From : http://www.cnblogs.com/lhj588/archive/2012/06/15/2550392.html#

今晚需要统计数据生成简易报表,由原表格数据是单行的形式,最好转换为列表格式,由网上介绍方法实现如下:

希望获得的最终效果见下:

+-------+------+-------+-------+--------+--------+--------+---------------------+---------+
| 房间  | 房租 | 水费  | 电费  | 卫生费 | 电视费 | 网络费 | 记录时间            | total   |
+-------+------+-------+-------+--------+--------+--------+---------------------+---------+
| 0201  |  400 |     0 |     0 |     10 |      0 |      0 | 2011-02-08 11:01:21 |     410 |
| 0204  |  150 |     0 |     0 |     10 |      0 |      0 | 2011-02-08 11:00:21 |     160 |
| 0206  |  150 |     0 |     0 |     10 |      0 |      0 | 2011-01-16 18:02:50 |     160 |
| 0302  |  350 | 40.92 | 18.91 |     20 |     50 |     50 | 2011-01-18 01:45:23 |  529.83 |
| 0306  |  150 |     0 |     0 |     10 |      0 |      0 | 2011-02-08 11:23:15 |     160 |
| 0308  |  200 |     0 |     0 |     10 |      0 |      0 | 2011-03-28 22:26:41 |     210 |
| total | 1400 | 40.92 | 18.91 |     70 |     50 |     50 | 2011-03-28 22:26:41 | 1629.83 |
+-------+------+-------+-------+--------+--------+--------+---------------------+---------+

实现的SQL语句见下:

mysql>  SELECT
    ->      IFNULL(RoomNo,'total') AS 房间,
    ->      SUM(IF(FeeName='房租',FeeMoney,0)) AS 房租,
    ->      SUM(IF(FeeName='水费',FeeMoney,0)) AS 水费,
    ->      SUM(IF(FeeName='电费',FeeMoney,0)) AS 电费,
    ->      SUM(IF(FeeName='卫生费',FeeMoney,0)) AS 卫生费,
    ->      SUM(IF(FeeName='电视费',FeeMoney,0)) AS 电视费,
    ->      SUM(IF(FeeName='网络费',FeeMoney,0)) AS 网络费,
    ->      IFNULL(CDate, CDate) AS 记录时间,
    ->      SUM(IF(FeeName='total',FeeMoney,0)) AS total
    ->  FROM (
    -> select no.RoomNo as RoomNo, IFNULL(f.FeeName, 'total') as FeeName, SUM(f.FeeMoney) as FeeMoney, f.CreateDate as CDate
    -> from roomnoinfo no, Fee f
    -> where no.bid=1 and no.beempty='full' and no.RoomNo=f.RoomNo and
    -> f.CreateDate < '2011-03-31' and f.CreateDate >'2011-01-01'
    -> GROUP BY RoomNO, FeeName
    -> WITH ROLLUP
    -> HAVING RoomNO IS NOT NULL
    ->  ) AS A
    ->  GROUP BY RoomNo
    ->  WITH ROLLUP;

源数据的表格式如下:

mysql> select RoomNo, CreateDate, FeeName, FeeMoney from Fee where bid=1;
+--------+---------------------+---------+----------+
| RoomNo | CreateDate          | FeeName | FeeMoney |
+--------+---------------------+---------+----------+
| 0101   | 2011-01-15 22:41:24 | 房租    |      200 |
| 0101   | 2011-01-15 22:41:24 | 水费    |     13.2 |
| 0101   | 2011-01-15 22:41:24 | 电费    |      6.1 |
| 0102   | 2011-01-16 17:01:52 | 房租    |      150 |
| 0102   | 2011-01-16 17:01:52 | 水费    |    145.2 |
| 0102   | 2011-01-16 17:01:52 | 电费    |     67.1 |
| 0102   | 2011-01-16 17:01:52 | 卫生费  |       10 |
| 0204   | 2011-02-08 11:00:21 | 房租    |      150 |
| 0204   | 2011-02-08 11:00:21 | 水费    |     NULL |
| 0204   | 2011-02-08 11:00:21 | 电费    |     NULL |
| 0204   | 2011-02-08 11:00:21 | 卫生费  |       10 |
| 0206   | 2011-01-16 18:02:50 | 房租    |      150 |
| 0206   | 2011-01-16 18:02:50 | 水费    |     NULL |
| 0206   | 2011-01-16 18:02:50 | 电费    |     NULL |
| 0206   | 2011-01-16 18:02:50 | 卫生费  |       10 |
| 0302   | 2011-01-18 01:42:35 | 房租    |      150 |
| 0302   | 2011-01-18 01:42:35 | 水费    |    40.92 |
| 0302   | 2011-01-18 01:42:35 | 电费    |    18.91 |
| 0302   | 2011-01-18 01:42:35 | 卫生费  |       10 |
| 0302   | 2011-01-18 01:45:23 | 卫生费  |       10 |
| 0302   | 2011-01-18 01:45:23 | 房租    |      200 |
| 0302   | 2011-01-18 01:45:23 | 网络费  |       50 |
| 0302   | 2011-01-18 01:45:23 | 电视费  |       50 |
| 0306   | 2011-02-08 11:23:15 | 房租    |      150 |
| 0306   | 2011-02-08 11:23:15 | 水费    |     NULL |
| 0306   | 2011-02-08 11:23:15 | 电费    |     NULL |
| 0306   | 2011-02-08 11:23:15 | 卫生费  |       10 |
| 0308   | 2011-03-28 22:26:41 | 房租    |      200 |
| 0308   | 2011-03-28 22:26:41 | 水费    |     NULL |
| 0308   | 2011-03-28 22:26:41 | 电费    |     NULL |
| 0308   | 2011-03-28 22:26:41 | 卫生费  |       10 |
+--------+---------------------+---------+----------+
31 rows in set (0.02 sec)

