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According to your use case, there are several RabbitMQ Queue Types that allow several services in your application to interact with each other without worrying about message loss while ensuring the quality of service (QoS) requirements. It also enables better control and efficient message routing facilitating extensive decoupling of applications.
In this article, you will learn about various RabbitMQ Queue Types in detail.
RabbitMQ is a popular open-source Message Queue software that allows several applications to interact and scale up. Acting as a messaging broker, RabbitMQ provides you with a common platform that supports Asynchronous messaging. Here, applications can securely send and receive messages and RabbitMQ ensures a safe environment for your messages to live until consumed.
RabbitMQ is designed using Erlang for building a stable, reliable, fault-tolerant, and highly scalable system that effectively handles multiple operations in parallel. It also supports different types of protocols(method of data transportation between devices). Introduced with support for Advanced Message Queuing Protocol (AMQP), it now also provides complete support for Message Queuing Telemetry Transport (MQTT), Streaming Text Oriented Messaging Protocol (STOMP), and several other common protocols.
Internally, the architecture of all the RabbitMQ Queue types is simple. There is a client application called a producer that creates a message and sends it to a broker (message queue). Other applications, called consumers, link to the Message queues and subscribe to the messages that are processed. All of the Queued messages are stored until the consumer extracts the message. The RabbitMQ software can act as a message producer or consumer, or both a consumer and a producer.
Using RabbitMQ Message Queues, you can avoid unnecessary response delays as it allows web servers to respond to requests quickly rather than being forced to perform resource-intensive tasks on the spot. Employing any of the RabbitMQ Queue Types is often a good choice when you need to distribute a message among multiple consumers(message receivers) or even for balancing the load between workers. Owing to the flexibility of all the RabbitMQ Queue Types, you can send a request in one programming language and handle it in some other programming language. You can use RabbitMQ in the following scenarios:
RabbitMQ Queues is an ordered data structure that allows you to add(enqueue) at the tail and retrieve(dequeue) from the head. Many messaging protocols and platforms consider publishers and consumers to interact using a queue-like storage method. It is to be noted that all the RabbitMQ Queue Types are based on the FIFO (“first-in, first-out”) principle. To understand the RabbitMQ Queues, you can go through the following aspects:
All the Rabbit Queues Types have to be properly named allowing the applications to reference them easily. These applications can either choose queue names or let the broker generate a name for them. While naming the queue, the following guidelines are followed:
Queue Properties determine how a queue behaves. You can note down the following set of mandatory and optional properties:
When queues like auto-delete or exclusive use a known (static) name and the client disconnects and reconnects immediately, the RabbitMQ node will delete such queues and then try to reconnect them. This leads to a natural race condition of recovering the client. This can lead to errors and exceptions during client-side reconnection, causing unnecessary confusion and impacting application availability.
You must declare a queue before you can use it. When you declare a queue, it is created if the queue does not already exist. In case a queue already exists and its attributes match the attributes in the declaration, the declaration has no impact. If the existing queue attribute does not match the attribute of the declaration, a channel-level exception with code 406 (PRECONDITION_FAILED) will be thrown.
You can either choose durable or transient RabbitMQ Queues. Metadata of a durable queue is stored on disk, while metadata of a transient queue is stored in memory when possible. You can assume a similar difference for messages at publishing time in some protocols, e.g. AMQP 0-9-1 and MQTT.
For cases where durability is essential, use durable queues and ensure that publish mark published messages as persisted. All the transient queues are deleted when the node boots and therefore, by design, it does not survive a node reboot. This also results in discarding all the Messages in transient queues On the other hand, Durable queues will be recovered on node boot along with the messages in them published as persistent. It is to be noted that even if the messages are stored in a durable queue, they will be deleted during the recovery if they were published as transient.
You can define Queues RabbitMQ as sequenced collections of messages. Messages are enqueued and dequeued (delivered to consumers) in the FIFO manner. However, you may not always get the FIFO order, for instance, for priority and sharded RabbitMQ Queue Types.
