Cache data filtering in Java caching technology

Java caching technology has become an essential part of modern application development. Caching can improve application performance and reduce the number of database accesses. However, storing useless data in cache affects performance and availability. Therefore, before caching the data, you need to perform some filtering on the data to ensure that only useful data is stored in the cache. In this article, we will discuss cache data filtering in Java caching technology.

What is cache data filtering?

Cache data filtering refers to the process of filtering, filtering and processing data before storing it in the cache. This process ensures that only useful data is stored in the cache, avoiding performance and availability problems caused by storing useless data.

Advantages of cached data filtering

There are many benefits to using cached data filtering, including:

1. Improving performance: By filtering out irrelevant data, caching can be reduced Space occupied and access time to cache. This improves application performance and responsiveness.
2. Reduce resource waste: When useless data is stored in the cache, the occupied storage space and system resources will be wasted. By filtering out this data, you can reduce the waste of resources.
3. Improve availability: When only useful data is stored in the cache, the availability of the cache can be improved and the chance of cache failure can be reduced.

How to implement cached data filtering

There are many ways to implement cached data filtering. Below we introduce several common methods.

1. Filter pattern

The filter pattern is a common design pattern that can be used to implement cached data filtering. This mode filters data by defining filter interfaces and specific filter implementations.

The core idea of ​​the filter pattern is to decouple data and filters. The data is processed through filters and ultimately returns data that meets certain criteria. This mode can well implement customized filtering of data and ensure that the data stored in the cache is useful.

2. Interceptor

Interceptor is a common technology that can be used to implement cache data filtering. Interceptors filter and transform data by intercepting requests and responses.

Interceptors usually adopt a chain structure. Each interceptor will process the request and pass the result to the next interceptor. This method can realize the flow and conversion of data, and at the same time, customized data filtering can be achieved by configuring the order of interceptors.

3. Annotations

Annotations are a common technique that can be used to implement cached data filtering. Annotations enable customized filtering of methods by adding specific annotation tags to methods.

For example, we can add a @Cacheable annotation to cache the method. This annotation can specify the cache name and expiration time. If we need to customize the cache, we can add a custom annotation and process it in the interceptor.

Summary

Cache data filtering is key to developing high-performance applications. By screening, filtering and processing data, you can ensure that only useful data is stored in the cache and avoid the waste of storing useless data. This article introduces several ways to implement cached data filtering, including filter patterns, interceptors, and annotations. These methods enable customized filtering of data and improve application performance and availability.

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