原文介绍地址 http://blogold.chinaunix.net/u3/90603/showart_2017912.html

数据样本:

create table tx(
 id int primary key,
 c1 char(2),
 c2 char(2),
 c3 int
);

insert into tx values
(1 ,'A1','B1',9),
(2 ,'A2','B1',7),
(3 ,'A3','B1',4),
(4 ,'A4','B1',2),
(5 ,'A1','B2',2),
(6 ,'A2','B2',9),
(7 ,'A3','B2',8),
(8 ,'A4','B2',5),
(9 ,'A1','B3',1),
(10 ,'A2','B3',8),
(11 ,'A3','B3',8),
(12 ,'A4','B3',6),
(13 ,'A1','B4',8),
(14 ,'A2','B4',2),
(15 ,'A3','B4',6),
(16 ,'A4','B4',9),
(17 ,'A1','B4',3),
(18 ,'A2','B4',5),
(19 ,'A3','B4',2),
(20 ,'A4','B4',5);

mysql> select * from tx;
+----+------+------+------+
| id | c1   | c2   | c3   |
+----+------+------+------+
|  1 | A1   | B1   |    9 |
|  2 | A2   | B1   |    7 |
|  3 | A3   | B1   |    4 |
|  4 | A4   | B1   |    2 |
|  5 | A1   | B2   |    2 |
|  6 | A2   | B2   |    9 |
|  7 | A3   | B2   |    8 |
|  8 | A4   | B2   |    5 |
|  9 | A1   | B3   |    1 |
| 10 | A2   | B3   |    8 |
| 11 | A3   | B3   |    8 |
| 12 | A4   | B3   |    6 |
| 13 | A1   | B4   |    8 |
| 14 | A2   | B4   |    2 |
| 15 | A3   | B4   |    6 |
| 16 | A4   | B4   |    9 |
| 17 | A1   | B4   |    3 |
| 18 | A2   | B4   |    5 |
| 19 | A3   | B4   |    2 |
| 20 | A4   | B4   |    5 |
+----+------+------+------+
20 rows in set (0.00 sec)

mysql>

期望结果

+------+-----+-----+-----+-----+------+
|C1    |B1   |B2   |B3   |B4   |Total |
+------+-----+-----+-----+-----+------+
|A1    |9    |2    |1    |11   |23    |
|A2    |7    |9    |8    |7    |31    |
|A3    |4    |8    |8    |8    |28    |
|A4    |2    |5    |6    |14   |27    |
|Total |22   |24   |23   |40   |109   |
+------+-----+-----+-----+-----+------+

1. 利用SUM(IF()) 生成列 + WITH ROLLUP 生成汇总行,并利用 IFNULL将汇总行标题显示为 Total

mysql> SELECT
    ->     IFNULL(c1,'total') AS total,
    ->     SUM(IF(c2='B1',c3,0)) AS B1,
    ->     SUM(IF(c2='B2',c3,0)) AS B2,
    ->     SUM(IF(c2='B3',c3,0)) AS B3,
    ->     SUM(IF(c2='B4',c3,0)) AS B4,
    ->     SUM(IF(c2='total',c3,0)) AS total
    -> FROM (
    ->     SELECT c1,IFNULL(c2,'total') AS c2,SUM(c3) AS c3
    ->     FROM tx
    ->     GROUP BY c1,c2
    ->     WITH ROLLUP
    ->     HAVING c1 IS NOT NULL
    -> ) AS A
    -> GROUP BY c1
    -> WITH ROLLUP;
+-------+------+------+------+------+-------+
| total | B1   | B2   | B3   | B4   | total |
+-------+------+------+------+------+-------+
| A1    |    9 |    2 |    1 |   11 |    23 |
| A2    |    7 |    9 |    8 |    7 |    31 |
| A3    |    4 |    8 |    8 |    8 |    28 |
| A4    |    2 |    5 |    6 |   14 |    27 |
| total |   22 |   24 |   23 |   40 |   109 |
+-------+------+------+------+------+-------+
5 rows in set, 1 warning (0.00 sec)

