性能优化是一个很大的话题,大到程序架构优化,数据库设计等,小到一个特定算法,甚至js优化等等。这里我们只简单谈一下hibernat
性能优化是一个很大的话题,大到程序架构优化,数据库设计等,小到一个特定算法,甚至js优化等等。这里我们只简单谈一下hibernate的性能优化。
在使用Hibernate的时候,通过正确的方法和策略,可以提高执行效率。
(一)抓取策略
抓取策略(fetching strategy)是指:当应用程序需要在(Hibernate实体对象图的)关联关系间进行导航的时候, Hibernate如何获取关联对象的策略。抓取策略可以在O/R映射的元数据中声明,也可以在特定的HQL 或条件查询(Criteria Query)中重载声明。
例如单端代理,集合代理,批量抓取等
设置方式通常为
*fetch="join",hibernate会通过一个select语句连接(内联/外联)抓取其关联对象或集合
*fetch="subselect",另外发送一条select语句抓取在前面查询到的所有实体的关联集合
*可以使用fetch预抓取Classes,解决N+1问题,hql中使用“join fetch ” ,select s from Student s join fetch s.classes where s.id in(:ids)
*batch-size属性,可以批量加载实体类
(二)缓存
缓存原则:通常读远远大于写的数据进行缓存
Hibernate的Session在事务级别进行持久化数据的缓存操作。 当然,也有可能分别为每个类(或集合),配置集群、或JVM级别(SessionFactory级别)的缓存。 你甚至可以为之插入一个集群的缓存。注意,缓存永远不知道其他应用程序对持久化仓库(数据库)可能进行的修改 (即使可以将缓存数据设定为定期失效)。
1、一级缓存
一级缓存生命周期很短和session的生命周期一致,一级缓存也叫session级的缓存或事务级缓存
* load/get/iterate查询实体对象时,,支持一级缓存
* 一级缓存是缓存实体对像的,对属性不缓存
*对于 大批量的数据添加
session.beginTransaction();
for (int i=0; i
Student student = new Student();
student.setName("张三" + i);
session.save(student);
//每20条更新一次
if (i % 20 == 0) {
session.flush();
//清除缓存的内容
session.clear();
}
}
session.getTransaction().commit();

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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