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How to Write Test Code in Practice, Part 1: Efficient Mock Testing

·2023.07.10 19:00

Key point

This covers how to solve the productivity decline problem of Mock Server-based testing as service complexity increases.

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Details

As service scale grows and external dependencies increase, the complexity of test code also increases. Especially in environments where data consistency is critical, such as Batch applications, an efficient testing strategy that can cover various test cases is essential.

In the early stages of a service, the structure is simple and writing tests is easy, but as the service gets separated and external communication objects like PartnerClient are introduced, an HTTP Mocking approach using a Mock Server is used. However, as dependencies become more complex, this approach requires adding extensive Mocking code to every test, leading to decreased developer productivity.

To solve the problem of having to modify numerous pieces of HTTP Mocking code every time requirements change, an alternative approach based on @MockBean, which mocks the behavior of objects, is proposed.

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