Squirrel VS zap

It uses Gin as the HTTP framework and PostgreSQL as the database with pgx as the driver and Squirrel as the query builder. It also utilizes Redis as the caching layer with go-redis as the client.

I would add Squirrel to PGX https://github.com/Masterminds/squirrel

I have written about this before, and my thoughts always settle on using a query builder. I've built a simple one, which works for what I need, but there are more feature complete ones out there such as squirrel. I've also written about how you can implement a simple CRUD library for database interactions using generics and query building to have that nice middle-ground between an ORM and query building.

Now for the dynamic queries you have to be really careful to prevent SQL injections, there are bunch of different ways to do it but I typically recommend using a package such as squirrel that lets you do this easily, you use it to generate the plain SQL you need (and then use sqlx, database/sql, pgx or whatever you prefer) or use it directly querying the database directly.

Here are 2 options for you * https://github.com/huandu/go-sqlbuilder * https://github.com/Masterminds/squirrel

https://www.reddit.com/r/golang/comments/vq98ud/what_sql_library_are_you_using/ Jet havn't used but is one that looks promising! Otherwise I'm one of the purests, db/sql and https://github.com/Masterminds/squirrel

I think he means an sql builder like squirrel. This allows dynamic queries, but more important you can reuse function that build a where clause so you can get a count and query with that.

I'd rather suggest the use of tools more aligned with the core concepts of the language such as sqlx, which is an extension of the database/sql standard library. It allows you to use models/structs to map your tables but you have more control over the SQL statements you use to perform queries and the like. You can combine sqlx with Squirrel to build queries from composable parts.

But using a query builder, something like squirrel or (plug) bqb, allows you to actually write SQL (or something close to it) when you need it but also handles the nasty string building bits. Though I agree that ORMs are not always bad, especially for small projects with well-defined scope.

Plug for bqb as a query builder, but there's also squirrel which works pretty well too.

The project currently uses slog package from standard library for logging. But switching to a more advanced logger like zap could offer more flexibility and features.

It's nice to have this in the standard library, but it doesn't solve any existing pain points around structured log metadata and contexts. We use zap [0] and store a zap logger on the request context which allows different parts of the request pipeline to log with things like tenantid, traceId, and correlationId automatically appended. But getting a logger off the context is annoying, leads to inconsistent logging practices, and creates a logger dependency throughout most of our Go code.

[0] https://github.com/uber-go/zap

Kubebuilder, like much of the k8s ecosystem, utilizes zap for logging. Out of the box, the Kubebuilder zap configuration outputs a timestamp for each log, which gets formatted using scientific notation. This makes it difficult for me to read the time of an event just by glancing at it. Personally, I prefer ISO 8601, so let's change it!

What else would you expect from a structured logging package?

To me it absolutely makes sense as the default and standard for 99% of applications, and the API isn't much unlike something like Zap[0] (a popular Go structured logger).

The attributes aren't an "arbitrary" concept, they're a completely normal concept for structured loggers. Groups are maybe less standard, but reasonable nevertheless.

I'm not sure if you're aware that this is specifically a structured logging package. There already is a "simple" logging package[1] in the sodlib, and has been for ages, and isn't particularly fast either to my knowledge. If you want really fast you take a library (which would also make sure to optimize allocations heavily).

[0]: https://pkg.go.dev/go.uber.org/zap

[1]: https://pkg.go.dev/log

And finally for structured logging: https://github.com/uber-go/zap

For logging: I recommend using Uber Zap https://github.com/uber-go/zap It will log stack backtraces and makes it super easy to debug errors when deployed. I typically log in the business logic and not below. And log at the entry for failures to start the system. Maybe not necessary for this example, but it’s an essential piece of any API backend.