mybatis动态sql之分支选择(学习choose、when、otherwise标签)
EmployeeMapperDynamicSql.java
package com.gong.mybatis.mapper; import java.util.List; import java.util.Map; import org.apache.ibatis.annotations.MapKey; import com.gong.mybatis.bean.Employee; public interface EmployeeMapperDynamicSql { public List<Employee> getEmpByConditionIf(Employee employee); }
EmployeeMapperDynamicSql.xml
<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> <mapper namespace="com.gong.mybatis.mapper.EmployeeMapperDynamicSql"> <!-- 查询,要查那个就带上那个条件 --> <select id="getEmpByConditionIf" resultType="com.gong.mybatis.bean.Employee"> select * from tbl_employee <where> <choose> <when test="id!=null"> id=#{id} </when> <when test="lastName!=null"> last_name like #{lastName} </when> <when test="email!=null"> email=#{email} </when> <otherwise> </otherwise> </choose> </where> </select> </mapper>
说明:当传入了id,就会根据id来查询,传入了lastName,就根据last_name来查询,传入了email,就根据email查询。否则就执行otherwise标签里面的。
测试:
package com.gong.mybatis.test; import java.io.IOException; import java.io.InputStream; import java.util.List; import java.util.Map; import org.apache.ibatis.io.Resources; import org.apache.ibatis.session.SqlSession; import org.apache.ibatis.session.SqlSessionFactory; import org.apache.ibatis.session.SqlSessionFactoryBuilder; import org.junit.Test; import com.gong.mybatis.bean.Employee; import com.gong.mybatis.mapper.EmployeeMapperDynamicSql; public class TestMybatis3 { public SqlSessionFactory getSqlSessionFactory() throws IOException { String resource = "mybatis-config.xml"; InputStream is = Resources.getResourceAsStream(resource); return new SqlSessionFactoryBuilder().build(is); } @Test public void test() throws IOException { SqlSessionFactory sqlSessionFactory = getSqlSessionFactory(); SqlSession openSession = sqlSessionFactory.openSession(); try { EmployeeMapperDynamicSql mapper = openSession.getMapper(EmployeeMapperDynamicSql.class); Employee employee = new Employee(); // employee.setId(3); // employee.setLastName("%小%"); // employee.setEmail("xiaoming@qq.com"); List<Employee> es = mapper.getEmpByConditionIf(employee); for(Employee e:es) { System.err.println(e); } openSession.commit(); } finally { openSession.close(); } } }
首先根据id=3进行查询:
DEBUG 01-21 13:45:17,288 ==> Preparing: select * from tbl_employee WHERE id=? (BaseJdbcLogger.java:145) DEBUG 01-21 13:45:17,339 ==> Parameters: 3(Integer) (BaseJdbcLogger.java:145) DEBUG 01-21 13:45:17,410 <== Total: 1 (BaseJdbcLogger.java:145) Employee [id=3, lastName=小红, gender=0, email=xiaohong@qq.com, dept=null]
根据lastName="%小%"进行模糊查询:
DEBUG 01-21 13:46:04,385 ==> Preparing: select * from tbl_employee WHERE last_name like ? (BaseJdbcLogger.java:145) DEBUG 01-21 13:46:04,417 ==> Parameters: %小%(String) (BaseJdbcLogger.java:145) DEBUG 01-21 13:46:04,502 <== Total: 2 (BaseJdbcLogger.java:145) Employee [id=3, lastName=小红, gender=0, email=xiaohong@qq.com, dept=null] Employee [id=4, lastName=小明, gender=0, email=xiaoming@qq.com, dept=null]
根据email=xiximayou@qq.com进行查询:
DEBUG 01-21 13:46:43,284 ==> Preparing: select * from tbl_employee WHERE email=? (BaseJdbcLogger.java:145) DEBUG 01-21 13:46:43,347 ==> Parameters: xiximayou@qq.com(String) (BaseJdbcLogger.java:145) Employee [id=1, lastName=xiximayou, gender=1, email=xiximayou@qq.com, dept=null] DEBUG 01-21 13:46:43,394 <== Total: 1 (BaseJdbcLogger.java:145)
根据id=3,lastName=%小%进行查询:
DEBUG 01-21 13:47:30,447 ==> Preparing: select * from tbl_employee WHERE id=? (BaseJdbcLogger.java:145) DEBUG 01-21 13:47:30,522 ==> Parameters: 3(Integer) (BaseJdbcLogger.java:145) DEBUG 01-21 13:47:30,553 <== Total: 1 (BaseJdbcLogger.java:145) Employee [id=3, lastName=小红, gender=0, email=xiaohong@qq.com, dept=null]
不输入任何参数,默认查询:
DEBUG 01-21 14:18:25,159 ==> Preparing: select * from tbl_employee (BaseJdbcLogger.java:145) DEBUG 01-21 14:18:25,243 ==> Parameters: (BaseJdbcLogger.java:145) DEBUG 01-21 14:18:25,274 <== Total: 4 (BaseJdbcLogger.java:145) Employee [id=1, lastName=xiximayou, gender=1, email=xiximayou@qq.com, dept=null] Employee [id=2, lastName=jack, gender=1, email=675544321@qq.com, dept=null] Employee [id=3, lastName=小红, gender=0, email=xiaohong@qq.com, dept=null] Employee [id=4, lastName=小明, gender=0, email=xiaoming@qq.com, dept=null]
此时就会查询出所有的数据。