mirror of https://github.com/panjf2000/ants.git
Improve grammar in README and add go1.13 to CI
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@ -5,6 +5,7 @@ go:
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- "1.10.x"
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- "1.11.x"
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- "1.12.x"
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- "1.13.x"
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before_install:
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- go get -t -v ./...
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16
README.md
16
README.md
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@ -25,6 +25,7 @@ Library `ants` implements a goroutine pool with fixed capacity, managing and rec
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- Friendly interfaces: submitting tasks, getting the number of running goroutines, tuning capacity of pool dynamically, closing pool.
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- Handle panic gracefully to prevent programs from crash.
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- Efficient in memory usage and it even achieves higher performance than unlimited goroutines in golang.
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- Nonblocking mechanism.
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## Tested in the following Golang versions:
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@ -33,6 +34,7 @@ Library `ants` implements a goroutine pool with fixed capacity, managing and rec
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- 1.10.x
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- 1.11.x
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- 1.12.x
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- 1.13.x
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## How to install
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@ -42,7 +44,7 @@ go get -u github.com/panjf2000/ants
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```
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## How to use
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Just take a imagination that your program starts a massive number of goroutines, from which a vast amount of memory will be consumed. To mitigate that kind of situation, all you need to do is to import `ants` package and submit all your tasks to a default pool with fixed capacity, activated when package `ants` is imported:
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Just take a imagination that your program starts a massive number of goroutines, resulting in a huge consumption of memory. To mitigate that kind of situation, all you need to do is to import `ants` package and submit all your tasks to a default pool with fixed capacity, activated when package `ants` is imported:
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``` go
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package main
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@ -251,7 +253,7 @@ Don't worry about the synchronous problems in this case, the method here is thre
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## Pre-malloc goroutine queue in pool
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`ants` allows you to pre-allocate memory of goroutine queue in pool, which may get a performance enhancement under some special certain circumstances such as the scenario that requires an pool with ultra-large capacity, meanwhile each task in goroutine lasts for a long time, in this case, pre-mallocing will reduce a lot of costs when re-slicing goroutine queue.
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`ants` allows you to pre-allocate memory of goroutine queue in pool, which may get a performance enhancement under some special certain circumstances such as the scenario that requires a pool with ultra-large capacity, meanwhile each task in goroutine lasts for a long time, in this case, pre-mallocing will reduce a lot of costs when re-slicing goroutine queue.
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```go
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// ants will pre-malloc the whole capacity of pool when you invoke this method
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@ -270,27 +272,25 @@ All tasks submitted to `ants` pool will not be guaranteed to be addressed in ord
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## Benchmarks
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<div align="center"><img src="https://user-images.githubusercontent.com/7496278/51515466-c7ce9e00-1e4e-11e9-89c4-bd3785b3c667.png"/></div>
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In that benchmark-picture, the first and second benchmarks performed test cases with 1M tasks and the rest of benchmarks performed test cases with 10M tasks, both in unlimited goroutines and `ants` pool, and the capacity of this `ants` goroutine-pool was limited to 50K.
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In this benchmark-picture, the first and second benchmarks performed test cases with 1M tasks and the rest of benchmarks performed test cases with 10M tasks, both in unlimited goroutines and `ants` pool, and the capacity of this `ants` goroutine-pool was limited to 50K.
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- BenchmarkGoroutine-4 represents the benchmarks with unlimited goroutines in golang.
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- BenchmarkPoolGroutine-4 represents the benchmarks with a `ants` pool.
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The test data above is a basic benchmark and more detailed benchmarks are about to be uploaded later.
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### Benchmarks with Pool
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![](https://user-images.githubusercontent.com/7496278/51515499-f187c500-1e4e-11e9-80e5-3df8f94fa70f.png)
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In above benchmark picture, the first and second benchmarks performed test cases with 1M tasks and the rest of benchmarks performed test cases with 10M tasks, both in unlimited goroutines and `ants` pool, and the capacity of this `ants` goroutine-pool was limited to 50K.
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**As you can see, `ants` can up to 2x faster than goroutines without pool (10M tasks) and it only consumes half the memory comparing with goroutines without pool. (both 1M and 10M tasks)**
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**As you can see, `ants` performs 2 times faster than goroutines without pool (10M tasks) and it only consumes half the memory comparing with goroutines without pool. (both in 1M and 10M tasks)**
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### Benchmarks with PoolWithFunc
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![](https://user-images.githubusercontent.com/7496278/51515565-1e3bdc80-1e4f-11e9-8a08-452ab91d117e.png)
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### Throughput (it is suitable for scenarios where asynchronous tasks are submitted despite of the final results)
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### Throughput (it is suitable for scenarios where tasks are submitted asynchronously without waiting for the final results)
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#### 100K tasks
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@ -308,4 +308,4 @@ In above benchmark picture, the first and second benchmarks performed test cases
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![](https://user-images.githubusercontent.com/7496278/63449727-3ae6d400-c473-11e9-81e3-8b3280d8288a.gif)
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**In conclusion, `ants` can up to 2x~6x faster than goroutines without a pool and the memory consumption is reduced by 10 to 20 times.**
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**In conclusion, `ants` performs 2~6 times faster than goroutines without a pool and the memory consumption is reduced by 10 to 20 times.**
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@ -25,6 +25,7 @@ A goroutine pool for Go
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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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- 优雅处理 panic,防止程序崩溃
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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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- 非阻塞机制
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## 目前测试通过的Golang版本:
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@ -33,6 +34,7 @@ A goroutine pool for Go
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- 1.10.x
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- 1.11.x
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- 1.12.x
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- 1.13.x
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## 安装
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@ -270,11 +272,11 @@ pool.Release()
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## Benchmarks
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<div align="center"><img src="https://user-images.githubusercontent.com/7496278/51515466-c7ce9e00-1e4e-11e9-89c4-bd3785b3c667.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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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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- BenchmarkPoolGroutine-4 代表使用协程池 `ants`
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### Benchmarks with Pool
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