golang-uber-dig

作者: samber

Implements dependency injection in Golang using uber-go/dig — reflection-based container, Provide/Invoke, dig.In/dig.Out parameter and result objects, named values, value groups, optional dependencies, scopes, and Decorate. Apply when using or adopting uber-go/dig, when the codebase imports `go.uber.org/dig`, or when wiring an application graph at startup. For higher-level lifecycle and modules, see `samber/cc-skills-golang@golang-uber-fx` skill.

npx skills add https://github.com/samber/cc-skills-golang --skill golang-uber-dig

Persona: You are a Go architect wiring an application graph with dig. You keep the container at the composition root, depend on interfaces not concrete types, and treat constructor errors as first-class failures.

Using uber-go/dig for Dependency Injection in Go

Reflection-based DI toolkit, designed to power application frameworks (it is the engine behind uber-go/fx) and resolve object graphs during startup.

Official Resources:

This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform.

go get go.uber.org/dig

dig vs. fx

fx is built on dig and shares the same container engine — the DI primitives (Provide, Invoke, In/Out structs, named values, value groups) are identical. fx.In/fx.Out are re-exports of dig.In/dig.Out.

What fx adds on top of dig:

Concerndigfx
DI containerdig.New()✅ (embedded)
Lifecycle hooksfx.Lifecycle OnStart/OnStop
Module systemfx.Module with scoped decorators
Signal-aware run loopapp.Run() blocks on SIGINT/SIGTERM
Structured event loggingfx.WithLogger / fxevent
Startup/shutdown timeoutfx.StartTimeout / fx.StopTimeout

Choose dig when you need the wiring graph only: CLI tools, libraries exposing a container to callers, test harnesses, or embedding DI into an existing app that manages its own lifecycle.

Choose fx for long-running services (HTTP servers, workers, daemons) — lifecycle and signal handling are non-negotiable there. See samber/cc-skills-golang@golang-uber-fx skill.

Container

import "go.uber.org/dig"

c := dig.New()

Useful options: dig.DeferAcyclicVerification() (faster startup), dig.RecoverFromPanics() (turn panics into dig.PanicError), dig.DryRun(true) (validate without invoking).

Provide and Invoke

// Register a constructor — lazy, only runs when its output is needed
err := c.Provide(func(cfg *Config) (*sql.DB, error) {
    return sql.Open("postgres", cfg.DSN)
})

// Pull a service out of the container by asking for it as a function parameter
err = c.Invoke(func(db *sql.DB) error {
    return db.Ping()
})

Constructors are lazy and memoized: each output type is built once and shared (singleton per container). Provide errors at registration if the constructor is malformed; Invoke returns the constructor's error wrapped with the dependency path that triggered it.

A dig constructor is any function. Inputs are dependencies, outputs are provided types. error (last return) signals construction failure. Follow "accept interfaces, return structs".

Parameter Objects with dig.In

Once a constructor has 4+ dependencies, embed dig.In to group them as struct fields and tag fields:

type HandlerParams struct {
    dig.In

    Logger *zap.Logger
    DB     *sql.DB
    Cache  *redis.Client `optional:"true"`           // zero value if not provided
    DBRO   *sql.DB       `name:"readonly"`           // named dependency
    Routes []http.Handler `group:"routes"`           // value group
}

func NewHandler(p HandlerParams) *Handler { /* ... */ }

Tags: name:"...", optional:"true", group:"...".

Result Objects with dig.Out

Return several values from one constructor and attach name/group tags to results:

type ConnResult struct {
    dig.Out

    ReadWrite *sql.DB `name:"primary"`
    ReadOnly  *sql.DB `name:"readonly"`
}

func NewConnections(cfg *Config) (ConnResult, error) { /* ... */ }

Named Values

Two providers of the same type collide. Disambiguate with dig.Name:

c.Provide(NewPrimaryDB,  dig.Name("primary"))
c.Provide(NewReadOnlyDB, dig.Name("readonly"))

Consume by adding name:"primary" / name:"readonly" to a dig.In field.

Value Groups

Many providers, one consumer slice — typical for HTTP handlers, health checks, migrations:

type RouteResult struct {
    dig.Out
    Handler http.Handler `group:"routes"`
}

func NewUserHandler(db *sql.DB) RouteResult { /* ... */ }
func NewPostHandler(db *sql.DB) RouteResult { /* ... */ }

type ServerParams struct {
    dig.In
    Routes []http.Handler `group:"routes"`
}

Flatten — append ,flatten (e.g. group:"routes,flatten") to unwrap a slice instead of nesting it. Group order is not guaranteed; if order matters, provide an explicit ordered slice from a single constructor.

Provide as Interface (dig.As)

Register a concrete constructor and expose it under one or more interfaces without a separate adapter:

c.Provide(NewPostgresDB, dig.As(new(Database), new(io.Closer)))
// Consumers ask for Database or io.Closer; *PostgresDB stays hidden.

Full Application Example

func main() {
    c := dig.New()

    must(c.Provide(NewConfig))
    must(c.Provide(NewLogger))
    must(c.Provide(NewDatabase))
    must(c.Provide(NewServer))

    err := c.Invoke(func(srv *http.Server) error {
        return srv.ListenAndServe()
    })
    if err != nil {
        log.Fatal(err)
    }
}

func must(err error) { if err != nil { panic(err) } }

dig has no built-in lifecycle. If you need OnStart/OnStop hooks, signal handling, and graceful shutdown, use fx — see samber/cc-skills-golang@golang-uber-fx skill.

