In-depth analysis of the functions and benefits of mybatis first-level cache
Analysis of the functions and advantages of MyBatis first-level cache
Introduction:
During the development process, database access operations are inevitable. In order to improve performance and reduce the number of database accesses, MyBatis provides a first-level cache mechanism. This article will explore the functions and advantages of MyBatis first-level cache, and illustrate it with specific code examples.
1. The role of the first-level cache
The first-level cache of MyBatis refers to the caching mechanism in the same SqlSession. The first-level cache is enabled by default and can improve query performance. The specific functions are as follows:
- Reduce the number of database accesses: Using the first-level cache can avoid repeated queries to the database and improve system performance.
- Improving response speed: Since the first-level cache is located in the memory, data is read faster, which can reduce network transmission time, thereby shortening response time.
- Data consistency: In the same SqlSession, when multiple query operations operate on the same piece of data, MyBatis will automatically obtain data from the cache to ensure data consistency.
2. Advantages of first-level cache
MyBatis’s first-level cache has the following advantages:
- Simple and easy to use: first-level cache Usage is transparent to developers, no manual operations are required, and data access operations can be performed directly.
- Enabled by default: The first-level cache is enabled by default, that is, the execution results of SQL statements will be cached. In this way, you can directly obtain the benefits of caching without additional configuration.
- Restricted scope: The scope of the first-level cache is limited to the same SqlSession. When the SqlSession is submitted or closed, the cache will be invalidated to avoid data inconsistency.
3. Code examples
The following uses specific code examples to demonstrate the use of first-level cache.
- Create a UserMapper interface:
public interface UserMapper { User getUserById(int id); void updateUser(User user); }
- Enable first-level cache in the MyBatis configuration file:
<configuration> <!-- 其他配置 --> <settings> <setting name="cacheEnabled" value="true" /> </settings> <!-- 其他配置 --> </configuration>
- Writing code example:
public static void main(String[] args) { try (SqlSessionFactory sessionFactory = new SqlSessionFactoryBuilder().build(Resources.getResourceAsStream("mybatis-config.xml"))) { try (SqlSession sqlSession = sessionFactory.openSession()) { // 创建 UserMapper 的代理对象 UserMapper userMapper = sqlSession.getMapper(UserMapper.class); // 第一次查询,会从数据库中获取数据,并将数据缓存到一级缓存中 User user1 = userMapper.getUserById(1); System.out.println(user1); // 第二次查询,会从一级缓存中获取数据,不会访问数据库 User user2 = userMapper.getUserById(1); System.out.println(user2); // 更新用户信息 user1.setName("New Name"); userMapper.updateUser(user1); // 清除一级缓存 sqlSession.clearCache(); // 第三次查询,会从数据库中获取数据,并将新的数据缓存到一级缓存中 User user3 = userMapper.getUserById(1); System.out.println(user3); } } }
In the above example, the first query will get the data from the database and cache it into the first level cache. During the second query, the data is obtained directly from the first-level cache, avoiding the need to access the database again. After the user information is updated, the first-level cache is cleared, and the third query will re-obtain the latest data from the database and cache it in the first-level cache.
In summary, MyBatis's first-level cache has obvious advantages in improving database access performance and reducing network transmission delays. Developers only need simple configuration to enjoy the convenience brought by the first-level cache.
The above is the detailed content of In-depth analysis of the functions and benefits of mybatis first-level cache. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics











How to create tables using SQL statements in SQL Server: Open SQL Server Management Studio and connect to the database server. Select the database to create the table. Enter the CREATE TABLE statement to specify the table name, column name, data type, and constraints. Click the Execute button to create the table.

This article introduces a detailed tutorial on joining three tables using SQL statements to guide readers step by step how to effectively correlate data in different tables. With examples and detailed syntax explanations, this article will help you master the joining techniques of tables in SQL, so that you can efficiently retrieve associated information from the database.

phpMyAdmin can be used to create databases in PHP projects. The specific steps are as follows: Log in to phpMyAdmin and click the "New" button. Enter the name of the database you want to create, and note that it complies with the MySQL naming rules. Set character sets, such as UTF-8, to avoid garbled problems.

Methods to judge SQL injection include: detecting suspicious input, viewing original SQL statements, using detection tools, viewing database logs, and performing penetration testing. After the injection is detected, take measures to patch vulnerabilities, verify patches, monitor regularly, and improve developer awareness.

The methods to check SQL statements are: Syntax checking: Use the SQL editor or IDE. Logical check: Verify table name, column name, condition, and data type. Performance Check: Use EXPLAIN or ANALYZE to check indexes and optimize queries. Other checks: Check variables, permissions, and test queries.

The SQL INSERT statement is used to insert data into a table. The steps include: specify the target table to list the columns to be inserted. Specify the value to be inserted (the order of values must correspond to the column name)

PostgreSQL The method to add columns is to use the ALTER TABLE command and consider the following details: Data type: Select the type that is suitable for the new column to store data, such as INT or VARCHAR. Default: Specify the default value of the new column through the DEFAULT keyword, avoiding the value of NULL. Constraints: Add NOT NULL, UNIQUE, or CHECK constraints as needed. Concurrent operations: Use transactions or other concurrency control mechanisms to handle lock conflicts when adding columns.

How does the Redis caching solution realize the requirements of product ranking list? During the development process, we often need to deal with the requirements of rankings, such as displaying a...
