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< img src = "https://user-images.githubusercontent.com/11155743/114697792-ffbfa580-9d26-11eb-8e5b-33bef69476dc.png" alt = "Asynq logo" width = "360px" / >
# Simple, reliable & efficient distributed task queue in Go
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[![GoDoc ](https://godoc.org/github.com/hibiken/asynq?status.svg )](https://godoc.org/github.com/hibiken/asynq)
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[![Go Report Card ](https://goreportcard.com/badge/github.com/hibiken/asynq )](https://goreportcard.com/report/github.com/hibiken/asynq)
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![Build Status ](https://github.com/hibiken/asynq/workflows/build/badge.svg )
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[![License: MIT ](https://img.shields.io/badge/license-MIT-green.svg )](https://opensource.org/licenses/MIT)
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[![Gitter chat ](https://badges.gitter.im/go-asynq/gitter.svg )](https://gitter.im/go-asynq/community)
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[[中文文档]](/docs/i18n/zh_CN/README.md)
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Asynq is a Go library for queueing tasks and processing them asynchronously with workers. It's backed by [Redis ](https://redis.io/ ) and is designed to be scalable yet easy to get started.
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Highlevel overview of how Asynq works:
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- Client puts tasks on a queue
- Server pulls tasks off queues and starts a worker goroutine for each task
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- Tasks are processed concurrently by multiple workers
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Task queues are used as a mechanism to distribute work across multiple machines. A system can consist of multiple worker servers and brokers, giving way to high availability and horizontal scaling.
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**Example use case**
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![Task Queue Diagram ](https://user-images.githubusercontent.com/11155743/116358505-656f5f80-a806-11eb-9c16-94e49dab0f99.jpg )
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## Features
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- Guaranteed [at least one execution ](https://www.cloudcomputingpatterns.org/at_least_once_delivery/ ) of a task
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- Scheduling of tasks
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- [Retries ](https://github.com/hibiken/asynq/wiki/Task-Retry ) of failed tasks
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- Automatic recovery of tasks in the event of a worker crash
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- [Weighted priority queues ](https://github.com/hibiken/asynq/wiki/Queue-Priority#weighted-priority )
- [Strict priority queues ](https://github.com/hibiken/asynq/wiki/Queue-Priority#strict-priority )
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- Low latency to add a task since writes are fast in Redis
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- De-duplication of tasks using [unique option ](https://github.com/hibiken/asynq/wiki/Unique-Tasks )
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- Allow [timeout and deadline per task ](https://github.com/hibiken/asynq/wiki/Task-Timeout-and-Cancelation )
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- Allow [aggregating group of tasks ](https://github.com/hibiken/asynq/wiki/Task-aggregation ) to batch multiple successive operations
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- [Flexible handler interface with support for middlewares ](https://github.com/hibiken/asynq/wiki/Handler-Deep-Dive )
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- [Ability to pause queue ](/tools/asynq/README.md#pause ) to stop processing tasks from the queue
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- [Periodic Tasks ](https://github.com/hibiken/asynq/wiki/Periodic-Tasks )
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- [Support Redis Cluster ](https://github.com/hibiken/asynq/wiki/Redis-Cluster ) for automatic sharding and high availability
- [Support Redis Sentinels ](https://github.com/hibiken/asynq/wiki/Automatic-Failover ) for high availability
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- Integration with [Prometheus ](https://prometheus.io/ ) to collect and visualize queue metrics
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- [Web UI ](#web-ui ) to inspect and remote-control queues and tasks
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- [CLI ](#command-line-tool ) to inspect and remote-control queues and tasks
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## Stability and Compatibility
**Status**: The library is currently undergoing **heavy development** with frequent, breaking API changes.
> ☝️ **Important Note**: Current major version is zero (`v0.x.x`) to accomodate rapid development and fast iteration while getting early feedback from users (_feedback on APIs are appreciated!_). The public API could change without a major version update before `v1.0.0` release.
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## Quickstart
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Make sure you have Go installed ([download](https://golang.org/dl/)). Version `1.14` or higher is required.
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Initialize your project by creating a folder and then running `go mod init github.com/your/repo` ([learn more](https://blog.golang.org/using-go-modules)) inside the folder. Then install Asynq library with the [`go get` ](https://golang.org/cmd/go/#hdr-Add_dependencies_to_current_module_and_install_them ) command:
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```sh
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go get -u github.com/hibiken/asynq
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```
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Make sure you're running a Redis server locally or from a [Docker ](https://hub.docker.com/_/redis ) container. Version `4.0` or higher is required.
