pg_graphql VS fastapi

Hi, I'm the author of Supabase GraphQL (pg_graphql)

One of the restrictions of composite types is that they can not contain an instance of themselves. So unfortunately, this is not currently possible.

I had this issue when trying to implement an AST type for pg_graphql[1] back when it was written in SQL [2]. In the end we used a JSON type which was much less constrained. That might be solvable using pg_jsonschema [3] if you really wanted to have a good time though

[1] https://github.com/supabase/pg_graphql

It’s something that’ll come in future, but nothing available yet: https://github.com/supabase/pg_graphql/issues/17

But... If you're looking for Graphql/Postgres, maybe look at https://github.com/supabase/pg_graphql which popped onto my radar yesterday, but I have no experience with it.

Check out some of the generated queries this extension [1] pumps out and you might have an answer.

[1] https://github.com/supabase/pg_graphql

hey HN, supabase ceo here. I'm really excited about this release.

Our GraphQL implementation is built on top of pg_graphql[0], a PostgreSQL extension we open-sourced a few months ago. The implementation works with a lot of native PG functionality (like Row Level Security). You can also do a some neat things with PG GRANTS, enabling/disabling access to different tables/columns to effectively serve a different GraphQL API depending who is "logged in".

On Supabase, the extension is served via PostgREST[1] using the public PostgreSQL function exposed by pg_graphql. PostgREST exposes PG functions as RPC routes (in our case we also map /rest/v1/rpc/graphql => /graphql/v1)

I'll ping the main dev (@oli_rice) and make sure he is here to answer any technical questions. This is just one of the exciting features we're launching this week. Stay tuned for one of our most-requested features later this week.

[0] pg_graphql: https://github.com/supabase/pg_graphql

[1] PostgREST: https://postgrest.org/

It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.

FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.