AWS lambda with python asyncio. Event loop closed problem?



Closing the event loop in aws lambda affects future lambda runs??

  • I have some aysncio python code running within an aws lambda service. The logic of the code is as follows

    def lambda_handler(event,context):
        loop = asyncio.get_event_loop()
        # perform all operations with the loop
        return results
  • If I run this once, it appears to work fine. However, if I rerun it immediately afterwards, I get an error saying Event loop closed

  • Why is this happening? Shouldn’t each lambda run be independent of the last? After all lambda is supposed to be stateless


After all lambda is supposed to be stateless

Your function is supposed to be stateless.


Q: What is an AWS Lambda function?

The code must be written in a “stateless” style i.e. it should assume there is no affinity to the underlying compute infrastructure.

Q: Will AWS Lambda reuse function instances?

To improve performance, AWS Lambda may choose to retain an instance of your function and reuse it to serve a subsequent request, rather than creating a new copy. To learn more about how Lambda reuses function instances, visit our documentation. Your code should not assume that this will always happen.

The current python instance is reused for performance reasons, but its reuse or non-reuse must never be relied on. So while AWS Lambda is not itself always stateless, your programming methodology should be. Hopefully that clears up your confusion as to why that is happening!

Answered By – ParkerD

This Answer collected from stackoverflow, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0

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