golang-testing

Table-driven tests in Go involve defining test cases in a struct slice and iterating over them using subtests with t.Run. This approach executes multiple scenarios cleanly while maintaining shared setup and assertion logic for maintainable test suites.

Go test coverage is measured using the go test -cover flag to calculate executed code percentages. Integrate this into CI/CD pipelines by generating coverage profiles and enforcing minimum thresholds to ensure reliable code quality checks during automated builds.

Go fuzzing works by automatically generating random inputs to discover edge cases and panic-triggering bugs in your code. Use fuzzing when testing complex parsing logic or functions handling untrusted input to identify unexpected runtime failures.

Golden files store expected HTTP response outputs for comparison against actual handler results, while mocking isolates dependencies during testing. Both techniques facilitate validating HTTP handler behavior and ensuring deterministic integration tests without relying on external services.

The Go TDD workflow fully supports the Red-Green-Refactor cycle by writing failing tests first, implementing minimal code to pass, and then refactoring. This methodology ensures code reliability and maintainability from the start of service development.

Go benchmarks are executed using the go test -bench command to measure function execution time and memory allocations. They provide detailed performance metrics to help optimize code bottlenecks and ensure efficient resource utilization.