Goroutine 的并发与超时控制
并发
package main
import (
"fmt"
"time"
)
func run(task_id, sleeptime int, ch chan string) {
time.Sleep(time.Duration(sleeptime) * time.Second)
ch <- fmt.Sprintf("task id %d , sleep %d second", task_id, sleeptime)
return
}
func main() {
input := []int{3, 2, 1}
ch := make(chan string)
startTime := time.Now()
fmt.Println("Multirun start")
for i, sleeptime := range input {
go run(i, sleeptime, ch)
}
for range input {
fmt.Println(<-ch)
}
endTime := time.Now()
fmt.Printf("Multissh finished. Process time %s. Number of tasks is %d", endTime.Sub(startTime), len(input))
}
Multirun start
task id 2 , sleep 1 second
task id 1 , sleep 2 second
task id 0 , sleep 3 second
Multissh finished. Process time 3s. Number of tasks is 3
Program exited.
按序返回
package main
import (
"fmt"
"time"
)
func run(task_id, sleeptime int, ch chan string) {
time.Sleep(time.Duration(sleeptime) * time.Second)
ch <- fmt.Sprintf("task id %d , sleep %d second", task_id, sleeptime)
return
}
func main() {
input := []int{3, 2, 1}
chs := make([]chan string, len(input))
startTime := time.Now()
fmt.Println("Multirun start")
for i, sleeptime := range input {
chs[i] = make(chan string)
go run(i, sleeptime, chs[i])
}
for _, ch := range chs {
fmt.Println(<-ch)
}
endTime := time.Now()
fmt.Printf("Multissh finished. Process time %s. Number of tasks is %d", endTime.Sub(startTime), len(input))
}
Multirun start
task id 0 , sleep 3 second
task id 1 , sleep 2 second
task id 2 , sleep 1 second
Multissh finished. Process time 3s. Number of tasks is 3
Program exited.
上述代码,实现按序返回的思路在于,使用了多个 channel 发送数据,那么在接收时便可以通过指定接收 channel 的顺序来实现按序返回。
超时控制
上面并发代码,是没有超时控制的,如果某一个 goroutine 由于意外退出,则会导致接收方一直阻塞,从而挂起主程序。
通常我们可以通过 select
+ time.After
来进行超时检查,例如这样,我们增加一个函数 Run()
,在 Run()
中执行 go run()
。并通过 select
+ time.After
进行超时判断。
package main
import (
"fmt"
"time"
)
func Run(task_id, sleeptime, timeout int, ch chan string) {
ch_run := make(chan string)
go run(task_id, sleeptime, ch_run)
select {
case re := <-ch_run:
ch <- re
case <-time.After(time.Duration(timeout) * time.Second):
re := fmt.Sprintf("task id %d , timeout", task_id)
ch <- re
}
}
func run(task_id, sleeptime int, ch chan string) {
time.Sleep(time.Duration(sleeptime) * time.Second)
ch <- fmt.Sprintf("task id %d , sleep %d second", task_id, sleeptime)
return
}
func main() {
input := []int{3, 2, 1}
timeout := 2
chs := make([]chan string, len(input))
startTime := time.Now()
fmt.Println("Multirun start")
for i, sleeptime := range input {
chs[i] = make(chan string)
go Run(i, sleeptime, timeout, chs[i])
}
for _, ch := range chs {
fmt.Println(<-ch)
}
endTime := time.Now()
fmt.Printf("Multissh finished. Process time %s. Number of task is %d", endTime.Sub(startTime), len(input))
}
并发限制
-
buffered channel:缓冲区已满,发送方阻塞;缓冲区为空,接收方阻塞。
-
unbuffered channel:发送方、接收方没有同时准备好,便阻塞。
可以利用 buffered channel 来实现并发限制。
具体来讲,就是设置一个 buffered channel,在开启一个 goroutine 之前,先往该 channel 中发送数据,每个 goroutine 结束之时,从该 channel 中读取值。便可利用 buffered channel 的 size 来限制同时开启的并发数。
package main
import (
"fmt"
"time"
)
func Run(task_id, sleeptime, timeout int, ch chan string) {
ch_run := make(chan string)
go run(task_id, sleeptime, ch_run)
select {
case re := <-ch_run:
ch <- re
case <-time.After(time.Duration(timeout) * time.Second):
re := fmt.Sprintf("task id %d , timeout", task_id)
ch <- re
}
}
func run(task_id, sleeptime int, ch chan string) {
time.Sleep(time.Duration(sleeptime) * time.Second)
ch <- fmt.Sprintf("task id %d , sleep %d second", task_id, sleeptime)
return
}
func main() {
input := []int{3, 2, 1}
timeout := 2
chLimit := make(chan bool, 1)
chs := make([]chan string, len(input))
limitFunc := func(chLimit chan bool, ch chan string, task_id, sleeptime, timeout int){
Run(task_id, sleeptime, timeout, ch)
<-chLimit
}
startTime := time.Now()
fmt.Println("Multirun start")
for i, sleeptime := range input {
chs[i] = make(chan string, 1) // buffered channel,用来解决本示例的 dead lock 问题。
chLimit <- true
go limitFunc(chLimit, chs[i], i, sleeptime, timeout)
}
for _, ch := range chs {
fmt.Println(<-ch)
}
endTime := time.Now()
fmt.Printf("Multissh finished. Process time %s. Number of task is %d", endTime.Sub(startTime), len(input))
}