Popularity
4.4
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Activity
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4
10
Programming language: Go
Tags:
Goroutines
Latest version: v3.1
GoSlaves alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view GoSlaves 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. -
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. -
goccm
Limits the number of goroutines that are allowed to run concurrently -
routine
go routine control, abstraction of the Main and some useful Executors.如果你不会管理Goroutine的话,用它 -
go-actor
A tiny library for writing concurrent programs in Go using actor model -
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. -
kyoo
Unlimited job queue for go, using a pool of concurrent workers processing the job queue entries -
go-waitgroup
A sync.WaitGroup with error handling and concurrency control -
channelify
Make functions return a channel for parallel processing via go routines. -
conexec
A concurrent toolkit to help execute funcs concurrently in an efficient and safe way. It supports specifying the overall timeout to avoid blocking. -
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. -
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 ! 😬 -
github.com/akshaybharambe14/gowp
High performance, type safe, concurrency limiting worker pool package for golang!
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README
GoSlaves
GoSlaves is a simple golang's library which can handle wide list of tasks asynchronously and safely.
Installation
$ go get -u -v -x github.com/dgrr/GoSlaves
Benchmark
Note that all of this benchmarks have been implemented as his owners recommends. More of this goroutine pools works with more than 4 goroutines.
After a lot of benchmarks and the following enhancings of the package I got this results:
$ GOMAXPROCS=4 go test -v -bench=. -benchtime=5s -benchmem
goos: linux
goarch: amd64
BenchmarkGrPool-4 10000000 715 ns/op 40 B/op 1 allocs/op
BenchmarkSlavePool-4 20000000 358 ns/op 16 B/op 1 allocs/op
BenchmarkTunny-4 2000000 4165 ns/op 32 B/op 2 allocs/op
BenchmarkWorkerpool-4 3000000 3023 ns/op 40 B/op 1 allocs/op
$ GOMAXPROCS=2 go test -bench=. -benchmem -benchtime=10s
goos: linux
goarch: amd64
BenchmarkGrPool-2 20000000 717 ns/op 40 B/op 1 allocs/op
BenchmarkSlavePool-2 100000000 212 ns/op 16 B/op 1 allocs/op
BenchmarkTunny-2 5000000 3142 ns/op 32 B/op 2 allocs/op
Library | Goroutines | Channel buffer |
---|---|---|
GoSlaves | 4 | 1 |
GrPool | 50 | 50 |
Tunny | 4 | 1 |
Workerpool | 4 | 1 |
Example
package main
import (
"fmt"
"net"
"github.com/dgrr/GoSlaves"
)
func main() {
pool := slaves.NewPool(0, func(obj interface{}) {
conn := obj.(net.Conn)
fmt.Fprintf(conn, "Welcome to GoSlaves!\n")
conn.Close()
})
ln, err := net.Listen("tcp4", ":8080")
if err != nil {
panic(err)
}
for {
conn, err := ln.Accept()
if err != nil {
break
}
pool.Serve(conn)
}
}