-- ---------------------------- -- 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=9 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' );
-- ------------------------ -- 查看数据 -- ------------------------ SELECT * from TabName ;
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-- ------------------------ -- 列转行统计数据 -- ------------------------ SELECT Date ,
MAX ( CASE NAME WHEN '小说' THEN Scount ELSE 0 END ) 小说,
MAX ( CASE NAME WHEN '微信' THEN Scount ELSE 0 END ) 微信
FROM TabName
GROUP BY Date <br><br>
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-- ------------------------ -- 行转列统计数据 -- ------------------------ |

<br> select
Date , group_concat( NAME , '总量:' ,Scount) as b_str from TabName
group by Date
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select Date , NAME , group_concat( NAME , '总量:' ,Scount) as b_str from TabName
group by Date , NAME
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