Redis Cluster
This wiki page describes how to use Redis Cluster as a message broker with Asynq. This wiki assumes that you've read Redis Cluster Tutorial, and you have 6 instance Redis Cluster running locally as described in the tutorial.
With Redis cluster, you get
- Ability to easily shard data across multiple Redis nodes
- Ability to stay available when some nodes are failing
- Ability to automatically failover
Asynq shards data by queue.
In the above diagram, we have 6-instance Redis Cluster (3 masters, 3 slaves) and 4 queues (q1, q2, q3, q4).
- Master1 (and its replica Slave1) hosts q1 and q2.
- Master2 (and its replica Slave2) hosts q3.
- Master3 (and its replica Slave3) hosts q4.
When you enqueue a task using asynq.Client you can specify the queue with the Queue option.
The enqueued tasks will be consumed by asynq.Server(s) that are pulling tasks from those queues.
In this section, we are going to look at how to use Redis Cluster as a message broker with Asynq.
We assume that you are running 6-instance Redis cluster on port 7000-7005 as described in this Redis Cluster Tutorial.
Here's an example redis.conf file:
port 7000
cluster-enabled yes
cluster-config-file nodes.conf
cluster-node-timeout 5000
appendonly yes
Next, we are going to create two binaries: client and worker.
go mod init asynq-redis-cluster-quickstart
mkdir client worker
touch client/client.go worker/worker.goIn client.go, we are going to create a new asynq.Client and specify how to connect to Redis Cluster by passing RedisClusterClientOpt.
client := asynq.NewClient(asynq.RedisClusterClientOpt{
Addrs: []string{":7000", ":7001", ":7002", ":7003", ":7004", ":7005"},
})Once we have the client, we are going to create tasks and enqueue them to three different queues:
- notifications
- webhooks
- images
// client.go
package main
import (
"fmt"
"log"
"github.com/hibiken/asynq"
)
// List of queue names.
const (
QueueNotifications = "notifications"
QueueWebhooks = "webhooks"
QueueImages = "images"
)
func main() {
client := asynq.NewClient(asynq.RedisClusterClientOpt{
Addrs: []string{":7000", ":7001", ":7002", ":7003", ":7004", ":7005"},
})
defer client.Close()
// Create "notifications:email" task and enqueue it to "notifications" queue.
task := asynq.NewTask("notifications:email", map[string]interface{}{"to": 123, "from": 456})
res, err := client.Enqueue(task, asynq.Queue(QueueNotifications))
if err != nil {
log.Fatal(err)
}
fmt.Printf("successfully enqueued: %+v\n", res)
// Create "webhooks:sync" task and enqueue it to "webhooks" queue.
task = asynq.NewTask("webhooks:sync", map[string]interface{}{"data": 123})
res, err = client.Enqueue(task, asynq.Queue(QueueWebhooks))
if err != nil {
log.Fatal(err)
}
fmt.Printf("successfully enqueued: %+v\n", res)
// Create "images:resize" task and enqueue it to "images" queue.
task = asynq.NewTask("images:resize", map[string]interface{}{"src": "some/path/to/image"})
res, err = client.Enqueue(task, asynq.Queue(QueueImages))
if err != nil {
log.Fatal(err)
}
fmt.Printf("successfully enqueued: %+v\n", res)
}Let's run this to enqueue three tasks.
go run client/client.goNow let's move on to the worker to consume those tasks.
In worker.go, we are going to create a asynq.Server that consumes tasks from the three queues.
Again, we'll use RedisClusterClientOpt to connect to our Redis Cluster.
// worker.go
package main
import (
"context"
"fmt"
"log"
"github.com/hibiken/asynq"
)
func main() {
redisConnOpt := asynq.RedisClusterClientOpt{
Addrs: []string{":7000", ":7001", ":7002", ":7003", ":7004", ":7005"},
}
srv := asynq.NewServer(redisConnOpt, asynq.Config{
Concurrency: 20,
// we'll give each queue the same priority number here.
Queues: map[string]int{
"notifications": 1,
"webhooks": 1,
"images": 1,
},
})
mux := asynq.NewServeMux()
mux.HandleFunc("notifications:email", handleEmailTask)
mux.HandleFunc("webhooks:sync", handleWebhookSyncTask)
mux.HandleFunc("images:resize", handleImageResizeTask)
if err := srv.Run(mux); err != nil {
log.Fatalf("Could not start a server: %v", err)
}
}
func handleEmailTask(ctx context.Context, t *asynq.Task) error {
to, err := t.Payload.GetInt("to")
if err != nil {
return err
}
from, err := t.Payload.GetInt("from")
if err != nil {
return err
}
fmt.Printf("Send email from %d to %d\n", from, to)
return nil
}
func handleWebhookSyncTask(ctx context.Context, t *asynq.Task) error {
data, err := t.Payload.GetInt("data")
if err != nil {
return err
}
fmt.Printf("Handle webhook task: %d\n", data)
return nil
}
func handleImageResizeTask(ctx context.Context, t *asynq.Task) error {
src, err := t.Payload.GetString("src")
if err != nil {
return err
}
fmt.Printf("Resize image: %s\n", src)
return nil
}Let's run this worker server to processed the three tasks we created earlier.
go run worker/worker.goYou should be able to see the message printed from each handler.
As described in the overview section, Asynq shards data by queue. All tasks enqueued to the same queue belongs to the same Redis node.
But which Redis node hosts which queues?
We can use CLI to answer that question.
asynq queue ls --clusterThis command will print a list of queues along with:
- cluster nodes the queue belongs to
- cluster hash slot the queue maps to
The output may look something like this:
Queue Cluster KeySlot Cluster Nodes
----- --------------- -------------
images 9450 [{d54231bccd6c1765ea15caf95a41c67b10b91e58 127.0.0.1:7001} {70a7d4569eac28eed577ee91863703ffab98d2e0 127.0.0.1:7005}]
webhooks 4418 [{d58959f6057ad0911d92d86d1d16dc2242e9ec48 127.0.0.1:7004} {e2fb9f1296a8d3a49818e0f9be3bfd74fdc052ea 127.0.0.1:7000}]
notifications 16340 [{c738a8a98c5f5f9161e9563fa739f9c8191b7f1a 127.0.0.1:7002} {18cdaa0712191d74656f08017371df41eeaad5fa 127.0.0.1:7003}]You can run redis-cli --cluster reshard command to move queue from one node to another. Note that operations may become unavailable for some time during resharding since Asynq uses multi-key operations.
This was a quick walkthrough of how to use Redis Cluster with Asynq. If you have any questions or feature requests, please create an issue on Github. Thank you!