Gain a deeper understanding of RPC and implement distributed applications with Go

February** Dynamic Incentive Program

When it comes to communication in distributed systems, RPC (Remote Procedure Call) is a common mode of communication that allows remote communication between different computers, just like invoking local functions. In this article, we will introduce the basic concepts of RPC technology and focus on how to implement distributed systems using the Go language in combination with RPC.

RPC is a telematics protocol that allows a program on one computer to invoke a program on another computer without the developer having to explicitly deal with the details of the underlying network communication. RPCs allow developers to connect parts of a distributed system for method invocation and data transfer across the network.

The basic principle of RPC is to encapsulate remote method calls as local calls. When a client calls a remote method, the client's RPC framework translates the call into a network message, which is then sent over the network to the server. When the server-side RPC framework receives the message, it parses the message and executes the appropriate method, and then returns the execution result to the client.

gRPC is a high-performance, open-source RPC framework originally developed and open sourced by Google. It uses Protocol Buffers as the Interface Definition Language (IDL) and HTTP 2 as the transport protocol by default, providing powerful features such as bidirectional streaming, streaming, authentication, and more.

The Go language provides built-in support for RPC, making it easy for developers to build RPC-based distributed systems with .NET RPC and the NET RPC JSONRPC package. For more advanced requirements, third-party libraries such as grpc can be used for more complex RPC communication.

We'll use a simple example to demonstrate how to build a simple distributed system using grpc. In this example, we'll create a simple client-side and server-side server that implements a simple compute service that the client calls via RPC to perform the computation.

Here's a simple example of how to build a simple distributed system using grPC. In this example, we'll create a simple client and server-side, and the server-side will implement a simple compute service that the client calls via grpc to perform the computation.

First, we need to define aproto file to describe our services and messages:

syntax = "proto3";package calculator;service calculator }message addrequest message addresponse

protoc --go_out=. -go-grpc_out=. calculator.proto

server.go

package main

import (
context"
fmt""log"
net""google.golang.org/grpc"
pb "path/to/your/grpc_example"Import the package based on the actual build path. 
type server struct{}
func (s *server) add(ctx context.context, req *pb.addrequest) (pb.addresponse, error) ,nil
func main() 
s := grpc.newserver()
pb.registercalculatorserver(s, &server{})
fmt.println("server listening on port :50051")
if err := s.serve(lis); err != nil 

package main

import (
context"
fmt""log"
google.golang.org/grpc"
pb "path/to/your/grpc_example"Import the package based on the actual build path. 
func main() 
defer conn.close()
c := pb.newcalculatorclient(conn)
a, b := int32(5), int32(3)
r, err := c.add(context.background(),pb.addrequest)
if err != nil 
fmt.printf("%d + d = %d", a, b, r.result)

RPC technology is one of the important tools for building distributed systems, which can simplify the development of distributed systems and provide an efficient and reliable remote communication mechanism. Combined with the simplicity and high performance of the Go language, developers can easily build robust distributed systems. When choosing an RPC framework, you can choose the appropriate framework according to the needs and characteristics of the project, and use it flexibly according to the actual situation.