Cache nesting structure in Java caching technology

With the rapid development of the Internet and the explosive growth of the number of users, how to improve the performance of a website or application has become a problem that every developer needs to pay attention to. Among them, caching technology is widely used to improve the response speed of the system and reduce the burden of background operations such as databases. The cache nesting structure in Java cache technology can more effectively improve cache efficiency.

Cache is a temporary way of storing data, usually in memory, to avoid the need to access a database or other data source for each request. Simply put, a cache is a container that stores data in memory. Caching can improve system response speed, reduce system pressure, avoid unnecessary database connections, reduce system load, and improve system availability and scalability. Therefore, caching technology has become a very important means when processing large amounts of data.

In Java cache technology, there are three common cache structures: local cache, distributed cache, and cache nested structure. Among them, the cache nested structure refers to combining multiple caches to form a large cache system. Caches at different levels can store data separately to speed up the cache response speed. This structure can effectively reduce dependence on backend storage such as databases, reduce system load, and improve system performance and reliability.

The cache nested structure usually consists of three layers of cache, including local cache, distributed cache and persistent storage. Local cache refers to the cache in memory. Data is quickly read and cached locally, and the access speed is very fast. Distributed cache refers to a cache that distributes cache on multiple servers. It can be used in large-scale distributed systems to store data distributedly on multiple nodes, improving the scalability of the system. Persistent storage refers to caching data in physical media such as disks, which can persist cached data and prevent data loss.

The workflow of caching nested structures is as follows: when a request comes, the target data will first be searched in the local cache. If it does not exist in the local cache, the target data will be searched from the distributed cache. . If not found, it will be retrieved from persistent storage. After the data is obtained, the data will be cached in the local cache and distributed cache. The expiration time of cached data in local cache or distributed cache is shorter, and data can be quickly obtained when the data has not expired, thus improving the response speed of the system. If the data is not found in the local or distributed cache, the data is obtained from the persistent storage.

When using the cache nested structure, you need to pay attention to the following points:

1. The cache nested structure requires careful planning. A reasonable planning structure can ensure efficient use of cache and improve the overall performance and reliability of the system.
2. The cache expiration time needs to be carefully managed. The cache expiration time needs to be properly set according to the data requirements and application scenarios to ensure that the data is accurate and timely.
3. Cache consistency needs to be maintained. Since the cache nested structure is composed of multiple layers of caches, data inconsistency will occur between caches, and relevant technical means need to be used to ensure cache consistency.

To sum up, the cache nested structure is an efficient way to use Java cache technology. By combining local cache, distributed cache and persistent storage, cache can be effectively improved. efficiency and system performance, reduce the burden on the backend, and improve system reliability and scalability. When using cache nested structures, you need to pay attention to issues such as reasonable planning, cache expiration time, and data consistency to maximize the use of caching technology.

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