Description
WorkerGo is a worker pool implementation that can be used in any Go program to handle tasks with workers. Workers created by WorkerGo calls the method of the structs sent them as a job. So, any struct with a method needs to be called in parallel can be sent to WorkerGo's job queue.
WorkerGo is heavily influenced by the Marcio Catilho's post here: http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang/
I was trying to write a worker pool implementation that I could use in a program with different portions of it will require parallel processing. I found his post while researching, created a new package using portions of his samples in my project. Since the package I created can be used for calling any struct with a method, I thought it would be good to share, so, it can be used in any program that needs a worker pool implementation.
WorkerGo alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view WorkerGo alternatives based on common mentions on social networks and blogs.
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ants
🐜🐜🐜 ants is a high-performance and low-cost goroutine pool in Go./ ants 是一个高性能且低损耗的 goroutine 池。 -
goworker
goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers. -
pond
🔘 Minimalistic and High-performance goroutine worker pool written in Go -
pool
:speedboat: a limited consumer goroutine or unlimited goroutine pool for easier goroutine handling and cancellation -
Goflow
Simply way to control goroutines execution order based on dependencies -
artifex
Simple in-memory job queue for Golang using worker-based dispatching -
go-workers
👷 Library for safely running groups of workers concurrently or consecutively that require input and output through channels -
async
A safe way to execute functions asynchronously, recovering them in case of panic. It also provides an error stack aiming to facilitate fail causes discovery. -
gollback
Go asynchronous simple function utilities, for managing execution of closures and callbacks -
semaphore
🚦 Semaphore pattern implementation with timeout of lock/unlock operations. -
Hunch
Hunch provides functions like: All, First, Retry, Waterfall etc., that makes asynchronous flow control more intuitive. -
goccm
Limits the number of goroutines that are allowed to run concurrently -
go-do-work
Dynamically resizable pools of goroutines which can queue an infinite number of jobs. -
gpool
gpool - a generic context-aware resizable goroutines pool to bound concurrency based on semaphore. -
go-actor
A tiny library for writing concurrent programs in Go using actor model -
routine
go routine control, abstraction of the Main and some useful Executors.如果你不会管理Goroutine的话,用它 -
gowl
Gowl is a process management and process monitoring tool at once. An infinite worker pool gives you the ability to control the pool and processes and monitor their status. -
go-waitgroup
A sync.WaitGroup with error handling and concurrency control -
kyoo
Unlimited job queue for go, using a pool of concurrent workers processing the job queue entries -
channelify
Make functions return a channel for parallel processing via go routines. -
go-tools/multithreading
A collection of tools for Golang -
execpool
A pool that spins up a given number of processes in advance and attaches stdin and stdout when needed. Very similar to FastCGI but works for any command. -
conexec
A concurrent toolkit to help execute funcs concurrently in an efficient and safe way. It supports specifying the overall timeout to avoid blocking. -
concurrency-limiter
Concurrency limiter with support for timeouts , dynamic priority and context cancellation of goroutines. -
hands
Hands is a process controller used to control the execution and return strategies of multiple goroutines. -
queue
package queue gives you a queue group accessibility. Helps you to limit goroutines, wait for the end of the all goroutines and much more. -
async-job
AsyncJob is an asynchronous queue job manager with light code, clear and speed. I hope so ! 😬
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Popular Comparisons
README
WorkerGo
WorkerGo is an MIT licensed worker pool implementation that can be used in any Go program to handle tasks with workers.
WorkerGo is heavily influenced by the Marcio Catilho's post here: http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang/
I was trying to write a worker pool implementation that I could use in a program with different portions of it will require parallel processing. I found his post while researching, created a new package using portions of his samples in my project. Since the package I created can be used for calling any struct with a method, I thought it would be good to share, so, it can be used in any program that needs a worker pool implementation.
Installation
go get gopkg.in/yasarix/workergo.v2
Usage
First, a Dispatcher
needs to be created.
maxWorkers := 5 // Maximum number of workers
queueBufferSize := 200 // Buffer size for job queue
d := workergo.New(maxWorkers, queueBufferSize)
// Start dispatcher
d.Start()
Workergo accepts any struct that implements Job
interface that you can see below:
type Job interface {
Run()
}
Then, a struct that satisfies Job
interface can be created and sent to job queue:
type MyJob struct {
id int
}
func (j *MyJob) Run() {
fmt.Printf("This is job id: %d", id)
time.Sleep(5 * time.Second)
}
...
...
func main() {
d := workergo.New(5, 100)
d.Start()
for i := 0; i < 13; i++ {
j := MyJob{id: i}
d.Submit(&j)
}
// Wait for workers to finish executing `j.Run()` methods
d.Wait()
}
Setting a rate limiter
You can also run the dispatcher with a rate limiter value. Simply, pass a time.Duration
while creating the dispatcher:
d := workergo.New(5, 100, workergo.RateLimit(time.Millisecond * 500))
Now, each job that you have submitted will be dispatched with 0.5 seconds delay.
Stopping the dispatcher
Dispatcher can be stopped gracefully by calling Stop()
method of Dispatcher
. Dispatcher will wait until the actively running jobs to finish, and then stop dispatching rest of the jobs in the queue, and will shut down the workers.
Code Documentation
*Note that all licence references and agreements mentioned in the WorkerGo README section above
are relevant to that project's source code only.