gRPC Metotlarını Uygulama ve Kullanma
Tekli istek/yanıt çağrıları için @GrpcMethod işleyicilerini ve ClientGrpc vekillerini bağlayın.
gRPC Metotlarını Uygulama ve Kullanma, CoddyKit'te ücretsiz bir NestJS Enterprise Backend APIs dersidir. Bu, 4 dersinin 2. dersidir. Aşağıdan dersin tamamını ücretsiz okuyabilir, sonra tarayıcıda yerleşik kod editörü ve 7/24 yapay zeka koçu ile uygulamalı olarak pratik yapabilirsin. Bu, NestJS Enterprise Backend APIs öğrenme yolunun bir parçasıdır ve ilerlemeniz web ve CoddyKit uygulaması arasında senkronize olur. NestJS Enterprise Backend APIs kursu toplamda 4 dersten oluşur.
Bu dersin bazı bölümleri henüz çevrilmemiş olup İngilizce olarak gösterilmektedir.
Unary gRPC in NestJS
gRPC services in NestJS are defined by a .proto contract and implemented as ordinary providers decorated with gRPC handler metadata. The most common interaction is the unary call: the client sends a single request message and receives a single response message.
- The server exposes handlers via
@GrpcMethod(or@GrpcStreamMethodfor streams). - The client obtains a typed proxy through
ClientGrpc.getService()and calls methods that return Observables.
In this lesson we wire both ends of a unary request/response flow for an enterprise-style UsersService.
The .proto contract
Everything starts with the service contract. The package name and the service / rpc names are what NestJS uses to bind handlers and to resolve the client proxy.
package usersmaps to the transport optionpackage: 'users'.FindOneis the RPC NestJS will route to a matching handler.
syntax = "proto3";
package users;
service UsersService {
rpc FindOne (UserById) returns (User) {}
}
message UserById {
int32 id = 1;
}
message User {
int32 id = 1;
string name = 2;
string email = 3;
}Configuring the gRPC microservice
On the server, you start a microservice with the GRPC transport. The two critical options are package (must match the .proto package) and protoPath (where the contract lives).
urlsets the bind address; default islocalhost:5000.- You can pass an array of packages and proto paths for multi-service apps.
import { NestFactory } from '@nestjs/core';
import { Transport, MicroserviceOptions } from '@nestjs/microservices';
import { join } from 'path';
import { AppModule } from './app.module';
async function bootstrap() {
const app = await NestFactory.createMicroservice<MicroserviceOptions>(
AppModule,
{
transport: Transport.GRPC,
options: {
package: 'users',
protoPath: join(__dirname, 'users.proto'),
url: '0.0.0.0:5000',
},
},
);
await app.listen();
}
bootstrap();Implementing a @GrpcMethod handler
A controller method becomes a unary RPC handler when you annotate it with @GrpcMethod. The decorator takes the service name and optionally the method name.
- If you omit the method name, NestJS uses the PascalCase of the handler method name (so a method named
findOnebinds toFindOne). - The first argument is the deserialized request message; you simply return the response object (or a Promise/Observable of it).
import { Controller } from '@nestjs/common';
import { GrpcMethod } from '@nestjs/microservices';
interface UserById { id: number; }
interface User { id: number; name: string; email: string; }
@Controller()
export class UsersController {
private readonly users: User[] = [
{ id: 1, name: 'Ada', email: 'ada@corp.io' },
{ id: 2, name: 'Linus', email: 'linus@corp.io' },
];
@GrpcMethod('UsersService', 'FindOne')
findOne(data: UserById): User {
return this.users.find((u) => u.id === data.id);
}
}Method name resolution rules
Binding depends entirely on naming. Get this wrong and the call fails at runtime with an UNIMPLEMENTED error.
- Service name in
@GrpcMethod('UsersService')must match theservicein the.proto. - Method name: explicit second arg wins; otherwise the handler method name is capitalized to PascalCase.
For clarity in enterprise code, prefer passing both arguments explicitly so renames of the TypeScript method cannot silently break the wire contract.
