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316 lines
13 KiB
Markdown
316 lines
13 KiB
Markdown
<img src="https://user-images.githubusercontent.com/11155743/114697792-ffbfa580-9d26-11eb-8e5b-33bef69476dc.png" alt="Asynq logo" width="360px" />
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# Simple, reliable & efficient distributed task queue in Go
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[](https://godoc.org/github.com/hibiken/asynq)
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[](https://goreportcard.com/report/github.com/hibiken/asynq)
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[](https://opensource.org/licenses/MIT)
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[](https://gitter.im/go-asynq/community)
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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
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- 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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## 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)
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- [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
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- [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
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**Status**: The library is currently undergoing **heavy development** with frequent, breaking API changes.
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> ☝️ **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.
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## Sponsoring
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If you are using this package in production, **please consider sponsoring the project to show your support!**
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## Quickstart
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Make sure you have Go installed ([download](https://golang.org/dl/)). Latest two Go versions are supported (See https://go.dev/dl).
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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
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import (
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"context"
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"encoding/json"
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"fmt"
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"log"
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"time"
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"github.com/hibiken/asynq"
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)
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// A list of task types.
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const (
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TypeEmailDelivery = "email:deliver"
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TypeImageResize = "image:resize"
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)
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type EmailDeliveryPayload struct {
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UserID int
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TemplateID string
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}
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type ImageResizePayload struct {
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SourceURL string
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}
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//----------------------------------------------
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// Write a function NewXXXTask to create a task.
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// A task consists of a type and a payload.
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//----------------------------------------------
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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 {
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return nil, err
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}
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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 {
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return nil, err
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}
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// task options can be passed to NewTask, which can be overridden at enqueue time.
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return asynq.NewTask(TypeImageResize, payload, asynq.MaxRetry(5), asynq.Timeout(20 * time.Minute)), nil
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}
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//---------------------------------------------------------------
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// Write a function HandleXXXTask to handle the input task.
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// Note that it satisfies the asynq.HandlerFunc interface.
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//
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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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//---------------------------------------------------------------
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func HandleEmailDeliveryTask(ctx context.Context, t *asynq.Task) error {
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var p EmailDeliveryPayload
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if err := json.Unmarshal(t.Payload(), &p); err != nil {
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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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}
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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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}
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func (processor *ImageProcessor) ProcessTask(ctx context.Context, t *asynq.Task) error {
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var p ImageResizePayload
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if err := json.Unmarshal(t.Payload(), &p); err != nil {
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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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}
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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
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package main
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import (
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"log"
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"time"
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"github.com/hibiken/asynq"
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"your/app/package/tasks"
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)
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const redisAddr = "127.0.0.1:6379"
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func main() {
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client := asynq.NewClient(asynq.RedisClientOpt{Addr: redisAddr})
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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 {
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log.Fatalf("could not create task: %v", err)
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}
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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 {
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log.Fatalf("could not create task: %v", err)
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}
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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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```
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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"
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"your/app/package/tasks"
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)
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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{
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// Specify how many concurrent workers to use
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Concurrency: 10,
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// Optionally specify multiple queues with different priority.
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Queues: map[string]int{
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"critical": 6,
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"default": 3,
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"low": 1,
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},
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// 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)
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mux.Handle(tasks.TypeImageResize, tasks.NewImageProcessor())
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// ...register other handlers...
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if err := srv.Run(mux); err != nil {
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log.Fatalf("could not run server: %v", err)
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}
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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
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[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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**Tasks view**
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**Metrics view**
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<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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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@latest
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```
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Here's an example of running the `asynq dash` command:
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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).
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