MyBatis is an excellent persistence layer framework that is widely used in Java projects. In actual development, sometimes it is necessary to batch add operations to the database. This article will introduce how to use MyBatis to implement batch addition operations and provide specific code examples.
First we need to create the corresponding entity class to map the fields of the database table. Suppose we have a user class User, including id, name and age fields, which can be defined as follows:
public class User { private Long id; private String name; private Integer age; // 省略getter和setter方法 }
Next, we need to write the corresponding Mapper interface and Mapper XML file are used to define SQL statements and mapping relationships. We can add a method to add users in batches in the Mapper interface:
public interface UserMapper { void batchInsert(@Param("users") List<User> users); }
In the corresponding Mapper XML file, write the SQL statement:
<mapper namespace="com.example.UserMapper"> <insert id="batchInsert" parameterType="java.util.List"> insert into user (name, age) values <foreach collection="users" item="user" separator="," > (#{user.name}, #{user.age}) </foreach> </insert> </mapper>
In the Service layer, we can call the batch add method defined in the Mapper interface:
@Service public class UserService { @Autowired private UserMapper userMapper; public void batchInsert(List<User> users) { userMapper.batchInsert(users); } }
Finally, where batch add operations are required, we can Call the Service layer method to implement batch addition:
@Service public class UserController { @Autowired private UserService userService; public void batchAddUsers() { List<User> users = new ArrayList<>(); // 构造用户数据 for (int i = 0; i < 10; i++) { User user = new User(); user.setName("User" + i); user.setAge(20 + i); users.add(user); } userService.batchInsert(users); } }
Through the above steps, we successfully implemented the method of using MyBatis for batch addition operations. In actual projects, batch addition operations can effectively improve the performance of database operations, especially when the amount of data is large. Hope this article helps you!
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