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架構(二)Spring架構之使用JDBC模闆實際案例

通過架構學習(一)3.4節,JDBC完整模闆完成增删改查操作詳細步驟【==總結】

===========Spring JDBC模闆的使用

1.引入必要的Jar包

架構(二)Spring架構之使用JDBC模闆實際案例

2.抽取連接配接配置檔案jdbc.properties

jdbc.driverClass=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql:///spring_1
jdbc.username=root
jdbc.password=123456
           

3.配置xml配置檔案applicationContext.xml

<beans xmlns="http://www.springframework.org/schema/beans"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xmlns:context="http://www.springframework.org/schema/context"
    xmlns:aop="http://www.springframework.org/schema/aop"
    xmlns:tx="http://www.springframework.org/schema/tx"
    xsi:schemaLocation="http://www.springframework.org/schema/beans 
    http://www.springframework.org/schema/beans/spring-beans.xsd
    http://www.springframework.org/schema/context
    http://www.springframework.org/schema/context/spring-context.xsd
    http://www.springframework.org/schema/aop
    http://www.springframework.org/schema/aop/spring-aop.xsd
    http://www.springframework.org/schema/tx 
    http://www.springframework.org/schema/tx/spring-tx.xsd">
<!-- 1.引入配置檔案 -->
      <context:property-placeholder location="classpath:jdbc.properties"/>
<!-- 2.引入相應的值 -->
      <bean id="datasource" class="com.mchange.v2.c3p0.ComboPooledDataSource">
            <property name="driverClass" value="${jdbc.driverClass}"/>         //===========jdbc.properties裡的鍵
            <property name="jdbcUrl" value="${jdbc.url}"/>
            <property name="user" value="${jdbc.username}"/>
            <property name="password" value="${jdbc.password}"/>
      </bean>
<!--  3.配置Spring的JDBC模闆     -->
       <bean id="jdbcTemplate" class="org.springframework.jdbc.core.JdbcTemplate">
            <property name="dataSource" ref="datasource"></property>
       </bean>
</beans>
           

4.代碼完成資料庫的增删改查

/**
 * @author Leonard
 *	JDBC完成增删改查
 */
@RunWith(SpringJUnit4ClassRunner.class)//[email protected]用于測試
@ContextConfiguration("classpath:applicationContext.xml")//=======加載xml配置檔案
public class spring_2 {
	@Resource(name="jdbcTemplate")//===========引入jdbc模闆
	private JdbcTemplate jdbctemplate;
	/*==========增删改查操作=================*/
	@Test
	public void insert(){
		jdbctemplate.update("insert into account values(null,?,?)", "張三",230000d);
	}
	@Test	
	public void delete(){
		jdbctemplate.update("delete from account where id = ?", 1);
	}
	@Test	
	public void update(){
		jdbctemplate.update("update account set name = ? , money=? where id = ?", "李四",240000d,7);
	}
	/*================查詢操作================*/
	//1.查詢一個資料
	@Test
	public void select(){
		String name = jdbctemplate.queryForObject("select name from account where id=?", String.class, 5);
		System.out.println(name);
	}
	//2.統計個數
	@Test
	public void count(){
		Long count = jdbctemplate.queryForObject("select count(*) from account", Long.class);
		System.out.println("個數======="+count);
	}
	//3.将查詢的資料封裝到一個對象Account==建立domain層,set,get,重寫toString
	@Test
	public void obj(){
		Account account = jdbctemplate.queryForObject("select * from account where id = ?", new MyRowMapper(), 5);
		System.out.println("單條資料========"+account);
	}
	//4.查詢多條資料封裝到對象
	@Test
	public void objs(){
		List<Account> list = jdbctemplate.query("select * from account", new MyRowMapper());
		System.out.println("集合清單======="+list);
	}

	/*=========資料封裝=========================*/
	class MyRowMapper implements RowMapper<Account>{

		@Override
		public Account mapRow(ResultSet rs, int rowNum) throws SQLException {
			Account account = new Account();
			account.setId(rs.getInt("id"));
			account.setName(rs.getString("name"));
			account.setMoney(rs.getDouble("money"));
			
			return account;
		}
	}
} 
           

得到的查詢結果

ccc
單條資料========Account [id=5, name=ccc, money=333333.0]
集合清單=======[Account [id=2, name=bbb, money=222222.0], Account [id=3, name=ccc, money=333333.0], Account [id=4, name=ccc, money=333333.0], Account [id=5, name=ccc, money=333333.0], Account [id=7, name=李四, money=240000.0], Account [id=8, name=hhh, money=20000.0], Account [id=9, name=hhh, money=20000.0], Account [id=10, name=eee, money=555555.0], Account [id=11, name=eee, money=555555.0], Account [id=12, name=eee, money=555555.0], Account [id=13, name=張三, money=230000.0], Account [id=14, name=張三, money=230000.0], Account [id=15, name=張三, money=230000.0], Account [id=16, name=張三, money=230000.0], Account [id=17, name=張三, money=230000.0], Account [id=18, name=張三, money=230000.0], Account [id=19, name=張三, money=230000.0], Account [id=20, name=張三, money=230000.0]]
個數=======18
           

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