Registering the client with ClientsModule
To consume a gRPC service, register a client in the consuming module. Each entry gets a name (an injection token) and the same transport options as the server.
packageandprotoPathpoint at the same contract the server uses.urltargets the server's bind address.
import { Module } from '@nestjs/common';
import { ClientsModule, Transport } from '@nestjs/microservices';
import { join } from 'path';
import { ApiController } from './api.controller';
@Module({
imports: [
ClientsModule.register([
{
name: 'USERS_PACKAGE',
transport: Transport.GRPC,
options: {
package: 'users',
protoPath: join(__dirname, 'users.proto'),
url: 'users-svc:5000',
},
},
]),
],
controllers: [ApiController],
})
export class ApiModule {}Getting the typed proxy with ClientGrpc
The injected client is a ClientGrpc instance, not the service itself. You must call getService() once the module is ready to obtain the strongly-typed proxy.
- Resolve the proxy in
onModuleInitso it exists before any request is handled. - The generic argument (
UsersServiceClient) gives you full type safety on method calls.
import { Controller, Inject, OnModuleInit } from '@nestjs/common';
import { ClientGrpc } from '@nestjs/microservices';
import { Observable } from 'rxjs';
interface User { id: number; name: string; email: string; }
interface UsersServiceClient {
findOne(data: { id: number }): Observable<User>;
}
@Controller('users')
export class ApiController implements OnModuleInit {
private usersService: UsersServiceClient;
constructor(@Inject('USERS_PACKAGE') private client: ClientGrpc) {}
onModuleInit() {
this.usersService = this.client.getService<UsersServiceClient>('UsersService');
}
}Calling a unary method returns an Observable
The proxy's methods are generated from the .proto and each returns an RxJS Observable, even for unary calls. NestJS can return the Observable directly from an HTTP handler, or you can convert it to a Promise.
- Use
firstValueFromfrom RxJS when you needasync/awaitergonomics. - The proxy method name is the camelCase of the RPC (
FindOne→findOne).
import { Controller, Get, Param, Inject, OnModuleInit } from '@nestjs/common';
import { ClientGrpc } from '@nestjs/microservices';
import { firstValueFrom, Observable } from 'rxjs';
interface User { id: number; name: string; email: string; }
interface UsersServiceClient {
findOne(data: { id: number }): Observable<User>;
}
@Controller('users')
export class ApiController implements OnModuleInit {
private usersService: UsersServiceClient;
constructor(@Inject('USERS_PACKAGE') private client: ClientGrpc) {}
onModuleInit() {
this.usersService = this.client.getService<UsersServiceClient>('UsersService');
}
@Get(':id')
async getUser(@Param('id') id: string): Promise<User> {
return firstValueFrom(this.usersService.findOne({ id: Number(id) }));
}
}Why camelCase vs PascalCase matters
There are two distinct name transformations and mixing them up is a frequent bug source:
- Server side:
@GrpcMethodbinds to the PascalCase RPC name (FindOne). - Client side: the proxy exposes the camelCase method (
findOne) regardless of how the RPC is spelled in the proto.
So you call usersService.findOne(...) on the client even though the RPC and the server handler reference FindOne.
Mapping the Observable pipeline
Because unary calls return Observables, you can compose them with RxJS operators before exposing the result. This is idiomatic when you need to reshape or enrich the gRPC response.
- This pure RxJS example mirrors the shape of a gRPC unary response without needing a running server, so it can execute standalone.
import { of, firstValueFrom } from 'rxjs';
import { map } from 'rxjs/operators';
interface User { id: number; name: string; email: string; }
// Simulates this.usersService.findOne({ id: 1 })
function findOne(data: { id: number }) {
const row: User = { id: data.id, name: 'Ada', email: 'ada@corp.io' };
return of(row);
}
async function main() {
const dto = await firstValueFrom(
findOne({ id: 1 }).pipe(
map((u) => ({ userId: u.id, label: `${u.name} <${u.email}>` })),
),
);
console.log(JSON.stringify(dto));
}
main();Handling errors with gRPC status codes
In enterprise services you should surface domain failures as proper gRPC statuses, not generic exceptions. Throw an RpcException with a numeric code from @grpc/grpc-js so callers can react deterministically.
