分类: Mysql/postgreSQL
2016-08-11 11:36:27
-- ----------------------------
-- 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 ;
|
-- ------------------------
-- 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
|
|
-- ------------------------
-- 行转列统计数据
-- ------------------------
|
select
Date, group_concat(NAME,'总量:',Scount) as b_str from TabName
group by Date
|
select Date,NAME, group_concat(NAME,'总量:',Scount) as b_str from TabName
group by Date ,NAME
|