https://github.com/kavehmz/queue

A Go queue manager on top of Redis
https://github.com/kavehmz/queue

golang queue redis

Last synced: about 1 month ago
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A Go queue manager on top of Redis

• Host: GitHub
• URL: https://github.com/kavehmz/queue
• Owner: kavehmz
• License: mit
• Created: 2015-11-30T10:32:14.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2021-09-05T17:05:08.000Z (about 3 years ago)
• Last Synced: 2024-09-29T13:40:59.112Z (about 2 months ago)
• Topics: golang, queue, redis
• Language: Go
• Size: 30.3 KB
• Stars: 74
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Queue

=========

[![Go Lang](http://kavehmz.github.io/static/gopher/gopher-front.svg)](https://golang.org/)

[![GoDoc](https://godoc.org/github.com/kavehmz/queue?status.svg)](https://godoc.org/github.com/kavehmz/queue)

![Build Status](https://github.com/kavehmz/queue/actions/workflows/go.yml/badge.svg?branch=master)

[![Coverage Status](https://coveralls.io/repos/kavehmz/queue/badge.svg?branch=master&service=github)](https://coveralls.io/github/kavehmz/queue?branch=master)

[![Go Report Card](https://goreportcard.com/badge/github.com/kavehmz/queue)](https://goreportcard.com/report/github.com/kavehmz/queue)

[![Gitter](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/kavehmz/queue)

A [Go](http://golang.org) library for managing queues on top of Redis.

It is based on a hiring exercise but later I found it useful for myself in a custom task processing project.

I thought it might be useful in general.

## Installation

```bash

$ go get github.com/kavehmz/queue

```

# Usage

```go

package main

import (

	"fmt"

	"time"

	"github.com/kavehmz/queue"

)

func main() {

	var q queue.Queue

	q.Urls([]string{"redis://localhost:6379"})

	q.AddTask(1, "start")

	q.AddTask(2, "start")

	q.AddTask(1, "stop")

	q.AddTask(2, "stop")

	analyzer := func(id int, task chan string, success chan bool) {

		for {

			select {

			case msg := <-task:

				fmt.Println(id, msg)

				if msg == "stop" {

					success <- true

					return

				}

			case <-time.After(2 * time.Second):

				fmt.Println("no new events for 2 seconds for ID", id)

				success <- false

				return

			}

		}

	}

	exitOnEmpty := func() bool {

		return true

	}

	q.AnalysePool(1, exitOnEmpty, analyzer)

}

```

## Approach

Focus of this design is mainly horizontal scalability via concurrency, partitioning and fault-detection.