go-sqlmock VS gomock

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

I’m writing a post about it! I will post soon, but you can use https://github.com/DATA-DOG/go-sqlmock to mock your database calls

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

I use https://github.com/DATA-DOG/go-sqlmock for unit testing my data layer code. Most of the times, these tests help me to find errors whenever I do a refactor on the data layer, so I consider it a good safety net

Continuous Integration - Testify, sqlmock, Mockery, Github Actions

For testing DB queries I use https://github.com/DATA-DOG/go-sqlmock for unit tests. I then have a separate integration test suite that runs against all our services using Docker.

Looking at gomock's commit history, it seems like there hasn't been much activity on the project in a couple of years. I'm wondering if this is the case of software being mostly done and just in maintenance mode, or if gomock is falling behind. The reason I fear for the latter is there are still issues being opened up that don't seem to be engaged very much.

Yeah, that would work just fine. Nevertheless, as your business logic gets more complicated, you will want to test more scenarios and mocks will get complicated fast. In these cases tools like gomock really shine and make your life easier. I understand that this is a just-for-fun project, but it's never too early to experiment with a popular solution, especially if you plan on using Go professionally in the future.

Unit tests are leveraged to test individual units of code. As such it is not recommended for a developer to scaffold entire dependencies for the sake of testing a single object. Due to the way Go's specific implementations work, I've learned over time to declare interfaces for a lot of the structs that I use in Go. Interfaces not only define a contract for which struct-based implementations should adhere, but they also provide a mechanism for which struct methods can be mocked. While I've experimented with the mock package in testify, I've come to prefer the mock functionality which is provided by mockgen.

Where we do use mocks, we primarily use GoMock.

Currently migrating from moq to https://github.com/golang/mock

I use gomock or mockery for mocking the interfaces and testify for evaluating tests

As every software, the operator needs to be tested. In our case, we use two types of tests: Unit and E2E. For testing, usually mock code generation is used (for example, via golang/mock). We didn't like this option, so we decided to use Testify's mock module that allows to mock required function interfaces using the reflection API—the interfaces used to configure Tarantool.

In all other layers, my repositories are mocked using https://github.com/golang/mock

If you don't know how to mock databases, checkout some tutorials on it, it's a big topic, and I can't give you all the details on it. Checkout these repositories, they are used for mocking in golang https://github.com/golang/mock, https://github.com/stretchr/testify