With the increasing popularity of web applications, real-time performance and data processing capabilities are becoming more and more important. As a fast and scalable NoSQL database, MongoDB has become one of the preferred databases for web applications. As a powerful front-end framework, Angular has made important contributions in the construction and interaction of applications. This article will introduce the best practices for building real-time web applications using Go language, MongoDB and Angular.
- Database model design
MongoDB is very flexible, has Dynamic schema, and has very little routine; when designing the database, more attention is paid to optimizing query, multi-index, data segmentation, etc. . For MongoDB data modeling, regularization is generally not necessary. On the contrary, the dynamic schema characteristics of NoSQL should be used as much as possible to display repeated data.
- Web API Design
Go language is a very suitable web application A procedural language, its simplicity and concurrency make it a popular choice. Generally speaking, we will use Go language to build Web API, and use MongoDB as the back-end database to process and store data. Go's standard library supports HTTP requests and responses very well, and its support for concurrency processing is also excellent. When designing a Web API, you need to pay attention to the following points:
- Determine the details and operations of the API: Design the API details, including the creation, update and deletion of various requests, and others Important operations.
- Determine the return format of the API: Define and clearly specify the return JSON format, including the fields and descriptions of the API return results and other metadata.
- Optimize the performance of the API: Determine the performance optimization strategy of the API , such as using caching and limiting response levels, etc.
- Angular Application Building
In fact, the main advantage of Angular is its modular design. Since real-time web applications tend to process large amounts of data, the construction of Angular applications needs to focus on the following points:
- Analyze the needs and requirements of the application first to avoid building unnecessary functionality and modules.
- Use base modules to inject Angular plug-ins and implement combinations between components.
- Pay attention to the performance of Angular applications: Optimize the performance of the application, such as using rotation training and long-term as little as possible Connection etc.
- Real-time communication and event processing
For applications that process real-time data, the most commonly used method is to implement real-time communication through open source libraries such as WebSocket and Socket.io. Commonly used libraries The information is as follows:
- Use gorilla/websocket to build the WebSocket server, and use the JavaScript client.
- Use Socket.io for better performing WebSockets and polling.
- Write test cases
To write test cases well, it involves the following aspects:
- Go information and Angular code code Written separately to make it easy to test.
- Use Go's built-in testing capabilities for integration testing.
- Write some unit tests for the web application and database operations.
- Run diagnostic tests to monitor performance and security.
To sum up, the Go language, MongoDB and Angular are a very powerful web application technology stack that can build efficient, highly scalable real-time web applications. By paying special attention to the best practices mentioned above, you can use these technologies to build excellent web applications.
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