go-sqlmock VS zerolog

For that, I used the lib go-sqlmock. So, for example, the following snippet is part of the person/service_test.go file:

It's not the right call IMO to skip mocking the database connection to achieve 100% test coverage. How your app will behave in failure scenarios that are impossible to imitate during integration tests is part of the software contract. If your choice is to panic, or return an error, document that by testing that behavior. If another dev, or future you inadvertently breaks the contract, the test suite will fail. That's what you want. For unit tests against your database you should be using either go-sqlmock if testing against database/sql or pgxmock if testing against pgx. That being said, the points raised elsewhere in this thread regarding unit tests potentially hiding edge cases in terms of how an actual database will interact with your application that are not reflective of your understanding when writing mocks are 100% valid. You should do both. Unit test your app and write integration tests as well. On my team, we run integration tests using docker-compose.

I use Sqlmock for that purpose

There is a good lib for db tests https://github.com/DATA-DOG/go-sqlmock

Be aware that there is a performance impact compared to using zerolog directly [0] (my uneducated guess is it is likely due to pointer indirection).

[0]: https://github.com/rs/zerolog/issues/571#issuecomment-166202...

Things I can't live without in a new Go project in no particular order:

- https://github.com/golangci/golangci-lint - meta-linter

- https://goreleaser.com - automate release workflows

- https://magefile.org - build tool that can version your tools

- https://github.com/ory/dockertest/v3 - run containers for e2e testing

- https://github.com/ecordell/optgen - generate functional options

- https://golang.org/x/tools/cmd/stringer - generate String()

- https://mvdan.cc/gofumpt - stricter gofmt

- https://github.com/stretchr/testify - test assertion library

- https://github.com/rs/zerolog - logging

- https://github.com/spf13/cobra - CLI framework

FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb

We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers

Can you compare it against zerolog?

Hello gophers, I am using https://github.com/uber-go/fx and https://github.com/rs/zerolog for logging.

Hovewer it is not bad to export such a function, if it is done purely for convenience. For example github.com/rs/zerolog works on a logger instances, which can be created manually, but they also provide a github.com/rs/zerolog/blob//log package, which provide you access to the global logger which is more convenient in most cases

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

I use zerolog myself and have seen it being used in production several times. Also they have a list of who uses zerolog

This would be so awesome if it was extending an awesome logger like https://github.com/rs/zerolog. Personally I love zerolog because of how it handles different data types including structs!

logrus README recommended using other libraries such as Zerolog, Zap, and Apex.