gohive alternatives and similar packages
Based on the "Goroutines" category.
Alternatively, view gohive alternatives based on common mentions on social networks and blogs.
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goworker
goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers. -
pool
:speedboat: a limited consumer goroutine or unlimited goroutine pool for easier goroutine handling and cancellation -
go-workers
DISCONTINUED. ๐ท 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. -
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gollback
Go asynchronous simple function utilities, for managing execution of closures and callbacks -
Hunch
Hunch provides functions like: All, First, Retry, Waterfall etc., that makes asynchronous flow control more intuitive. -
gpool
gpool - a generic context-aware resizable goroutines pool to bound concurrency based on semaphore. -
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. -
routine
go routine control, abstraction of the Main and some useful Executors.ๅฆๆไฝ ไธไผ็ฎก็Goroutine็่ฏ๏ผ็จๅฎ -
kyoo
Unlimited job queue for go, using a pool of concurrent workers processing the job queue entries -
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. -
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concurrency-limiter
Concurrency limiter with support for timeouts , dynamic priority and context cancellation of goroutines. -
conexec
A concurrent toolkit to help execute funcs concurrently in an efficient and safe way. It supports specifying the overall timeout to avoid blocking. -
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. -
hands
Hands is a process controller used to control the execution and return strategies of multiple goroutines. -
async-job
AsyncJob is an asynchronous queue job manager with light code, clear and speed. I hope so ! ๐ฌ
InfluxDB - Purpose built for real-time analytics at any scale.
Do you think we are missing an alternative of gohive or a related project?
README
gohive Package gohive implements a simple and easy to use goroutine pool for Go
Features
- Pool can be created with a specific size as per the requirement
- Offers efficient performance by implementing
sync.Pool, which maintains pool of workers in which workers gets recycled automatically when not in use - Implements a Task Queue which can hold surplus tasks in waiting, if submitted more than the pool capacity
- Implements PoolService type, which acts as an easy to use API with simple methods to interact with gohive
- Gracefully handles panics and prevent the application from getting crashed or into deadlocks
- Provides functions like: AvailableWorkers(), ActiveWorkers() and Close() etc.
Installation
Use go get to install and update:
$ go get -u github.com/loveleshsharma/gohive
Usage
- Create an instance of PoolService type first
hive := gohive.NewFixedSizePool(5)
- Invoke the Submit() function and pass the task to execute
hive.Submit(someTask())
Submit function accepts a function as an argument, which it passes to the pool if a worker is available, otherwise enqueues it in a waiting queue
- To close the pool we can invoke the Close() function
hive.Close()
Once the pool is closed, we cannot assign any task to it
Example
Let's get into a full program where we can see how to use the gohive package in order to execute many goroutines simultaneously
package main
import (
"github.com/loveleshsharma/gohive"
"fmt"
"sync"
)
func main() {
var wg sync.WaitGroup
hivePool := gohive.NewFixedSizePool(5)
//wrap your executable function into another function with wg.Done()
executableTask := func() {
defer wg.Done()
factorial(5)
}
wg.Add(1)
hivePool.Submit(executableTask)
wg.Wait()
}
func factorial(val int) {
var fact = val
var res = 1
for i := fact; i > 0; i-- {
res = res * i
}
fmt.Printf("Factorial: %v", res)
}
Important : Always put defer wg.Done() as the first statement of your wrapper function. It will prevent your program from deadlocks in case of panics
Workers implements a notifying mechanism, due to which they can notify to the pool that their task is completed and they are available to execute more tasks if in waiting queue