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-databaseskill 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
- Use sqlx or pgx, not ORMs — ORMs hide SQL, generate unpredictable queries, and make debugging harder
- Queries MUST use parameterized placeholders — NEVER concatenate user input into SQL strings
- Context MUST be passed to all database operations — use
*Contextmethod variants (QueryContext,ExecContext,GetContext) sql.ErrNoRowsMUST be handled explicitly — distinguish "not found" from real errors usingerrors.Is- Rows MUST be closed after iteration —
defer rows.Close()immediately afterQueryContextcalls - NEVER use
db.Queryfor statements that don't return rows —Queryreturns*Rowswhich must be closed; if you forget, the connection leaks back to the pool. Usedb.Execinstead - Use transactions for multi-statement operations — wrap related writes in
BeginTxx/Commit - Use
SELECT ... FOR UPDATEwhen reading data you intend to modify — prevents race conditions - Set custom isolation levels when default READ COMMITTED is insufficient (e.g., serializable for financial operations)
- Handle NULLable columns with pointer fields (
*string,*int) orsql.NullXxxtypes - Connection pool MUST be configured —
SetMaxOpenConns,SetMaxIdleConns,SetConnMaxLifetime,SetConnMaxIdleTime - Use external tools for migrations — golang-migrate or Flyway, never hand-rolled or AI-generated migration SQL
- Batch operations in reasonable sizes — not row-by-row (too many round trips), not millions at once (locks and memory)
- 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
- 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
// ✗ 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
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:
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 for examples of all approaches.
Error Handling
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:
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
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:
// ✗ 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.
Connection Pool
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
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