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Go Repository Pattern Done Right: Clean Data Layer in Go
Part of the Go Production Series — a collection of opinionated, battle-tested patterns for building Go services in the real world.
It’s 2 AM. Production is throwing database errors. Your teammate messages: “Can’t find where the bug is — there are SQL queries scattered across twelve different files.”
You’ve been here. What started as a simple service is now a maze of embedded SQL. Business logic and database calls are fused together. Every fix risks breaking something unrelated. Every test requires a running database. Every new feature means hunting for the right db.Query to copy.
The repository pattern is the architectural decision that prevents this. Not because it lets you swap PostgreSQL for MongoDB (you won’t), but because it gives every piece of SQL a home — and keeps that home out of your business logic. This article shows you how to implement it correctly in Go, including the part most tutorials skip: transactions.
The Idea: Own Your Interface
In Go, the repository pattern is built on one insight: the service defines what it needs; the infrastructure delivers it.
