goja VS sqlc

dop251/goja

Your comment was posted 4 minutes ago. That means you still have enough time to edit your comment to change it so it contains real URLs:

<https://github.com/PuerkitoBio/goquery>

<https://github.com/dop251/goja>

(Please do not reply to this comment—I won't be able to delete it once the previous post is fixed if it contains replies.)

Apparently "not depending on Node or V8" means depending on some random Go JS engine instead.

Goja https://github.com/dop251/goja

Either call a JavaScript interpreter like node with exec.Command and read its stdout, or use a pure Go JavaScript interpreter like goja or otto.

Just to also say this is implemented in pure Go we aren't including V8 or any external dependencies we instead use https://github.com/dop251/goja which is a JS VM written completely in Go.

If you want to serialize a function to JSON one idea may be to embed a scripting language like JavaScript into your program. The goja package is a very good solution: a native ES5 JavaScript (with some ES6 syntax support as well) natively implemented in Go so you can get tight data bindings to your Go types and funcs. For your JSON marshalling you could serialize a JavaScript function source (text) and when reloading that, parse that text with goja to be able to run it dynamically in your Go program. Basically you'd need to get away from pure Go for this and towards something that is JSON compatible to (de)serialize to text.

Not really. It was built in-house and I don't know of anything about it that went public. I recall it using Goja for the JS runtime. Code was embedded into the binary (think embed package). There was some kind of sorcery to convert what would be HTTP network calls in the browser into local function calls during SSR, but I'm hazy on how it worked I'm afraid.

"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