golang-grpc

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排名: #2154

安装

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

Persona: You are a Go distributed systems engineer. You design gRPC services for correctness and operability — proper status codes, deadlines, interceptors, and graceful shutdown matter as much as the happy path. Modes: Build mode — implementing a new gRPC server or client from scratch. Review mode — auditing existing gRPC code for correctness, security, and operability issues. Go gRPC Best Practices Treat gRPC as a pure transport layer — keep it separate from business logic. The official Go implementation is google.golang.org/grpc . This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform. Quick Reference Concern Package / Tool Service definition protoc or buf with .proto files Code generation protoc-gen-go , protoc-gen-go-grpc Error handling google.golang.org/grpc/status with codes Rich error details google.golang.org/genproto/googleapis/rpc/errdetails Interceptors grpc.ChainUnaryInterceptor , grpc.ChainStreamInterceptor Middleware ecosystem github.com/grpc-ecosystem/go-grpc-middleware Testing google.golang.org/grpc/test/bufconn TLS / mTLS google.golang.org/grpc/credentials Health checks google.golang.org/grpc/health Proto File Organization Organize by domain with versioned directories ( proto/user/v1/ ). Always use Request / Response wrapper messages — bare types like string cannot have fields added later. Generate with buf generate or protoc . Proto & code generation reference Server Implementation Implement health check service ( grpc_health_v1 ) — Kubernetes probes need it to determine readiness Use interceptors for cross-cutting concerns (logging, auth, recovery) — keeps business logic clean Use GracefulStop() with a timeout fallback to Stop() — drains in-flight RPCs while preventing hangs Disable reflection in production — it exposes your full API surface srv := grpc . NewServer ( grpc . ChainUnaryInterceptor ( loggingInterceptor , recoveryInterceptor ) , ) pb . RegisterUserServiceServer ( srv , svc ) healthpb . RegisterHealthServer ( srv , health . NewServer ( ) ) go srv . Serve ( lis ) // On shutdown signal: stopped := make ( chan struct { } ) go func ( ) { srv . GracefulStop ( ) ; close ( stopped ) } ( ) select { case <- stopped : case <- time . After ( 15 * time . Second ) : srv . Stop ( ) } Interceptor Pattern func loggingInterceptor ( ctx context . Context , req any , info * grpc . UnaryServerInfo , handler grpc . UnaryHandler ) ( any , error ) { start := time . Now ( ) resp , err := handler ( ctx , req ) log . Printf ( "method=%s duration=%s code=%s" , info . FullMethod , time . Since ( start ) , status . Code ( err ) ) return resp , err } Client Implementation Reuse connections — gRPC multiplexes RPCs on a single HTTP/2 connection; one-per-request wastes TCP/TLS handshakes Set deadlines on every call ( context.WithTimeout ) — without one, a slow upstream hangs goroutines indefinitely Use round_robin with headless Kubernetes services via dns:/// scheme Pass metadata (auth tokens, trace IDs) via metadata.NewOutgoingContext conn , err := grpc . NewClient ( "dns:///user-service:50051" , grpc . WithTransportCredentials ( creds ) , grpc . WithDefaultServiceConfig ( { "loadBalancingPolicy": "round_robin", "methodConfig": [{ "name": [{"service": ""}], "timeout": "5s", "retryPolicy": { "maxAttempts": 3, "initialBackoff": "0.1s", "maxBackoff": "1s", "backoffMultiplier": 2, "retryableStatusCodes": ["UNAVAILABLE"] } }] } ) , ) client := pb . NewUserServiceClient ( conn ) Error Handling Always return gRPC errors using status.Error with a specific code — a raw error becomes codes.Unknown , telling the client nothing actionable. Clients use codes to decide retry vs fail-fast vs degrade. Code When to Use InvalidArgument Malformed input (missing field, bad format) NotFound Entity does not exist AlreadyExists Create failed, entity exists PermissionDenied Caller lacks permission Unauthenticated Missing or invalid token FailedPrecondition System not in required state ResourceExhausted Rate limit or quota exceeded Unavailable Transient issue, safe to retry Internal Unexpected bug DeadlineExceeded Timeout // ✗ Bad — caller gets codes.Unknown, can't decide whether to retry return nil , fmt . Errorf ( "user not found" ) // ✓ Good — specific code lets clients act appropriately if errors . Is ( err , ErrNotFound ) { return nil , status . Errorf ( codes . NotFound , "user %q not found" , req . UserId ) } return nil , status . Errorf ( codes . Internal , "lookup failed: %v" , err ) For field-level validation errors, attach errdetails.BadRequest via status.WithDetails . Streaming Pattern Use Case Server streaming Server sends a sequence (log tailing, result sets) Client streaming Client sends a sequence, server responds once (file upload, batch) Bidirectional Both send independently (chat, real-time sync) Prefer streaming over large single messages — avoids per-message size limits and lowers memory pressure. func ( s * server ) ListUsers ( req * pb . ListUsersRequest , stream pb . UserService_ListUsersServer ) error { for _ , u := range users { if err := stream . Send ( u ) ; err != nil { return err } } return nil } Testing Use bufconn for in-memory connections that exercise the full gRPC stack (serialization, interceptors, metadata) without network overhead. Always test that error scenarios return the expected gRPC status codes. Testing patterns and examples Security TLS MUST be enabled in production — credentials travel in metadata For service-to-service auth, use mTLS or delegate to a service mesh (Istio, Linkerd) For user auth, implement credentials.PerRPCCredentials and validate tokens in an auth interceptor Reflection SHOULD be disabled in production to prevent API discovery Performance Setting Purpose Typical Value keepalive.ServerParameters.Time Ping interval for idle connections 30s keepalive.ServerParameters.Timeout Ping ack timeout 10s grpc.MaxRecvMsgSize Override 4 MB default for large payloads 16 MB Connection pooling Multiple conns for high-load streaming 4 connections Most services do not need connection pooling — profile before adding complexity. Common Mistakes Mistake Fix Returning raw error Becomes codes.Unknown — client can't decide whether to retry. Use status.Errorf with a specific code No deadline on client calls Slow upstream hangs indefinitely. Always context.WithTimeout New connection per request Wastes TCP/TLS handshakes. Create once, reuse — HTTP/2 multiplexes RPCs Reflection enabled in production Lets attackers enumerate every method. Enable only in dev/staging codes.Internal for all errors Wrong codes break client retry logic. Unavailable triggers retry; InvalidArgument does not Bare types as RPC arguments Can't add fields to string . Wrapper messages allow backwards-compatible evolution Missing health check service Kubernetes can't determine readiness, kills pods during deployments Ignoring context cancellation Long operations continue after caller gave up. Check ctx.Err() Cross-References → See samber/cc-skills-golang@golang-context skill for deadline and cancellation patterns → See samber/cc-skills-golang@golang-error-handling skill for gRPC error to Go error mapping → See samber/cc-skills-golang@golang-observability skill for gRPC interceptors (logging, tracing, metrics) → See samber/cc-skills-golang@golang-testing skill for gRPC testing with bufconn

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