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INSTANT RABBITMQ MESSAGING APPLICATION DEVELOPMENT HOW-TO PDF

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This is called "Round-robin dispatching" in RabbitMQ. There aren't any message delivery timeouts. Message acknowledgments are turned off by default. Queues and messages are not often marked as "durable" by default so you must explicitly do it yourself.

Fair dispatch is disabled by default so you must explicitly do it yourself. The use of exchange is optional but recommended as it represents the "best practice". Binding keys cannot be declared on "fanout" exchange types. Fanout exchange delivers messages to queues randomly without applying any rules so you won't get any change to select which message should go to which queue.

Direct exchange will give you change to select which message will go to which queue. Routing keys are defined on messages. Binding keys are defined on queues. Any message that doesn't match binding rules will be discarded and won't be delivered to any queues.

If the binding key consists of just a sign without words in the case of topic exchange, topic exchange will behave like a fanout exchange and deliver messages randomly. If no signs are used as part of binding keys in the case of topic exchange, topic exchange will behave like a direct exchange so it will deliver messages to matching queues. RPC is used when client wants to receive response after whole process. Always make sure that all the necessary components are available in RabbitMQ server such as exchange, queue etc.

Pay attention to Heartbeats feature. If your application gives you an option to set it, consider setting it. Work Queues Queues are used to prevent running resource-heavy tasks as soon as a HTTP request comes in and wait for the response. Instead of this basic logic, we do things later so the request is turned into a message and passed on to a queue to be stored.

After that the consumer consumes messages in the queues to finish off the work. As simple as that!

Round-robin Dispatching In short terms, it means parallelising the work in between consumers. If you run many consumers for a specific work in the background, on average every consumer will get the same number of messages. This is a default behaviour of RabbitMQ.

Example scenario: There are 5 messages and 2 consumers. Consumer 1 will get message 1, 3 and 5 on the other hand consumer 2 will get message 2 and 4. If message 6 comes in, it will be delivered to consumer 2 to make things even.

Message Acknowledgement For any random reason, a consumer could die in the middle of a process and we would lose all the messages delivered to this particular consumer which is a very scary scenario.

In such case, what we would want is to deliver unfinished and all the messages to any other available consumer instead.

RabbitMQ uses "message acknowledgments" logic to prevent message loss. Consumers send a message acknowledgments back to RabbitMQ telling that the particular message has been received and processed successfully then RabbitMQ deletes it. If our "scary" scenario occurs, consumer won't be able to send a message acknowledgments back to RabbitMQ because it is dead. In such case, RabbitMQ will know that something went wrong and will re-queue it which will then be picked up by any other available consumers.

This ensures us that messages won't get lost. Message acknowledgments are turned off by default so you must explicitly turn them on to send a message acknowledgment from the consumer after finishing the work.

Message Durability For any random reason, if the RabbitMQ server stops working it would forget the queues and the messages which is something you don't want to see happening however fortunately you could prevent it by marking queues and messages "durable".

Queues and the messages are not often marked as "durable" by default so you must explicitly do it yourself. Initially, you need to declare your queue "durable" but beware that if the queue already exists you cannot change its settings so you need to declare a new durable queue.

It has to be done in both the producer and consumer code. Note on message persistence: It tells RabbitMQ to save the message on the disk however there are some very rare cases where the message is accepted by RabbitMQ but not saved on the disk yet so this scenario doesn't fully guarantee that a message won't be lost. Fair Dispatch We know that the round-robin dispatching feature dispatches messages to consumers evenly so each consumers get average same amount of messages to process.

Lets think about this scenario - there are 5 messages and 2 consumers.

Project challenges

Lucky enough messages 1, 3 and 5 require very light work to be done whereas messages 2 and 4 require very heavy work to be done so you should feel sorry for consumer 2. To prevent this behaviour, we need to tell RabbitMQ not to give more than one message to a consumer at a time so what that means is, don't dispatch a new message to a consumer until it has processed and acknowledged the previous one.

Exchange Exchange sits in between producers and queues so it receives messages from producers and pushes them to specific queues based on user defined rules.

The rules are defined by the exchange type. Messages are either pushed to a single queue or many queues or discarded. In short terms, exchange will do what you tell it to do with the messages.

Group: RabbitMQ JMS

There are four exchange types which are direct, topic, headers and fanout. Fanout Exchange It delivers all messages to all queues it knows so there is no filtering or differentiation is going on here. It just delivers messages randomly and you have no control over in which queue messages will go.

Bindings Binding is a relationship in between exchange and queue. Exchange follows the binding rule to pass given message to correct queue. Routing Routing uses binding keys to filter and pass specific messages to correct queues from exchanges but it doesn't apply to fanout type. Direct Exchange Messages are sent to the queues whose "binding key" matches the "routing key" of the message.

It gives you change to select which message will go to which queue. Example above has direct exchange which has two queues bound to it. The Q1 is bound with jpg binding key and the Q2 is bound with gif and png binding keys. RabbitMQ and Erlang 1. Who is using RabbitMQ, and how? The advantages of loosely coupled architectures 1. Decoupling your application 1. Seamlessly adding new functionality 1. Replication of Data and Events 1.

Multi-Master Federation of data and events 1. The Advanced Message Queuing Model 1.

1. Foundational RabbitMQ

Summary 2. Kicking off the conversation 2. Tuning in to the right channel 2. AMQP frame components 2. Marshaling messages into frames 2. The anatomy of a method frame 2.

The content header frame 2. The body frame 2. Putting the protocol to use 2.

RabbitMQ message queueing system and web applications

Declaring an exchange 2. Binding a queue to an exchange 2. Publishing a Message to RabbitMQ 2. Consuming messages from RabbitMQ 2. Writing a message publisher in Python 2.

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Getting messages from RabbitMQ 2. Summary 3. Using properties properly 3. Creating an explicit message contract with content-type 3. Reducing message size with gzip and content-encoding 3.Why always C1? Creating a digital library Digital curation: Digital curation is generally referred to the process of establishing anddeveloping long term repositories of digital assets for current and futurereference by researchers, scientists, historians, and scholars.

Group: RabbitMQ JMS

Custom properties using the headers property 3. Get vs Basic. If it is a match then deals with it, if not then discards it.