pg8000 VS awslambda-psycopg2

As others have said you can use a custom compiled version of the lib, lambda layer or use lambda images, however, if you're not committed to psycogp2 I've found pg8000 a much easier library to work with in Lambda. You can just install it as any other library without any problems.

When people say "pure X", to me, it normally means they didn't involve an FFI or external compiler. This is an often beneficial thing since it simplifies your build process.

For example, here [0] is a "pure Python postgres driver" and the implication is that it doesn't use libpg.

Or see also this discussion [1].

[0] https://github.com/tlocke/pg8000

[1] https://www.reddit.com/r/learnpython/comments/nktut1/eli5_th...

I agree that information shouldn't be duplicated, but in one of my projects I've taken the opposite approach and made the FAQ the only place that certain information is presented. It's for the library https://github.com/tlocke/pg8000 and I've called them 'Examples' rather than a FAQ, but each time I get a question that isn't covered by the examples I add in a new example. I'd be interested to hear what people think of this approach.

This repository only has one for Python 3.9 and not for 3.11 so I'm wondering if there's a way to make one myself. I tried doing it according to the instructions provided by the repository but it doesn't seem to work..

Have you followed the instructions here? https://github.com/jkehler/awslambda-psycopg2

There is this library that has baked in the required libraries into psycopg2. All we need to do is copy the psycopg2 directory into your AWS Lambda zip package like below.