# Golang Database > Guía completa para acceso a bases de datos en Go: queries parametrizadas, scanning de structs, columnas NULLable, transacciones, aislamiento, connection pool y migraciones. No genera esquemas ni SQL de migración. Fuente: https://skillsagentes.com/skills/samber/cc-skills-golang/golang-database Markdown: https://skillsagentes.com/skills/samber/cc-skills-golang/golang-database.md Repositorio: https://github.com/samber/cc-skills-golang Autor: samber Licencia: MIT Actualizado: hace 2 meses Coste de contexto: 118 tok instalada, 2.9k tok al activarse, 11.3k tok con todos los archivos del bundle Bundle: 6 archivos, 44 KB Permisos que pide: read edit write glob grep bash(go:*) bash(golangci-lint:*) bash(git:*) agent askuserquestion ## Instalación Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina. ```bash # Claude Code npx -y skills add samber/cc-skills-golang --skill golang-database --agent claude-code # Cursor npx -y skills add samber/cc-skills-golang --skill golang-database --agent cursor # Codex npx -y skills add samber/cc-skills-golang --skill golang-database --agent codex # Gemini CLI npx -y skills add samber/cc-skills-golang --skill golang-database --agent gemini # Windsurf npx -y skills add samber/cc-skills-golang --skill golang-database --agent windsurf # Cline npx -y skills add samber/cc-skills-golang --skill golang-database --agent cline ``` ## Qué hace - Aplica queries parametrizadas, propagación de context y manejo explícito de sql.ErrNoRows en código Go de base de datos - Revisa o genera transacciones, niveles de aislamiento y SELECT FOR UPDATE - Configura el connection pool (SetMaxOpenConns, SetMaxIdleConns, etc.) - Audita código existente en busca de rows.Close() faltantes o queries sin parametrizar - Recomienda sqlx o pgx en lugar de ORMs para struct scanning y columnas NULLable ## Cuándo usarla - Al escribir, revisar o depurar código Golang que interactúa con PostgreSQL, MariaDB, MySQL o SQLite - Para testing de base de datos - Para preguntas sobre database/sql, sqlx o pgx ## Cuándo no - No genera esquemas de base de datos ni SQL de migraciones ## Qué la activa - "Revisa este código Go que consulta PostgreSQL con sqlx" - "Ayúdame a escribir una transacción con SELECT FOR UPDATE en Go" - "¿Cómo configuro el connection pool con pgx?" - "Detecta fugas de conexión por rows.Close() faltante en este archivo" ## Antes de instalar - Requiere el binario go y un proyecto Golang. ## Archivos - SKILL.md — 11 KB - evals/evals.json — 15 KB - references/performance.md — 8 KB - references/scanning.md — 2 KB - references/testing.md — 6 KB - references/transactions.md — 1 KB ## SKILL.md Reproducido tal cual desde samber/cc-skills-golang bajo MIT. Esta sección es el documento original y está en inglés. **Persona:** You are a Go backend engineer who writes safe, explicit, and observable database code. You treat SQL as a first-class language — no ORMs, no magic — and you catch data integrity issues at the boundary, not deep in the application. **Modes:** - **Write mode** — generating new repository functions, query helpers, or transaction wrappers: follow the skill's sequential instructions; launch a background agent to grep for existing query patterns and naming conventions in the codebase before generating new code. - **Review/debug mode** — auditing or debugging existing database code: use a sub-agent to scan for missing `rows.Close()`, un-parameterized queries, missing context propagation, and absent error checks in parallel with reading the business logic. > **Community default.** A company skill that explicitly supersedes `samber/cc-skills-golang@golang-database` skill takes precedence. # Go Database Best Practices Go's `database/sql` provides a solid foundation for database access. Use `sqlx` or `pgx` on top of it for ergonomics — never an ORM. When using sqlx or pgx, refer to the library's official documentation and code examples for current API signatures. ## Best Practices Summary 1. **Use sqlx or pgx, not ORMs** — ORMs hide SQL, generate unpredictable queries, and make debugging harder 2. Queries MUST use parameterized placeholders — NEVER concatenate user input into SQL strings 3. Context MUST be passed to all database operations — use `*Context` method variants (`QueryContext`, `ExecContext`, `GetContext`) 4. `sql.ErrNoRows` MUST be handled explicitly — distinguish "not found" from real errors using `errors.Is` 5. Rows MUST be closed after iteration — `defer rows.Close()` immediately after `QueryContext` calls 6. NEVER use `db.Query` for statements that don't return rows — `Query` returns `*Rows` which must be closed; if you forget, the connection leaks back to the pool. Use `db.Exec` instead 7. **Use transactions for multi-statement operations** — wrap related writes in `BeginTxx`/`Commit` 8. **Use `SELECT ... FOR UPDATE`** when reading data you intend to modify — prevents race conditions 9. **Set custom isolation levels** when default READ COMMITTED is insufficient (e.g., serializable for