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Next, write a package that encapsulates task creation and task handling.
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```go
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package tasks
import (
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"context"
"encoding/json"
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"fmt"
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"log"
"time"
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"github.com/hibiken/asynq"
)
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// A list of task types.
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const (
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TypeEmailDelivery = "email:deliver"
TypeImageResize = "image:resize"
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)
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type EmailDeliveryPayload struct {
UserID int
TemplateID string
}
type ImageResizePayload struct {
SourceURL string
}
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//----------------------------------------------
// Write a function NewXXXTask to create a task.
// A task consists of a type and a payload.
//----------------------------------------------
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func NewEmailDeliveryTask(userID int, tmplID string) (*asynq.Task, error) {
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payload, err := json.Marshal(EmailDeliveryPayload{UserID: userID, TemplateID: tmplID})
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if err != nil {
return nil, err
}
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return asynq.NewTask(TypeEmailDelivery, payload), nil
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}
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func NewImageResizeTask(src string) (*asynq.Task, error) {
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payload, err := json.Marshal(ImageResizePayload{SourceURL: src})
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if err != nil {
return nil, err
}
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// task options can be passed to NewTask, which can be overridden at enqueue time.
return asynq.NewTask(TypeImageResize, payload, asynq.MaxRetry(5), asynq.Timeout(20 * time.Minute)), nil
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}
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//---------------------------------------------------------------
// Write a function HandleXXXTask to handle the input task.
// Note that it satisfies the asynq.HandlerFunc interface.
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//
// Handler doesn't need to be a function. You can define a type
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// that satisfies asynq.Handler interface. See examples below.
//---------------------------------------------------------------
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func HandleEmailDeliveryTask(ctx context.Context, t *asynq.Task) error {
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var p EmailDeliveryPayload
if err := json.Unmarshal(t.Payload(), &p); err != nil {
return fmt.Errorf("json.Unmarshal failed: %v: %w", err, asynq.SkipRetry)
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}
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log.Printf("Sending Email to User: user_id=%d, template_id=%s", p.UserID, p.TemplateID)
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// Email delivery code ...
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return nil
}
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// ImageProcessor implements asynq.Handler interface.
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type ImageProcessor struct {
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// ... fields for struct
}
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func (processor *ImageProcessor) ProcessTask(ctx context.Context, t *asynq.Task) error {
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var p ImageResizePayload
if err := json.Unmarshal(t.Payload(), &p); err != nil {
return fmt.Errorf("json.Unmarshal failed: %v: %w", err, asynq.SkipRetry)
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}
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log.Printf("Resizing image: src=%s", p.SourceURL)
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// Image resizing code ...
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return nil
}
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func NewImageProcessor() *ImageProcessor {
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return & ImageProcessor{}
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}
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```
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In your application code, import the above package and use [`Client` ](https://pkg.go.dev/github.com/hibiken/asynq?tab=doc#Client ) to put tasks on queues.
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```go
package main
import (
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"log"
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"time"
"github.com/hibiken/asynq"
"your/app/package/tasks"
)
const redisAddr = "127.0.0.1:6379"
func main() {
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client := asynq.NewClient(asynq.RedisClientOpt{Addr: redisAddr})
defer client.Close()
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// ------------------------------------------------------
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// Example 1: Enqueue task to be processed immediately.
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// Use (*Client).Enqueue method.
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// ------------------------------------------------------
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task, err := tasks.NewEmailDeliveryTask(42, "some:template:id")
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if err != nil {
log.Fatalf("could not create task: %v", err)
}
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info, err := client.Enqueue(task)
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if err != nil {
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log.Fatalf("could not enqueue task: %v", err)
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}
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log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue)
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// ------------------------------------------------------------
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// Example 2: Schedule task to be processed in the future.
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// Use ProcessIn or ProcessAt option.
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// ------------------------------------------------------------
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info, err = client.Enqueue(task, asynq.ProcessIn(24*time.Hour))
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if err != nil {
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log.Fatalf("could not schedule task: %v", err)
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}
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log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue)
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// ----------------------------------------------------------------------------
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// Example 3: Set other options to tune task processing behavior.
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// Options include MaxRetry, Queue, Timeout, Deadline, Unique etc.
