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update example codes

This commit is contained in:
Andy Pan 2018-07-06 20:39:23 +08:00
parent 6da1112dff
commit a2fbed1900
3 changed files with 16 additions and 7 deletions
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14
README.md
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@ -37,7 +37,6 @@ glide get github.com/panjf2000/ants
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: 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 ``` go
package main package main
import ( import (
@ -84,8 +83,8 @@ func main() {
fmt.Printf("finish all tasks.\n") fmt.Printf("finish all tasks.\n")
// use the pool with a function // use the pool with a function
// set 10 the size of goroutine pool // set 10 the size of goroutine pool and 1 second for expired duration
p, _ := ants.NewPoolWithFunc(10, func(i interface{}) error { p, _ := ants.NewPoolWithFunc(10, 1, func(i interface{}) error {
myFunc(i) myFunc(i)
wg.Done() wg.Done()
return nil return nil
@ -132,6 +131,15 @@ Don't worry about the synchronous problems in this case, this method is thread-s
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. 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 ## 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="ants_benchmarks.png"/></div> <div align="center"><img src="ants_benchmarks.png"/></div>
In that benchmark-picture, the first and second benchmarks performed test with 100w tasks and the rest of benchmarks performed test with 1000w tasks, both unlimited goroutines and ants pool, and the capacity of this ants goroutine-pool was limited to 5w. In that benchmark-picture, the first and second benchmarks performed test with 100w tasks and the rest of benchmarks performed test with 1000w tasks, both unlimited goroutines and ants pool, and the capacity of this ants goroutine-pool was limited to 5w.

7
README_ZH.md
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@ -38,7 +38,6 @@ glide get github.com/panjf2000/ants
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： 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：
``` go ``` go
package main package main
import ( import (
@ -85,8 +84,8 @@ func main() {
fmt.Printf("finish all tasks.\n") fmt.Printf("finish all tasks.\n")
// use the pool with a function // use the pool with a function
// set 10 the size of goroutine pool // set 10 the size of goroutine pool and 1 second for expired duration
p, _ := ants.NewPoolWithFunc(10, func(i interface{}) error { p, _ := ants.NewPoolWithFunc(10, 1, func(i interface{}) error {
myFunc(i) myFunc(i)
wg.Done() wg.Done()
return nil return nil
@ -137,6 +136,8 @@ pool.ReSize(100000) // Readjust its capacity to 100000
OS : macOS High Sierra OS : macOS High Sierra
Processor : 2.7 GHz Intel Core i5 Processor : 2.7 GHz Intel Core i5
Memory : 8 GB 1867 MHz DDR3 Memory : 8 GB 1867 MHz DDR3
Go1.9
``` ```

2
examples/main.go
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@ -66,7 +66,7 @@ func main() {
fmt.Printf("finish all tasks.\n") fmt.Printf("finish all tasks.\n")
// use the pool with a function // use the pool with a function
// set 10 the size of goroutine pool // set 10 the size of goroutine pool and 1 second for expired duration
p, _ := ants.NewPoolWithFunc(10, 1, func(i interface{}) error { p, _ := ants.NewPoolWithFunc(10, 1, func(i interface{}) error {
myFunc(i) myFunc(i)
wg.Done() wg.Done()