### Activity Diagrams ![](https://raw.githubusercontent.com/panjf2000/illustrations/master/go/ants-pool-1.png) ![](https://raw.githubusercontent.com/panjf2000/illustrations/master/go/ants-pool-2.png) ![](https://raw.githubusercontent.com/panjf2000/illustrations/master/go/ants-pool-3.png) ![](https://raw.githubusercontent.com/panjf2000/illustrations/master/go/ants-pool-4.png) ## 🧰 How to install ### For `ants` v1 ``` powershell go get -u github.com/panjf2000/ants ``` ### For `ants` v2 (with GO111MODULE=on) ```powershell go get -u github.com/panjf2000/ants/v2 ``` ## 🛠 How to use Just imagine 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: ``` go package main import ( "fmt" "sync" "sync/atomic" "time" "github.com/panjf2000/ants/v2" ) 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 syncCalculateSum := func() { demoFunc() wg.Done() } for i := 0; i < runTimes; i++ { wg.Add(1) _ = ants.Submit(syncCalculateSum) } 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 capacity 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 one by one. for i := 0; i < runTimes; i++ { wg.Add(1) _ = p.Invoke(int32(i)) } wg.Wait() fmt.Printf("running goroutines: %d\n", p.Running()) fmt.Printf("finish all tasks, result is %d\n", sum) if sum != 499500 { panic("the final result is wrong!!!") } // Use the MultiPool and set the capacity of the 10 goroutine pools to unlimited. // If you use -1 as the pool size parameter, the size will be unlimited. // There are two load-balancing algorithms for pools: ants.RoundRobin and ants.LeastTasks. mp, _ := ants.NewMultiPool(10, -1, ants.RoundRobin) defer mp.ReleaseTimeout(5 * time.Second) for i := 0; i < runTimes; i++ { wg.Add(1) _ = mp.Submit(syncCalculateSum) } wg.Wait() fmt.Printf("running goroutines: %d\n", mp.Running()) fmt.Printf("finish all tasks.\n") // Use the MultiPoolFunc and set the capacity of 10 goroutine pools to (runTimes/10). mpf, _ := ants.NewMultiPoolWithFunc(10, runTimes/10, func(i interface{}) { myFunc(i) wg.Done() }, ants.LeastTasks) defer mpf.ReleaseTimeout(5 * time.Second) for i := 0; i < runTimes; i++ { wg.Add(1) _ = mpf.Invoke(int32(i)) } wg.Wait() fmt.Printf("running goroutines: %d\n", mpf.Running()) fmt.Printf("finish all tasks, result is %d\n", sum) if sum != 499500*2 { panic("the final result is wrong!!!") } } ``` ### Functional options for ants pool ```go // Option represents the optional function. type Option func(opts *Options) // Options contains all options which will be applied when instantiating a ants pool. type Options struct { // ExpiryDuration is a period for the scavenger goroutine to clean up those expired workers, // the scavenger scans all workers every `ExpiryDuration` and clean up those workers that haven't been // used for more than `ExpiryDuration`. ExpiryDuration time.Duration // PreAlloc indicates whether to make memory pre-allocation when initializing Pool. PreAlloc bool // Max number of goroutine blocking on pool.Submit. // 0 (default value) means no such limit. MaxBlockingTasks int // When Nonblocking is true, Pool.Submit will never be blocked. // ErrPoolOverload will be returned when Pool.Submit cannot be done at once. // When Nonblocking is true, MaxBlockingTasks is inoperative. Nonblocking bool // PanicHandler is used to handle panics from each worker goroutine. // if nil, panics will be thrown out again from worker goroutines. PanicHandler func(interface{}) // Logger is the customized logger for logging info, if it is not set, // default standard logger from log package is used. Logger Logger } // WithOptions accepts the whole options config. func WithOptions(options Options) Option { return func(opts *Options) { *opts = options } } // WithExpiryDuration sets up the interval time of cleaning up goroutines. func WithExpiryDuration(expiryDuration time.Duration) Option { return func(opts *Options) { opts.ExpiryDuration = expiryDuration } } // WithPreAlloc indicates whether it should malloc for workers. func WithPreAlloc(preAlloc bool) Option { return func(opts *Options) { opts.PreAlloc = preAlloc } } // WithMaxBlockingTasks sets up the maximum number of goroutines that are blocked when it reaches the capacity of pool. func WithMaxBlockingTasks(maxBlockingTasks int) Option { return func(opts *Options) { opts.MaxBlockingTasks = maxBlockingTasks } } // WithNonblocking indicates that pool will return nil when there is no available workers. func WithNonblocking(nonblocking bool) Option { return func(opts *Options) { opts.Nonblocking = nonblocking } } // WithPanicHandler sets up panic handler. func WithPanicHandler(panicHandler func(interface{})) Option { return func(opts *Options) { opts.PanicHandler = panicHandler } } // WithLogger sets up a customized logger. func WithLogger(logger Logger) Option { return func(opts *Options) { opts.Logger = logger } } ``` `ants.Options`contains all optional configurations of the ants pool, which allows you to customize the goroutine pool by invoking option functions to set up each configuration in `NewPool`/`NewPoolWithFunc`method. ### Customize limited pool `ants` also supports customizing the capacity of the pool. You can invoke the `NewPool` method to instantiate a pool with a given capacity, as follows: ``` go p, _ := ants.NewPool(10000) ``` ### Submit tasks Tasks can be submitted by calling `ants.Submit(func())` ```go ants.Submit(func(){}) ``` ### Tune pool capacity in runtime You can tune the capacity of `ants` pool in runtime with `Tune(int)`: ``` go pool.Tune(1000) // Tune its capacity to 1000 pool.Tune(100000) // Tune its capacity to 100000 ``` Don't worry about the contention problems in this case, the method here is thread-safe (or should be called goroutine-safe). ### Pre-malloc goroutine queue in pool `ants` allows you to pre-allocate the memory of the goroutine queue in the 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 memory allocation in goroutine queue. ```go // ants will pre-malloc the whole capacity of pool when you invoke this method p, _ := ants.NewPool(100000, ants.WithPreAlloc(true)) ``` ### Release Pool ```go pool.Release() ``` ### Reboot Pool ```go // A pool that has been released can be still used once you invoke the Reboot(). pool.Reboot() ``` ## ⚙️ About sequence 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 would be executed concurrently. ## 👏 Contributors Please read our [Contributing Guidelines](CONTRIBUTING.md) before opening a PR and thank you to all the developers who already made contributions to `ants`! ## 📄 License The source code in `ants` is available under the [MIT License](/LICENSE). ## 📚 Relevant Articles - [Goroutine 并发调度模型深度解析之手撸一个高性能 goroutine 池](https://taohuawu.club/high-performance-implementation-of-goroutine-pool) - [Visually Understanding Worker Pool](https://medium.com/coinmonks/visually-understanding-worker-pool-48a83b7fc1f5) - [The Case For A Go Worker Pool](https://brandur.org/go-worker-pool) - [Go Concurrency - GoRoutines, Worker Pools and Throttling Made Simple](https://twin.sh/articles/39/go-concurrency-goroutines-worker-pools-and-throttling-made-simple) ## 🖥 Use cases ### business companies The following companies/organizations use `ants` in production.