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What is durability in RabbitMQ?
Durability is a property of AMQP entities; queues and exchanges. Durable entities can survive server restarts, by being automatically recreated once the server gets back up. Persistent messages are marked for garbage collection once they are consumed (and acknowledged) from a durable queue.
Is RabbitMQ data persistent?
The RabbitMQ persistence layer is intended to provide reasonably good throughput in the majority of situations without configuration. However, some configuration is sometimes useful. This guide covers a few configurable values that affect throughput, latency and I/O characteristics of a node.
Does RabbitMQ store data?
Every RabbitMQ node has a data directory that stores all the information that resides on that node. A data directory contains two types of data: definitions (metadata, schema/topology) and message store data.
What happens if RabbitMQ down?
In detail: The messages that RabbitMQ publish are persistent. When the message broker goes down, the events are not published and I am planning to store these events in a database and publish them again to RabbitMQ when it is up.
Are RabbitMQ messages persistent?
Messages, exchanges, and queues that are not durable and persistent will be lost during a broker restart. If you cannot afford to lose any messages, make sure that your queue is declared as durable and your messages are sent with delivery mode “persistent”.
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).
Why use Kafka over RabbitMQ?
Kafka offers much higher performance than message brokers like RabbitMQ. It uses sequential disk I/O to boost performance, making it a suitable option for implementing queues. It can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.
Do I need to close RabbitMQ connection?
Don’t open and close connections or channels repeatedly. Even channels should be long-lived if possible, e.g., reuse the same channel per thread for publishing. Don’t open a channel each time you are publishing. If you can’t have long-lived connections, then make sure to gracefully close the connection.
What are the criteria for reliability in RabbitMQ?
Key reliability criteria in this scenario is whether there is a replica (queue mirror) eligible for promotion. Exclusive queues are tied to the lifecycle of their connection and thus are never mirrored and by definition will not survive a node restart. Consumers connected to the failed node will have to recover as usual.
What is the purpose of the RabbitMQ persistence layer?
The RabbitMQ persistence layer is intended to provide reasonably good throughput in the majority of situations without configuration.
How is the size of a message stored in RabbitMQ?
This is controlled by the configuration item queue_index_embed_msgs_below. By default, messages with a serialised size of less than 4096 bytes (including properties and headers) are stored in the queue index. Each queue index needs to keep at least one segment file in memory when reading messages from disk.
What happens when a queue has been deleted from RabbitMQ?
When the queue a consumer was consuming from has been deleted, RabbitMQ will notify the consumer. Such consumer must take action to recover, whether it is consuming from a different queue or redeclaring the one it was originally consuming from when this is safe and appropriate.