pg_graphql VS sqlc

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/

Hi HN, I’m Kyle and together with Andrew (https://news.ycombinator.com/user?id=stanleydrew) we’ve been working on Riza (https://riza.io), a project to make WASM sandboxing more approachable. We’re excited to share a developer preview of our code interpreter API with HN.

There’s a bit of a backstory here. A few months ago, an old coworker reached out asking how to execute untrusted code generated by an LLM. Based on our experience building a plugin system for sqlc (https://sqlc.dev), we thought a sandboxed WASM runtime would be a good fit. A bit of hacking later, we got everything wired up to solve his issue. Now the API is ready for other developers to try out.

The Riza Code Interpreter API is an HTTP interface to various dynamic language interpreters, each running inside a WASM sandbox without access to the outside world (for now). We modeled the API to align with a POSIX shell-style interface.

We made a playground so you can try it out without signing up: https://riza.io

The API documentation lives here: https://docs.riza.io

There are many limitations at the moment, but we expect to rapidly expand capabilities so that programs can e.g. access the network and filesystem. Our roadmap has more details: https://docs.riza.io/reference/roadmap

If you need to execute LLM-generated code we’d love to have you try the API and let us know if you run into any issues. You can email us directly at [email protected].

"Is there a way to get sqlc to use pointers for nullable columns instead of the sql.Null types?"

I came across this yesterday for golang: https://sqlc.dev which is somewhat like what you want, maybe.

Not sure it allows you to parameterize table names but the basic idea is codegen from sql queries so you are working with go code (autocompletion etc).

Agreed, but tools like https://sqlc.dev, which I mention in the article, are a good trade-off that allows you to have verified, testable, SQL in your code.

sqlc is not strictly a conventional ORM. It offers a unique approach by generating Go code from SQL queries. This allows developers to write SQL, which sqlc then converts into type-safe Go code, reducing the boilerplate significantly. It ensures that your queries are syntactically correct and type-safe. sqlc is ideal for those who prefer writing SQL and are looking for an efficient way to integrate it into a Go application.

I was browsing awesome-go for ideas on how to setup my data access layer when I stumbled on sqlc. It seemed like a great option. Code generation is a strategy often used in the Go ecosystem and making my queries safe at compile time was an idea I really liked. Knex was great, but it required of me that I test thoroughly my queries at runtime and that I sanitize my query results to ensure type safety within my application.

Now, we are going to generate the code. For this purpose, we are going to use sqlc.

https://github.com/sqlc-dev/sqlc — for use with //go:generate