我有一个查询:
SELECT IFnull(t.diapason,'total') as diapason, COUNT(distinct user_id) AS
'number_of_users'
FROM (SELECT p.user_id, p.amount as total, CASE
when amount<=100 then '0-100'
when amount>100 and amount<=150 then '100-150'
when amount>150 then '>150 +' END AS diapason
FROM
(SELECT payments.user_id, SUM(amount) AS amount
FROM payments INNER JOIN (SELECT DISTINCT user_id FROM activity where
login_time between '2018-04-12' and '2018-04-18') a ON payments.user_id =
a.user_id
GROUP BY payments.user_id) p) t
GROUP BY diapason WITH ROLLUP
ORDER BY number_of_users desc;
如果我进行此查询,则会收到消息:
ERROR 1221 (HY000): Incorrect usage of CUBE/ROLLUP and ORDER BY
但是,如果我在不使用ORDER BY的情况下将其设为男性,则可以使用。但是我需要按顺序排列结果。
我该怎么办?
答案 0 :(得分:1)
使用子查询进行排序
select t1.* from
(
SELECT IFnull(t.diapason,'total') as diapason, COUNT(distinct user_id) AS
'number_of_users'
FROM (SELECT p.user_id, p.amount as total, CASE
when amount<=100 then '0-100'
when amount>100 and amount<=150 then '100-150'
when amount>150 then '>150 +' END AS diapason
FROM
(SELECT payments.user_id, SUM(amount) AS amount
FROM payments INNER JOIN (SELECT DISTINCT user_id FROM activity where
login_time between '2018-04-12' and '2018-04-18') a ON payments.user_id =
a.user_id
GROUP BY payments.user_id) p) t
GROUP BY diapason WITH ROLLUP
) as t1 ORDER BY t1.number_of_users desc;
答案 1 :(得分:0)
正如我在上一个问题中提到的那样,有一种更好的方法可以做到这一点,即假设大多数范围是均匀分布的(例如,以50、100等为块),对范围值的硬编码要少得多
+---------+--------+
| user_id | amount |
+---------+--------+
| 1 | 300 |
| 1 | 100 |
| 2 | 100 |
| 2 | 100 |
| 3 | 10 |
| 4 | 200 |
+---------+--------+
6 rows in set (0.00 sec)
select rng, obs
from
(
select 't' as src,
case when amount < 100 then '0-99'
when amount > 150 then '> 150'
else
concat(floor(amount/50) * 50 , '-' ,floor(amount/50) * 50 + 49)
end as rng,
count(*) obs
from t
group by src,rng
) a
union select 'Total' rng, count(*) from t
group by rng;
在这里使用底数计算得出范围值的大部分,简单的并集就可以计算出总数。
+---------+-----+
| rng | obs |
+---------+-----+
| 0-99 | 1 |
| 100-149 | 3 |
| > 150 | 2 |
| Total | 6 |
+---------+-----+
4 rows in set (0.01 sec)
如果您需要填写表格中不存在的范围值,请参见https://dba.stackexchange.com/questions/68791/group-by-in-ranges了解建议的方法。