mirror of https://github.com/panjf2000/ants.git
176 lines
4.0 KiB
Markdown
176 lines
4.0 KiB
Markdown
# ants
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<div align="center"><img src="ants_logo.png"/></div>
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<p align="center">A goroutine pool for Go</p>
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[![godoc for panjf2000/ants][1]][2] [![goreportcard for panjf2000/ants][3]][4] ![License](https://img.shields.io/dub/l/vibe-d.svg)
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[英文说明页](README.md) | [项目介绍文章传送门](http://blog.taohuawu.club/article/42)
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`ants`是一个高性能的协程池,实现了对大规模goroutine的调度管理、goroutine复用,允许使用者在开发并发程序的时候限制协程数量,复用资源,达到更高效执行任务的效果。
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## 功能:
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- 实现了自动调度并发的goroutine,复用goroutine
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- 提供了友好的接口:任务提交、获取运行中的协程数量、动态调整协程池大小
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- 资源复用,极大节省内存使用量;在大规模批量并发任务场景下比原生goroutine并发具有更高的性能
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## 安装
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``` sh
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go get -u github.com/panjf2000/ants
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```
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使用包管理工具 glide 安装:
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``` sh
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glide get github.com/panjf2000/ants
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```
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## 使用
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写 go 并发程序的时候如果程序会启动大量的 goroutine ,势必会消耗大量的系统资源(内存,CPU),通过使用 `ants`,可以实例化一个协程池,复用 goroutine ,节省资源,提升性能:
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``` go
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package main
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import (
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"fmt"
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"sync"
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"sync/atomic"
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"github.com/panjf2000/ants"
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"time"
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)
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var sum int32
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func myFunc(i interface{}) error {
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n := i.(int)
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atomic.AddInt32(&sum, int32(n))
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fmt.Printf("run with %d\n", n)
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return nil
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}
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func demoFunc() error {
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time.Sleep(10 * time.Millisecond)
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fmt.Println("Hello World!")
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return nil
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}
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func main() {
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runTimes := 1000
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// use the common pool
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var wg sync.WaitGroup
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for i := 0; i < runTimes; i++ {
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wg.Add(1)
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ants.Submit(func() error {
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demoFunc()
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wg.Done()
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return nil
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})
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}
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wg.Wait()
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fmt.Printf("running goroutines: %d\n", ants.Running())
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fmt.Printf("finish all tasks.\n")
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// use the pool with a function
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// set 10 the size of goroutine pool
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p, _ := ants.NewPoolWithFunc(10, func(i interface{}) error {
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myFunc(i)
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wg.Done()
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return nil
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})
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// submit tasks
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for i := 0; i < runTimes; i++ {
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wg.Add(1)
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p.Serve(i)
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}
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wg.Wait()
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fmt.Printf("running goroutines: %d\n", p.Running())
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fmt.Printf("finish all tasks, result is %d\n", sum)
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}
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```
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## 任务提交
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提交任务通过调用 `ants.Submit(func())`方法:
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```go
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ants.Submit(func() {})
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```
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## 自定义池
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`ants`支持实例化使用者自己的一个 Pool ,指定具体的池容量;通过调用 `NewPool` 方法可以实例化一个新的带有指定容量的 Pool ,如下:
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``` go
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// set 10000 the size of goroutine pool
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p, _ := ants.NewPool(10000)
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// submit a task
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p.Submit(func() {})
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```
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## 动态调整协程池容量
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需要动态调整协程池容量可以通过调用`ReSize(int)`:
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``` go
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pool.ReSize(1000) // Readjust its capacity to 1000
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pool.ReSize(100000) // Readjust its capacity to 100000
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```
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该方法是线程安全的。
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## Benchmarks
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系统参数:
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```
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OS : macOS High Sierra
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Processor : 2.7 GHz Intel Core i5
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Memory : 8 GB 1867 MHz DDR3
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```
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<div align="center"><img src="ants_benchmarks.png"/></div>
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上图中的前两个 benchmark 测试结果是基于100w任务量的条件,剩下的几个是基于1000w任务量的测试结果,`ants`的默认池容量是5w。
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- BenchmarkGoroutine-4 代表原生goroutine
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- BenchmarkPoolGroutine-4 代表使用协程池`ants`
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### Benchmarks with Pool
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![](benchmark_pool.png)
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### Benchmarks with PoolWithFunc
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![](ants_bench_poolwithfunc.png)
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### 吞吐量测试
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#### 10w 任务量
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![](ants_bench_10w.png)
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#### 100w 任务量
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![](ants_bench_100w.png)
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#### 1000w 任务量
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![](ants_bench_1000w.png)
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1000w任务量的场景下,我的电脑已经无法支撑 golang 的原生 goroutine 并发,所以只测出了使用`ants`池的测试结果。
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[1]: https://godoc.org/github.com/panjf2000/ants?status.svg
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[2]: https://godoc.org/github.com/panjf2000/ants
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[3]: https://goreportcard.com/badge/github.com/panjf2000/ants
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[4]: https://goreportcard.com/report/github.com/panjf2000/ants
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