The first step is to connect to the message queue. The decoupling of subscribers and publishers allows for scalability and flexibility.īelow steps shows how we can build the message queue as follows:ġ. The subscriber to the message queue is subscribing to any number of message queue channels that were published on the message queue. Redis message queue supports pub/sub messaging via pattern matching and a variety of data structures such as hashes and lists. Instead of a single consumer, both the one-to-one and one-to-many targets are becoming consumers in the group of consumers. Message processing takes time so we are using more consumers to deal with messages. Queue – File system folder which was used by the message queue for storing the messages.Ĭonsumer is an important feature in a redis message queue.Consumer – The endpoint that accepts messages waiting in the message queue in the subscribe or publish pattern is referred to as the consumer.Producer – When an application is in charge of message delivery, it is referred to as a publisher in the subscribe or publish the pattern.In message queue, there are two types of propagation as follows:īelow is the concept related to the message queue work which was used in the message queue as follows: We are using propagation in the redis message queue for transferring the message queue. The below figure shows how message queue is working as follows.īelow is the main component of the redis message queue. There are multiple aspects while choosing a message queue in redis like delivery, persistence, and propagation. The redis list and sets which were sorted are the two data types used to implement this type of behavior. In it stream events are immutable and the trimmed history is saved into cold storage. It contains the mutable state at the time of processing and deleting from the system. The service pushes new messages to another service inbox whenever we need attention. The type of communication name for the message queue is push. In redis there are two differences between event streams and queues of messages. The message queue is based on a mutable list, and it is sometimes consumed by using tools that assist us in implementing a common pattern. A copy of the original event is existing when we want to access it. The event stream in it is outperforming the queue.The Redis message queue event is based on the data type that was most efficient for new items appending to the end of the message queue.
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