For Decorate, Scopes, optional deps, error helpers, and Visualize, see advanced.md.

Best Practices

  1. Keep the container at the composition root — never pass *dig.Container as a parameter; treat it like a plumbing detail of main(). Service-locator patterns defeat the testability gains of DI.
  2. Depend on interfaces, not concrete types — lets you swap implementations in tests without touching production code, and lets you use dig.As to expose narrow interfaces from wide structs.
  3. Prefer parameter objects (dig.In structs) once a constructor has 4+ dependencies — call sites stay readable and adding a new dependency is a one-line change instead of a signature break.
  4. Group registration by module (one file per module that calls c.Provide for its types) — review and refactoring become a per-module concern, and you can extract a module into a fx.Module later without rewriting wiring.
  5. Validate the graph eagerly in tests — call c.Invoke against the composition root in CI to surface missing providers at boot time, not at first request. DryRun(true) skips constructor execution.
  6. Return errors from constructors instead of panicking — dig wraps them with the dependency path, which makes the failure point obvious.

Common Mistakes

MistakeFix
Passing the container into servicesThe container belongs to main(). Inject the typed dependencies a service needs; otherwise tests need to build a real container.
Two providers for the same type without Namedig errors at Provide time. Either name them, or merge into a single provider that returns a dig.Out result struct.
Ignoring Provide errorsWrap each Provide with a must helper. A silent registration error becomes a missing-type error far later.
Using groups when ordering mattersGroups are unordered. If order matters (middleware chain, migration sequence), provide an explicit ordered slice with one constructor.
Constructors with side effects on importKeep init() empty — start work only inside the constructor, after the graph is built.

Testing

dig containers are cheap — build a fresh one per test, override providers with Decorate, and call Invoke to drive the system. For full patterns (per-test wiring, shared helpers, graph validation in CI, asserting wire-time errors, recovering from constructor panics), see testing.md.

Further Reading

  • advanced.md — Decorate, Scopes, optional deps, error helpers, Visualize, full Quick Reference
  • recipes.md — end-to-end examples: HTTP server with route group, two databases, request scopes, decorators, dry-run validation
  • testing.md — testing patterns and graph validation

Cross-References

  • → See samber/cc-skills-golang@golang-uber-fx skill for application lifecycle, modules, and signal-aware Run() built on top of dig
  • → See samber/cc-skills-golang@golang-dependency-injection skill for DI concepts and library comparison
  • → See samber/cc-skills-golang@golang-samber-do skill for a generics-based alternative without reflection
  • → See samber/cc-skills-golang@golang-google-wire skill for compile-time DI (no runtime container)
  • → See samber/cc-skills-golang@golang-structs-interfaces skill for interface design patterns
  • → See samber/cc-skills-golang@golang-testing skill for general testing patterns

If you encounter a bug or unexpected behavior in uber-go/dig, open an issue at https://github.com/uber-go/dig/issues.

来自 samber 的更多技能

golang-code-style
samber
Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).
developmentcode-review
golang-testing
samber
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI, or debugging flaky/slow tests. For testify-specific APIs see `samber/cc-skills-golang@golang-stretchr-testify`; for measurement methodology see...
developmenttestingcode-review
golang-design-patterns
samber
惯用的Go设计模式——函数选项、构造函数、错误流与级联、资源管理与生命周期、优雅关闭、弹性、架构、依赖注入、数据处理、流式处理等。适用于在架构模式间明确选择、实现函数选项、设计构造函数API、设置优雅关闭、应用弹性模式,或询问哪种惯用Go模式适合特定问题时。
developmentdesigncode-review
golang-error-handling
samber
Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops`...
developmentcode-review
golang-performance
samber
Golang性能优化模式与方法论——若存在X瓶颈,则应用Y方案。涵盖分配减少、CPU效率、内存布局、GC调优、池化、缓存及热路径优化。适用于性能分析或基准测试已识别瓶颈时,需采用正确优化模式进行修复。亦适用于执行性能代码审查时,提出改进建议或可帮助快速识别性能增益的基准测试。不适用于测量方法论(→...
developmentcode-review
golang-security
samber
Golang的安全最佳实践与漏洞防护,涵盖注入(SQL、命令、XSS)、密码学、文件系统安全、网络安全、Cookie、密钥管理、内存安全及日志记录。适用于编写、审查或审计Go代码的安全性,或处理涉及加密、I/O、密钥管理、用户输入处理或身份验证的高风险代码。包含安全工具的配置。
securitycode-reviewdevelopment
golang-database
samber
Go数据库访问全面指南——参数化查询、结构体扫描、可空列、事务、隔离级别、SELECT FOR UPDATE、连接池、批处理、上下文传播及迁移工具。适用于编写、审查或调试与PostgreSQL、MariaDB、MySQL或SQLite交互的Golang代码;数据库测试;或关于database/sql、sqlx或pgx的问题。不生成数据库模式或迁移SQL。
developmentdatabase
golang-lint
samber
Golang项目的lint最佳实践与golangci-lint配置——运行linter、配置.golangci.yml、使用nolint指令抑制警告、解读lint输出以及选择linter。适用于配置golangci-lint、询问lint警告或nolint抑制、设置代码质量工具或选择linter时使用。当用户提及golangci-lint、go vet、staticcheck或revive时也可使用。
developmentcode-reviewtesting