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Queue

CodeQL Run Tests codecov

Queue is a Golang library for spawning and managing a Goroutine pool, allowing you to create multiple workers based on the limited CPU capacity of the machine.

Features

  • Supports buffered channel queues.
  • Supports NSQ (a real-time distributed messaging platform) as a backend.
  • Supports NATS (connective technology for adaptive edge and distributed systems) as a backend.
  • Supports Redis Pub/Sub as a backend.
  • Supports Redis Streams as a backend.
  • Supports RabbitMQ as a backend.

Queue Scenario

A simple queue service using a ring buffer as the default backend.

queue01

Easily switch the queue service to use NSQ, NATS, or Redis.

queue02

Supports multiple producers and consumers.

queue03

Requirements

Go version 1.22 or above

Installation

Install the stable version:

go get github.com/golang-queue/queue

Install the latest version:

go get github.com/golang-queue/queue@master

Usage

Basic Usage of Pool (using the Task function)

By calling the QueueTask() method, tasks are scheduled to be executed by workers (goroutines) in the pool.

package main

import (
  "context"
  "fmt"
  "time"

  "github.com/golang-queue/queue"
)

func main() {
  taskN := 100
  rets := make(chan string, taskN)

  // initial queue pool
  q := queue.NewPool(5)
  // shutdown the service and notify all the worker
  // wait all jobs are complete.
  defer q.Release()

  // assign tasks in queue
  for i := 0; i < taskN; i++ {
    go func(i int) {
      if err := q.QueueTask(func(ctx context.Context) error {
        rets <- fmt.Sprintf("Hi Gopher, handle the job: %02d", +i)
        return nil
      }); err != nil {
        panic(err)
      }
    }(i)
  }

  // wait until all tasks done
  for i := 0; i < taskN; i++ {
    fmt.Println("message:", <-rets)
    time.Sleep(20 * time.Millisecond)
  }
}

Basic Usage of Pool (using a message queue)

Define a new message struct and implement the Bytes() function to encode the message. Use the WithFn function to handle the message from the queue.

package main

import (
  "context"
  "encoding/json"
  "fmt"
  "log"
  "time"

  "github.com/golang-queue/queue"
  "github.com/golang-queue/queue/core"
)

type job struct {
  Name    string
  Message string
}

func (j *job) Bytes() []byte {
  b, err := json.Marshal(j)
  if err != nil {
    panic(err)
  }
  return b
}

func main() {
  taskN := 100
  rets := make(chan string, taskN)

  // initial queue pool
  q := queue.NewPool(5, queue.WithFn(func(ctx context.Context, m core.TaskMessage) error {
    var v job
    if err := json.Unmarshal(m.Payload(), &v); err != nil {
      return err
    }

    rets <- "Hi, " + v.Name + ", " + v.Message
    return nil
  }))
  // shutdown the service and notify all the worker
  // wait all jobs are complete.
  defer q.Release()

  // assign tasks in queue
  for i := 0; i < taskN; i++ {
    go func(i int) {
      if err := q.Queue(&job{
        Name:    "Gopher",
        Message: fmt.Sprintf("handle the job: %d", i+1),
      }); err != nil {
        log.Println(err)
      }
    }(i)
  }

  // wait until all tasks done
  for i := 0; i < taskN; i++ {
    fmt.Println("message:", <-rets)
    time.Sleep(50 * time.Millisecond)
  }
}

Using NSQ as a Queue

Refer to the NSQ documentation.

package main

import (
  "context"
  "encoding/json"
  "fmt"
  "log"
  "time"

  "github.com/golang-queue/nsq"
  "github.com/golang-queue/queue"
  "github.com/golang-queue/queue/core"
)

type job struct {
  Message string
}

func (j *job) Bytes() []byte {
  b, err := json.Marshal(j)
  if err != nil {
    panic(err)
  }
  return b
}

func main() {
  taskN := 100
  rets := make(chan string, taskN)

  // define the worker
  w := nsq.NewWorker(
    nsq.WithAddr("127.0.0.1:4150"),
    nsq.WithTopic("example"),
    nsq.WithChannel("foobar"),
    // concurrent job number
    nsq.WithMaxInFlight(10),
    nsq.WithRunFunc(func(ctx context.Context, m core.TaskMessage) error {
      var v job
      if err := json.Unmarshal(m.Payload(), &v); err != nil {
        return err
      }

      rets <- v.Message
      return nil
    }),
  )

