Enhancing Amazon SQS Message Processing Performance | Best Practices

Best Practices for Enhancing Amazon SQS Message Processing Performance

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Question

A web application uses a single thread to poll multiple queues of Amazon SQS using long-polling having a wait time set as 15 seconds.

This is causing a delay in the processing of messages in a queue.

Which of the following best practices can be used to enhance message processing performance without any cost impact?

Answers

Explanations

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A. B. C. D.

Correct Answer - B.

When an application uses a single thread to query multiple queues, to increase message performance best practice is to have a single thread query single queue & use long polling.

Option A is incorrect as this will not increase performance as a single thread has to wait till long poll wait time on multiple queues which it is using.

Option C is incorrect as short polling can be used in this case, but it will have an additional cost impact.

Option D is incorrect as short polling can be used in this case, but it will have an additional cost impact.

For more information on polling options with Amazon SQS, refer to the following URL-

https://aws.amazon.com/sqs/faqs/

Long polling is a technique used in Amazon Simple Queue Service (SQS) to reduce the number of empty responses returned by a query when there are no messages available to consume from a queue. In long polling, the consumer thread requests messages from the queue and waits for a specified amount of time until a message becomes available or the timeout is reached.

In the given scenario, a single thread is being used to poll multiple queues of Amazon SQS using long-polling with a wait time of 15 seconds. However, this is causing a delay in message processing in a queue.

To enhance message processing performance without any cost impact, the best practice would be to use a single thread to process a single queue using short polling. Short polling is a technique in which the consumer thread requests messages from the queue, and if no messages are available, the request returns an empty response immediately.

This approach ensures that the consumer thread doesn't waste time waiting for messages when none are available, and it can move on to process messages from other queues. Additionally, processing a single queue with a single thread helps to avoid contention between threads and ensures that messages are processed in the order they are received, which is important for applications that require message ordering.

Therefore, option D - "Use a single thread to process a single queue using short polling" is the correct answer in this scenario. It is worth noting that short polling is less efficient than long polling in terms of API calls, but it is suitable for situations where processing messages quickly is more important than reducing API calls.