# Simple, reliable & efficient distributed task queue in Go [](https://godoc.org/github.com/hibiken/asynq) [](https://goreportcard.com/report/github.com/hibiken/asynq)  [](https://opensource.org/licenses/MIT) [](https://gitter.im/go-asynq/community) 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. Highlevel overview of how Asynq works: - Client puts tasks on a queue - Server pulls tasks off queues and starts a worker goroutine for each task - Tasks are processed concurrently by multiple workers 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. **Example use case**  ## Features - Guaranteed [at least one execution](https://www.cloudcomputingpatterns.org/at_least_once_delivery/) of a task - Scheduling of tasks - [Retries](https://github.com/hibiken/asynq/wiki/Task-Retry) of failed tasks - Automatic recovery of tasks in the event of a worker crash - [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) - Low latency to add a task since writes are fast in Redis - De-duplication of tasks using [unique option](https://github.com/hibiken/asynq/wiki/Unique-Tasks) - Allow [timeout and deadline per task](https://github.com/hibiken/asynq/wiki/Task-Timeout-and-Cancelation) - Allow [aggregating group of tasks](https://github.com/hibiken/asynq/wiki/Task-aggregation) to batch multiple successive operations - [Flexible handler interface with support for middlewares](https://github.com/hibiken/asynq/wiki/Handler-Deep-Dive) - [Ability to pause queue](/tools/asynq/README.md#pause) to stop processing tasks from the queue - [Periodic Tasks](https://github.com/hibiken/asynq/wiki/Periodic-Tasks) - [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 - Integration with [Prometheus](https://prometheus.io/) to collect and visualize queue metrics - [Web UI](#web-ui) to inspect and remote-control queues and tasks - [CLI](#command-line-tool) to inspect and remote-control queues and tasks ## Stability and Compatibility **Status**: The library relatively stable and is currently undergoing **moderate development** with less frequent breaking API changes. > ☝️ **Important Note**: Current major version is zero (`v0.x.x`) to accommodate 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. ## Sponsoring If you are using this package in production, **please consider sponsoring the project to show your support!** ## Quickstart Make sure you have Go installed ([download](https://golang.org/dl/)). The **last two** Go versions are supported (See https://go.dev/dl). 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: ```sh go get -u github.com/hibiken/asynq ``` 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. Next, write a package that encapsulates task creation and task handling. ```go package tasks import ( "context" "encoding/json" "fmt" "log" "time" "github.com/hibiken/asynq" ) // A list of task types. const ( TypeEmailDelivery = "email:deliver" TypeImageResize = "image:resize" ) type EmailDeliveryPayload struct { UserID int TemplateID string } type ImageResizePayload struct { SourceURL string } //---------------------------------------------- // Write a function NewXXXTask to create a task. // A task consists of a type and a payload. //---------------------------------------------- func NewEmailDeliveryTask(userID int, tmplID string) (*asynq.Task, error) { payload, err := json.Marshal(EmailDeliveryPayload{UserID: userID, TemplateID: tmplID}) if err != nil { return nil, err } return asynq.NewTask(TypeEmailDelivery, payload), nil } func NewImageResizeTask(src string) (*asynq.Task, error) { payload, err := json.Marshal(ImageResizePayload{SourceURL: src}) if err != nil { return nil, err } // 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 } //--------------------------------------------------------------- // Write a function HandleXXXTask to handle the input task. // Note that it satisfies the asynq.HandlerFunc interface. // // Handler doesn't need to be a function. You can define a type // that satisfies asynq.Handler interface. See examples below. //--------------------------------------------------------------- func HandleEmailDeliveryTask(ctx context.Context, t *asynq.Task) error { var p EmailDeliveryPayload if err := json.Unmarshal(t.Payload(), &p); err != nil { return fmt.Errorf("json.Unmarshal failed: %v: %w", err, asynq.SkipRetry) } log.Printf("Sending Email to