The XACK
command in Redis is used with stream data structures. It's specifically utilized to acknowledge the processing of a message from a stream by a consumer. When consumers read messages, they can ensure that no message gets lost during processing by using XACK
. Typically, this is used in a system where reliability is required and message loss cannot be tolerated such as in messaging queues, event-driven architectures, etc.
Consider a scenario where your application is consuming messages from a stream named "mystream" and the consumer group is named "mygroup".
For the purpose of this example, let's assume that you have already connected to your Redis instance and created a new stream and consumer group.
Let's say that you have read a message and its ID is "1577836800000-0", now you want to acknowledge it:
package main import ( "fmt" "github.com/go-redis/redis/v8" "context" ) func main() { rdb := redis.NewClient(&redis.Options{ Addr: "localhost:6379", Password: "", DB: 0, }) ctx := context.Background() err := rdb.XAck(ctx, "mystream", "mygroup", "1577836800000-0").Err() if err != nil { panic(err) } fmt.Println("Message Acknowledged Successfully") }
This script connects to the Redis server running on localhost and acknowledges the processing of the message with ID "1577836800000-0" in "mystream" by "mygroup".
XACK
. If an error occurs and it's not handled, your application might behave unexpectedly.context.Background()
which never expires and can cause a goroutine leak if the redis server doesn't respond.Q: Can I acknowledge multiple messages at once?
A: Yes, you can pass multiple IDs to the XAck
function to acknowledge multiple messages in one command.
err := rdb.XAck(ctx, "mystream", "mygroup", "1577836800000-0", "1577836900000-0").Err()
Q: What happens if I try to acknowledge a message that does not exist or has already been acknowledged?
A: Redis will silently ignore non-existing IDs or IDs for messages that have already been acknowledged. The XACK
command returns the count of IDs actually acknowledged.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.