这篇文章主要介绍了Mybatis基于注解开启使用二级缓存,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
本文主要是补充一下Mybatis中基于注解的二级缓存的开启使用方法。
1.在Mybatis的配置文件中开启二级缓存
<?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> <!--开启全局的懒加载--> <setting name="lazyLoadingEnabled" value="true"/> <!--<!–关闭立即加载,其实不用配置,默认为false–>--> <!--<setting name="aggressiveLazyLoading" value="false"/>--> <!--开启Mybatis的sql执行相关信息打印--> <setting name="logImpl" value="STDOUT_LOGGING" /> <!--默认是开启的,为了加强记忆,还是手动加上这个配置--> <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 > <!--配置事务--> <transactionManager type="jdbc"></transactionManager> <!--配置连接池--> <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>
开启缓存 <setting name="cacheEnabled" value="true"/>,为了查看Mybatis中查询的日志,添加 <setting name="logImpl" value="STDOUT_LOGGING" />开启日志的配置。
2.领域类以及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 { /** * 查找所有用户 * @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(); /** * 保存用户 * @param user */ @Insert("insert into user(username,birthday,sex,address) values(#{username},#{birthday},#{sex},#{address})") void saveUser(User user); /** * 更新用户 * @param user */ @Update("update user set username=#{username},birthday=#{birthday},sex=#{sex},address=#{address} where id=#{id}") void updateUser(User user); /** * 删除用户 * @param id */ @Delete("delete from user where id=#{id}") void deleteUser(Integer id); /** * 查询用户根据ID * @param id * @return */ @Select("select * from user where id=#{id}") @ResultMap(value = {"userMap"}) User findById(Integer id); /** * 根据用户名称查询用户 * @param name * @return */// @Select("select * from user where username like #{name}") @Select("select * from user where username like '%${value}%'") List<User> findByUserName(String name); /** * 查询用户数量 * @return */ @Select("select count(*) from user") int findTotalUser();}
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