mirror of https://github.com/panjf2000/ants.git
245 lines
7.2 KiB
Markdown
245 lines
7.2 KiB
Markdown
# ants
|
||
|
||
<div align="center"><img src="https://user-images.githubusercontent.com/7496278/51748488-8efd2600-20e7-11e9-91f5-1c5b466dcca1.jpg"/></div>
|
||
|
||
<p align="center">A goroutine pool for Go</p>
|
||
|
||
[![Build Status][1]][2]
|
||
[![codecov][3]][4]
|
||
[![goreportcard for panjf2000/ants][5]][6]
|
||
[![godoc for panjf2000/ants][7]][8]
|
||
[![MIT Licence][9]][10]
|
||
|
||
[中文](README_ZH.md) | [Project Tutorial](http://blog.taohuawu.club/article/goroutine-pool)
|
||
|
||
Package `ants` implements a fixed goroutine pool for managing and recycling a massive number of goroutines, allowing developers to limit the number of goroutines that created in your concurrent programs.
|
||
|
||
## Features:
|
||
|
||
- Automatically managing and recycling a massive number of goroutines.
|
||
- Periodically clearing overdue goroutines.
|
||
- Friendly interfaces: submitting tasks, getting the number of running goroutines, readjusting capacity of pool dynamically, closing pool.
|
||
- Efficient in memory usage and it even achieves higher performance than unlimited goroutines in golang.
|
||
|
||
|
||
## How to install
|
||
|
||
``` sh
|
||
go get -u github.com/panjf2000/ants
|
||
```
|
||
|
||
Or, using glide:
|
||
|
||
``` sh
|
||
glide get github.com/panjf2000/ants
|
||
```
|
||
|
||
## How to use
|
||
If your program will generate a massive number of goroutines and you don't want them to consume a vast amount of memory, with `ants`, all you need to do is to import `ants` package and submit all your tasks to the default limited pool created when `ants` was imported:
|
||
|
||
``` go
|
||
package main
|
||
|
||
import (
|
||
"fmt"
|
||
"sync"
|
||
"sync/atomic"
|
||
"time"
|
||
|
||
"github.com/panjf2000/ants"
|
||
)
|
||
|
||
var sum int32
|
||
|
||
func myFunc(i interface{}) {
|
||
n := i.(int32)
|
||
atomic.AddInt32(&sum, n)
|
||
fmt.Printf("run with %d\n", n)
|
||
}
|
||
|
||
func demoFunc() {
|
||
time.Sleep(10 * time.Millisecond)
|
||
fmt.Println("Hello World!")
|
||
}
|
||
|
||
func main() {
|
||
defer ants.Release()
|
||
|
||
runTimes := 1000
|
||
|
||
// Use the common pool
|
||
var wg sync.WaitGroup
|
||
for i := 0; i < runTimes; i++ {
|
||
wg.Add(1)
|
||
ants.Submit(func() {
|
||
demoFunc()
|
||
wg.Done()
|
||
})
|
||
}
|
||
wg.Wait()
|
||
fmt.Printf("running goroutines: %d\n", ants.Running())
|
||
fmt.Printf("finish all tasks.\n")
|
||
|
||
// Use the pool with a function,
|
||
// set 10 to the size of goroutine pool and 1 second for expired duration
|
||
p, _ := ants.NewPoolWithFunc(10, func(i interface{}) {
|
||
myFunc(i)
|
||
wg.Done()
|
||
})
|
||
defer p.Release()
|
||
// Submit tasks
|
||
for i := 0; i < runTimes; i++ {
|
||
wg.Add(1)
|
||
p.Serve(int32(i))
|
||
}
|
||
wg.Wait()
|
||
fmt.Printf("running goroutines: %d\n", p.Running())
|
||
fmt.Printf("finish all tasks, result is %d\n", sum)
|
||
}
|
||
```
|
||
|
||
## Integrate with http server
|
||
```go
|
||
package main
|
||
|
||
import (
|
||
"io/ioutil"
|
||
"net/http"
|
||
|
||
"github.com/panjf2000/ants"
|
||
)
|
||
|
||
type Request struct {
|
||
Param []byte
|
||
Result chan []byte
|
||
}
|
||
|
||
func main() {
|
||
pool, _ := ants.NewPoolWithFunc(100, func(payload interface{}) {
|
||
request, ok := payload.(*Request)
|
||
if !ok {
|
||
return
|
||
}
|
||
reverseParam := func(s []byte) []byte {
|
||
for i, j := 0, len(s)-1; i < j; i, j = i+1, j-1 {
|
||
s[i], s[j] = s[j], s[i]
|
||
}
|
||
return s
|
||
}(request.Param)
|
||
|
||
request.Result <- reverseParam
|
||
})
|
||
defer pool.Release()
|
||
|
||
http.HandleFunc("/reverse", func(w http.ResponseWriter, r *http.Request) {
|
||
param, err := ioutil.ReadAll(r.Body)
|
||
if err != nil {
|
||
http.Error(w, "request error", http.StatusInternalServerError)
|
||
}
|
||
defer r.Body.Close()
|
||
|
||
request := &Request{Param: param, Result: make(chan []byte)}
|
||
|
||
// Throttle the requests traffic with ants pool. This process is asynchronous and
|
||
// you can receive a result from the channel defined outside.