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// ----------------------------------------------------------------------------
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task, err = tasks.NewImageResizeTask("https://example.com/myassets/image.jpg")
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if err != nil {
log.Fatalf("could not create task: %v", err)
}
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info, err = client.Enqueue(task, asynq.MaxRetry(10), asynq.Timeout(3 * time.Minute))
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if err != nil {
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log.Fatalf("could not enqueue task: %v", err)
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}
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log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue)
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}
```
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Next, start a worker server to process these tasks in the background. To start the background workers, use [`Server` ](https://pkg.go.dev/github.com/hibiken/asynq?tab=doc#Server ) and provide your [`Handler` ](https://pkg.go.dev/github.com/hibiken/asynq?tab=doc#Handler ) to process the tasks.
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You can optionally use [`ServeMux` ](https://pkg.go.dev/github.com/hibiken/asynq?tab=doc#ServeMux ) to create a handler, just as you would with [`net/http` ](https://golang.org/pkg/net/http/ ) Handler.
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```go
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package main
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import (
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"log"
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"github.com/hibiken/asynq"
"your/app/package/tasks"
)
const redisAddr = "127.0.0.1:6379"
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func main() {
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srv := asynq.NewServer(
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asynq.RedisClientOpt{Addr: redisAddr},
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asynq.Config{
// Specify how many concurrent workers to use
Concurrency: 10,
// Optionally specify multiple queues with different priority.
Queues: map[string]int{
"critical": 6,
"default": 3,
"low": 1,
},
// See the godoc for other configuration options
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},
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)
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// mux maps a type to a handler
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mux := asynq.NewServeMux()
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mux.HandleFunc(tasks.TypeEmailDelivery, tasks.HandleEmailDeliveryTask)
mux.Handle(tasks.TypeImageResize, tasks.NewImageProcessor())
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// ...register other handlers...
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if err := srv.Run(mux); err != nil {
log.Fatalf("could not run server: %v", err)
}
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}
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```
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For a more detailed walk-through of the library, see our [Getting Started ](https://github.com/hibiken/asynq/wiki/Getting-Started ) guide.
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To learn more about `asynq` features and APIs, see the package [godoc ](https://godoc.org/github.com/hibiken/asynq ).
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## Web UI
[Asynqmon ](https://github.com/hibiken/asynqmon ) is a web based tool for monitoring and administrating Asynq queues and tasks.
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Here's a few screenshots of the Web UI:
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**Queues view**
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![Web UI Queues View ](https://user-images.githubusercontent.com/11155743/114697016-07327f00-9d26-11eb-808c-0ac841dc888e.png )
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**Tasks view**
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![Web UI TasksView ](https://user-images.githubusercontent.com/11155743/114697070-1f0a0300-9d26-11eb-855c-d3ec263865b7.png )
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**Metrics view**
< img width = "1532" alt = "Screen Shot 2021-12-19 at 4 37 19 PM" src = "https://user-images.githubusercontent.com/10953044/146777420-cae6c476-bac6-469c-acce-b2f6584e8707.png" >
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**Settings and adaptive dark mode**
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![Web UI Settings and adaptive dark mode ](https://user-images.githubusercontent.com/11155743/114697149-3517c380-9d26-11eb-9f7a-ae2dd00aad5b.png )
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For details on how to use the tool, refer to the tool's [README ](https://github.com/hibiken/asynqmon#readme ).
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## Command Line Tool
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Asynq ships with a command line tool to inspect the state of queues and tasks.
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To install the CLI tool, run the following command:
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```sh
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go install github.com/hibiken/asynq/tools/asynq
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```
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Here's an example of running the `asynq dash` command:
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![Gif ](/docs/assets/dash.gif )
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For details on how to use the tool, refer to the tool's [README ](/tools/asynq/README.md ).
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## Contributing
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We are open to, and grateful for, any contributions (GitHub issues/PRs, feedback on [Gitter channel ](https://gitter.im/go-asynq/community ), etc) made by the community.
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Please see the [Contribution Guide ](/CONTRIBUTING.md ) before contributing.
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## License
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Copyright (c) 2019-present [Ken Hibino ](https://github.com/hibiken ) and [Contributors ](https://github.com/hibiken/asynq/graphs/contributors ). `Asynq` is free and open-source software licensed under the [MIT License ](https://github.com/hibiken/asynq/blob/master/LICENSE ). Official logo was created by [Vic Shóstak ](https://github.com/koddr ) and distributed under [Creative Commons ](https://creativecommons.org/publicdomain/zero/1.0/ ) license (CC0 1.0 Universal).