Cache data normalization in Java caching technology

Cache data normalization in Java caching technology

With the rapid development of Internet technology, system performance and response speed have become key words in software development. In this context, caching technology plays an increasingly important role in modern software development. While Java caching technology achieves efficient caching, it also needs to normalize cached data to ensure data consistency and reliability.

What is cache data normalization?

Cache data normalization refers to normalizing the data in the cache to ensure the consistency of the cache data. In Java caching technology, cache data may come from multiple sources, such as databases, file systems, third-party interfaces, etc. In these sources, the same data may be stored in many different forms, such as different data structures, different encoding methods, etc. These different storage methods will lead to inconsistency in cached data, thus affecting the normal operation of the software.

How to normalize cache data?

In order to normalize cached data, we first need to classify the sources of cached data. Generally speaking, the sources of cached data can be divided into the following types:

1. Database

The database is one of the most common data storage methods in software development. When caching data in the database, you need to pay attention to the following points:

• The read and write speed of the database is slower than the cache, so the cache expiration time needs to be set appropriately to ensure timely update of the data. and consistency.
• The data structure in the database may be different from the data structure in the cache, so it needs to be transformed and normalized.
• The data in the database may be updated and deleted, and the corresponding data needs to be updated and deleted in the cache in a timely manner.

2. File system

File system is another common data storage method, usually used to store static files. When caching data in the file system, you need to pay attention to the following points:

• Files in the file system may be deleted or updated, so the corresponding data needs to be updated and deleted in the cache immediately .
• Data in the file system may be stored in different encodings and needs to be converted and normalized.
• For large files and files that are frequently read and written, you can use the file system cache to speed up file reading.

3. Third-party interface

Third-party interface refers to the data provided by other software or systems, usually in the form of API. When caching the data provided by the third-party interface, you need to pay attention to the following points:

• The third-party interface may be updated and changed from time to time, so the data in the cache needs to be updated in a timely manner.
• The data provided by the third-party interface may be stored in different protocol formats and encoding methods, which needs to be converted and normalized.
• For frequently called third-party interfaces, you can set a cache policy to reduce the number of accesses to the interface and improve the system's response speed.

Summary

Cache data normalization is an important means to ensure data consistency and reliability in Java cache technology. When performing data normalization, normalization processing needs to be carried out according to the data source and storage method to ensure the specification, consistency and correctness of the cached data. By adopting cache data normalization technology, the performance and response speed of Java caching technology can be effectively improved, bringing better user experience and usage experience to modern software development.

The above is the detailed content of Cache data normalization in Java caching technology. For more information, please follow other related articles on the PHP Chinese website!