|
||
if err := pool.Serve(request); err != nil {
|
||
http.Error(w, "throttle limit error", http.StatusInternalServerError)
|
||
}
|
||
|
||
w.Write(<-request.Result)
|
||
})
|
||
|
||
http.ListenAndServe(":8080", nil)
|
||
}
|
||
```
|
||
|
||
## Submit tasks
|
||
Tasks can be submitted by calling `ants.Submit(func())`
|
||
```go
|
||
ants.Submit(func(){})
|
||
```
|
||
|
||
## Customize limited pool
|
||
`ants` also supports customizing limited pool. You can use the `NewPool` method to create a pool with the given capacity, as following:
|
||
|
||
``` go
|
||
// Set 10000 the size of goroutine pool
|
||
p, _ := ants.NewPool(10000)
|
||
// Submit a task
|
||
p.Submit(func(){})
|
||
```
|
||
|
||
## Tune pool capacity
|
||
You can change `ants` pool capacity at any time with `ReSize(int)`:
|
||
|
||
``` go
|
||
pool.ReSize(1000) // Tune its capacity to 1000
|
||
pool.ReSize(100000) // Tune its capacity to 100000
|
||
```
|
||
|
||
Don't worry about the synchronous problems in this case, this method is thread-safe.
|
||
|
||
## About sequence
|
||
All the tasks submitted to `ants` pool will not be guaranteed to be processed in order, because those tasks distribute among a series of concurrent workers, thus those tasks are processed concurrently.
|
||
|
||
## Benchmarks
|
||
|
||
```
|
||
OS : macOS High Sierra
|
||
Processor : 2.7 GHz Intel Core i5
|
||
Memory : 8 GB 1867 MHz DDR3
|
||
|
||
Go1.9
|
||
```
|
||
|
||
<div align="center"><img src="https://user-images.githubusercontent.com/7496278/51515466-c7ce9e00-1e4e-11e9-89c4-bd3785b3c667.png"/></div>
|
||
|
||
In that benchmark-picture, the first and second benchmarks performed test with 1M tasks and the rest of benchmarks performed test with 10M tasks, both unlimited goroutines and `ants` pool, and the capacity of this `ants` goroutine-pool was limited to 50K.
|
||
|
||
- BenchmarkGoroutine-4 represents the benchmarks with unlimited goroutines in golang.
|
||
|
||
- BenchmarkPoolGroutine-4 represents the benchmarks with a `ants` pool.
|
||
|
||
The test data above is a basic benchmark and the more detailed benchmarks will be uploaded later.
|
||
|
||
### Benchmarks with Pool
|
||
|
||
|
||
|
||
In that benchmark-picture, the first and second benchmarks performed test with 1M tasks and the rest of benchmarks performed test with 10M tasks, both unlimited goroutines and `ants` pool, and the capacity of this `ants` goroutine-pool was limited to 50K.
|
||
|
||
**As you can see, `ants` can up to 2x faster than goroutines without pool (10M tasks) and it only consumes half memory comparing with goroutines without pool. (both 1M and 10M tasks)**
|
||
|
||
### Benchmarks with PoolWithFunc
|
||
|
||
|
||
|
||
### Throughput (it is suitable for scenarios where asynchronous tasks are submitted without concern for results)
|
||
|
||
#### 100K tasks
|
||
|
||
|
||
|
||
#### 1M tasks
|
||
|
||
|
||
|
||
#### 10M tasks
|
||
|
||
|
||
|
||
There was only the test of `ants` Pool because my computer was crash when it reached 10M goroutines without pool.
|
||
|
||
**In conclusion, `ants` can up to 2x~6x faster than goroutines without pool and the memory consumption is reduced by 10 to 20 times.**
|
||
|
||
[1]: https://travis-ci.com/panjf2000/ants.svg?branch=master
|
||
[2]: https://travis-ci.com/panjf2000/ants
|
||
[3]: https://codecov.io/gh/panjf2000/ants/branch/master/graph/badge.svg
|
||
[4]: https://codecov.io/gh/panjf2000/ants
|
||
[5]: https://goreportcard.com/badge/github.com/panjf2000/ants
|
||
[6]: https://goreportcard.com/report/github.com/panjf2000/ants
|
||
[7]: https://godoc.org/github.com/panjf2000/ants?status.svg
|
||
[8]: https://godoc.org/github.com/panjf2000/ants
|
||
[9]: https://badges.frapsoft.com/os/mit/mit.svg?v=103
|
||
[10]: https://opensource.org/licenses/mit-license.php
|