RabbitMQ Training Introduction:
RabbitMQ training is the message broker that implements the advanced message queuing protocol (AMQP). It standardizes messaging by defining producers brokers and consumers the advantage of messaging is that it increases loose coupling and scalability. RabbitMQ training is one of several message query libraries that are used to communicate efficiently and loss lessly in a scalable distributed system when we need to build app that needs to send email talk to a data base validate data in to a million things all at once a distributed system architecture, let’s all of these tasks are happen in their own time and not hold up the entire application.
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RabbitMQ Training Overview:
RabbitMQ training is software implements the advanced message queuing protocol or AMQP for short AMQP is implementation and site on top of TCP/IP sort of like HTTP and is focused on ordered asynchronous message based communication with delivery guarantees because of its versatility AMQP is easily extensible and RabbitMQ training implements AMQP and single ready to use library.
RabbitMQ training AMQP architecture:
AMQP architecture in RabbitMQ training consists of a publisher an exchange of one or more queues and one or more consumers.
- The messages that are being passed around can be in any format including XML or even just plain text or it could be like serialized objects or something like that.
- And the publisher publishes message to the message broker, the message broker this could be a schedule task set to run at a given interval or it could be the result of an action like making a payment or sending a message in a can application or something like that and so the message broker consists of an exchanges and one or more queues.
- The exchange takes the message and its going to direct it to the appropriate queue, the queues have consumers which consumed the messages in the queue and these are kind of workers that are waiting for new things to do.
- So if message the queue has no consumers then the messages will stick around and the queue will obviously grow if more messages keep getting added to it and usually scaling the number of consumers to handle the workload as the rate of the new messages in the queue or the message increase the scaling this is pretty straight forward.
- So that’s one advantage ,we can add more consumers but it’s important to remember that if there is no consumer at all and the queue keeps growing well then that’s not a good situation to be in the additionally the consumer can acknowledge the message o reject it and force it to return back to the queue to be consumed again later there are other ways to handle this but we won’t be going into right now.
- RabbitMQ training that’s the implementation of the message broker part of an rabbitMQ online training is written in erlang it has libraries for most programming languages and even some frameworks like spring it also has a handy interface for monitoring that’s accept accessible through the browser.
Working of MQ in RabbitMQ training:
In working of RabbitMQ training, it has a producer and the consumer between them is queue. The producer sends a message to the queue however never use queue directly instead, uses an exchange publishing a message means that product sends a message to the exchange and the exchange forwards the message to a queue. Consuming a message then means that consumer picks up a message from a queue and consumes it an exchange would make much sense if we only had one queue. ActiveMQ is the major part of the Apache projects. The ActiveMQ is the open source message middleware tool that is used for sending the messages between two applications.
However in more complex application, can have multiple queues. When an exchange receives message it sends it to selected queues. An exchange connects via a binding and the binding key message the producer needs to specify a routing key. How an exchange compares the two keys depends on the type of the exchange.
MongoDB it is a No SQL database and that basically means that is instead of storing data in tables as we would with a sequel database like my sql we instead store. It in document or collections of objects much like JavaScript notation. If we think about this for a minute that sense using nodeJS on the server because it’s easier to communicate with a no sql database when we are using JavaScript objects.
The fan out simply ignores the routing queue and sends the message to all the queues it knows about direct exchanging sign to choose where the routing key is exactly the same as the binding. The topic exchange allows batches of keys, finally there’s a header exchange that uses the message header instead of the routing key.
In rabbitMQ training exists once kind of exchange the default or nameless exchange this exchange compares the routing key with the queue and not the binding key and when the routing key matches exactly the name of the queue, it forwards the message to this queue.
Reliable messaging with RabbitMQ:
- RabbitMQ training is the message broker so here have the message broker and the broker is main function is to take messages from some publisher and then forward that to the consumer.
- Now the broker stores these messages internally inside some queues.
- One of the things about the message broker or a messaging system in general is that we can locate the publisher and the consumer in separate physical hardware.
- One of the key features of a messaging system in this ability to store and forward messages, it means that is sometimes can send messages to a queue but there are no consumer is available to consume those messages.
- Now it is the responsibility of the message broker to store those messages inside its queues.
- so for example, have a publisher but don’t have a consumer so if the publisher starts sending messages to the message broker it’s going to store them in a queue so if send message one right it was going to store message one message three that’s three to four and message five if the publisher goes away, alright those messages will persist inside the message broker until a consumer is available to consume those messages.
- So let’s say later on the consumer does come up and starts RabbitMQ online training those messages then at that point that are when these messages will be removed from the queue in the order that they are put on the queue.
- Another featuring of the messaging, system is this guaranteed delivery of messages if follow their protocols then they are guarantee that no messages will be lost now in order to do that what happens is internally is that if from the publishers perspective if send a message to the message broker it can give a message confirmation that it actually was store successfully inside the message broker.
- Now when the messages go to the consumer has to act on this message ACK is for acknowledgment.
- Kafka is an Apache project initially developed by LinkedIn it is published subscribe messaging implemented as distributed commit log suitable for both online and offline message consumption. Kafka is a distributed partitioned replicated, commit log service.