Mysql 列转行统计查询、行转列统计查询

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本文介绍了一种使用SQL进行数据转换的方法，包括如何将列转换为行或将行转换为列，适用于需要灵活展示数据的场景。通过具体实例展示了CASE语句和GROUP_CONCAT函数的应用。

-- ----------------------------
-- 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

Mysql 列转行统计查询 、行转列统计查询

Mysql 列转行统计查询、行转列统计查询