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评论日期 题目名称 评论内容 站长评论
2025-10-19 字符串与通配符(1)名称里面有特服,可以使用通配符 
商户名称字符中,包含“按摩保健休闲”6个字的有多少个商户?
注意同名商户要去重:count(distinct mch_nm) as mch_cnt
啥也没说

提交记录

提交日期 题目名称 提交代码
2026-02-17 字符串与通配符(2)好多关键词做规则,可以使用rlike 
select * from cmb_usr_trx_rcd limit 5;
2025-10-19 字符串与通配符(1)名称里面有特服,可以使用通配符 
select 
	count(distinct mch_nm) as mch_cnt
from cmb_usr_trx_rcd
where mch_nm like '%按摩保健休闲'
2025-10-19 字符串与通配符(1)名称里面有特服,可以使用通配符 
select 
	count(1) as mch_cnt
from cmb_usr_trx_rcd
where mch_nm like '%按摩保健休闲'
2025-10-19 分组与聚合函数(6)想知道渣男有多坏,疯狂使用GroupBy 
select 
	usr_id,
mch_nm,
sum(trx_amt) as trx_amt,
count(1) as trx_cnt,
min(trx_time) as first_time
from cmb_usr_trx_rcd
where
	usr_id = '5201314520'
and trx_amt >= 288
group by
	mch_nm
order by
	trx_cnt desc
2025-10-19 分组与聚合函数(5)想知道何时成瘾,用Max Or Min? 
select 
	usr_id,
min(trx_time) as first_time,
mch_nm
from cmb_usr_trx_rcd
group by
    usr_id, mch_nm;
2025-10-19 分组与聚合函数(5)五花八门的项目,其实都有固定套路(2) 
select 
	trx_amt,
count(1) as total_trx_cnt,
count(distinct usr_id) as unique_usr_cnt,
	count(1)/count(distinct usr_id) as avg_trx_per_user
from cmb_usr_trx_rcd 
where
	mch_nm = "红玫瑰按摩保健休闲"
	and trx_time >= '2023-01-01' and trx_time < '2024-07-01'
group by
	trx_amt
order by
	avg_trx_per_user desc
limit 5;
2025-10-19 分组与聚合函数(3)五花八门的项目,其实都有固定套路(1) 
select 
	trx_amt as 消费金额,
count(1) as trx_cnt
from cmb_usr_trx_rcd 
where
	mch_nm = '红玫瑰按摩保健休闲'
and trx_time >= '2024-01-01' and trx_time < '2024-08-01'
group by
	trx_amt
order by
	trx_cnt desc
limit 5;
2025-10-18 分类(1)姿势太多很过分,分类要用CaseWhen 
select 
	case when trx_amt = 288 then '1. WithHand'
	when trx_amt = 388then '2.WithMimi'
	when trx_amt = 588then '3.BlowJobbie'
	when trx_amt = 888then '4.Doi'
	when trx_amt = 1288 then '5.DoubleFly'
	else '6.other' 
	end as ser_typ,
count(1) as trx_cnt,
min(date(trx_time)) as first_date
from 
	cmb_usr_trx_rcd
where
	usr_id = '5201314520' and mch_nm = '红玫瑰按摩保健休闲'
group by
	ser_typ
order by 1
2025-10-18 分类(1)姿势太多很过分,分类要用CaseWhen 
select 
	case when trx_amt = 288 then '1. WithHand'
	when trx_amt = 388then '2. WithMimi'
	when trx_amt = 588then '3. BlowJobbie'
	when trx_amt = 888then '4. Doi'
	when trx_amt = 1288 then '5. DoubleFly'
	else '6. other' 
	end as ser_typ,
count(1) as trx_cnt,
min(date(trx_time)) as first_date
from 
	cmb_usr_trx_rcd
where
	usr_id = '5201314520' and mch_nm = '红玫瑰按摩保健休闲'
group by
	ser_typ
order by 1
2025-10-18 分类(1)姿势太多很过分,分类要用CaseWhen 
select 
	case when trx_amt = 288 then '1. WithHand'
	when trx_amt = 388then '2. WithMimi'
	when trx_amt = 588then '3. BlowJobbie'
	when trx_amt = 888then '4. Doi'
	when trx_amt = 1288 then '5. DoubleFly'
	else '6.Other'
	end as ser_typ,
count(1) as trx_cnt,
min(date(trx_time)) as first_date
from 
	cmb_usr_trx_rcd
where
	usr_id = '5201314520' and mch_nm = '红玫瑰按摩保健休闲'
group by
	ser_typ
order by 1
2025-10-18 分组与聚合函数(6)想知道渣男有多坏,疯狂使用GroupBy 
select
	usr_id,
mch_nm,
sum(trx_amt) as trx_amt,
count(1) as trx_cnt,
min(trx_time) as first_time
from
	cmb_usr_trx_rcd
where
	usr_id = '5201314520'
and trx_amt >= 288
group by
	usr_id, mch_nm 
order by
	trx_cnt desc
2025-10-18 分组与聚合函数(5)想知道何时成瘾,用Max Or Min? 
