forked from mirror/ants
🐅 Grammar improvement
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@ -12,7 +12,7 @@
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[中文](README_ZH.md) | [Project Tutorial](http://blog.taohuawu.club/article/goroutine-pool)
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Library `ants` implements a fixed capacity 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.
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Library `ants` implements a goroutine pool with fixed capacity, managing and recycling a massive number of goroutines, allowing developers to limit the number of goroutines in your concurrent programs.
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## Features:
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@ -44,7 +44,7 @@ glide get 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 startovers a massive number of goroutines, from which a vast amount of memory will be consumed. To mitigate that kind of thing, all you need to do is to import `ants` package and submit all your tasks to a default pool with fixed capacity created when `ants` has been imported:
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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` has been imported:
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``` go
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package main
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@ -169,7 +169,7 @@ ants.Submit(func(){})
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```
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## Customize limited pool
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`ants` also supports customizing the capacity of pool. You can call the `NewPool` function to instantiate a pool with a given capacity, as following:
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`ants` also supports customizing the capacity of pool. You can invoke the `NewPool` function to instantiate a pool with a given capacity, as following:
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``` go
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// Set 10000 the size of goroutine pool
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@ -197,7 +197,7 @@ pool.Release()
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## About sequence
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All the tasks submitted to `ants` pool will not be guaranteed to be addressed in order, because those tasks scatter among a series of concurrent workers, thus those tasks are executed concurrently.
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All tasks submitted to `ants` pool will not be guaranteed to be addressed in order, because those tasks scatter among a series of concurrent workers, thus those tasks are executed concurrently.
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## Benchmarks
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