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这两天启动了一个新项目因为项目组成员一直都使用的是mybaits,虽然个人比较喜欢jpa这种极简的模式,但是为了项目保持统一性技术选型还是定了 mybaits。到网上找了一下关于spring boot和mybaits组合的相关资料,各种各样的形式都有,看的人心累,结合了mybaits的官方demo和文档终于找到了最简的两种模式,花了一天时间总结后分享出来。
orm框架的本质是简化编程中操作数据库的编码,发展到现在基本上就剩两家了,一个是宣称可以不用写一句sql的hibernate,一个是可以灵活调试动态sql的mybiats,两者各有特点,在企业级系统开发中可以根据需求灵活使用。发现一个有趣的现象:传统企业大都喜欢使用hibernate,互联网行业通常使用mybiats。
hibernate特点就是所有的sql都用Java代码来生成,不用跳出程序去写(看)sql,有着编程的完整性,发展到最顶端就是spring data jpa这种模式了,基本上根据方法名就可以生成对应的sql了,有不太了解的可以看我的上篇文章构建微服务:spring data jpa的使用。
mybaits初期使用比较麻烦,需要各种配置文件、实体类、dao层映射关联、还有一大推其它配置。当然mybaits也发现了这种弊端,初期开发了generator可以根据表结果自动生产实体类、配置文件和dao层代码,可以减轻一部分开发量;后期也进行了大量的优化可以使用注解了,自动管理dao层和配置文件等,发展到最顶端就是今天要讲的这种模式了,mybatis-spring-boot-starter就是springboot+mybaits可以完全注解不用配置文件,也可以简单配置轻松上手。
现在想想spring boot 就是牛鼻呀,任何东西只要关联到spring boot都是化繁为简。
mybatis-spring-boot-starter
官方说明:MyBatis Spring-Boot-Starter will help you use MyBatis with Spring Boot
其实就是myBatis看spring boot这么火热也开发出一套解决方案来凑凑热闹,但这一凑确实解决了很多问题,使用起来确实顺畅了许多。mybatis-spring-boot-starter主要有两种解决方案,一种是使用注解解决一切问题,一种是简化后的老传统。
当然任何模式都需要首先引入mybatis-spring-boot-starter的pom文件,现在最新版本是1.1.1(刚好快到双11了 :)
)
<dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.1.1</version> </dependency>
好了下来分别介绍两种开发模式
无配置文件注解版
就是一切使用注解搞定。
1 添加相关maven文件
<dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>1.1.1</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-devtools</artifactId> <optional>true</optional> </dependency> </dependencies>
完整的pom包这里就不贴了,大家直接看源码
2、application.properties
添加相关配置
mybatis.type-aliases-package=com.neo.entity spring.datasource.driverClassName = com.mysql.jdbc.Driver spring.datasource.url = jdbc:mysql://localhost:3306/test1?useUnicode=true&characterEncoding=utf-8 spring.datasource.username = root spring.datasource.password = root
springboot会自动加载spring.datasource.*相关配置,数据源就会自动注入到sqlSessionFactory中,sqlSessionFactory会自动注入到Mapper中,对了你一切都不用管了,直接拿起来使用就行了。
在启动类中添加对mapper包扫描@MapperScan
@SpringBootApplication @MapperScan("com.neo.mapper") public class Application { public static void main(String[] args) { SpringApplication.run(Application.class, args); } }
或者直接在Mapper类上面添加注解@Mapper
,建议使用上面那种,不然每个mapper加个注解也挺麻烦的
3、开发Mapper
第三步是最关键的一块,sql生产都在这里
public interface UserMapper { @Select("SELECT * FROM users") @Results({ @Result(property = "userSex", column = "user_sex", javaType = UserSexEnum.class), @Result(property = "nickName", column = "nick_name") }) List<UserEntity> getAll(); @Select("SELECT * FROM users WHERE id = #{id}") @Results({ @Result(property = "userSex", column = "user_sex", javaType = UserSexEnum.class), @Result(property = "nickName", column = "nick_name") }) UserEntity getOne(Long id); @Insert("INSERT INTO users(userName,passWord,user_sex) VALUES(#{userName}, #{passWord}, #{userSex})") void insert(UserEntity user); @Update("UPDATE users SET userName=#{userName},nick_name=#{nickName} WHERE id =#{id}") void update(UserEntity user); @Delete("DELETE FROM users WHERE id =#{id}") void delete(Long id); }
为了更接近生产我特地将user_sex、nick_name两个属性在数据库加了下划线和实体类属性名不一致,另外user_sex使用了枚举
- @Select 是查询类的注解,所有的查询均使用这个
- @Result 修饰返回的结果集,关联实体类属性和数据库字段一一对应,如果实体类属性和数据库属性名保持一致,就不需要这个属性来修饰。
- @Insert 插入数据库使用,直接传入实体类会自动解析属性到对应的值
- @Update 负责修改,也可以直接传入对象
- @delete 负责删除
注意,使用#符号和$符号的不同:
// This example creates a prepared statement, something like select * from teacher where name = ?; @Select("Select * from teacher where name = #{name}") Teacher selectTeachForGivenName(@Param("name") String name); // This example creates n inlined statement, something like select * from teacher where name = ‘someName‘; @Select("Select * from teacher where name = ‘${name}‘) Teacher selectTeachForGivenName(@Param("name") String name);
