Higher priority queues can have a larger pool of consumers that run on faster hardware than lower priority queues. Each queue can have a separate pool of consumers. The application is responsible for posting messages to the appropriate queue. In systems that don't support priority-based message queues, an alternative solution is to maintain a separate queue for each priority. (See the Competing Consumers pattern.) The number of consumer processes can be scaled up and down based on demand. Most message queue implementations support multiple consumers. The messages in the queue are automatically reordered so that those that have a higher priority are received before those that have a lower priority. The application that's posting a message can assign a priority. However, some message queues support priority messaging. SolutionĪ queue usually is a first-in, first-out (FIFO) structure, and consumers typically receive messages in the same order that they're posted to the queue. These requests should be processed earlier than lower priority requests that were previously sent by the application. In some cases, though, it's necessary to prioritize specific requests. In many cases, the order in which requests are received by a service isn't important. In the cloud, a message queue is typically used to delegate tasks to background processing. Context and problemĪpplications can delegate specific tasks to other services, for example, to perform background processing or to integrate with other applications or services. This pattern is useful in applications that offer different service level guarantees to individual clients. In this Python tutorial, we have learned about the priority queue in python.Prioritize requests sent to services so that requests with a higher priority are received and processed more quickly than those with a lower priority.
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