SQS FIFO: Deduplication and Message Grouping for Efficient, Ordered Messaging
Filip Konkowski
Back-end engineer in enterprise banking, with a passion to new technologies like blockchain, deep learning and low-level hardware application
Imagine you’re working on a payment processing system that handles thousands of transactions per minute. The most important thing? Every transaction must be processed in the exact order it was made, and no message should be processed more than once. Sounds like a tall order, right? Well, this is where Amazon SQS FIFO (First-In-First-Out) comes to the rescue. It guarantees message ordering and deduplication, two crucial features for maintaining data integrity in distributed systems.
In this article, we’ll dive into two advanced SQS FIFO concepts that every software engineer should understand: deduplication and message grouping. Both of these are essential when you’re handling data that requires strict ordering and avoiding duplicate processing.
The Problem: Handling Duplicate Messages in a High-Volume System
In a distributed system, where different components are often loosely coupled, it’s not uncommon for the same message to be sent multiple times due to retries, network issues, or system errors. If your application processes the same message multiple times—say, charging a customer twice for the same transaction—it could lead to serious problems.
This is where message deduplication in SQS FIFO can save the day.
Deduplication in SQS FIFO
In an SQS FIFO queue, deduplication ensures that a message is only processed once within a specified time frame (known as the deduplication interval), which is set to five minutes. If the same message is sent twice within this period, SQS will discard the second message, ensuring that your consumer only processes the first one.
There are two deduplication methods available in SQS FIFO:
Use Case: Payment Processing System
Let’s go back to our payment processing example. When a customer makes a payment, you don’t want that payment to be processed twice because of a retry. By using SQS FIFO with content-based deduplication, even if the payment request is sent multiple times due to retries, only one payment will be processed. The system will recognize that the message content (the payment details) is the same and discard the duplicates.
Message Grouping: Ensuring Order Without Sacrificing Parallelism
Now, let’s tackle another common challenge in distributed systems: ensuring ordered processing of related messages while still allowing parallel processing of unrelated ones. This is where message grouping comes into play.
What is Message Grouping?
In SQS FIFO, every message must include a Message Group ID, which ensures that all messages within the same group are processed in order by a single consumer. This is crucial for scenarios where the order of operations matters, such as processing customer orders or financial transactions.
However, not all messages need to be in strict order. For example, if you’re processing orders for multiple customers, the order of transactions for each customer is important, but the order of transactions across different customers is not. Message grouping allows you to process messages for different groups in parallel while maintaining order within each group.
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How Message Grouping Works
Use Case: E-Commerce Order Processing
Imagine an e-commerce platform where customers can place multiple orders. You want to ensure that the orders for each customer are processed in the exact order they were made, but it’s not necessary to process orders for Customer A before Customer B.
Using SQS FIFO with message grouping, you can assign a unique Message Group ID to each customer. This way, all of Customer A’s orders are processed in the correct sequence by one consumer, while Customer B’s orders are processed by another consumer in parallel.
Setting Up Deduplication and Message Grouping in SQS FIFO
Let’s see how easy it is to configure these features:
Here’s an example of how you might configure these settings when sending messages:
aws sqs send-message \\
--queue-url <https://sqs.us-east-1.amazonaws.com/123456789012/my-queue> \\
--message-body "Order for Customer 123" \\
--message-group-id "customer123" \\
--message-deduplication-id "order001"
In this example:
Conclusion: Why SQS FIFO Matters for Your Application
SQS FIFO is a powerful tool for developers who need to guarantee message order and prevent duplicates, especially in systems where these guarantees are crucial, such as payment processing, order fulfillment, and financial applications.
By using deduplication, you ensure that no message is processed more than once, protecting against accidental retries or duplicate messages. And with message grouping, you can maintain order where it matters while still scaling your application to process other tasks in parallel.
For any developer working with distributed systems, mastering these SQS FIFO features is essential for building efficient, scalable, and reliable applications.
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By leveraging these advanced SQS FIFO concepts, you can ensure that your system remains both scalable and resilient, even when processing large volumes of messages.
Founder & CEO @ Ambar
1 个月Great article. I would add that producers/consumers, publishers/subscribers, however you call them, must also implement logic that respects ordering and don’t miss records. The queue is the easiest part. Eg when tracking an outbox table in the database, and producing to a queue, it can be done naively. ie checkpoint against the incrementing id, but this might miss in flight transactions. Eg2 saving a message to an outbox table and then dispatching to the queue in memory, risks a failed dispatch after the db commits. Another worker for the same partition key might commit to the db, and produce to the queue successfully, before the first failed message gets retried. This leads to out of order processing or missed messages or both.