一 前言
本篇文章的基础是建立在mybatis配置一文,之前关于自定义类型写的有点模糊,知识追寻者是个有强迫的症的人,又发了一篇,初学者可以查阅知识追寻者专栏学习;文章内容中贴出了关键代码提供个人学习,如果有什么不明白之处,可以查阅知识追寻者的专栏说明获得github源码学习;
二 准备工作
2.1建表语句
CREATE TABLE `customer` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
`customer_name` varchar(255) DEFAULT NULL COMMENT '顾客名称',
`gender` varchar(255) DEFAULT NULL COMMENT '性别',
`telephone` varchar(255) DEFAULT NULL COMMENT '电话号码',
`register_time` timestamp NULL DEFAULT NULL COMMENT '注册时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='顾客表';
2.2 实体
public class Customer {
// 主键
private Long id;
// 客户姓名
private String customer_name;
// 性别
private String gender;
// 电话
private String telephone;
// 注册时间
private Long register_time;
// 省略 set get
}
三 自定义TypeHandler
自定义TypeHandler实现一个业务逻辑就是 当插入数据时可以将时间戳转为timestamp格式;当查询数据得时候再将数据库中得timestamp格式时间转为时间戳;好吧知识追寻者也是无聊透顶了做这种操作,不过易于读者理解;
/**
* @Author lsc
* 一个无聊的业务逻辑 输入的是时间戳,到数据库中的是 timestamp 格式 输出的又是时间戳
*/
@MappedJdbcTypes(JdbcType.TIMESTAMP)
@MappedTypes(Long.class)
public class TimeStringHandler extends BaseTypeHandler {
public void setNonNullParameter(PreparedStatement preparedStatement, int i, T t, JdbcType jdbcType) throws SQLException {
// 将 时间戳转为 LocalDateTime
LocalDateTime localDateTime = LocalDateTime.ofInstant(Instant.ofEpochSecond((java.lang.Long) t), ZoneOffset.ofHours(8));
// 参数设置
System.out.println("业务逻辑1");
preparedStatement.setString(i,localDateTime.toString());
}
public T getNullableResult(ResultSet resultSet, String s) throws SQLException {
System.out.println("业务逻辑2");
String time = resultSet.getString(s);
LocalDateTime localDateTime = LocalDateTime.parse(time, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
Long second = localDateTime.toEpochSecond(ZoneOffset.ofHours(8));
return (T) second;
}
public T getNullableResult(ResultSet resultSet, int i) throws SQLException {
System.out.println("业务逻辑3");
String time = resultSet.getString(i);
LocalDateTime localDateTime = LocalDateTime.parse(time, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
Long second = localDateTime.toEpochSecond(ZoneOffset.ofHours(8));
return (T) second;
}
public T getNullableResult(CallableStatement callableStatement, int i) throws SQLException {
System.out.println("业务逻辑4");
String time = callableStatement.getString(i);
LocalDateTime localDateTime = LocalDateTime.parse(time, DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss"));
Long second = localDateTime.toEpochSecond(ZoneOffset.ofHours(8));
return (T) second;
}
}
四 mappe接口
public interface CustomerMapper {
// 添加客户
int addCustomer(Customer customer);
// 查询客户
List getCustomer();
}
五 sql映射文件
sql映射文件中在使用得字段register_time中做专门得数据类型处理,这样不用配置到全局配置文件中,可以针对特定字段处理是个不错得选择;这边实现得逻辑是两个部分,查询语句用于返回时将register_time使用类型处理器处理;插入语句用于将数据进入数据库时使用register_time使用类型处理器处理。
insert into `customer`(
`customer_name`,
`gender`,
`telephone`,
`register_time`
)values (
#{customer_name},
#{gender},
#{telephone},
#{register_time,javaType=Long,jdbcType=TIMESTAMP,typeHandler=com.zszxz.typehandler.handler.TimeStringHandler}
)
六测试类
测试类 也是分为2部分,查询和新增部分;
/**
* @Author lsc
*
*/
@RunWith(JUnit4.class)
public class TypeHandlerTest {
SqlSession sqlSession = null;
// @Before 会在执行测试类之前执行该方法
@Before
public void before() throws IOException {
// 资源路径 resource目录下
String resource = "mybatis-config.xml";
// 配置mybatis获得输入流
InputStream inputStream = Resources.getResourceAsStream(resource);
// 创建 SqlSessionFactory
SqlSessionFactory sqlSessionFactory = new SqlSessionFactoryBuilder().build(inputStream);
//从 SqlSessionFactory 中获取 SqlSession
sqlSession= sqlSessionFactory.openSession();
}
@Test
public void testInsert(){
// 获得mapper的形式
CustomerMapper mapper = sqlSession.getMapper(CustomerMapper.class);
Customer customer = new Customer();
customer.setCustomer_name("知识追寻者");
customer.setRegister_time(1580739214L);
customer.setGender("男");
customer.setTelephone("999");
// 添加客户
mapper.addCustomer(customer);
sqlSession.commit();
sqlSession.close();
}
@Test
public void testSelect(){
// 获得mapper的形式
CustomerMapper mapper = sqlSession.getMapper(CustomerMapper.class);
List customerList = mapper.getCustomer();
for (Customer customer :customerList){
System.out.println(customer.getCustomer_name());
System.out.println(customer.getRegister_time());
}
sqlSession.commit();
sqlSession.close();
}
}
七 测试插入数据
插入数据时原本register_time是时间戳,从打印得SQL参数2020-02-03T22:13:34(String)可以看见入库时就变成了timestamp支持的格式入库;
[DEBUG] 2020-02-03 23:39:33,018 method:org.apache.ibatis.logging.jdbc.BaseJdbcLogger.debug(BaseJdbcLogger.java:159)
==> Preparing: insert into `customer`( `customer_name`, `gender`, `telephone`, `register_time` )values ( ?, ?, ?, ? )
业务逻辑1
[DEBUG] 2020-02-03 23:39:33,052 method:org.apache.ibatis.logging.jdbc.BaseJdbcLogger.debug(BaseJdbcLogger.java:159)
==> Parameters: 知识追寻者(String), 男(String), 999(String), 2020-02-03T22:13:34(String)
[DEBUG] 2020-02-03 23:39:33,116 method:org.apache.ibatis.logging.jdbc.BaseJdbcLogger.debug(BaseJdbcLogger.java:159)
<== Updates: 1
八 测试查询数据
原本数据库中是timestamp支持的格式得时间,出来就是时间戳;
[DEBUG] 2020-02-03 23:39:00,371 method:org.apache.ibatis.logging.jdbc.BaseJdbcLogger.debug(BaseJdbcLogger.java:159)
==> Preparing: select * from `customer`
[DEBUG] 2020-02-03 23:39:00,410 method:org.apache.ibatis.logging.jdbc.BaseJdbcLogger.debug(BaseJdbcLogger.java:159)
==> Parameters:
业务逻辑2
[DEBUG] 2020-02-03 23:39:00,468 method:org.apache.ibatis.logging.jdbc.BaseJdbcLogger.debug(BaseJdbcLogger.java:159)
<== Total: 1
知识追寻者
1580739214