JSON-to-Go VS sqlc

That site likely uses Matt's lib for that functionality: https://github.com/mholt/json-to-go

https://mholt.github.io/json-to-go/ is a nice tool for generating a struct definition to fit some sample JSON.

json-to-go is your friend.

JSON to struct. I use this about 100 times a day, no joke.

https://mholt.github.io/json-to-go/

Do your best to get static types on everything. Play a game with yourself where interface{} is banned and try to do your work. One of the most common sources of such loosely-typed values in JSON, so I'll point out this automatic struct generator for instance. If you have questions about a specific place you don't see how to avoid interface, feel free to ask. Every once in a while I do have to reach for something like this, but it should be rare.

But given we know ChatGPT can't accurately generate structs from even moderately complex json objects why bother doing all of that legwork of verifying and chiding chatgpt, when you can just drop it into a tool like https://mholt.github.io/json-to-go/ and get a correct struct in a fraction of the time?

I use https://marketplace.visualstudio.com/items?itemName=maracko.json-to-go, which is an extension version of https://mholt.github.io/json-to-go/

I think using struct in such cases is almost always the right approach. There are tools which generates go structs from json this.

"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