SQL如何求时间差之和

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题目如下：

求每个品牌的促销天数

表sale为促销营销表，数据中存在日期重复的情况，例如id为1的end_date为20180905，id为2的start_date为20180903，即id为1和id为2的存在重复的销售日期，求出每个品牌的促销天数(重复不算)

表结果如下：

+------+-------+------------+------------+| id | brand | start_date | end_date |+------+-------+------------+------------+| 1 | nike | 2018-09-01 | 2018-09-05 || 2 | nike | 2018-09-03 | 2018-09-06 || 3 | nike | 2018-09-09 | 2018-09-15 || 4 | oppo | 2018-08-04 | 2018-08-05 || 5 | oppo | 2018-08-04 | 2018-08-15 || 6 | vivo | 2018-08-15 | 2018-08-21 || 7 | vivo | 2018-09-02 | 2018-09-12 |+------+-------+------------+------------+

最终结果应为

建表语句

-- ------------------------------ Table structure for sale-- ----------------------------DROP TABLE IF EXISTS `sale`;CREATE TABLE `sale` ( `id` int(11) DEFAULT NULL, `brand` varchar(255) DEFAULT NULL, `start_date` date DEFAULT NULL, `end_date` date DEFAULT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf8;-- ------------------------------ Records of sale-- ----------------------------INSERT INTO `sale` VALUES (1, 'nike', '2018-09-01', '2018-09-05');INSERT INTO `sale` VALUES (2, 'nike', '2018-09-03', '2018-09-06');INSERT INTO `sale` VALUES (3, 'nike', '2018-09-09', '2018-09-15');INSERT INTO `sale` VALUES (4, 'oppo', '2018-08-04', '2018-08-05');INSERT INTO `sale` VALUES (5, 'oppo', '2018-08-04', '2018-08-15');INSERT INTO `sale` VALUES (6, 'vivo', '2018-08-15', '2018-08-21');INSERT INTO `sale` VALUES (7, 'vivo', '2018-09-02', '2018-09-12');

方式1：

利用自关联下一条记录的方法

select brand,sum(end_date-befor_date+1) all_days from  ( select s.id ,  s.brand ,  s.start_date ,  s.end_date ,   if(s.start_date>=ifnull(t.end_date,s.start_date) ,s.start_date,DATE_ADD(t.end_date,interval 1 day) ) as befor_date from sale s left join (select id+1 as id ,brand,end_date from sale) t on s.id = t.id and s.brand = t.brand order by s.id )tmp group by brand

运行结果

+-------+---------+| brand | all_day |+-------+---------+| nike |  13 || oppo |  12 || vivo |  18 |+-------+---------+

该方法对本题中的表格有效，但对于有id不连续的品牌的记录时不一定适用。

方式2：

SELECT a.brand,SUM( CASE   WHEN a.start_date=b.start_date AND a.end_date=b.end_date  AND NOT EXISTS(  SELECT *  FROM sale c LEFT JOIN sale d ON c.brand=d.brand    WHERE d.brand=a.brand   AND c.start_date=a.start_date   AND c.id<>d.id    AND (d.start_date BETWEEN c.start_date AND c.end_date AND d.end_date>c.end_date   OR   c.start_date BETWEEN d.start_date AND d.end_date AND c.end_date>d.end_date)    )    THEN (a.end_date-a.start_date+1)   WHEN (a.id<>b.id AND b.start_date BETWEEN a.start_date AND a.end_date AND b.end_date>a.end_date ) THEN (b.end_date-a.start_date+1)  ELSE 0 END  ) AS all_days FROM sale a JOIN sale b ON a.brand=b.brand GROUP BY a.brand

运行结果

+-------+----------+| brand | all_days |+-------+----------+| nike |  13 || oppo |  12 || vivo |  18 |+-------+----------+

其中条件

d.start_date BETWEEN c.start_date AND c.end_date AND d.end_date>c.end_date   OR c.start_date BETWEEN d.start_date AND d.end_date AND c.end_date>d.end_date

可以换成

c.start_date < d.end_date AND (c.end_date > d.start_date)

结果同样正确

用分析函数同样可行的，自己电脑暂时没装oracle，用的mysql写的。

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