2. 利用SUM(IF()) 生成列 + UNION 生成汇总行,并利用 IFNULL将汇总行标题显示为 Total
mysql> select c1,
    -> sum(if(c2='B1',C3,0)) AS B1,
    -> sum(if(c2='B2',C3,0)) AS B2,
    -> sum(if(c2='B3',C3,0)) AS B3,
    -> sum(if(c2='B4',C3,0)) AS B4,SUM(C3) AS TOTAL
    -> from tx
    -> group by C1
    -> UNION
    -> SELECT 'TOTAL',sum(if(c2='B1',C3,0)) AS B1,
    -> sum(if(c2='B2',C3,0)) AS B2,
    -> sum(if(c2='B3',C3,0)) AS B3,
    -> sum(if(c2='B4',C3,0)) AS B4,SUM(C3) FROM TX
    -> ;
+-------+------+------+------+------+-------+
| c1    | B1   | B2   | B3   | B4   | TOTAL |
+-------+------+------+------+------+-------+
| A1    |    9 |    2 |    1 |   11 |    23 |
| A2    |    7 |    9 |    8 |    7 |    31 |
| A3    |    4 |    8 |    8 |    8 |    28 |
| A4    |    2 |    5 |    6 |   14 |    27 |
| TOTAL |   22 |   24 |   23 |   40 |   109 |
+-------+------+------+------+------+-------+
5 rows in set (0.00 sec)

mysql>

3.  利用SUM(IF()) 生成列,直接生成结果不再利用子查询
mysql> select ifnull(c1,'total'),
    -> sum(if(c2='B1',C3,0)) AS B1,
    -> sum(if(c2='B2',C3,0)) AS B2,
    -> sum(if(c2='B3',C3,0)) AS B3,
    -> sum(if(c2='B4',C3,0)) AS B4,SUM(C3) AS TOTAL
    -> from tx
    -> group by C1 with rollup ;
+--------------------+------+------+------+------+-------+
| ifnull(c1,'total') | B1   | B2   | B3   | B4   | TOTAL |
+--------------------+------+------+------+------+-------+
| A1                 |    9 |    2 |    1 |   11 |    23 |
| A2                 |    7 |    9 |    8 |    7 |    31 |
| A3                 |    4 |    8 |    8 |    8 |    28 |
| A4                 |    2 |    5 |    6 |   14 |    27 |
| total              |   22 |   24 |   23 |   40 |   109 |
+--------------------+------+------+------+------+-------+
5 rows in set (0.00 sec)

mysql>

4. 动态,适用于列不确定情况,

mysql> SET @EE='';
mysql> SELECT @EE:=CONCAT(@EE,'SUM(IF(C2=\'',C2,'\'',',C3,0)) AS ',C2,',') FROM (SELECT DISTINCT C2 FROM TX) A;

mysql> SET @QQ=CONCAT('SELECT ifnull(c1,\'total\'),',LEFT(@EE,LENGTH(@EE)-1),' ,SUM(C3) AS TOTAL FROM TX GROUP BY C1 WITH ROLLUP');
Query OK, 0 rows affected (0.00 sec)

mysql> PREPARE stmt2 FROM @QQ;
Query OK, 0 rows affected (0.00 sec)
Statement prepared

mysql> EXECUTE stmt2;
+--------------------+------+------+------+------+-------+
| ifnull(c1,'total') | B1   | B2   | B3   | B4   | TOTAL |
+--------------------+------+------+------+------+-------+
| A1                 |    9 |    2 |    1 |   11 |    23 |
| A2                 |    7 |    9 |    8 |    7 |    31 |
| A3                 |    4 |    8 |    8 |    8 |    28 |
| A4                 |    2 |    5 |    6 |   14 |    27 |
| total              |   22 |   24 |   23 |   40 |   109 |
+--------------------+------+------+------+------+-------+
5 rows in set (0.00 sec)

mysql>

以上均由网友  liangCK , wwwwb , WWWWA , dap570 提供, 再次感谢他们的支持。

其实数据库中也可以用 CASE WHEN / DECODE 代替 IF

【转】Mysql行转换为列的更多相关文章

  1. MYSQL 行转列 以及基本的聚合函数count,与group by 以及distinct组合使用

    在统计查询中,经常会用到count函数,这里是基础的 MYSQL 行转列 以及基本的聚合函数count,与group by 以及distinct组合使用 -- 创建表 CREATE TABLE `tb ...

