diesel VS rust-analyzer

7. Diesel

Both seem nice. However, both of them rely very heavily on prepared statements. Unfortunately, using prepared statements is a no-go when you use connection poolers like pgbouncer, or in my case AWS RDS proxy. A discussion in Diesel indicates that disel is not going to provide any support for disabling prepared stements (https://github.com/diesel-rs/diesel/discussions/3575), and a discussion on sqlx hints that disabling prepared statements is possible, but I haven't found any documentation or examples for it.

In addition we are experimenting with prebuild versions of diesel-cli that can be installed directly. We have a set of prebuilt binaries here. We are interested in feedback about how the provided binaries work on your platform.

First of all thanks for making this great tool. As it happens I currently toy around with using it for diesel-cli releases. See the WIP PR here. I think diesel-cli is a good example of a tool that depends on system libraries as it needs to link native database drivers, so this new release is welcome. Defining the dependencies seems to allow easily building things on x86_64-unknown-linux-gnu and x86_64-apple-darwin. It seems to pick up everything in the right way there.

I did look at mysql initially. Then I started checking other crates. Diesel is an Object Relation Model (ORM), I'm not yet keen on taking on the complication of learning ORM, I give this crate a pass in the meantime.

I would recommend people look at diesel from Rust for how nice it could be. https://diesel.rs/ Look at the complex queries example. So much more readable and easier to understand.

Most wanted missing features in diesel

There are two problems with using Rust for web servers:

1. The only production-ready Rust web servers require writing async request handlers. Async Rust is not fun.

2. The only good Postgres client library is async: https://crates.io/crates/sqlx

I'm trying to remedy the first problem with https://crates.io/crates/servlin .

Solving the second problem will be another project. I hope someone else does it. There is https://crates.io/crates/diesel but it has the same problem as async Rust: incomprehensible compiler errors.

Lemmy is written in Rust using Actix Web and Diesel.rs.

https://actix.rs/

https://diesel.rs/

go build 3.62s user 0.76s system 171% cpu 2.545 total

I was looking forward to parallel front-end[4], but I have not seen any improvement for these small changes.

[1]: https://github.com/rust-lang/rust-analyzer

For example, intelephense can show diagnostics in real time, there is no need to save the file to get new diagnostics. But rust-analyzer, the language server for rust, can only update diagnostics after saving the file.

6. Rust Analyzer

The rust-analyzer readme suggests you go here for support request. But even there, you'll need to provide more details to get useful help.

For example: https://github.com/rust-lang/rust-analyzer/blob/master/docs/...

> If you create an LSP, it will work best in VS Code.

Any editor can work just as well as (or even better than) VS Code.

So, apparently the reason why rust-analyzer, the LSP server for Rust does not have persistent caching is because it would make "optimizing initial passes less important".

All I want to know is: Will it have a build configuration pulldown?

I am not a Rust dev. It surely looks great.

However, from what I understand it seems to supply just a parser separate from the Rust compiler (https://github.com/rust-lang/rust-analyzer/tree/master/crate...) trying to keep up with Rust‘s development. So, in principle, it could have been just another treesitter parser plugin, too.

So, again, the LSP framework does not directly provide any magical benefit over a static parsing framework. All the semantic analysis capabilities stem from a good parser.

rust-analyzer > manual > helix > binary > rustup component add rust-analyzer