golang-database

Database transactions in Go require explicit BeginTxx patterns, context-aware execution, and proper rollback safety on errors before committing. You must manage isolation levels and row locking for multi-step operations to ensure data integrity.

Production-ready Go database code without an ORM uses explicit SQL, parameterized queries to prevent injection, and context-aware calls. It enforces rows closing, sql.ErrNoRows translation, and predictable connection pool tuning for reliable repository-layer operations.

Connection pool tuning with sqlx involves configuring pool limits and timeouts for your database driver. Nullable fields require explicit scanning logic to avoid panics and ensure safe data mapping across PostgreSQL, MariaDB, MySQL, or SQLite queries.

Checking rows iteration and closing rows explicitly in Golang prevents resource leaks and ensures connection return to the pool. It is a required safety practice for explicit SQL query execution to avoid exhausting database connections during reads.

Yes, this explicit SQL approach works across PostgreSQL, MariaDB, MySQL, and SQLite. It applies to repository-layer reads, writes, batching, pagination, and integration testing by enforcing parameterized queries and safe transaction rollback patterns.

Avoid ORMs and schema generation when you need predictable database behavior, explicit SQL control, and hidden feature prevention. Explicit SQL with context-aware execution and manual transaction handling provides safer production-grade reliability.