Check out the following RabbitMQ Queue Types:
You will often encounter that with some workloads, their respective queues don’t last that much. You also may choose to manually delete the queues you have declared before disconnection, though this is not an effective method. Moreover, the client connections often fail, thereby leading to unused resources(queues) being left behind.
Thus, you can consider Temporary Queues as another of the RabbitMQ Queue Types. There are potentially three ways to make the queue deleted automatically:
An auto-delete queue will be deleted when its last consumer is canceled (e.g. using the basic.cancel in AMQP 0-9-1) or exits (closed channel or connection, or lost TCP connection with the server).
There will be cases where a queue never had any consumers. For example, when all consumption happens using the basic.get method (the “pull” API), it won’t be automatically deleted. For such cases, you have to use exclusive queues or queue TTL.
In AMQP 0-9-1, your application can ask the broker to generate a unique queue name. You can employ this feature by sending an empty string as the queue name argument. You can get the same generated name through various methods in the same channel by using the empty string where a queue name is required. This concept is applicable as the channel remembers the last server-generated queue name.
Server-named queues are ideal for a state that is transient and applicable to a particular consumer (application instance). This allows the applications to send such names in message metadata to let other applications respond to them. Or else, you should know the names of server-named queues and utilized them only by the declaring application instance. The instance is also responsible for properly setting up appropriate bindings (routing) for the queue so that publishers can use well-known exchanges rather than using the server-generated queue name directly.
While dealing with various RabbitMQ Queue Types, you need to consider the following aspects:
For all the RabbitMQ Queue Types, you can easily limit their length. Also, both Queues and messages can have a TTL(Time-to-Live). You can use both of these functions for data expiration as well as a method to limit the resources (RAM, disk space) a queue can use at most. For example, when consumers go offline or their throughput falls behind publishers.
RabbitMQ records several parameters about all the RabbitMQ Queue Types. You can easily access them via RabbitMQ HTTP API and management UI, which is designed for monitoring. These metrics include queue length, ingress and egress rates, number of consumers, number of messages in various states (for instance, ready for delivery or unacknowledged), number of messages in RAM vs. on disk, etc.
You can also use the rabbitmqctl to list queues and some basic metrics. By using the rabbitmq-top plugin, you can easily monitor runtime metrics like VM scheduler usage, queue (Erlang) process GC activity, amount of RAM used by the queue process, queue process mailbox length, etc. You can also view the individual queue pages in the management UI.
Whether your queue replica is a leader or follower, it is limited to a single CPU core on the hot code path. Therefore, by design, it assumes that most practical systems use several queues. On a general note, a single queue is usually assumed as an anti-pattern (not just because of resource usage). If there is a need to replace the order of messages with parallelism (improved CPU core utilization), rabbitmqsharding provides a great way for clients to do that transparently.
Messages can be used by registering a consumer (subscription). That is, RabbitMQ either sends the message to the client or retrieves it separately for a protocol that supports the message (such as the basic.get AMQP 091 method), as with HTTP GET. Delivered messages are explicitly or automatically verified by the consumer as soon as the delivery is written to the connection socket.
Auto acknowledgment mode typically provides higher throughput and uses less network bandwidth. However, with regard to failure, the warranty is the least. As a good practice, you should first use the manual verification mode.
In this article, you have learned about various RabbitMQ Queue Types. RabbitMQ is a widely used messaging broker that provides a safe environment for your applications to send or receive messages securely. This open-source tool provides you with several RabbitMQ Queue Types that can be used according to your business needs. With auto-delete queues, TTL & exclusive queues you can easily delete queues automatically when required. All the RabbitMQ Queue Types can be configured and monitored based on various parameters and metrics respectively.
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- Simple reversionary bonus. This type of bonus is generally declared at the end of each financial year.
- Compound reversionary bonus.
- Cash bonus.
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- Terminal bonus.
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What is interim bonus in life insurance?