对于get方法,hibernate会确认一下该id对应的数据是否存在,首先在session缓存中查找,然后在二级缓存中查找,还没有就查询数据库
1. 对于get方法,hibernate会确认一下该id对应的数据是否存在,首先在session缓存中查找,然后在二级缓存中查找,还没有就查询数据库,数据库中没有就返回null。这个相对比较简单,也没有太大的争议。主要要说明的一点就是在这个版本中get方法也会查找二级缓存!
2. load方法加载实体对象的时候,根据映射文件上类级别的lazy属性的配置(默认为true),分情况讨论:
(1)若为true,则首先在Session缓存中查找,看看该id对应的对象是否存在,不存在则使用延迟加载,,返回实体的代理类对象(该代理类为实体类的子类,由CGLIB动态生成)。等到具体使用该对象(除获取OID以外)的时候,再查询二级缓存和数据库,若仍没发现符合条件的记录,则会抛出一个ObjectNotFoundException。
(2)若为false,就跟get方法查找顺序一样,只是最终若没发现符合条件的记录,则会抛出一个ObjectNotFoundException。
这里get和load有两个重要区别:
如果未能发现符合条件的记录,get方法返回null,而load方法会抛出一个ObjectNotFoundException。
load方法可返回没有加载实体数据的代理类实例,而get方法永远返回有实体数据的对象。(对于load和get方法返回类型:好多书中都说:“get方法永远只返回实体类”,实际上并不正确,get方法如果在session缓存中找到了该id对应的对象,如果刚好该对象前面是被代理过的,如被load方法使用过,或者被其他关联对象延迟加载过,那么返回的还是原先的代理对象,而不是实体类对象,如果该代理对象还没有加载实体数据(就是id以外的其他属性数据),那么它会查询二级缓存或者数据库来加载数据,但是返回的还是代理对象,只不过已经加载了实体数据。)

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Atom editor mac version download
The most popular open source editor

Dreamweaver CS6
Visual web development tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.
