sqlparser-rs VS xo

sqlparser to parse SQL queries and detect variable bindings

So to start with this, I looked into SQL parsing and found this library https://github.com/sqlparser-rs/sqlparser-rs

We switched to an open source alternative, the rust-based sqlparser-rs library, contributing a few updates for the BigQuery dialect.

I have experience with sqlparser-rs (for my sqlpage project), but it does not track the source code location of the parsed data structures (yet).

It uses https://github.com/sqlparser-rs/sqlparser-rs as the parser and lexer. The binder, planner, optimizer and executor are in Python. The optimizer stage only works on the logical plan and the rules are heuristic only.

That code could be copied directly from some real-world examples - sqlparser-rs code looks pretty much exactly the same.

https://github.com/sqlparser-rs/sqlparser-rs

Also neat to find the SQL parser library they use.

i like xo's approach https://github.com/xo/xo but it is as is. I would love if something similar comes along that is used by db practititoners that is actively used and supported.

I use xo https://github.com/xo/xo . It generates CRUD queries by default so i don't have to write basic queries and it has option to write complex queries like sqlx. Only issue is it is not well documented.

SQL is an old, irregular language to work with, but it is better known than HCL and SQL already has it's own Pulumi/CDK in the form of every ORM with introspection (like Javascript's Prisma, Python's Django, Go's XO etc) and QueryBuilder (LINQ, Knex, etc) in whatever programming language you prefer. You probably already know it.

I am using the library xo to generate basic data retrieval code from a sql schema for a crud api.

Sorry for the confusion, we're not generating the database client itself, more like generating an ORM around a database client. The ORM takes these database clients as dependencies. It's very similar to the way XO works with it's multi-database support: https://github.com/xo/xo/tree/master/_examples/northwind

i use xo . Reason is i prefer designing schema first and creating golang scaffolding later. Xo takes schema and gives me basic create/update/delete operations by default and i can also generate gocode for any sql queries that i write.

Thanks for sharing your thoughts! I see that it works best with Postgresql. The other commenter mentioned https://github.com/xo/xo for MySql which might work well.

Thanks for your comment and question @onionisfruit. Top-notch handle too!

>> What are your plans for models and persistence?

I haven't worked out all the details, but it's going to be some blend of https://github.com/xo/xo and https://sqlc.dev/.

Design goals:

1. High-level, type-safe "ORM" that's generated from your database schema.