如何在 JDBC 中重新排序表的列?

jdbcjava 8object oriented programmingprogramming

您可以使用 ALTER TABLE 命令重新排序 MySQL 数据库中表的列。

语法

ALTER TABLE 表名 修改列名 数据类型 AFTER 另一个列

假设数据库中有一个名为 dispatches_data的表,包含 7 列,分别为 ProductName、CustomerName、DispatchDate、DeliveryTime、Price、Location 和 ID,描述为 −

//检索时间对象
Time timeObj = rs.getTime("DeliveryTime");
//将时间对象转换为字符串格式
String time = timeObj.toString();

示例

让我们使用 CREATE 语句在 MySQL 数据库中创建一个名为 dispatches 的表,如下所示−

CREATE TABLE dispatches(
   ProductName VARCHAR(255),
   CustomerName VARCHAR(255),
   Price INT,
   Location VARCHAR(255),
   DispatchTimeStamp timestamp);

现在,我们将使用 INSERT 语句在 dispatches_data 表中插入 6 条记录 −

insert into dispatches values('Key-Board', 'Raja', 7000, 'Hyderabad', TIMESTAMP('2019-05-04 15:02:45'));
insert into dispatches values('Earphones', 'Roja', 2000, 'Vishakhapatnam', TIMESTAMP('2019-06-26 14:13:12'));
insert into dispatches values('Mouse', 'Puja', 3000, 'Vijayawada', TIMESTAMP('2019-12-07 07:50:37'));
insert into dispatches values('Mobile', 'Vanaja', 9000, 'Chennai', TIMESTAMP('2018-03-21 16:00:45'));
insert into dispatches values('Headset', 'Jalaja', 6000, 'Goa', TIMESTAMP('2018-12-30 10:49:27'));
insert into dispatches values('Watch', 'Rajan', 4000, 'Chennai', TIMESTAMP('2019-04-21 14:17:02'));

以下 JDBC 程序与数据库建立连接并重新排序 dispatches_data 表的列。

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.Statement;
public class ReorderingColumnsOfTable {
   public static void main(String args[])throws Exception {
      //注册驱动程序
      DriverManager.registerDriver(new com.mysql.jdbc.Driver());
      //获取连接
      String mysqlUrl = "jdbc:mysql://localhost/mydatabase";
      Connection con = DriverManager.getConnection(mysqlUrl, "root", "password");
      System.out.println("连接已建立......");
      //创建 Statement 对象
      Statement stmt = con.createStatement();
      //查询以重新排序表
      String query = "ALTER TABLE dispatches_data MODIFY DispatchTimeStamp timestamp AFTER CustomerName";
      //执行查询
      stmt.execute(query);
      //检索 dispatches_data 表的内容
      stmt = con.createStatement();
      ResultSet rs = stmt.executeQuery("select * from dispatches_data");
      while(rs.next()) {
         System.out.print("Name: "+rs.getString("ProductName")+", ");
         System.out.print("Customer Name: "+rs.getString("CustomerName")+", ");
         System.out.print("Dispatch time stamp: "+rs.getTimestamp("DispatchTimeStamp")+", ");
         System.out.print("Price: "+rs.getInt("Price")+", ");
         System.out.print("Location: "+rs.getString("Location"));
         System.out.println();
      }
   }
}

在此程序中,我们使用 alter 命令将 DispatchTimeStamp 列从第 5 位移动到第 3 位。

输出

连接已建立……
Name: Key-Board, Customer Name: Raja, Dispatch time stamp: 2019-05-04 15:02:45.0, Price: 7000, Location: Hyderabad
Name: Earphones, Customer Name: Roja, Dispatch time stamp: 2019-06-26 14:13:12.0, Price: 2000, Location: Vishakhapatnam
Name: Mouse, Customer Name: Puja, Dispatch time stamp: 2019-12-07 07:50:37.0, Price: 3000, Location: Vijayawada
Name: Mobile, Customer Name: Vanaja, Dispatch time stamp: 2018-03-21 16:00:45.0, Price: 9000, Location: Chennai
Name: Headset, Customer Name: Jalaja, Dispatch time stamp: 2018-12-30 10:49:27.0, Price: 6000, Location: Goa
Name: Watch, Customer Name: Rajan, Dispatch time stamp: 2019-04-21 14:17:02.0, Price: 4000, Location: Chennai
if you verify the contents of the table you can observe that the order of the columns has been changed.
mysql> select * from dispatches_data;
+-------------+--------------+---------------------+-------+----------------+
| ProductName | CustomerName | DispatchTimeStamp | Price | Location |
+-------------+--------------+---------------------+-------+----------------+
| Key-Board | Raja | 2019-05-04 15:02:45 | 7000 | Hyderabad |
| Earphones | Roja | 2019-06-26 14:13:12 | 2000 | Vishakhapatnam |
| Mouse | Puja | 2019-12-07 07:50:37 | 3000 | Vijayawada |
| Mobile | Vanaja | 2018-03-21 16:00:45 | 9000 | Chennai |
| Headset | Jalaja | 2018-12-30 10:49:27 | 6000 | Goa |
| Watch | Rajan | 2019-04-21 14:17:02 | 4000 | Chennai |
+-------------+--------------+---------------------+-------+----------------+
6 rows in set (0.00 sec)

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