User: user_id=%d, template_id=%s", p.UserID, p.TemplateID) // Email delivery code ... return nil } // ImageProcessor implements asynq.Handler interface. type ImageProcessor struct { // ... fields for struct } func (processor *ImageProcessor) ProcessTask(ctx context.Context, t *asynq.Task) error { var p ImageResizePayload if err := json.Unmarshal(t.Payload(), &p); err != nil { return fmt.Errorf("json.Unmarshal failed: %v: %w", err, asynq.SkipRetry) } log.Printf("Resizing image: src=%s", p.SourceURL) // Image resizing code ... return nil } func NewImageProcessor() *ImageProcessor { return &ImageProcessor{} } ``` 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. ```go package main import ( "log" "time" "github.com/hibiken/asynq" "your/app/package/tasks" ) const redisAddr = "127.0.0.1:6379" func main() { client := asynq.NewClient(asynq.RedisClientOpt{Addr: redisAddr}) defer client.Close() // ------------------------------------------------------ // Example 1: Enqueue task to be processed immediately. // Use (*Client).Enqueue method. // ------------------------------------------------------ task, err := tasks.NewEmailDeliveryTask(42, "some:template:id") if err != nil { log.Fatalf("could not create task: %v", err) } info, err := client.Enqueue(task) if err != nil { log.Fatalf("could not enqueue task: %v", err) } log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue) // ------------------------------------------------------------ // Example 2: Schedule task to be processed in the future. // Use ProcessIn or ProcessAt option. // ------------------------------------------------------------ info, err = client.Enqueue(task, asynq.ProcessIn(24*time.Hour)) if err != nil { log.Fatalf("could not schedule task: %v", err) } log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue) // ---------------------------------------------------------------------------- // Example 3: Set other options to tune task processing behavior. // Options include MaxRetry, Queue, Timeout, Deadline, Unique etc. // ---------------------------------------------------------------------------- task, err = tasks.NewImageResizeTask("https://example.com/myassets/image.jpg") if err != nil { log.Fatalf("could not create task: %v", err) } info, err = client.Enqueue(task, asynq.MaxRetry(10), asynq.Timeout(3 * time.Minute)) if err != nil { log.Fatalf("could not enqueue task: %v", err) } log.Printf("enqueued task: id=%s queue=%s", info.ID, info.Queue) } ``` 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. 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. ```go package main import ( "log" "github.com/hibiken/asynq" "your/app/package/tasks" ) const redisAddr = "127.0.0.1:6379" func main() { srv := asynq.NewServer( asynq.RedisClientOpt{Addr: redisAddr}, 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 }, ) // mux maps a type to a handler mux := asynq.NewServeMux() mux.HandleFunc(tasks.TypeEmailDelivery, tasks.HandleEmailDeliveryTask) mux.Handle(tasks.TypeImageResize, tasks.NewImageProcessor()) // ...register other handlers... if err := srv.Run(mux); err != nil { log.Fatalf("could not run server: %v", err) } } ``` For a more detailed walk-through of the library, see our [Getting Started](https://github.com/hibiken/asynq/wiki/Getting-Started) guide. To learn more about `asynq` features and APIs, see the package [godoc](https://godoc.org/github.com/hibiken/asynq). ## Web UI [Asynqmon](https://github.com/hibiken/asynqmon) is a web based tool for monitoring and administrating Asynq queues and tasks. Here's a few screenshots of the Web UI: **Queues view**  **Tasks view**  **Metrics view** **Settings and adaptive dark mode**  For details on how to use the tool, refer to the tool's [README](https://github.com/hibiken/asynqmon#readme). ## Command Line Tool Asynq ships with a command line tool to inspect the state of queues and tasks. To install the CLI tool, run the following command: ```sh go install github.com/hibiken/asynq/tools/asynq@latest ``` Here's an example of running the `asynq dash` command:  For details on how to use the tool, refer to the tool's [README](/tools/asynq/README.md). ## Contributing 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. Please see the [Contribution Guide](/CONTRIBUTING.md) before contributing. ## License 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).