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TeddyAlbinaTeddyAlbina/skills/golang-database/SKILL.md

golang-database

Skill2 starsChanged 30 days agoMITView on GitHub

Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite; for database testing; or for questions about database/sql, sqlx, or pgx. Does NOT generate database schemas or migration SQL.

  • Installs packages

15 other projects use a version of this, 9 of them edited.

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Used with

Projects with it also use golang-how-to, golang-gopls and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • alexastrumSkill

    golang-how-to

    Golang skills orchestrator — always active on any Golang coding, review, debug, or setup task. Reads the task context and loads the most relevant skills from samber/cc-skills-golang, often multiple at once: writing a gRPC service loads golang-grpc + golang-testing + golang-error-handling; debugging a panic loads golang-troubleshooting + golang-safety; auditing security loads golang-security + golang-lint + golang-safety. Also: disambiguates competing clusters when two skills seem to overlap (performance vs benchmark vs troubleshooting, samber/lo vs mo vs ro, DI cluster, safety vs security), and configures CLAUDE.md or AGENTS.md to force-trigger skills in a project (/golang-how-to configure).

    Also in 7 projects that use this

  • jkeddariSkill

    golang-gopls

    Golang semantic code intelligence with the official gopls language server: definitions, references, symbols, call and implementation hierarchies, diagnostics, formatting, code actions, safe rename, extract, inline, and package API discovery. Use when navigating or refactoring a local Go workspace or when semantic analysis is safer than text search.

    Also in 5 projects that use this

  • jkeddariSkill

    golang-refactoring

    Golang refactoring workflow for safe structural change: blast-radius discovery, coverage-adaptive safety nets, semantic rename and extract operations, package moves, import-cycle removal, staged commits, and behavior-preserving verification. Use when restructuring existing Go code without intentionally changing its public behavior.

    Also in 5 projects that use this

The file

We split this skill into the rules it gives an agent

9 rules. 5 are common, 0 are distinctive, and 4 are very specific to this project.

  • 5

    Common

    Most of the 11 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    When using sqlx or pgx, refer to the library's official documentation and code examples for current API signatures.

    line 33
  2. Very specific:

    NEVER use db.Query for statements that don't return rows — Query returns *Rows which must be closed.

    line 42
  3. Very specific:

    Use SELECT ... FOR UPDATE: when reading data you intend to modify — prevents race conditions

    line 44
  4. Common:

    Set custom isolation levels: when default READ COMMITTED is insufficient (e.g., serializable for financial operations)

    line 45
  5. Common:

    Never interpolate column names from user input.

    line 96
  6. Very specific:

    Use db:"column_name" tags for sqlx, pgx.CollectRows with pgx.RowToStructByName for pgx.

    line 110
  7. Very specific:

    Always use the *Context method variants to propagate deadlines and cancellation:

    line 177
  8. Common:

    Use an external migration tool.

    line 206
  9. Common:

    Do not rely on triggers, views, materialized views, stored procedures, or row-level security in application code — they create invisible …

    line 218

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

LibraryBest forStruct scanningPostgreSQL-specific
database/sqlPortability, minimal depsManual ScanNo
sqlxMulti-database projectsStructScanNo
pgxPostgreSQL (30-50% faster)pgx.RowToStructByNameYes (COPY, LISTEN, arrays)
GORM/entAvoidMagicAbstracted 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

ErrorHow to detectAction
Row not founderrors.Is(err, sql.ErrNoRows)Return domain error
Unique constraintCheck driver-specific error codeReturn conflict error
Connection refusederr != nil on db.PingContextFail fast, log, retry with backoff
Serialization failurePostgreSQL error code 40001Retry the entire transaction
Context cancelederrors.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

For sizing guidance and formulas, see Database Performance.

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 — CLI + Go library, supports all major databases
  • Flyway — JVM-based, widely used in enterprise environments
  • Atlas — 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 — Transaction boundaries, isolation levels, deadlock prevention, SELECT FOR UPDATE
  • Testing Database Code — Mock connections, integration tests with containers, fixtures, schema setup/teardown
  • Database Performance — Connection pool sizing, batch processing, indexing strategy, query optimization
  • Struct Scanning — 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

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