In-depth study of performance optimization of Java frameworks and front-end frameworks

Performance optimization of Java and front-end frameworks: Java framework optimization: use efficient data structures, optimize database queries, utilize asynchronous programming, cache results, and enable garbage collection. Front-end framework optimization: Choose lightweight frameworks, optimize images, minimize the number of requests, leverage browser caching, and enable GZIP compression.

In-depth study of performance optimization of Java frameworks and front-end frameworks

Performance optimization is a key aspect in modern web application development. This guide will take an in-depth look at how to leverage Java frameworks and front-end frameworks to optimize the performance of web applications.

Java Framework Optimization

• Use efficient data structures: Choose appropriate collection and mapping types to avoid unnecessary packaging and solution box operation.
• Optimize database queries: Use indexes, avoid nested and overly long queries, and consider using query caching.
• Take advantage of asynchronous programming: Non-blocking I/O libraries such as Netty can significantly improve concurrency and response time.
• Cached results: Use a local cache or distributed cache system to store frequently accessed data to avoid repeated queries.
• Enable garbage collection mechanism: Optimize the garbage collection algorithm to reduce pause time and improve application responsiveness.

Practical case: Using Spring Cache in Spring Boot:

@Cacheable("users")
public User getUserById(Long id) {
    // 从数据库获取用户
}

By using the @Cacheable annotation, Spring Boot will automatically getUserById() The result of the method is stored in the cache.

Front-end framework optimization

• Choose lightweight frameworks: Avoid using frameworks with a lot of overhead that will affect page loading time.
• Optimize images: Use the correct image format, size and compression algorithm.
• Minimize the number of requests: Combine CSS and JavaScript files and use a CDN to reduce load times.
• Take advantage of browser caching: Set appropriate cache headers to allow the browser to store static resources.
• Enable GZIP compression: Enable server-side GZIP compression to reduce response size and speed up loading.

Practical case: Lazy loading of images in Vue.js:

vue-lazyload

plug-in provided by <pre class='brush:javascript;toolbar:false;'>&lt;template&gt; &lt;img v-lazy=&quot;src&quot; alt=&quot;In-depth study of performance optimization of Java frameworks and front-end frameworks&quot; &gt; &lt;/template&gt; &lt;script&gt; import VueLazyload from 'vue-lazyload' Vue.use(VueLazyload, { lazyComponent: true }) &lt;/script&gt;</pre>Vue.js You can delay loading images until they appear in the viewport.

Other Optimizations

• Performance Benchmarking: Conduct regular benchmarks to identify bottlenecks and measure optimization effects.
• Enable logging: Log errors and latency issues to aid in troubleshooting and continuous improvement.
• Monitor your application: Use APM tools to monitor your application's performance and identify any potential issues.

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