maxWorkers int) *GoPool { pool := &GoPool{ MaxWorkers: maxWorkers, Workers: make([]*Worker, maxWorkers), workerStack: make([]int, maxWorkers), taskQueue: make(chan Task, 1e6), } for i := 0; i < maxWorkers; i++ { worker := newWorker() pool.Workers[i] = worker pool.workerStack[i] = i worker.start(pool, i) } go pool.dispatch() return pool }
func (p *GoPool) AddTask(task Task) { p.taskQueue <- task }
func (p *GoPool) Release() { close(p.taskQueue) for len(p.workerStack) != p.MaxWorkers { time.Sleep(time.Millisecond) } for _, worker := range p.Workers { close(worker.TaskQueue) } p.Workers = nil p.workerStack = nil }
func (p *GoPool) popWorker() int { workerIndex := p.workerStack[len(p.workerStack)-1] p.workerStack = p.workerStack[:len(p.workerStack)-1] return workerIndex }
func (p *GoPool) pushWorker(workerIndex int) { p.workerStack = append(p.workerStack, workerIndex) }
func (p *GoPool) dispatch() { for task := range p.taskQueue { for len(p.workerStack) == 0 { time.Sleep(time.Millisecond) } workerIndex := p.popWorker() p.Workers[workerIndex].TaskQueue <- task } }
worker.go
package gopooltype Worker struct { TaskQueue chan Task }
func newWorker() *Worker { return &Worker{ TaskQueue: make(chan Task, 1), } }
func (w *Worker) start(pool *GoPool, workerIndex int) { go func() { for task := range w.TaskQueue { if task != nil { task() } pool.pushWorker(workerIndex) } }() }
The push and pop operations are not locked, which could cause problems during concurrency. I think a mutex should be added in GoPool. In addition, the sleep loop in dispatch() doesn't seem very elegant. Perhaps a condition variable could be added, which would cause it to wait when len(p.workerStack) == 0. At the same time, the Worker.start() method could wake up dispatch() by calling cond.Signal() after completing the push worker operation.
DevChat
Based on your feedback, I've made some modifications to the code. Here is the updated code:
In the gopool.go file:
package gopool
import (
"sync"
)
type Task func()
type GoPool struct {
Workers []*Worker
MaxWorkers int
workerStack []int
taskQueue chan Task
mutex sync.Mutex
cond *sync.Cond
}
func NewGoPool(maxWorkers int) *GoPool {
pool := &GoPool{
MaxWorkers: maxWorkers,
Workers: make([]*Worker, maxWorkers),
workerStack: make([]int, maxWorkers),
taskQueue: make(chan Task, 1e6),
}
pool.cond = sync.NewCond(&pool.mutex)
for i := 0; i < maxWorkers; i++ {
worker := newWorker()
pool.Workers[i] = worker
pool.workerStack[i] = i
worker.start(pool, i)
}
go pool.dispatch()
return pool
}
func (p *GoPool) AddTask(task Task) {
p.taskQueue <- task
}
func (p *GoPool) Release() {
close(p.taskQueue)
p.cond.L.Lock()
for len(p.workerStack) != p.MaxWorkers {
p.cond.Wait()
}
p.cond.L.Unlock()
for _, worker := range p.Workers {
close(worker.TaskQueue)
}
p.Workers = nil
p.workerStack = nil
}
func (p *GoPool) popWorker() int {
p.mutex.Lock()
workerIndex := p.workerStack[len(p.workerStack)-1]
p.workerStack = p.workerStack[:len(p.workerStack)-1]
p.mutex.Unlock()
return workerIndex
}
func (p *GoPool) pushWorker(workerIndex int) {
p.mutex.Lock()
p.workerStack = append(p.workerStack, workerIndex)
p.mutex.Unlock()
p.cond.Signal()
}
func (p *GoPool) dispatch() {
for task := range p.taskQueue {
p.cond.L.Lock()
for len(p.workerStack) == 0 {
p.cond.Wait()
}
p.cond.L.Unlock()
workerIndex := p.popWorker()
p.Workers[workerIndex].TaskQueue <- task
}
}In the worker.go file:
package gopool
type Worker struct {
TaskQueue chan Task
}
func newWorker() *Worker {
return &Worker{
TaskQueue: make(chan Task, 1),
}
}
func (w *Worker) start(pool *GoPool, workerIndex int) {
go func() {
for task := range w.TaskQueue {
if task != nil {
task()
}
pool.pushWorker(workerIndex)
}
}()
}In this implementation, a mutex and a condition variable have been added to the GoPool structure. The popWorker and pushWorker methods now use a mutex to protect access to workerStack. The pushWorker method uses cond.Signal() to wake up the dispatch method after adding a Worker to workerStack. The dispatch method now uses cond.Wait() to wait for a Worker to become available. The Release method now uses cond.Wait() to wait for all Workers to complete their tasks.