What are the commonly used middlewares in Go language?

Go language, as an efficient and concise programming language, also has its own set of solutions for the selection of middleware. As the infrastructure for building Web services, middleware can play a key role in the performance, functionality, and security of large-scale Web applications. In this article, we will introduce commonly used middleware in Go language.

1. Web Framework

The Web framework is an important part of middleware. It simplifies the development of Web applications by providing functions such as routing, template engines, and controllers. In the Go language, the most popular web frameworks are as follows:

1. Gin

Gin is a lightweight web framework based on httprouter, with fast Features such as route matching, middleware support, optional rendering and error management. Its performance is very good and it is used by a large number of Go language developers.

2. Echo

Echo is a simple, efficient, easy-to-use Web framework that supports fast routing, middleware, templates, WebSocket and other functions. Its design integrates the strong typing features and efficient capabilities of the Go language.

3. Beego

Beego is a Web framework based on the MVC design pattern. It comes with an ORM framework (the Go language provides fewer ORM frameworks) and supports multiple storage systems. Memory, ORM and cache drivers have built-in practical functions such as internationalization and verification. It is widely used by developers worldwide.

2. Log

The Go language logger is very convenient. It can record the running status and error information of the application to facilitate troubleshooting and future maintenance. The following are several very popular Go language logging frameworks:

1. Logrus

Logrus is a logging library that is very simple to use and has a large number of customization options. Able to automatically write logs to standard output, files, graylog, syslog and other places.

2. Zap

Zap is a high-performance log library developed by Uber. Compared with Logrus, it has significant performance optimization. The characteristic of Zap is that it supports typed logging, which avoids the uncontrollable factors of ordinary string splicing logs.

3. Caching

Cache is an important means to optimize the performance of Web services. Most Web applications use caching. In the Go language, the following caching tools also have a high usage rate:

1. Redis

Redis is an in-memory data structure storage that supports multiple data types. The system supports data persistence and is generally used as a cache server. There are many choices for Redis drivers in Go language, such as Go-Redis, Redigo, etc.

2. Memcached

Memcached is an in-memory data caching system and one of the caching methods widely used in Web services. Memcached drivers in Go language include Go-Memcache and so on.

4. ORM

ORM (Object-Relational Mapping) is a programming technology that maps relational database data to objects, which facilitates developers to operate objects without having to deal with the details of the underlying database operations. The ORM frameworks in Go language include the following:

1. Gorm

Gorm is an open source ORM framework with good flexibility and supports MySQL, PostgreSQL, SQLite and other database types.

2. Xorm

optimization.

5. Security

Security is always a factor that cannot be ignored in Web service development. In the Go language, some familiar and highly used encryption middleware are as follows:

1. bcrypt

bcrypt is a password hash function library that can hash passwords. column (hash), thereby reducing the impact of password leakage after the database is attacked.

2. jwt

JWT (JSON Web Tokens) is a concise and self-contained method for transmitting security information between communicating parties, with high reliability sex.

Summary

The above are the more commonly used middleware in the Go language. These middleware are widely used in the development process of many Web applications, improving the development efficiency, maintainability and performance of Web applications, and greatly simplifying the development difficulty of Web applications.

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