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[ci skip] Update readme

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Ken Hibino 2020-01-20 15:17:41 -08:00
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README.md
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@ -1,6 +1,10 @@
# Asynq
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Simple and efficent asynchronous task processing library in Go.
@ -29,12 +33,12 @@ Asynq provides:
- Clear separation of task producer and consumer
- Ability to schedule task processing in the future
- Automatic retry of failed tasks with exponential backoff
- Automatic failover using Redis sentinels
- Ability to configure max retry count per task
- [Automatic failover](https://github.com/hibiken/asynq/wiki/Automatic-Failover) using Redis sentinels
- [Ability to configure](https://github.com/hibiken/asynq/wiki/Task-Retry) max retry count per task
- Ability to configure max number of worker goroutines to process tasks
- Support for priority queues
- Unix signal handling to gracefully shutdown background processing
- CLI tool to query and mutate queues state for mointoring and administrative purposes
- Support for [priority queues](https://github.com/hibiken/asynq/wiki/Priority-Queues)
- [Unix signal handling](https://github.com/hibiken/asynq/wiki/Signals) to gracefully shutdown background processing
- [CLI tool](/tools/asynqmon/README.md) to query and mutate queues state for mointoring and administrative purposes
## Requirements
@ -45,22 +49,35 @@ Asynq provides:
## Installation
To install both `asynq` library and `asynqmon` CLI tool, run the following command:
```
go get -u github.com/hibiken/asynq
go get -u github.com/hibiken/asynq/tools/asynqmon
```
## Getting Started
1. Import `asynq` in your file.
In this quick tour of `asynq`, we are going to create two programs.
- `producer.go` will create and schedule tasks to be processed asynchronously by the consumer.
- `consumer.go` will process the tasks created by the producer.
**This guide assumes that you are running a Redis server at `localhost:6379`**.
Before we start, make sure you have Redis installed and running.
1. Import `asynq` in both files.
```go
import "github.com/hibiken/asynq"
```
2. Asynq uses redis as a message broker.
2. Asynq uses Redis as a message broker.
Use one of `RedisConnOpt` types to specify how to connect to Redis.
We are going to use `RedisClientOpt` here.
```go
// both in producer.go and consumer.go
var redis = &asynq.RedisClientOpt{
Addr: "localhost:6379",
// Omit if no password is required
@ -71,9 +88,10 @@ var redis = &asynq.RedisClientOpt{
}
```
3. Create a `Client` instance to create and schedule tasks.
3. In `producer.go`, create a `Client` instance to create and schedule tasks.
```go
// producer.go
func main() {
client := asynq.NewClient(redis)
@ -88,32 +106,31 @@ func main() {
// Process the task immediately.
err := client.Schedule(t1, time.Now())
if err != nil {
log.Fatal(err)
}
// Process the task 24 hours later.
err = client.Schedule(t2, time.Now().Add(24 * time.Hour))
// Specify the max number of retry (default: 25)
err = client.Schedule(t1, time.Now(), asynq.MaxRetry(1))
if err != nil {
log.Fatal(err)
}
}
```
4. Create a `Background` instance to process tasks.
4. In `consumer.go`, create a `Background` instance to process tasks.
```go
// consumer.go
func main() {
bg := asynq.NewBackground(redis, &asynq.Config{
Concurrency: 10,
})
// Blocks until signal TERM or INT is received.
// For graceful shutdown, send signal TSTP to stop processing more tasks
// before sending TERM or INT signal to terminate the process.
bg.Run(handler)
}
```
Note that `Client` and `Background` are intended to be used in separate executable binaries.
The argument to `(*asynq.Background).Run` is an interface `asynq.Handler` which has one method `ProcessTask`.
```go
@ -137,9 +154,14 @@ func handler(t *asynq.Task) error {
if err != nil {
return err
}
fmt.Printf("Send Welcome Email to %d\n", id)
fmt.Printf("Send Welcome Email to User %d\n", id)
// ... handle other types ...
case "send_reminder_email":
id, err := t.Payload.GetInt("user_id")
if err != nil {
return err
}
fmt.Printf("Send Reminder Email to User %d\n", id)
default:
return fmt.Errorf("unexpected task type: %s", t.Type)
@ -157,6 +179,94 @@ func main() {
}
```
We could kep adding cases to this handler function, but in a realistic application, it's convenient to define the logic for each case in a separate function.
To refactor our code, let's create a simple dispatcher which maps task type to its handler.
```go
// consumer.go
// Dispatcher is used to dispatch tasks to registered handlers.
type Dispatcher struct {
mapping map[string]asynq.HandlerFunc
}
// HandleFunc registers a task handler
func (d *Dispatcher) HandleFunc(taskType string, fn asynq.HandlerFunc) {
d.mapping[taskType] = fn
}
// ProcessTask processes a task.
//
// NOTE: Dispatcher satisfies asynq.Handler interface.
func (d *Dispatcher) ProcessTask(task *asynq.Task) error {
fn, ok := d.mapping[task.Type]
if !ok {
return fmt.Errorf("no handler registered for %q", task.Type)
}
return fn(task)
}
func main() {
d := &Dispatcher{mapping: make(map[string]asynq.HandlerFunc)}
d.HandleFunc("send_welcome_email", sendWelcomeEmail)
d.HandleFunc("send_reminder_email", sendReminderEmail)
bg := asynq.NewBackground(redis, &asynq.Config{
Concurrency: 10,
})
bg.Run(d)
}
func sendWelcomeEmail(t *asynq.Task) error {
id, err := t.Payload.GetInt("user_id")
if err != nil {
return err
}
fmt.Printf("Send Welcome Email to User %d\n", id)
return nil
}
func sendReminderEmail(t *asynq.Task) error {
id, err := t.Payload.GetInt("user_id")
if err != nil {
return err
}
fmt.Printf("Send Welcome Email to User %d\n", id)
return nil
}
```
Now that we have both task producer and consumer, we can run both programs.
```sh
go run consumer.go
```
**Note**: This will not exit until you send a signal to terminate the program. See [Signal Wiki page](https://github.com/hibiken/asynq/wiki/Signals) for best practice on how to safely terminate background processing.
With our consumer running, also run
```sh
go run producer.go
```
This will create a task and the first task will get processed immediately by the consumer. The second task will be processed 24 hours later.
Let's use `asynqmon` tool to inspect the tasks.
```sh
asynqmon stats
```
This command will show the number of tasks in each state and stats for the current date as well as redis information.
To understand the meaning of each state, see [Life of a Task Wiki page](https://github.com/hibiken/asynq/wiki/Life-of-a-Task).
For in-depth guide on `asynqmon` tool, see the [README](/tools/asynqmon/README.md) for the CLI.
This was a quick tour of `asynq` basics. To see all of its features such as **[priority queues](https://github.com/hibiken/asynq/wiki/Priority-Queues)** and **[custom retry](https://github.com/hibiken/asynq/wiki/Task-Retry)**, see [the Wiki page](https://github.com/hibiken/asynq/wiki).
## Monitoring CLI
Asynq ships with a CLI tool to inspect the state of queues and tasks.