status.NOT_FOUND(5) for a missing entity,status.INVALID_ARGUMENT(3) for bad input.- The client receives the status on the Observable's error channel.
import { Controller } from '@nestjs/common';
import { GrpcMethod, RpcException } from '@nestjs/microservices';
import { status } from '@grpc/grpc-js';
interface UserById { id: number; }
interface User { id: number; name: string; email: string; }
@Controller()
export class UsersController {
private readonly users: User[] = [
{ id: 1, name: 'Ada', email: 'ada@corp.io' },
];
@GrpcMethod('UsersService', 'FindOne')
findOne(data: UserById): User {
const found = this.users.find((u) => u.id === data.id);
if (!found) {
throw new RpcException({
code: status.NOT_FOUND,
message: `User ${data.id} not found`,
});
}
return found;
}
}Quick Check
You implemented a server handler with @GrpcMethod('UsersService', 'FindOne'). On the consuming side you injected a ClientGrpc and called getService<UsersServiceClient>('UsersService'). Which method name do you invoke on the returned proxy to trigger this RPC?
Recap
You wired a complete unary gRPC flow in NestJS:
- Defined the contract in a
.protowith apackage,service, andrpc. - Started a
Transport.GRPCmicroservice and implemented the handler with@GrpcMethod('UsersService', 'FindOne'), returning the response object. - Registered a client via
ClientsModule.register, resolved the typed proxy inonModuleInitwithClientGrpc.getService(). - Called the camelCase proxy method, which returns an Observable — convertible with
firstValueFrom. - Reported failures with
RpcExceptionand proper gRPCstatuscodes.
Remember the naming split: server binds PascalCase, client calls camelCase.
Sıkça Sorulan Sorular
“gRPC Metotlarını Uygulama ve Kullanma” dersi ücretsiz mi?
Evet — “gRPC Metotlarını Uygulama ve Kullanma” dersin tüm metni burada web'de ücretsiz olarak okunabilir. Etkileşimli olarak pratik yapmak (yerleşik kod editörü ve 7/24 yapay zeka koçu) ve NestJS Enterprise Backend APIs kursunun geri kalanını açmak için CoddyKit PRO'ya yükselt. NestJS Enterprise Backend APIs kursu toplamda 4 dersten oluşur.
“gRPC Metotlarını Uygulama ve Kullanma” dersinde ne öğreneceğim?
Tekli istek/yanıt çağrıları için @GrpcMethod işleyicilerini ve ClientGrpc vekillerini bağlayın. NestJS Enterprise Backend APIs ile uygulamalı kodu tarayıcıda doğrudan çalıştırarak pratik yaparsın ve 7/24 yapay zeka koçu dersi çalışırken sorularını yanıtlar.
NestJS Enterprise Backend APIs öğrenmeye başlamak için deneyim gerekli mi?
Önceden deneyim gerekmez. CoddyKit'te NestJS Enterprise Backend APIs, başlangıçtan ileri seviyeye kadar yapılandırıldığı için buradan başlayabilir veya başından başlayıp kendi hızında ilerleme yapabilirsin. Bu, 4 dersinin 2. dersidir.
“gRPC Metotlarını Uygulama ve Kullanma” dersi ne kadar sürer?
Çoğu CoddyKit dersi yaklaşık 5–10 dakika sürer. Her biri kısa ve etkileşimli olduğu için sabit ilerleme yaparsın ve web ile uygulama arasında tam olarak bıraktığın yerden devam edebilirsin.
Bu NestJS Enterprise Backend APIs dersinde kod yazıp çalıştırabilir miyim?
Evet. Her NestJS Enterprise Backend APIs dersi yerleşik bir kod editörü içerir, bu sayede tarayıcıda gerçek kod yazıp çalıştırabilir ve anlık yapay zeka geri bildirimi alırsın — yerel kurulum gerekli değildir.
Bu kursun tüm dersleri
- Protobuf'ta Hizmetleri ve Mesajları Tanımlama
- gRPC Metotlarını Uygulama ve Kullanma
- Akış RPC'leri ve Geri Basınç
- Sözleşme Gelişimi ve Geriye Dönük Uyumluluk