编程

golang-uber-dig

试用

用 uber-go/dig 反射容器组装 Go 应用的对象图。

它能做什么

在 Go 应用中以 uber-go/dig 为反射式依赖注入容器组装对象图。通过 Provide 注册构造函数,用 Invoke 按需解析,借助 dig.In 与 dig.Out 结构体把多个输入输出聚合在一起。支持命名值、值组、可选依赖、作用域、Decorate,以及用 dig.As 把具体类型暴露成接口。构造函数是惰性且带记忆的——同一输出类型在每个容器里只构建一次,后续按单例复用。错误以返回值方式上报,并被 dig 包装上触发该错误的依赖路径,而非 panic。容器只适合放在组合根,不内置生命周期、模块系统或信号处理——这些能力由 uber-go/fx 在 dig 之上提供。

什么时候用它

  • 在 Go 服务里引入 uber-go/dig,把容器放在 main 组合根
  • 启动期用 Provide 与 Invoke 把整个依赖图连接起来
  • 把 HTTP handler、健康检查、迁移脚本等聚合成值组统一消费
  • 用 dig.As 把具体实现隐藏在接口后面,只暴露窄接口

技能文档

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 .

常见问题

dig 自带生命周期钩子或信号处理吗?
不带。dig 只是 DI 引擎——没有 OnStart/OnStop,没有模块系统,也没有信号感知的运行循环。长跑服务( HTTP server、worker、守护进程 )建议在 dig 之上用 uber-go/fx。
什么时候该用 dig.In 而不是普通参数?
构造函数依赖达到 4 个以上时。把 dig.In 嵌入结构体,用 name:、optional:"true"、group:"..." 等字段标签把命名值、可选依赖、值组统一聚合,新增依赖也只需加一行字段。
构造函数会被多次调用吗?
不会。构造函数是惰性且带记忆的,同一输出类型在每个容器里只构造一次,后续解析都复用同一个实例,等同容器内单例。

相关技能

用 uber-go/fx 装配 Go 长时服务:DI 容器、生命周期钩子、模块化、信号感知 Run。

14 次安装

使用 google/wire 为 Go 项目做编译期依赖注入,通过代码生成在编译前捕获缺失依赖。

20 次安装

使用 samber/do v2 为 Go 项目搭建类型安全的依赖注入容器

24 次安装

Golang package and module documentation and exploration via `godig`, a pkg.go.dev API client (CLI + MCP server) — package docs, API references, symbols, code examples, available versions, importers (who imports a package), licenses, and known vulnerabilities. Read-only, no auth. Use for looking up any Go/Golang library's documentation, API signatures, usage examples, which versions exist, whether a dependency has CVEs, or who imports a package — prefer this over Context7 for any Go package or module. Triggers on: how to use a Go library, Go API docs, import usage, code examples, pkg.go.dev. Not for upgrading dependencies (→ See `samber/cc-skills-golang@golang-dependency-management` skill) or choosing a library (→ See `samber/cc-skills-golang@golang-popular-libraries` skill). Not for local symbols, or for navigating an already-used dependency's resolved source, call sites, or generic instantiations — → See `samber/cc-skills-golang@golang-gopls` skill for those.

1 次安装

Recommends production-ready Golang libraries and frameworks. Apply when the user explicitly asks for library suggestions, wants to compare alternatives, needs to choose a library for a specific task, or when a new dependency is being added to the project.

52 次安装