  // define the queue
  q := queue.NewPool(
    5,
    queue.WithWorker(w),
  )

  // assign tasks in queue
  for i := 0; i < taskN; i++ {
    go func(i int) {
      q.Queue(&job{
        Message: fmt.Sprintf("handle the job: %d", i+1),
      })
    }(i)
  }

  // wait until all tasks done
  for i := 0; i < taskN; i++ {
    fmt.Println("message:", <-rets)
    time.Sleep(50 * time.Millisecond)
  }

  // shutdown the service and notify all the worker
  q.Release()
}

Using NATS as a Queue

Refer to the NATS documentation.

package main

import (
  "context"
  "encoding/json"
  "fmt"
  "log"
  "time"

  "github.com/golang-queue/nats"
  "github.com/golang-queue/queue"
  "github.com/golang-queue/queue/core"
)

type job struct {
  Message string
}

func (j *job) Bytes() []byte {
  b, err := json.Marshal(j)
  if err != nil {
    panic(err)
  }
  return b
}

func main() {
  taskN := 100
  rets := make(chan string, taskN)

  // define the worker
  w := nats.NewWorker(
    nats.WithAddr("127.0.0.1:4222"),
    nats.WithSubj("example"),
    nats.WithQueue("foobar"),
    nats.WithRunFunc(func(ctx context.Context, m core.TaskMessage) error {
      var v job
      if err := json.Unmarshal(m.Payload(), &v); err != nil {
        return err
      }

      rets <- v.Message
      return nil
    }),
  )

  // define the queue
  q, err := queue.NewQueue(
    queue.WithWorkerCount(10),
    queue.WithWorker(w),
  )
  if err != nil {
    log.Fatal(err)
  }

  // start the five worker
  q.Start()

  // assign tasks in queue
  for i := 0; i < taskN; i++ {
    go func(i int) {
      q.Queue(&job{
        Message: fmt.Sprintf("handle the job: %d", i+1),
      })
    }(i)
  }

  // wait until all tasks done
  for i := 0; i < taskN; i++ {
    fmt.Println("message:", <-rets)
    time.Sleep(50 * time.Millisecond)
  }

  // shutdown the service and notify all the worker
  q.Release()
}

Using Redis (Pub/Sub) as a Queue

Refer to the Redis documentation.

package main

import (
  "context"
  "encoding/json"
  "fmt"
  "log"
  "time"

  "github.com/golang-queue/queue"
  "github.com/golang-queue/queue/core"
  "github.com/golang-queue/redisdb"
)

type job struct {
  Message string
}

func (j *job) Bytes() []byte {
  b, err := json.Marshal(j)
  if err != nil {
    panic(err)
  }
  return b
}

func main() {
  taskN := 100
  rets := make(chan string, taskN)

  // define the worker
  w := redisdb.NewWorker(
    redisdb.WithAddr("127.0.0.1:6379"),
    redisdb.WithChannel("foobar"),
    redisdb.WithRunFunc(func(ctx context.Context, m core.TaskMessage) error {
      var v job
      if err := json.Unmarshal(m.Payload(), &v); err != nil {
        return err
      }

      rets <- v.Message
      return nil
    }),
  )

  // define the queue
  q, err := queue.NewQueue(
    queue.WithWorkerCount(10),
    queue.WithWorker(w),
  )
  if err != nil {
    log.Fatal(err)
  }

  // start the five worker
  q.Start()

  // assign tasks in queue
  for i := 0; i < taskN; i++ {
    go func(i int) {
      q.Queue(&job{
        Message: fmt.Sprintf("handle the job: %d", i+1),
      })
    }(i)
  }

  // wait until all tasks done
  for i := 0; i < taskN; i++ {
    fmt.Println("message:", <-rets)
    time.Sleep(50 * time.Millisecond)
  }

  // shutdown the service and notify all the worker
  q.Release()
}

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Queue is a Golang library for spawning and managing a Goroutine pool

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