Which golang rpc is better?

With the development of distributed systems and cloud computing, remote procedure call (RPC) has become an important communication method. Many programming languages ​​provide their own RPC frameworks, and among these frameworks, the RPC framework of the Go language is highly respected.

Before using Go language for RPC development, we need to understand some basic knowledge about RPC. RPC is the abbreviation of Remote Procedure Call, which is a computer communication protocol. Through RPC, we can remotely call certain functions in the program, and we can call functions or methods remotely just like calling local functions.

Go language introduced its own RPC framework - net/rpc package in version 1.7. Compared with the RPC framework of other languages, the RPC framework of the Go language has the following advantages:

1. Simple and easy to use: The RPC framework of the Go language is very easy to use. It only requires two files - server and client, and the framework itself is integrated into the standard library.

2. High performance: Go language is a compiled language with very high performance. In the case of multiple concurrent requests, the RPC framework of the Go language can provide very high performance and throughput.

3. Support multiple protocols: The RPC framework of Go language supports multiple transmission protocols, such as TCP, HTTP, etc.

Let’s take a look at some popular RPC frameworks in the Go language.

1. net/rpc

The net/rpc package is the RPC framework that comes with the standard library in the Go language. It is a simple and easy-to-use RPC framework. Through this framework, we can easily create and communicate with an RPC server and client.

When using the net/rpc package, you need to first define an RPC server object and register the methods that need to be called remotely into this server object. After registration is completed, the server listens to the specified port and waits for the client to connect.

After the client connects to the server, it can make remote calls through the methods provided by the server. The server will execute these methods and return the results to the client.

The net/rpc package is very simple to use, but its function is relatively weak and only supports a single transmission protocol, such as TCP.

2. GRPC

GRPC is an RPC framework launched by Google. It is a cross-platform, high-performance RPC framework that supports multiple languages, including Go.

GRPC uses Protocol Buffers as the data format, which makes transmitting data very efficient. It also supports multiple transport protocols, such as TCP, HTTP2, etc. GRPC not only provides basic RPC functions, but also provides advanced features such as load balancing and flow control, which can help us better build distributed systems.

GRPC supports multiple languages. It is very convenient to use GRPC in Go language. You only need to use the code generation tool provided by GRPC to easily generate client and server code.

3. Go-Micro

Go-Micro is an RPC framework based on microservice architecture. It provides a set of tools and components required for microservices to run. Such as service registration, discovery, load balancing, pluggable transport layer, etc.

Go-Micro uses protobuf as the data format, supports multiple transmission protocols, and provides a variety of plug-ins, such as Zipkin plug-ins, Prometheus plug-ins, etc., which can be easily added and integrated into existing systems.

4. TarsGo

TarsGo is Tencent’s open source RPC framework, which is implemented based on the Tars protocol and Go language. Tars is Tencent's own distributed service framework. It is widely used within Tencent. After years of development and upgrades, it has formed a complete ecosystem.

TarsGo can support multiple transmission protocols and multiple languages, and provides a wealth of development tools and components, such as IDL tools, code generation tools, service governance centers, etc.

Summary:

When choosing an RPC framework, we need to comprehensively consider the function, performance, ease of use and other factors of the framework. For applications that use Go language for RPC development, net/rpc is a very good choice. It is simple and easy to use and can meet most RPC needs.

If we need higher performance and richer features, we can consider using GRPC or Go-Micro. And if our application requires more complex functions, such as service governance, fault tolerance, etc., we can choose TarsGo.

In short, when choosing an RPC framework, we need to choose according to our own needs. Choosing an RPC framework that meets our own needs can help us better build distributed systems and cloud applications.

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