行转列与CASE.....WHEN...

SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for tabname
-- ----------------------------
DROP TABLE IF EXISTS `tabname`;
CREATE TABLE `tabname` (
  `Id` int(11) NOT NULL AUTO_INCREMENT,
  `Name` varchar(20) DEFAULT NULL,
  `Date` date DEFAULT NULL,
  `Scount` int(11) DEFAULT NULL,
  PRIMARY KEY (`Id`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of tabname
-- ----------------------------
INSERT INTO `tabname` VALUES (‘1‘, ‘小说‘, ‘2013-09-01‘, ‘10000‘);
INSERT INTO `tabname` VALUES (‘2‘, ‘微信‘, ‘2013-09-01‘, ‘20000‘);
INSERT INTO `tabname` VALUES (‘3‘, ‘小说‘, ‘2013-09-02‘, ‘30000‘);
INSERT INTO `tabname` VALUES (‘4‘, ‘微信‘, ‘2013-09-02‘, ‘35000‘);
INSERT INTO `tabname` VALUES (‘5‘, ‘小说‘, ‘2013-09-03‘, ‘31000‘);
INSERT INTO `tabname` VALUES (‘6‘, ‘微信‘, ‘2013-09-03‘, ‘36000‘);
INSERT INTO `tabname` VALUES (‘7‘, ‘小说‘, ‘2013-09-04‘, ‘35000‘);
INSERT INTO `tabname` VALUES (‘8‘, ‘微信‘, ‘2013-09-04‘, ‘38000‘);
INSERT INTO `tabname` VALUES (‘9‘, ‘微信‘, ‘2013-09-01‘, ‘30000‘);

id   Name   Date          Scount
1    小说    2013-09-01    10000
2    微信    2013-09-01    20000
3    小说    2013-09-02    30000
4    微信    2013-09-02    35000
5    小说    2013-09-03    31000
6    微信    2013-09-03    36000
7    小说    2013-09-04    35000
8    微信    2013-09-04    38000
9    微信    2013-09-01    30000

SELECT 
CASE NAME WHEN ‘小说‘ THEN Scount ELSE 0 END  小说,
CASE NAME WHEN ‘微信‘ THEN Scount ELSE 0 END  微信 
FROM TabName  
where Date=‘2013-09-01‘

小说       微信
10000     0
0        20000
0        30000

SELECT 
SUM(CASE NAME WHEN ‘小说‘ THEN Scount ELSE 0 END ) 小说,
SUM(CASE NAME WHEN ‘微信‘ THEN Scount ELSE 0 END ) 微信 
FROM TabName  
where Date=‘2013-09-01‘

小说      微信
10000    50000

SELECT Date ,
SUM(CASE NAME WHEN ‘小说‘ THEN Scount ELSE 0 END ) 小说,
SUM(CASE NAME WHEN ‘微信‘ THEN Scount ELSE 0 END ) 微信 
FROM TabName  
GROUP BY Date

Date　　　　　　小说　　　 微信
2013-09-01    10000    50000
2013-09-02    30000    35000
2013-09-03    31000    36000
2013-09-04    35000    38000