How do you handle error in RabbitMQ?
Table of Contents
- 1 How do you handle error in RabbitMQ?
- 2 How reliable is RabbitMQ?
- 3 How many messages can RabbitMQ handle?
- 4 Does RabbitMQ guarantee order?
- 5 How primitive is the exception handling in RabbitMQ?
- 6 What happens to discarded messages in RabbitMQ queue?
- 7 How do I prevent RabbitMQ from outgrowing its allocated resources?
How do you handle error in RabbitMQ?
Acknowledge the original message, and put the new message onto the queue. Then you can check the retries count each time the message goes to a worker for processing. If it fails, either create a new message with updated metadata or permanently fail the message by sending reject with requeue set to false.
How reliable is RabbitMQ?
RabbitMQ provides strong reliable, durable messaging guarantees but there are many ways to screw up. Here is a list of things to remember. If you want high availability and strong at-least-once guarantees: Use quorum queues or mirrored queues.
What is Dlq in RabbitMQ?
Creating and Binding RabbitMQ Dead Letter Queues Just as with a dead letter exchange, a dead letter queue is a regular queue in RabbitMQ; it is just attached to the exchange. Create the queue normally and attach it to the exchange: channel.
How many messages can RabbitMQ handle?
50 thousand messages
Queues are single-threaded in RabbitMQ, and one queue can handle up to about 50 thousand messages. You will achieve better throughput on a multi-core system if you have multiple queues and consumers and if you have as many queues as cores on the underlying node(s).
Does RabbitMQ guarantee order?
Message Ordering RabbitMQ provides few guarantees regarding the ordering of messages sent to a queue or exchange. While it may seem evident that consumers process messages in the order in which producers sent them, this is very misleading.
What is DLX in RabbitMQ?
There is a concept of dead letter exchange (DLX) which is a normal exchange of type direct , topic or fanout . When failure occurs during processing a message fetched from a queue, RabbitMQ checks if there is a dead letter exchange configured for that queue.
How primitive is the exception handling in RabbitMQ?
However, the exception handling logic was very primitive in that the same message could potentially be thrown at the receiver infinitely causing a traffic jam in the messages. This post builds upon the basics of RabbitMQ in .NET.
What happens to discarded messages in RabbitMQ queue?
If the queue also has an x-dead-letter-exchange declared then the discarded messages go there, otherwise they are just thrown away. This approach can be very useful to avoid RabbitMQ outgrowing its allocated resources and losing messages in an uncontrolled way.
What is basicreject in RabbitMQ?
The only new bit compared to the basics is the BasicReject method. It accepts the delivery tag and a boolean parameter. If that’s set to false then the message is sent back to RabbitMQ which in turn will discard it, i.e. the message is not re-entered into the queue. Else if it’s true then the message is put back into the queue for a retry.
How do I prevent RabbitMQ from outgrowing its allocated resources?
This approach can be very useful to avoid RabbitMQ outgrowing its allocated resources and losing messages in an uncontrolled way. Another option to keep queue length down is to set a TTL (“time to live”) for messages in a given queue — this is actually a property of the queue so it’s configured with something like: