這篇文章主要介紹了Mybatis基于注解開啟使用二級緩存,文中通過示例代碼介紹的非常詳細，對大家的學習或者工作具有一定的參考學習價值,需要的朋友可以參考下

本文主要是補充一下Mybatis中基于注解的二級緩存的開啟使用方法。

1.在Mybatis的配置文件中開啟二級緩存

<?xml version="1.0" encoding="UTF-8" ?><!DOCTYPE configuration    PUBLIC "-//mybatis.org//DTD Config 3.0//EN"    "http://mybatis.org/dtd/mybatis-3-config.dtd"><configuration>  <settings>    <!--開啟全局的懶加載-->    <setting name="lazyLoadingEnabled" value="true"/>    <!--<!–關閉立即加載，其實不用配置，默認為false–>-->    <!--<setting name="aggressiveLazyLoading" value="false"/>-->    <!--開啟Mybatis的sql執行相關信息打印-->    <setting name="logImpl" value="STDOUT_LOGGING" />    <!--默認是開啟的，為了加強記憶，還是手動加上這個配置-->    <setting name="cacheEnabled" value="true"/>  </settings>  <typeAliases>    <typeAlias type="com.example.domain.User" alias="user"/>    <package name="com.example.domain"/>  </typeAliases>  <environments default="test">    <environment >      <!--配置事務-->      <transactionManager type="jdbc"></transactionManager>      <!--配置連接池-->      <dataSource type="POOLED">        <property name="driver" value="com.mysql.jdbc.Driver"/>        <property name="url" value="jdbc:mysql://localhost:3306/test1"/>        <property name="username" value="root"/>        <property name="password" value="123456"/>      </dataSource>    </environment>  </environments>  <mappers>    <package name="com.example.dao"/>  </mappers></configuration>

開啟緩存 <setting name="cacheEnabled" value="true"/>，為了查看Mybatis中查詢的日志，添加 <setting name="logImpl" value="STDOUT_LOGGING" />開啟日志的配置。

2.領域類以及Dao

public class User implements Serializable{  private Integer userId;  private String userName;  private Date userBirthday;  private String userSex;  private String userAddress;  private List<Account> accounts;  省略get和set方法...... }import com.example.domain.User;import org.apache.ibatis.annotations.*;import org.apache.ibatis.mapping.FetchType;import java.util.List;@CacheNamespace(blocking = true)public interface UserDao {  /**   * 查找所有用戶   * @return   */  @Select("select * from User")  @Results(id = "userMap",value = {@Result(id = true,column = "id",property = "userId"),      @Result(column = "username",property = "userName"),      @Result(column = "birthday",property = "userBirthday"),      @Result(column = "sex",property = "userSex"),      @Result(column = "address",property = "userAddress"),      @Result(column = "id",property = "accounts",many = @Many(select = "com.example.dao.AccountDao.findAccountByUid",fetchType = FetchType.LAZY))  })  List<User> findAll();  /**   * 保存用戶   * @param user   */  @Insert("insert into user(username,birthday,sex,address) values(#{username},#{birthday},#{sex},#{address})")  void saveUser(User user);  /**   * 更新用戶   * @param user   */  @Update("update user set username=#{username},birthday=#{birthday},sex=#{sex},address=#{address} where id=#{id}")  void updateUser(User user);  /**   * 刪除用戶   * @param id   */  @Delete("delete from user where id=#{id}")  void deleteUser(Integer id);  /**   * 查詢用戶根據ID   * @param id   * @return   */  @Select("select * from user where id=#{id}")  @ResultMap(value = {"userMap"})  User findById(Integer id);  /**   * 根據用戶名稱查詢用戶   * @param name   * @return   *///  @Select("select * from user where username like #{name}")  @Select("select * from user where username like '%${value}%'")  List<User> findByUserName(String name);  /**   * 查詢用戶數量   * @return   */  @Select("select count(*) from user")  int findTotalUser();}