  2. excel中怎么将行转换为列及列转换成行

    操作方法 01 选中要把行转换为列的数据.然后点击键盘上的ctrl+c. 02 在需要放置的单元格上,右键点击,然后点击菜单上的‘选择性粘贴’. 03 在弹出的窗口上,点击勾选上‘转置’.点击确定按钮 ...

  3. MySQL 行转列 -》动态行转列 -》动态行转列带计算

    Pivot Table Using MySQL - A Complete Guide | WebDevZoomhttp://webdevzoom.com/pivot-table-using-mysql ...

  4. MySql 行转列 存储过程实现

    同学们在使用mysql的过程中,会遇到一个行转列的问题,就是把多条数据转化成一条数据 用多列显示. 方法1. 实现方式用下面的存储过程,表名对应的修改就行. BEGIN declare current ...

  5. mysql行转列,函数GROUP_CONCAT(expr)

    demo: 语句: SELECT '行' id, '' product_nameUNIONSELECT id, product_name FROM `product` WHERE id < 5 ...

  6. mysql行转列 问题 SUM(IF(条件,列值,0))

    sum(if(条件,列值,0))语法用例: select name,sum(if(subject="语文",score,0)) as "语文" from gra ...

  7. mysql行转列、列转行示例

    最近在开发过程中遇到问题,需要将数据库中一张表信息进行行转列操作,再将每列(即每个字段)作为与其他表进行联表查询的字段进行显示. 借此机会,在网上查阅了相关方法,现总结出一种比较简单易懂的方法备用. ...

  8. MySQL行转列、列转行

    一.行转列 有如图所示的表,现在希望查询的结果将行转成列 建表语句如下: CREATE TABLE `TEST_TB_GRADE` ( `ID` int(10) NOT NULL AUTO_INCRE ...

  9. mysql 行转列 列转行

    一.行转列 即将原本同一列下多行的不同内容作为多个字段,输出对应内容. 建表语句 DROP TABLE IF EXISTS tb_score; CREATE TABLE tb_score( id ) ...

随机推荐

  1. linux上jenkins连接windows并执行exe文件

    1.如果要通过ssh的方式来连接windows的话,首先需要在windows上安装freesshd来配置启动.配置ssh(win10上自带了openssh可以进行安装使用,但我机器装不上) 1.1.下 ...

  2. 支付宝app支付服务端流程

    支付宝APP支付服务端详解 前面接了微信支付,相比微信支付,支付宝APP支付提供了支付封装类,下面将实现支付宝APP支付.订单查询.支付结果异步通知.APP支付申请参数说明,以及服务端返回APP端发起 ...

  3. 跟厂长学PHP7内核(八):深入理解字符串的实现

    在前面大致预览了常用变量的结构之后,我们今天来仔细的剖析一下字符串的具体实现. 一.字符串的结构 struct _zend_string { zend_refcounted_h gc; /* 字符串类 ...

  4. 手动搭建ABP2.1.3 Zero——基础框架

    一.基础层搭建 二.PM.Core 三.PM.EntityFramework 四.PM.Application 五.PM.WebApi 六.PM.Web(MPA) 七.PM.Web(SPA) 八.单元 ...

  5. Codeforces Round #501 (Div. 3) F. Bracket Substring

    题目链接 Codeforces Round #501 (Div. 3) F. Bracket Substring 题解 官方题解 http://codeforces.com/blog/entry/60 ...

  6. HDU 5908 Abelian Period 暴力

    Abelian Period 题目连接: http://acm.hdu.edu.cn/showproblem.php?pid=5908 Description Let S be a number st ...

  7. 使用WindowsAPICodePack实现翻译功能

    仅限于以下几种语言间的翻译: 在我的另一篇博文<图片批量压缩>中,有介绍WindowsAPICodePack库,该库是微软提供的一套基于Win7及以上版本操作系统的系统库,可以帮助我们完成 ...

  8. LPC18xx/43xx SWD/JTAG Debug Connector

  9. 《Go语言实战》摘录:6.4 并发 - 锁住共享资源

    6.4 锁住共享资源

  10. delphi 隐藏标题栏

      1.隐藏窗体的标题栏在Delphi中隐藏窗体的标题栏,相信大家都会说是一个件十分容易的事情,只需要设置BorderStyle的属性为bsNone就可以了,不过这种设置方法不但去掉了窗体的标题栏,而 ...