Feature request: Support Sequential Async Processing of Records for SqsFifoPartialProcessor

[amaral-ng]

Use case

I am working with a FIFO SQS queue that requires processing batch records in an asynchronous manner. However, to maintain the order of messages, the SqsFifoPartialProcessor currently only supports sequential synchronous processing. This limitation prevents me from using asynchronous processing in my FIFO queue handler, which is essential for my use case.

Solution/User Experience

I propose enhancing the SqsFifoPartialProcessor to support sequential asynchronous processing while maintaining message ordering. This approach would be similar to the solution implemented here, but tailored to work with the SqsFifoPartialProcessor. This would allow users to leverage asynchronous processing within FIFO queues without sacrificing the ordering guarantees.

Alternative solutions

No response

Acknowledgment

• This feature request meets Powertools for AWS Lambda (TypeScript) Tenets
• Should this be considered in other Powertools for AWS Lambda languages? i.e. Python, Java, and .NET

Future readers

Please react with 👍 and your use case to help us understand customer demand.

[boring-cyborg]

Thanks for opening your first issue here! We'll come back to you as soon as we can.
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[dreamorosi]

Hi @amaral-ng, thank you for opening this feature request.

I think it makes total sense to add this, as long as we process the items one by one and await each promise before moving onto the next one.

I've also added the help wanted label, if anyone is interested in picking up the issue and contribute a PR, please leave a comment below so we can assign it to you.

[bml1g12]

Ah yes, I wanted to plus 1 this as I also spent a fair bit of time on this one. I eventually came to the same conclusion - that it's not currently supported, so I ended up dropping powertools for my use case and writing my own boilerplate here.

In my use case, I wanted to not only use await but also apply a global rate limit across each message within the batch, as I'm calling AWS' SDK APIs on each message which have their own rate limits associated.

[dreamorosi]

Hi @bml1g12, thanks for the added context, this is very helpful.

May I ask how you'd be doing the rate limiting part? Do you maintain a separate persistence layer? How do you identify a request/operation? We're considering a rate limiting feature since we've had some other customers requesting it, and this info would be valuable.

[bml1g12]

This is the approach I'm using currently, i.e. rate limiting within the handler:

import pThrottle from "p-throttle"
...
const handler: SQSHandler = async (event: SQSEvent, context: Context) => {
    ...
    const throttle = pThrottle({
      limit: config.CallsPerSecondLimit,
      interval: 1000,
      strict: true,
    })
    const throttled = throttle(async (record: SqsRecord) => {
      log.debug("Processing a record from SQS", { local_context: { record } })
      await processRecord(record, sqsClient, "start")
    })
   for (const record of result.data.Records) {
       await throttled(record)

It would be even better if there was a convenience tool for global rate limiting across all lambdas - as it's a common problem we face when we have different lambda execution contextx running and hitting AWS imposed API rate limits

I appreciate maybe a better way would be to use DynamoDB to store the number of calls in last minute and use that instead, to provide persistence between lambda handlers - but also a lot more complex to implement and maintain

[arnabrahman]

I am interested in this. Currently, SqsFifoPartialProcessor extends BatchProcessorSync. To support asynchronous operations, a potential solution is for SqsFifoPartialProcessor to extend BasePartialBatchProcessor, where we can implement the async methods process and processRecord alongside processRecordSync. For async processing, the records will always be processed sequentially. Additionally, the function signature of processPartialResponse would need to be updated to match processPartialResponseSync.

There may be other solutions worth exploring, but this is the one that comes to mind. Let me know your thoughts, @dreamorosi.