
1 learningman 2021-01-23 13:42:53 +08:00 我的思路是读出来然后全部异或( 前提是 service_id 是个数字 |
2 ouyc OP service_id 可以是一个数字。是否还需要连表查询来,再异或。 |
3 7Qi7Qi 2021-01-23 15:27:57 +08:00 先查出来两条 service_id 相同的数据 service_id 集合,再直接判断 flag 值? |
4 flgn88 2021-01-23 17:10:41 +08:00 via iPhone group by service_id having ? |
5 danielmiao 2021-01-23 17:30:44 +08:00 如果我没理解错的话: 1. 数据表中有 service_id 相同的数据,但有些 service_id 只有一条; 2. flag 只有 flag1 和 flag2,不存在空的情况; 我的思路是先吧 flag2 的数据查出来,然后去表里查 flag1 且在 flag2 里有的数据。 SELECT * FROM test3 WHERE flag = 'flag1' AND sid IN ( SELECT sid FROM test3 WHERE flag='flag2' ); |
6 zlowly 2021-01-23 19:13:11 +08:00 试试看 group by service_id having count(flag)=sum(strcmp(flag,'flag1')) |
7 zlowly 2021-01-23 19:23:00 +08:00 搞错了,STRCMP(expr1,expr2)相等时才 0,既然只有 flag1,flag2,所以应该直接时 having sum(strcmp(flag,'flag1'))=0 |
8 F281M6Dh8DXpD1g2 2021-01-23 19:38:56 +08:00 select * from ( select a, max(case when b = 2 then b end) as flag1, max(case when b = 3 then b end) as flag2 from flags group by a ) dt where flag1 is not null and flag2 is null 行转列过滤一下就行 |
9 iamxmz 2021-01-23 21:20:43 +08:00 select service_id, count(flag), sum(flag) from service_info group by service_id having count(flag) = 1 and sum(flag) = flag1 |
10 PopRain 2021-01-23 22:07:47 +08:00 select service_id, sum(case when flag='flag1' then 1 else 0 end) as f1, sum(case when flag='flag2' then 1 else 0 end) as f2 from service_info group by service_id having sum(case when flag='flag1' then 1 else 0 end)=1 and sum(case when flag='flag2' then 1 else 0 end) =0 |