我们有一个业务场景(高并发),收到的每个任务都必须在很短的时间内完成,然后回报给调用方,因此每个任务都需要设定定时器。显然golang 默认的timer是不能支持这种场景的,因此我在delayqueue的基础上自己实现了一个库gtimer
GitHub地址
用golang实现的定时器,基于delayqueue
实现实现受到了Java DelayQueue.java的启发
源码地址
DelayQueue.java
依赖的几个结构依次为为
timer -> delayqueue -> priorityqueue -> heap
由于golang的Condition不支持wait一段时间,所以使用golang原生的Timer来替代了Condition在delayqueue中的作用
InstallationInstall:
go get -u github.com/vearne/gtimer
Import:
import "github.com/vearne/gtimer"
Quick Start
package main
import (
"fmt"
log "github.com/sirupsen/logrus"
"github.com/vearne/gtimer"
"math/rand"
"strconv"
"sync/atomic"
"time"
)
const (
PRODUCER_COUNT = 10
CONSUMER_COUNT = 10
TARGET_COUNT = 1000000
)
var ops int64 = 0
func main() {
st := gtimer.NewSuperTimer(CONSUMER_COUNT)
t1 := time.Now()
for i := 0; i < PRODUCER_COUNT; i++ {
go push(st, "worker"+strconv.Itoa(i))
}
time.Sleep(100 * time.Millisecond)
for {
v := atomic.LoadInt64(&ops)
if v >= TARGET_COUNT {
st.Stop()
break
} else {
time.Sleep(100 * time.Millisecond)
}
}
t2 := time.Now()
log.Infof("cost:%v\n", t2.Sub(t1))
}
func DefaultAction(t time.Time, value string) {
// fmt.Printf("trigger_time:%v, value:%v\n", t, value)
atomic.AddInt64(&ops, 1)
}
func push(timer *gtimer.SuperTimer, name string) {
r := rand.New(rand.NewSource(time.Now().UnixNano()))
for i := 0; i < 1000000; i++ {
now := time.Now()
t := now.Add(time.Millisecond * time.Duration(r.Int63n(300)))
value := fmt.Sprintf("%v:value:%v", name, strconv.Itoa(i))
// create a delayed task
item := gtimer.NewDelayedItemFunc(t, value, DefaultAction)
timer.Add(item)
}
}
use NewDelayedItemFunc, we can create a task
// triggerTime is time of the task should be execute
func NewDelayedItemFunc(triggerTime time.Time, value string, f func(time.Time, string)) *Item
task struct like
type Item struct {
value string // The value of the item; arbitrary.
priority int64 // The priority of the item in the queue.
// The index is needed by update and is maintained by the heap.Interface methods.
index int // The index of the item in the heap.
// when task is ready, execute OnTrigger function
OnTrigger func(time.Time, string)
}
Performance
CPU Model NameCPU ProcessorsMemory
Benchmark Test Results
produce goroutines count | consume goroutines count | qps(per second) |
---|---|---|
1 | 1 | 285714 |
10 | 10 | 90090 |
10 | 100 | 89285 |
100 | 100 | 23255 |
PS: 如果更多的考虑性能,推荐大家看看这篇文章
golang:一个高性能低精度timer实现
https://blog.csdn.net/siddontang/article/details/23826507