What are the go language rpc frameworks?

The go language rpc framework includes: 1. Go RPC, the framework that comes with the go language standard library, which provides simple and convenient RPC method calls; 2. gRPC, a framework developed by Google, can generate a variety of RPC client and server-side codes in different languages; 3. Micro, a microservice framework based on Go language, provides a powerful RPC toolkit; 4. Thrift, a cross-language framework developed by Apache, also supports Go language; 5 , KrakenD, an API gateway and RPC framework based on Go language.

The operating environment of this article: Windows 10 system, go1.20 version, DELL G3 computer.

As a programming language with high efficiency and excellent concurrency performance, Go language has attracted more and more developers. In the Go language ecosystem, the RPC (remote procedure call) framework is a very important component. The RPC framework is a tool used to implement communication between various services in a distributed system. It can easily encapsulate remote method calls into local method calls.

In the Go language, there are several popular RPC frameworks to choose from. In this article, these frameworks will be introduced and compared to help readers choose the RPC framework suitable for their own projects.

1. Go RPC

Go RPC is the RPC framework that comes with the Go language standard library. It provides simple and convenient RPC method calls, making it easy to define and implement remote method calls. Go RPC supports both TCP and HTTP protocols, and uses Gob encoding for data transmission. Although Go RPC is very simple and easy to use, but its functions are relatively limited. It only supports one-to-one synchronous calls and does not support asynchronous calls and load balancing.

2. gRPC

gRPC is an RPC framework developed by Google that can generate RPC client and server-side code in many different languages. gRPC can use Protobuf (Protocol Buffers) as a data serialization and transmission format, providing high performance and scalability. gRPC supports multiple transport protocols (such as HTTP/2, gRPC over HTTP/2, gRPC over TCP, etc.) and load balancing strategies, which can implement complex inter-service communication in distributed systems.

3. Micro

Micro is a microservice framework based on Go language, which provides a powerful RPC toolkit. Micro's RPC framework supports asynchronous calls, load balancing, service discovery and other functions. Micro also provides a set of code generation tools that can automatically generate RPC client and server code, simplifying the development process. In addition, Micro also integrates some other tools, such as event bus, configuration management, authentication and authorization, etc., to easily build and manage microservice architecture.

4. Thrift

Thrift is a cross-language RPC framework developed by Apache and also supports Go language. Thrift uses a custom IDL (Interface Definition Language) to describe interfaces and data structures, and supports code generation in multiple programming languages. Thrift provides a rich selection of data types and transport protocols, and supports efficient serialization and deserialization. Thrift also provides flexible load balancing and service discovery mechanisms, suitable for building large-scale distributed systems.

5. KrakenD

KrakenD is an API gateway and RPC framework based on Go language. It uses HTTP as the transmission protocol and supports multiple data formats (such as JSON, XML, Protobuf, etc.). KrakenD supports asynchronous and synchronous method calls, and provides a rich set of middleware plug-ins to implement authentication, current limiting, logging and other functions. KrakenD also provides an easy-to-use configuration file format that supports dynamic routing and load balancing.

In summary, according to the needs and scale of the project, you can choose the appropriate Go language RPC framework. If you only need simple RPC functionality, you can use Go RPC, it's easy to get started with and performs well. If you need to build complex distributed systems, you can choose frameworks such as gRPC, Micro, Thrift or KrakenD, which provide more functionality and flexibility. No matter which framework you choose, you should conduct a comprehensive evaluation and testing based on the needs of the project to choose the RPC framework that best suits you.

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