Home Java javaTutorial From data caching to page caching: A comprehensive guide to Java caching technology

From data caching to page caching: A comprehensive guide to Java caching technology

Jun 19, 2023 pm 07:28 PM
Data cache java caching technology Page cache

In modern software development, caching technology has become one of the key technologies. As one of the most popular programming languages ​​currently, Java also has a very rich caching technology library. This article will introduce a comprehensive strategy for Java caching technology from data caching to page caching.

1. Data caching technology

Data caching technology is the most widely used caching technology. The principle is to store frequently used data in memory. When the program accesses the data, it first searches for the data in the memory. If it is found, it returns directly. Otherwise, it loads the data from the disk or network. The most commonly used data caching technologies in Java are Ehcache and Redis.

1.1 Ehcache

Ehcache is a high-performance open source caching software written in Java and is widely used in various Java applications. The way Ehcache handles data is to store data in heap memory. When the heap memory cannot meet the demand, it will overflow into off-heap memory. Compared with other caching technologies, Ehcache has a more efficient memory management mechanism, so its performance is excellent. At the same time, Ehcache supports many advanced features such as distributed caching and data persistence, making it one of the best choices for Java caching technology.

1.2 Redis

Redis is an open source caching software that uses memory as a data storage medium. Different from Ehcache, Redis's data persistence method is relatively more complex, including AOF and RDB. a persistence method. The AOF method serializes all write operations into log files, while RDB regularly snapshots the data in the memory and writes it to the disk. The advantage of Redis is that it provides rich data structure support and can handle more complex data storage scenarios. At the same time, the distributed characteristics of Redis have also been widely used, becoming the cache tool of choice in many high-concurrency scenarios.

2. Page caching technology

With the rapid development of Internet business, page caching technology has gradually become a focus of attention. Page caching can reduce server response time and improve user experience. The most commonly used page caching technologies in Java are Ehcache and Redis.

2.1 Ehcache page caching

Ehcache page caching is usually a page caching method used in ordinary Java Web projects. The principle is to save previously visited pages in memory, and the next time the same page is accessed, the cached page is obtained directly from memory, thereby reducing server response time. Ehcache provides many advanced features such as PageStore to meet most page caching needs.

2.2 Redis page cache

Redis page cache is an efficient page cache method suitable for distributed applications. The principle is to serialize previously visited pages into JSON or other formats and save them in Redis. The next time you visit the same page, the cached page data is obtained directly from Redis and deserialized into page content. Compared with traditional page cache, Redis page cache can further optimize the cache effect through multi-node cache sharing, second-level cache, etc., ensuring stability under high concurrency conditions.

3. Hotspot cache technology

The so-called hotspot cache stores frequently accessed data in the cache to improve query efficiency. In Java, commonly used hotspot caching technologies include Guava Cache and Caffeine.

3.1 Guava Cache

Guava Cache is an in-JVM caching library provided by Google. It uses a variety of caching strategies, including LRU, FIFO, etc., to meet different data storage needs. At the same time, Guava Cache also supports advanced features such as automatic cache cleaning and capacity control, which can fully utilize the performance of CPU and memory, making it the best choice for hotspot cache.

3.2 Caffeine

Caffeine is a high-performance caching library based on Guava Cache. Caffeine uses a series of efficient data structures and algorithms to quickly handle large amounts of data storage and query. At the same time, Caffeine also provides advanced features such as cache expiration and cache recycling, which can provide services stably in high-concurrency scenarios.

Conclusion

Java caching technology is an integral part of modern software development. Whether it is data caching, page caching or hotspot caching, Java caching technology has different characteristics and applicable scenarios. In actual development, we should choose appropriate caching technology based on actual needs to provide a better user experience.

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