select 
	usr_id,
min(trx_time) as first_time, 
mch_nm
from cmb_usr_trx_rcd
where
	mch_nm = "红玫瑰按摩保健休闲"
and usr_id = '5201314520'
2025-10-18 分组与聚合函数(5)五花八门的项目,其实都有固定套路(2) 
select
	trx_amt,
count(1) as total_trx_amt, 
count(distinct usr_id) as unique_usr_cnt,
count(1)/count(distinct usr_id) as avg_trx_per_user  
from
	cmb_usr_trx_rcd 
where
	mch_nm = '红玫瑰按摩保健休闲'
	and trx_amt in (288, 388, 588, 888, 1288) 
and trx_time >= '2023-01-01' and trx_time < '2024-07-01' 
group by
	trx_amt 
order by
	avg_trx_per_user desc
limit 5;
2025-10-18 分组与聚合函数(3)五花八门的项目,其实都有固定套路(1) 
SELECT
trx_amt as 消费金额, 
COUNT(1) as trx_cnt
FROM
cmb_usr_trx_rcd
WHERE 
mch_nm = '红玫瑰按摩保健休闲'
AND trx_time >= '2024-01-01' 
AND trx_time < '2024-08-01'
GROUP BY 
trx_amt
ORDER BY
trx_cnt desc
LIMIT 5;
2025-10-15 分组与聚合函数(2)擦边营收怎么样,聚合函数可看出 
SELECT
DATE(trx_time) as trx_date,
MIN(trx_amt) as min_trx_amt,
MAX(trx_amt) as max_trx_amt,
AVG(trx_amt) as avg_trx_amt,
SUM(trx_amt) as total_trx_amt
FROM
cmb_usr_trx_rcd
WHERE
mch_nm = '红玫瑰按摩保健休闲'
AND trx_time >= '2024-09-01' 
AND trx_time < '2024-10-01'
GROUP BY
DATE(trx_time)
ORDER BY
trx_date;
2025-10-15 分组与聚合函数(2)擦边营收怎么样,聚合函数可看出 
select
	date(trx_time) as trx_date,
	min(trx_amt) as min_trx_amt,
	max(trx_amt) as max_trx_amt,
avg(trx_amt) as avg_trx_amt,
	sum(trx_amt) as total_trx_amt
from
	cmb_usr_trx_rcd
where
	mch_nm = '红玫瑰按摩保健休闲'
and date(trx_time) between '2024-09-01' and '2024-09-30'
group by
	date(trx_time)
order by
	trx_date;
2025-10-15 分组与聚合函数(2)擦边营收怎么样,聚合函数可看出 
select
	date(trx_time) as trx_date,
	min(trx_amt) as min_trx_amt,
	max(trx_amt) as max_trx_amt,
avg(trx_amt) as avg_trx_amt,
	sum(trx_amt) as total_trx_amt
from
	cmb_usr_trx_rcd
where
	mch_nm = '红玫瑰按摩保健休闲' 
and date(trx_time) between '2024-09-01' and '2024-09-30' 
group by
	date(trx_time) 
order by
	trx_date;
2025-10-15 分组与聚合函数(1)Money全都花在哪,GroupBy来查一查 
select 
    mch_nm, 
    sum(trx_amt) as sum_trx_amt 
from 
    cmb_usr_trx_rcd 
where 
    year(trx_time) = 2024 
    and usr_id = '5201314520' 
group by
    mch_nm 
order by 
    sum_trx_amt desc
2025-10-15 条件过滤(3)Hour函数很给力,组合条件要仔细 
select
    *
from
    cmb_usr_trx_rcd
where
    date(trx_time) 
    between '2024-09-01' and '2024-09-30'
    and hour(trx_time) in (1, 2, 3, 4, 5, 22, 23, 0) 
    and usr_id = '5201314520' 
order by trx_time
2025-10-15 条件过滤(2)半夜活动有猫腻,Hour函数给给力 
SELECT * 
FROM cmb_usr_trx_rcd 
WHERE
usr_id = '5201314520'
AND trx_time >= '2024-09-01' 
AND trx_time < '2024-10-01'
AND HOUR(trx_time) >= 1 
AND HOUR(trx_time) < 6
ORDER BY trx_time;