Build a distributed RPC reactive system using go-zero

Go-zero is a framework based on the Go language for building high-performance, distributed, scalable RPC (remote procedure call) reactive systems. It has a simple and easy-to-use API that makes it easy to build applications such as distributed services, asynchronous task processing, and microservices. In this article, we will learn how to build a distributed RPC reactive system using Go-zero.

1. What is RPC?

RPC is the abbreviation of Remote Procedure Call. It is a universal protocol used to communicate between different processes or different computers. RPC is a distributed computing technology that plays an important role in distributed systems.

RPC uses a method similar to local calling, so that a remote process can call a function in another process just like a local calling function. The remote process sends a request using the RPC framework and waits for a response to be returned. RPC is a general framework that can be used to communicate between various programming languages ​​and platforms.

2. Introduction to Go-zero

Go-zero is a framework based on the Go language for building high-performance, distributed, and scalable RPC systems. It can be used to build various types of applications, including distributed services, asynchronous task processing, microservices and other applications.

Go-zero provides a set of simple and easy-to-use APIs that can help developers quickly build distributed applications. These APIs include:

• Distributed coordinator: Provides the implementation of some distributed coordination algorithms, such as Zookeeper, Etcd, etc.
• Cache: Provides a cache service that can help reduce the number of database accesses.
• Configuration management: Provides a configuration management center that can centrally manage application configuration information.
• Asynchronous tasks: Provides an asynchronous task handler that can move time-consuming tasks to asynchronous threads for processing.
• RPC: Provides an RPC framework to help developers efficiently build distributed applications.

3. How to use Go-zero to build a distributed RPC reactive system

Using Go-zero to build a distributed RPC reactive system usually involves the following steps:

3.1 Define the data structure

Define the data structure to be used, such as defining the message body, request parameters and response results, etc.

3.2 Implement the server

Use the API provided by Go-zero to implement the server program, including:

• Implement the service method: process the request according to the request parameters, and return the response result.
• Register service: Register the service method to the server so that the client can call it.
• Start the service: Start the server and listen for requests from the client.

3.3 Implement the client

Use the API provided by Go-zero to implement the client program, including:

• Create a connection: use the network protocol and The server establishes a connection.
• Send request: Send a request to the server.
• Receive response: wait for the response, process the response result and return.

3.4 Configuration management and logging

Use the API provided by Go-zero to configure application parameters, such as database connection parameters, distributed lock management parameters, etc. At the same time, record the running log of the application to facilitate troubleshooting.

4. Notes

When using Go-zero to build a distributed RPC reactive system, you need to pay attention to the following points:

• Recommendations Stress test the server and client to verify scalability and performance.
• When using cache and distributed locks, please pay attention to data synchronization issues, especially between multiple servers.
• When using asynchronous task handlers, be sure to pay attention to the execution order of tasks and the dependencies between tasks.

In short, using Go-zero to develop distributed RPC responsive systems can help developers quickly build high-performance, scalable applications.

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