新用户是指uuid在过去的24小时内(从现在开始,减去触发查询的时间)出现在table2中,并且以前没有出现过的用户.
常规用户是指uuid在表2的最后一天出现,并且在最近3天内至少出现一次的用户.
除此之外,只有ID为> 10和ip!= 2将被考虑.
table1是一个包含日期的临时表.我无法弄清楚如何在连接的帮助下实现这一目标.请帮我.
表2
+----+---------------------+------+------+ | id | ts | uuid | ip | +----+---------------------+------+------+ | 1 | 2010-01-10 00:00:00 | uid1 | 5 | | 2 | 2010-01-10 00:00:00 | uid2 | 14 | | 3 | 2010-01-10 00:00:00 | uid3 | 11 | | 4 | 2010-01-11 00:00:00 | uid4 | 16 | | 5 | 2010-01-11 00:00:00 | uid5 | 4 | | 6 | 2010-01-13 00:00:00 | uid6 | 2 | | 7 | 2010-01-10 00:00:00 | uid1 | 1 | | 8 | 2010-01-11 00:00:00 | uid2 | 10 | | 9 | 2010-01-12 00:00:00 | uid1 | 1 | | 10 | 2010-01-13 00:00:00 | uid4 | 1 | | 11 | 2010-01-09 21:00:00 | uid1 | 1 | | 12 | 2010-01-09 21:30:00 | uid1 | 2 | | 13 | 2010-01-10 05:00:00 | uid2 | 3 | | 14 | 2010-01-10 12:00:00 | uid1 | 1 | | 15 | 2010-01-10 12:00:00 | uid3 | 1 | | 16 | 2010-01-10 21:00:01 | uid1 | 7 | | 17 | 2010-01-11 01:00:00 | uid2 | 14 | | 18 | 2010-01-11 05:00:00 | uid2 | 11 | | 19 | 2010-01-11 17:59:00 | uid4 | 13 | | 20 | 2010-01-11 06:00:00 | uid5 | 12 | | 21 | 2010-01-11 18:01:00 | uid1 | 14 | | 22 | 2010-01-12 23:05:00 | uid4 | 17 | | 23 | 2010-01-13 12:01:23 | uid6 | 13 | +----+---------------------+------+------+ 23 rows in set (0.00 sec)
表格1
+------------+ | ts | +------------+ | 2010-01-10 | | 2010-01-11 | | 2010-01-12 | | 2010-01-13 | +------------+ 4 rows in set (0.00 sec)
+------------+-------+
| ts | users |
+------------+-------+
| 2010-01-10 | 3 |
| 2010-01-11 | 2 |
| 2010-01-12 | 0 |
| 2010-01-13 | 1 |
+------------+-------+
4 rows in set (0.00 sec)
MysqL表转储
DROP TABLE IF EXISTS `table1`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `table1` (
`ts` date NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
INSERT INTO `table1` VALUES ('2010-01-10'),('2010-01-11'),('2010-01-12'),('2010-01-13');
DROP TABLE IF EXISTS `table2`;
CREATE TABLE `table2` (
`id` int(11) NOT NULL AUTO_INCREMENT,`ts` datetime DEFAULT NULL,`uuid` varchar(20) DEFAULT NULL,`ip` int(11) DEFAULT NULL,PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=24 DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
INSERT INTO `table2` VALUES (1,'2010-01-10 00:00:00','uid1',5),(2,'uid2',14),(3,'uid3',11),(4,'2010-01-11 00:00:00','uid4',16),(5,'uid5',4),(6,'2010-01-13 00:00:00','uid6',2),(7,1),(8,10),(9,'2010-01-12 00:00:00',(10,(11,'2010-01-09 21:00:00',(12,'2010-01-09 21:30:00',(13,'2010-01-10 05:00:00',3),(14,'2010-01-10 12:00:00',(15,(16,'2010-01-10 21:00:01',7),(17,'2010-01-11 01:00:00',(18,'2010-01-11 05:00:00',(19,'2010-01-11 17:59:00',13),(20,'2010-01-11 06:00:00',12),(21,'2010-01-11 18:01:00',(22,'2010-01-12 23:05:00',17),(23,'2010-01-13 12:01:23',13);
最佳答案
您可以将表本身连接起来,以搜索同一用户超过一天的条目.如果没有一日匹配项,则左侧联接表中的字段将为NULL.
原文链接:https://www.f2er.com/mysql/532033.html例如:
select
YEAR(cur.ts) as year,MONTH(cur.ts) as month,DAY(cur.ts) as day,case when old.uuid is null then 1 else 0 end as IsNewUser,count(distinct cur.uuid) as Users
from table2 cur
left join table2 old
on cur.uuid = old.uuid
and old.ip <> 2
and old.id > 10
and cur.ts - old.ts > 1
where cur.ip <> 2
and cur.id > 10
group by year,month,day,IsNewUser
order by year,IsNewUser