golang-database

Transaction management in Go ensures data consistency by wrapping multiple database operations into atomic units. This Skill provides robust transaction handling patterns for PostgreSQL, MySQL, and SQLite to safely execute operations like user record updates without partial failures.

The repository pattern in Go abstracts data access logic into generic repositories, reducing repetitive boilerplate code for CRUD operations. It separates data retrieval logic from business logic, simplifying data access and making your backend codebase more maintainable and scalable.

Yes, this database Skill supports connection pool tuning and read replica routing for PostgreSQL. It includes database optimization features like pool configuration, read replica distribution, and bulk operations to ensure high performance and scalable connectivity in production environments.

Implementing soft delete and audit trails in Go involves using non-destructive deletion patterns to retain records while marking them inactive. This Skill provides built-in patterns for soft deletion and audit logging, ensuring data integrity and accurate historical tracking for your backend.

The best way to build type-safe queries in Go without raw SQL strings is using a query builder. This Skill offers flexible query construction capabilities, enabling efficient and type-safe data retrieval and filtering while preventing SQL injection vulnerabilities.

Yes, you can use this Skill to handle database migrations and bulk operations across SQLite and MySQL. It provides unified patterns for schema migrations and batch data processing, ensuring reliable and efficient interaction across multiple supported database engines.