financial operations) 10. **Handle NULLable columns** with pointer fields (`*string`, `*int`) or `sql.NullXxx` types 11. Connection pool MUST be configured — `SetMaxOpenConns`, `SetMaxIdleConns`, `SetConnMaxLifetime`, `SetConnMaxIdleTime` 12. **Use external tools for migrations** — golang-migrate or Flyway, never hand-rolled or AI-generated migration SQL 13. **Batch operations in reasonable sizes** — not row-by-row (too many round trips), not millions at once (locks and memory) 14. **Never create or modify database schemas** — a schema that looks correct on toy data can create hotspots, lock contention, or missing indexes under real production load. Schema design requires understanding of data volumes, access patterns, and production constraints that AI does not have 15. **Avoid hidden SQL features** — do not rely on triggers, views, materialized views, stored procedures, or row-level security in application code ## Library Choice | Library | Best for | Struct scanning | PostgreSQL-specific | | --- | --- | --- | --- | | `database/sql` | Portability, minimal deps | Manual `Scan` | No | | `sqlx` | Multi-database projects | `StructScan` | No | | `pgx` | PostgreSQL (30-50% faster) | `pgx.RowToStructByName` | Yes (COPY, LISTEN, arrays) | | GORM/ent | **Avoid** | Magic | Abstracted away | **Why NOT ORMs:** - Unpredictable query generation — N+1 problems you cannot see in code - Magic hooks and callbacks (BeforeCreate, AfterUpdate) make debugging harder - Schema migrations coupled to application code - Learning the ORM API is harder than learning SQL, and the abstraction leaks ## Parameterized Queries ```go // ✗ VERY BAD — SQL injection vulnerability query := fmt.Sprintf("SELECT * FROM users WHERE email = '%s'", email) // ✓ Good — parameterized (PostgreSQL) var user User err := db.GetContext(ctx, &user, "SELECT id, name, email FROM users WHERE email = $1", email) // ✓ Good — parameterized (MySQL) err := db.GetContext(ctx, &user, "SELECT id, name, email FROM users WHERE email = ?", email) ``` ### Dynamic IN clauses ```go query, args, err := sqlx.In("SELECT * FROM users WHERE id IN (?)", ids) if err != nil { return fmt.Errorf("building IN clause: %w", err) } query = db.Rebind(query) // adjust placeholders for your driver err = db.SelectContext(ctx, &users, query, args...) ``` ### Dynamic column names Never interpolate column names from user input. Use an allowlist: ```go allowed := map[string]bool{"name": true, "email": true, "created_at": true} if !allowed[sortCol] { return fmt.Errorf("invalid sort column: %s", sortCol) } query := fmt.Sprintf("SELECT id, name, email FROM users ORDER BY %s", sortCol) ``` For more injection prevention patterns, see the `samber/cc-skills-golang@golang-security` skill. ## Struct Scanning and NULLable Columns Use `db:"column_name"` tags for sqlx, `pgx.CollectRows` with `pgx.RowToStructByName` for pgx. Handle NULLable columns with pointer fields (`*string`, `*time.Time`) — they work cleanly with both scanning and JSON marshaling. See [Scanning Reference](./references/scanning.md) for examples of all approaches. ## Error Handling ```go func GetUser(id string) (*User, error) { var user User err := db.GetContext(ctx, &user, "SELECT id, name FROM users WHERE id = $1", id) if err != nil { if errors.Is(err, sql.ErrNoRows) { return nil, ErrUserNotFound // translate to domain error } return nil, fmt.Errorf("querying user %s: %w", id, err) } return &user, nil } ``` or: ```go func GetUser(id string) (u *User, exists bool, err error) { var user User err := db.GetContext(ctx, &user, "SELECT id, name FROM users WHERE id = $1", id) if err != nil { if errors.Is(err, sql.ErrNoRows) { return nil, false, nil // "no user" is not a technical error, but a domain error } return nil, false, fmt.Errorf("querying user %s: %w", id, err) } return &user, true, nil } ``` ### Always close rows ```go rows, err := db.QueryContext(ctx, "SELECT id, name FROM users") if err != nil { return fmt.Errorf("querying users: %w", err) } defer rows.Close() // prevents connection leaks for rows.Next() { // ... } if err := rows.Err(); err != nil { // always check after iteration return fmt.Errorf("iterating users: %w", err) } ``` ### Common database error patterns | Error | How to detect | Action | | --- | --- | --- | | Row not found | `errors.Is(err, sql.ErrNoRows)` | Return domain error | | Unique constraint | Check driver-specific error code | Return conflict error | | Connection refused | `err != nil` on `db.PingContext` | Fail fast, log, retry with backoff | | Serialization failure | PostgreSQL error code `40001` | Retry the entire transaction | | Context canceled | `errors.Is(err, context.Canceled)` | Stop processing, propagate | ## Context Propagation Always use the `*Context` method variants to propagate deadlines and cancellation: ```go // ✗ Bad — no context, query runs until completion even if client disconnects db.Query("SELECT ...") // ✓ Good — respects context cancellation and timeouts db.QueryContext(ctx, "SELECT ...") ``` For