Java caching technology and Hibernate caching

Java caching technology and Hibernate caching

With the continuous development of Internet technology and the arrival of the big data era, the amount of data interfaces is getting larger and larger, and the number of visits is getting higher and higher. The importance of caching technology Sexuality gradually comes to the fore. Java caching technology and Hibernate caching are two common caching technologies. This article will briefly introduce and compare the two.

1. Java caching technology

Java caching technology mainly refers to the use of caching technology in Java applications to improve application performance. Common Java caching technologies include:

1. Jcache
   Jcache is a standardized caching framework in Java that was introduced in Java 6 and further improved in Java 8. Jcache supports multiple cache providers such as Ehcache, Infinispan, etc. Using Jcache to handle caching can avoid some problems caused by directly using the cache API, such as cache dispersion and lack of maintenance management.
2. Ehcache
   Ehcache is a pure Java open source caching framework that provides a very fast memory cache. Ehcache is very suitable for use in small and medium-sized applications. It can help developers manage and control cache more conveniently. Ehcache provides rich functions and API interfaces, which can be used in different application fields.
3. Guava Cache
   Guava Cache is a caching framework developed by Google. It provides a memory caching mechanism that can cache common calculation results and store the cached data in memory. . Guava Cache provides very flexible functions and parameters that can adapt to different environments and needs.

2. Hibernate caching technology

Hibernate is an object-relational mapping (ORM) framework developed by Java. It can map Java objects and database tables, thereby enabling data Storage and query. Hibernate supports Session and Transaction caching, and can save query results, object status, and persistent entity data to the cache.

Hibernate's caching technology mainly includes the following types:

1. Second-level cache
   Second-level cache is a Session factory-level cache, which can be performed through SessionFactory Management and control, and can cache query results, entity data, persistent objects and other data. The advantage of the second-level cache is that it can greatly improve system performance and avoid frequent access to the database. The second level cache supports multiple cache providers, such as Ehcache, Redis, etc.
2. Query cache
   Query cache is a Session-level cache that can cache HQL or Criteria queries. Cached results can be reused, which can greatly improve query efficiency. The disadvantage of query caching is that it can only cache the exact same query, and the results of queries carrying different conditions for the same entity will not hit the cache.

3. Comparison between Java caching technology and Hibernate caching

Although Java caching technology and Hibernate caching are both caching technologies, they have some differences:

1. Different object types
   Java caching technology is mostly used to handle the caching of Java objects, while Hibernate caching is mainly an object-relational mapping framework, and its cache objects are mainly persistent objects and query results.
2. Different cache granularity
   Java cache technology caches data through the cache API. Hibernate cache is implemented based on the second-level cache and query cache of the ORM framework, and the cache granularity is finer, covering a variety of query and persistence objects.
3. Different cache instructions
   Java cache technology updates data through instructions such as data access, insertion, update, and deletion. Hibernate cache is a special Session cache and Query cache, which supports corresponding instructions, as well as automatic, manual and other cache update strategies.

In summary, Java caching technology and Hibernate caching have their own characteristics and can be selected according to actual needs. In actual applications, appropriate caching technology can be selected based on factors such as business needs, performance requirements, and implementation difficulty, and combined with the configuration and use of the caching framework to achieve the best caching effect.

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