Databases, SQL, Transactions, Repositories, and Data Access Patterns
Connect Go services to relational databases safely and build data-access layers that support maintainable backend systems.
Inside this chapter
- Database Access in Go
- Basic Query Example
- Transactions
- Repository and Service Separation
- Real Example
Series navigation
Study the chapters in order for the clearest path from Golang basics to advanced concurrency, service design, and production engineering. Use the navigation at the bottom to move smoothly through the full tutorial series.
Database Access in Go
Go services commonly interact with PostgreSQL, MySQL, and other relational systems using database drivers and standard abstractions. The language’s explicit style makes query handling and transaction boundaries easier to see.
Basic Query Example
row := db.QueryRow("SELECT id, name FROM users WHERE id = ?", id)Even simple queries require careful scanning, error handling, and resource usage. These patterns become central in API and service code.
Transactions
Transactions matter when multiple data changes must either succeed together or fail together. Payments, inventory updates, ledger operations, and workflow state transitions often depend on correct transaction handling.
Repository and Service Separation
Many teams separate database logic into repository-like packages or layers so handler code does not become cluttered with raw SQL and row mapping details. This can improve maintainability when done carefully.
Real Example
A subscription platform may need to create invoices, update account status, and record audit history inside one transaction. Go’s explicit code style makes those data boundaries easier to inspect during review and debugging.