context patterns in depth, see the `samber/cc-skills-golang@golang-context` skill. ## Transactions, Isolation Levels, and Locking For transaction patterns, isolation levels, `SELECT FOR UPDATE`, and locking variants, see [Transactions](./references/transactions.md). ## Connection Pool ```go db.SetMaxOpenConns(25) // limit total connections db.SetMaxIdleConns(10) // keep warm connections ready db.SetConnMaxLifetime(5 * time.Minute) // recycle stale connections db.SetConnMaxIdleTime(1 * time.Minute) // close idle connections faster ``` For sizing guidance and formulas, see [Database Performance](./references/performance.md). ## Migrations Use an external migration tool. Schema changes require human review with understanding of data volumes, existing indexes, foreign keys, and production constraints. Recommended tools: - [golang-migrate](https://github.com/golang-migrate/migrate) — CLI + Go library, supports all major databases - [Flyway](https://flywaydb.org/) — JVM-based, widely used in enterprise environments - [Atlas](https://atlasgo.io/) — modern, declarative schema management Migration SQL should be written and reviewed by humans, versioned in source control, and applied through CI/CD pipelines. ## Avoid Hidden SQL Features Do not rely on triggers, views, materialized views, stored procedures, or row-level security in application code — they create invisible side effects and make debugging impossible. Keep SQL explicit and visible in Go where it can be tested and version-controlled. ## Schema Creation **This skill does NOT cover schema creation.** AI-generated schemas are often subtly wrong — missing indexes, incorrect column types, bad normalization, or missing constraints. Schema design requires understanding data volumes, access patterns, query profiles, and business constraints. Use dedicated database tooling and human review. ## Deep Dives - **[Transactions](./references/transactions.md)** — Transaction boundaries, isolation levels, deadlock prevention, `SELECT FOR UPDATE` - **[Testing Database Code](./references/testing.md)** — Mock connections, integration tests with containers, fixtures, schema setup/teardown - **[Database Performance](./references/performance.md)** — Connection pool sizing, batch processing, indexing strategy, query optimization - **[Struct Scanning](./references/scanning.md)** — Struct tags, NULLable column handling, JSON marshaling patterns ## Cross-References - → See `samber/cc-skills-golang@golang-security` skill for SQL injection prevention patterns - → See `samber/cc-skills-golang@golang-context` skill for context propagation to database operations - → See `samber/cc-skills-golang@golang-error-handling` skill for database error wrapping patterns - → See `samber/cc-skills-golang@golang-testing` skill for database integration test patterns ## References - [database/sql tutorial](https://go.dev/doc/database/) - [sqlx](https://github.com/jmoiron/sqlx) - [pgx](https://github.com/jackc/pgx) - [golang-migrate](https://github.com/golang-migrate/migrate) ## Dónde encaja - Categoría: [Bases de datos](https://skillsagentes.com/categorias/bases-de-datos.md) — Diseño de esquemas, migraciones y optimización de consultas. - Creador: [samber](https://skillsagentes.com/creators/samber.md) — 0 skills en el directorio - [Todas las skills](https://skillsagentes.com/skills.md) - [Ranking de instalaciones](https://skillsagentes.com/ranking.md) ## Otras skills del mismo repositorio - [Golang Lint](https://skillsagentes.com/skills/samber/cc-skills-golang/golang-lint.md): Buenas prácticas de linting y configuración de golangci-lint para proyectos Golang: ejecutar linters, configurar .golangci.yml, suprimir avisos con nolint, interpretar salidas y elegir linters. - [Golang How To](https://skillsagentes.com/skills/samber/cc-skills-golang/golang-how-to.md): Orquestador de skills de Golang, siempre activo en cualquier tarea de código, revisión, debug o setup: carga las skills más relevantes de samber/cc-skills-golang, a menudo varias a la vez. - [Golang Benchmark](https://skillsagentes.com/skills/samber/cc-skills-golang/golang-benchmark.md): Benchmarking, profiling y medición de rendimiento en Golang: escribir y comparar benchmarks, perfilar con pprof, analizar con benchstat y detectar regresiones en CI. - [Golang Testing](https://skillsagentes.com/skills/samber/cc-skills-golang/golang-testing.md): Tests de Golang listos para producción: table-driven, suites y mocks con testify, tests paralelos, fuzzing, fixtures, detección de fugas de goroutines con goleak, snapshot testing, cobertura, tests de integración. - [Golang Performance](https://skillsagentes.com/skills/samber/cc-skills-golang/golang-performance.md): Patrones y metodología de optimización de rendimiento en Golang: si hay cuello de botella X, aplica el patrón Y, una vez que profiling o benchmarks ya lo identificaron. --- Skills Agentes · [Índice de páginas en markdown](https://skillsagentes.com/sitemap.md) · [Inicio](https://skillsagentes.com/index.md)