Querydsl VS pgsql-http

There is a bit of tooling needed but is already around. For Java for example I had very good experience with a combination of flyway [1] for migrations, testcontainers [2] for making integration tests as easy as unit tests and querydsl [3] for a query and mapping layer.

[1] https://github.com/flyway/flyway

[2] https://java.testcontainers.org/modules/databases/postgres/

[3] https://github.com/querydsl/querydsl

http://querydsl.com/ also seems similar

As for JPA: I cannot miss the QueryDSL library for building typesafe queries. Another interesting alternative is Jinq, that provides a java stream api to query entities.

> all I really want is a nice API for building queries (that actually supports all underlying database features) and automatic mapping of the results to whatever objects/structs and primitives the language supports.

For Java based solutions, check out https://www.jooq.org/ or http://querydsl.com/

QueryDsl -- http://querydsl.com

I don’t understand the question https://github.com/pramsey/pgsql-http

I am trying to use the supabase http rest client extension to fetch data from an external API. Following the supabase docs and the GitHub repo readme, I have not been able to successfully make a request that requires auth, specifically an API key in the request header with key x-api-key.

- Hasura Remote Schema (https://hasura.io/blog/tagged/remote-schemas/)

If you want more control over the web API and you were going to fetch the data within your Python back-end and process it there, for some use-cases (not all, but some), there are options:

- pg_http (https://github.com/pramsey/pgsql-http)

Life is about trade-offs. Doing the work in SQL is not without its drawbacks, but it's also not without its benefits, and that's true for doing the work in a general-purpose language as well. Whatever the drawbacks of doing it in SQL, one of the benefits has got to be eliminating the impedance mismatch (for people who regard that mismatch as a problem, and the OP seems to be one such person). What I claim is that doing the work directly in the database shouldn't be ruled out in general (the specifics of a given use-case may rule it out in particular) any more the the other common patterns (API hand-written in Python, for instance) shouldn't be ruled out in general.

You could e.g. use the trigger to call http api using e.g. https://github.com/pramsey/pgsql-http

I do this all the time just with Postgres functions. Just turn on the following extensions: http (https://github.com/pramsey/pgsql-http) pg_cron (https://github.com/citusdata/pg\_cron)