The query caching function in the Hibernate framework can improve query performance and avoid repeated execution of queries by caching query results. Its working principle is two-level caching, including session level and global level, and caching is enabled through the @Cacheable annotation. Cached data is shared by all Sessions until explicitly cleared or expired. Methods to explicitly clear the cache include session.clear() or session.evict(), and transparent clearing is performed automatically when the query results change.
Query cache in Hibernate framework
Overview
Query cache is Hibernate A feature provided by the framework that improves query performance by caching query results. When subsequent queries hit the cache, Hibernate returns the results directly from the cache instead of re-executing the query.
Working principle
Hibernate’s query cache is a two-level cache, including:
- First-level cache ( Session level): A temporary, thread-isolated cache that contains all Hibernate entities in the current Session.
- Second level cache (global level): An optional, globally available cache used to persist query results.
When Hibernate executes a query, it first checks the first level cache. If the query results are not in the first level cache, it will execute the query and cache the results in the first level cache.
If query caching is enabled, Hibernate will also cache query results into the second-level cache. Results in the second-level cache will be shared by all Sessions until explicitly cleared or the cache expires.
Practical Case:
Suppose we have an Employee
entity, and we frequently execute queries that find specific employees:
Query query = session.createQuery("from Employee where id = :id"); query.setParameter("id", employeeId); List<Employee> employees = query.list();
In order to cache the results of this query, we can use @Cacheable
Note:
@Entity @Cacheable public class Employee { // ... }
In this way, when we execute the same query, Hibernate will first look up the results from the cache. It will only execute the query and cache the results if there are no results in the cache.
Clear the cache
There are two main ways to clear the Hibernate cache:
-
Explicit clearing: Use
session.clear()
orsession.evict()
method. - Transparent clearing: Hibernate will automatically clear the cache when the query results change.
Performance Impact
Query caching can significantly improve query performance, especially for frequently executed queries. However, there are a few things to note:
- Cache can take up a lot of memory.
- If the cached data is updated frequently, you need to disable the cache or clear the cache frequently.
The above is the detailed content of How does query caching work in Hibernate framework?. For more information, please follow other related articles on the PHP Chinese website!

MySQL是常用的关系型数据库之一,在应用中的高可用性和高性能至关重要。查询缓存是MySQL中一个重要的性能优化策略,通过它可以避免无效的数据库查询,提高查询效率。本文将介绍如何通过查询缓存来优化MySQL性能。一、什么是查询缓存?查询缓存就是缓存MySQL中SELECT语句的结果,当有相同的SELECT语句请求时,直接从缓存中获取结果,而不需要再去查询数据

PHP数据库查询优化技巧:提升搜索体验摘要:本文将介绍一些PHP数据库查询优化技巧,帮助开发人员在实际项目中提升搜索体验。包括使用索引、合理设计数据库结构、写出高效的查询语句等方面的优化方法,并提供具体的代码示例。引言:在Web应用开发中,数据库操作是不可避免的环节之一。而查询操作是数据库中频繁发生的操作之一,尤其在搜索功能中。因此,对数据库查询进行优化,不

随着数据量的增加和访问量的增加,数据库的性能问题已经成为很多网站的瓶颈。在许多情况下,数据库查询是网站中最耗费资源的操作之一。MySQL作为一种开源的关系型数据库管理系统,已经成为许多网站的首选数据库。在MySQL中,查询缓存是一种可以显著提高查询性能的缓存机制。本文将介绍MySQL查询缓存的工作原理,并提供一些实用建议,可以帮助您更好地使用MySQL查询缓

提升PHP数据库搜索性能的五种技术摘要:随着Web应用程序的不断发展,数据库搜索性能成为了开发者需要关注的重要问题。在使用PHP进行数据库搜索时,我们可以使用一些有效的技术来提升性能。本文将介绍五种提升PHP数据库搜索性能的技术,并提供具体的代码示例。使用索引在数据库中添加索引可以大大提高搜索性能。索引可以加快数据库的查询速度,减少数据扫描的时间。对于频繁搜

如何实现MySQL底层优化:查询缓存的使用和性能分析MySQL是一种常用的关系型数据库管理系统,在大数据量的场景下,优化数据库性能是非常重要的。其中,查询缓存是一个可以帮助提高MySQL性能的重要组件。本文将介绍如何使用查询缓存以及如何进行性能分析,并提供具体的代码示例。查询缓存的作用查询缓存是一种将查询结果缓存起来的机制,当有相同的查询被执行时,MySQL

如何实现MySQL底层优化:查询缓存的高级使用和性能分析摘要:MySQL是一款广泛使用的关系型数据库管理系统,它的查询缓存功能可以有效提升查询性能。本文将介绍MySQL查询缓存的高级使用方法和性能分析,包括查询缓存的启用、使用查询缓存实例、查询缓存失效的原因和解决办法等,同时给出具体的代码示例帮助读者更好地理解和实践。关键词:MySQL,查询缓存,优化,性能

MySQL是一个流行的开源数据库管理系统,在很多网站和应用程序中都被广泛使用。其中一个重要的性能提升机制就是查询缓存。查询缓存是MySQL用来缓存SELECT语句的结果集的机制。当一个查询被缓存时,MySQL将在内存中存储结果集,并在同一个查询再次被请求时返回缓存结果,而不是再次执行查询。在理想情况下,查询缓存可以大幅度提高查询性能。然而,如果没有正确地配置

Hibernate框架中的查询缓存功能可提升查询性能,通过缓存查询结果避免重复执行查询。其工作原理为两级缓存,包括Session级和全局级,并通过@Cacheable注解启用缓存。缓存的数据可被所有Session共享,直到明确清除或过期。显式清除缓存的方法包括session.clear()或session.evict(),透明清除则在查询结果更改时自动执行。


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

SublimeText3 Mac version
God-level code editing software (SublimeText3)

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver CS6
Visual web development tools

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
