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. Storm集群启动流程分析

    Storm集群启动流程分析 程序员 1.客户端运行storm nimbus时,会调用storm的python脚本,该脚本中为每个命令编写了一个方法,每个方法都可以生成一条相应的Java命令. 命令格式 ...

  2. spark web ui中的skipped的含义

    顾名思义,跳出的意思啦. 例如如图: skipped的stages代表是已经执行过了.所以不需要再执行了. 如何,你有一个 testRdd.然后先做 testRdd.Filter("xxx& ...

  3. jenkins自动构建部署

    环境 centos7   tomcat8.5.37   maven3.3.9   jdk8   git1.8.3.1 安装jdk,tomcat,maven,git(环境变量,配置文件什么的自行百度) ...

  4. AI技术在智能海报设计中的应用

    背景 在视觉设计领域中,设计师们往往会因为一些简单需求付出相当多的时间,比如修改文案内容,设计简单的海报版式,针对不同机型.展位的多尺寸拓展等.这些工作需要耗费大量的时间.人力成本(5~6张/人日), ...

  5. Java 持久化之 -- IO 全面整理(看了绝不后悔)

    目录: 一.java io 概述 什么是IO? IO包括输入流和输出流,输入流指的是将数据以字符或者字节形式读取到内存 分为字符输入流和字符输入流 输入流指的是从内存读取到外界 ,分为字符输入流和字节 ...

  6. Android 前台服务

    Android 前台服务 学习自 https://blog.csdn.net/guolin_blog/article/details/11952435#t3 前台服务漫谈 我们之前学习的Service ...

  7. Android View事件分发-从源码分析

    View事件分发-从源码分析 学习自 <Android开发艺术探索> https://blog.csdn.net/qian520ao/article/details/78555397?lo ...

  8. hdu 4407 容斥原理

    题意: 1 //一组数据 3 3 //数字为1-3,3次运算 2 2 3 //将2号位变成3 1 1 3 4 //计算1-3号位上与4互质的数的和 1 2 3 6 好题,需要重复练习 #include ...

  9. Codeforces Round #371 (Div. 2) C. Sonya and Queries 水题

    C. Sonya and Queries 题目连接: http://codeforces.com/contest/714/problem/C Description Today Sonya learn ...

  10. HOWTO: Use STM32 SPI half duplex mode

    HOWTO: Use STM32 SPI half duplex mode I’ve got my hands onto some STM32F030F4P6 ARM-Cortex M0 proces ...