Go Database

Go's database/sql is a thin, driver-pluggable foundation. Most projects layer one of sqlx, sqlc, or pgx on top for ergonomics. ORMs (GORM, ent) trade SQL visibility for one less line of code — a bad trade in production.

Core Rules

1. SQL is the source of truth. It is reviewed, version-controlled, and explained in code. Magic ORM queries are the opposite.
2. Always parameterize. $1/? placeholders, never string concatenation. The driver handles escaping; you cannot.
3. Every I/O call takes `ctx`. QueryContext, ExecContext, GetContext. No context = no timeout = a stuck handler.
4. Distinguish "not found" from "error". errors.Is(err, sql.ErrNoRows) is a domain signal, not a failure.
5. Close rows. defer rows.Close() immediately after QueryContext. Forgetting it leaks a pool connection.
6. Configure the pool. Default MaxOpenConns is unlimited — a runaway request rate exhausts the DB.

Library Decision

Why not ORMs.

• Generated queries are unpredictable; N+1 problems are invisible at the call site.
• Hooks (BeforeCreate, AfterUpdate) create implicit state machines.
• Schema migrations entangle with application code.
• Learning the ORM API is harder than learning SQL, and the abstraction leaks at every interesting query.

Read references/library-tradeoffs.md when picking between sqlx, sqlc, and pgx for a new project.

Parameterized Queries

// VERY BAD — SQL injection.
q := fmt.Sprintf("SELECT * FROM users WHERE email = '%s'", email)

// Good — placeholder, driver-escaped.
err := db.GetContext(ctx, &u, "SELECT id, email FROM users WHERE email = $1", email)

Dynamic IN clauses

q, args, err := sqlx.In("SELECT * FROM users WHERE id IN (?)", ids)
if err != nil { return fmt.Errorf("expanding IN: %w", err) }
q = db.Rebind(q)                            // $1, $2, ... for Postgres
err = db.SelectContext(ctx, &users, q, args...)

Dynamic column names

Placeholders cannot stand in for identifiers. 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)
}
q := fmt.Sprintf("SELECT id, name FROM users ORDER BY %s", sortCol)

Context Propagation

// Bad — query runs to completion even if the client disconnected.
rows, err := db.Query("SELECT ...")

// Good — driver cancels the query on ctx.Done().
rows, err := db.QueryContext(ctx, "SELECT ...")

Every I/O method takes ctx first. Pass the request context through service → repository.

Error Handling

err := r.db.GetContext(ctx, &u, "SELECT ... WHERE id = $1", id)
switch {
case errors.Is(err, sql.ErrNoRows):
    return nil, ErrUserNotFound           // domain error
case err != nil:
    return nil, fmt.Errorf("get user %s: %w", id, err)
}

Always close rows

rows, err := db.QueryContext(ctx, "SELECT id, name FROM users")
if err != nil { return fmt.Errorf("query: %w", err) }
defer rows.Close()
for rows.Next() {
    var u User
    if err := rows.Scan(&u.ID, &u.Name); err != nil { return fmt.Errorf("scan: %w", err) }
    users = append(users, u)
}
if err := rows.Err(); err != nil { return fmt.Errorf("iterate: %w", err) }

Three error checks (Query, Scan, rows.Err()) — missing the third hides truncated iteration.

NULL Columns and Scanning

type User struct {
    ID    string         `db:"id"`
    Email string         `db:"email"`
    Bio   *string        `db:"bio"`      // nullable → pointer
    Login sql.NullTime   `db:"last_login"`
}

Pointer fields work cleanly with JSON marshaling and with sqlx StructScan. Use sql.NullXxx when you need to distinguish "not set" from "zero value" at the SQL layer.

Read references/scanning.md for sqlx tags, pgx RowToStructByName, and sql.Null* patterns.

Transactions and Isolation

Wrap related writes in db.BeginTxx(ctx, &sql.TxOptions{Isolation: ...}), rollback on every error path, commit only on success. Use SELECT ... FOR UPDATE when reading data you intend to modify — otherwise a concurrent writer races you. See references/transactions.md for isolation levels, retryable serialization errors, and the UnitOfWork pattern.

Connection Pool

db.SetMaxOpenConns(25)
db.SetMaxIdleConns(10)
db.SetConnMaxLifetime(5 * time.Minute)
db.SetConnMaxIdleTime(1 * time.Minute)

MaxOpenConns should be ≤ the DB server's max_connections divided by replica count, with headroom for migrations and other consumers.

Migrations

Do not generate migration SQL with this skill. Schema design needs human judgment about indexes, foreign keys, and data volume.

Recommended tools:

• golang-migrate — Go library + CLI.
• Atlas — declarative, supports diff and lint.
• Flyway — JVM, common in heterogeneous shops.

Run migrations in CI/CD, not from application code at startup.

Avoid Hidden SQL Features

Triggers, views, materialized views, stored procedures, row-level security — all create invisible state changes. The application code looks correct; debugging takes hours. Keep behavior in Go where it is testable and reviewable.

Anti-Patterns

Verification Checklist

• [ ] No string-concatenated SQL
• [ ] Every DB call uses a *Context method
• [ ] Every QueryContext is followed by defer rows.Close()
• [ ] Every iteration loop ends with rows.Err() check
• [ ] sql.ErrNoRows is translated to a domain error at the repository boundary
• [ ] Connection pool limits set; not relying on defaults
• [ ] Transactions roll back on every error path; commit only on success
• [ ] Migrations live in migrations/, not in Go code

References

• references/library-tradeoffs.md — sqlx vs sqlc vs pgx vs GORM with concrete examples
• references/transactions.md — isolation levels, FOR UPDATE, retryable errors
• references/scanning.md — sqlx, pgx, NULL handling, JSON columns
• references/anti-patterns.md — detailed walkthrough of each anti-pattern