4、使用
上面三步就基本完成了相关dao层开发,使用的时候当作普通的类注入进入就可以了
@RunWith(SpringRunner.class) @SpringBootTest public class UserMapperTest { @Autowired private UserMapper UserMapper; @Test public void testInsert() throws Exception { UserMapper.insert(new UserEntity("aa", "a123456", UserSexEnum.MAN)); UserMapper.insert(new UserEntity("bb", "b123456", UserSexEnum.WOMAN)); UserMapper.insert(new UserEntity("cc", "b123456", UserSexEnum.WOMAN)); Assert.assertEquals(3, UserMapper.getAll().size()); } @Test public void testQuery() throws Exception { List<UserEntity> users = UserMapper.getAll(); System.out.println(users.toString()); } @Test public void testUpdate() throws Exception { UserEntity user = UserMapper.getOne(3l); System.out.println(user.toString()); user.setNickName("neo"); UserMapper.update(user); Assert.assertTrue(("neo".equals(UserMapper.getOne(3l).getNickName()))); } }
源码中controler层有完整的增删改查,这里就不贴了
源码在这里spring-boot-mybaits-annotation
极简xml版本
极简xml版本保持映射文件的老传统,优化主要体现在不需要实现dao的是实现层,系统会自动根据方法名在映射文件中找对应的sql.
1、配置
pom文件和上个版本一样,只是application.properties
新增以下配置
mybatis.config-locations=classpath:mybatis/mybatis-config.xml mybatis.mapper-locations=classpath:mybatis/mapper/*.xml
指定了mybatis基础配置文件和实体类映射文件的地址
mybatis-config.xml 配置
<configuration> <typeAliases> <typeAlias alias="Integer" type="java.lang.Integer" /> <typeAlias alias="Long" type="java.lang.Long" /> <typeAlias alias="HashMap" type="java.util.HashMap" /> <typeAlias alias="LinkedHashMap" type="java.util.LinkedHashMap" /> <typeAlias alias="ArrayList" type="java.util.ArrayList" /> <typeAlias alias="LinkedList" type="java.util.LinkedList" /> </typeAliases> </configuration>
这里也可以添加一些mybaits基础的配置
2、添加User的映射文件
<mapper namespace="com.neo.mapper.UserMapper" > <resultMap id="BaseResultMap" type="com.neo.entity.UserEntity" > <id column="id" property="id" jdbcType="BIGINT" /> <result column="userName" property="userName" jdbcType="VARCHAR" /> <result column="passWord" property="passWord" jdbcType="VARCHAR" /> <result column="user_sex" property="userSex" javaType="com.neo.enums.UserSexEnum"/> <result column="nick_name" property="nickName" jdbcType="VARCHAR" /> </resultMap> <sql id="Base_Column_List" > id, userName, passWord, user_sex, nick_name </sql> <select id="getAll" resultMap="BaseResultMap" > SELECT <include refid="Base_Column_List" /> FROM users </select> <select id="getOne" parameterType="java.lang.Long" resultMap="BaseResultMap" > SELECT <include refid="Base_Column_List" /> FROM users WHERE id = #{id} </select> <insert id="insert" parameterType="com.neo.entity.UserEntity" > INSERT INTO users (userName,passWord,user_sex) VALUES (#{userName}, #{passWord}, #{userSex}) </insert> <update id="update" parameterType="com.neo.entity.UserEntity" > UPDATE users SET <if test="userName != null">userName = #{userName},</if> <if test="passWord != null">passWord = #{passWord},</if> nick_name = #{nickName} WHERE id = #{id} </update> <delete id="delete" parameterType="java.lang.Long" > DELETE FROM users WHERE id =#{id} </delete> </mapper>
其实就是把上个版本中mapper的sql搬到了这里的xml中了
3、编写Dao层的代码
public interface UserMapper { List<UserEntity> getAll(); UserEntity getOne(Long id); void insert(UserEntity user); void update(UserEntity user); void delete(Long id); }
对比上一步这里全部只剩了接口方法
4、使用
使用和上个版本没有任何区别,大家就看代码吧
如何选择
两种模式各有特点,注解版适合简单快速的模式,其实像现在流行的这种微服务模式,一个微服务就会对应一个自已的数据库,多表连接查询的需求会大大的降低,会越来越适合这种模式。
老传统模式比适合大型项目,可以灵活的动态生成SQL,方便调整SQL,也有痛痛快快,洋洋洒洒的写SQL的感觉。
前几篇关于微服务的文章地址:
- 构建微服务:Spring boot 入门篇
- 构建微服务:Spring boot 提高篇
- 构建微服务:Spring Boot中Redis的使用
- 构建微服务:thymeleaf使用详解
- 构建微服务:spring data jpa的使用
作者:纯洁的微笑
出处:http://www.ityouknow.com/
版权所有,欢迎保留原文链接进行转载:)