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提交日期 题目名称 提交代码
2025-02-18 子查询(1)玩的最嗨那天在做甚?要用Where子查询 
select * from cmb_usr_trx_rcd 
where usr_id=5201314520
and year(trx_time)="2024"
order by trx_amt desc
limit 1;
2025-02-18 字符串与通配符(2)好多关键词做规则,可以使用rlike 
select
    case 
        when mch_nm like '%按摩保健休闲%' then '按摩保健休闲'
        when lower(mch_nm) rlike '.*(按摩|保健|休闲|spa|养生|会所).*' then '按摩、保健、休闲、养生、SPA、会所'
    end as reg_rules,
    count(distinct mch_nm) as mch_cnt
from
    cmb_usr_trx_rcd
where mch_nm like '%按摩保健休闲%'
   or lower(mch_nm) rlike '.*(按摩|保健|休闲|spa|养生|会所).*'
group by reg_rules
order by mch_cnt desc;
2025-02-18 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%"
2025-02-18 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=388 then '2.WithMimi'
when trx_amt=588 then '3.BlowJobbie'
when trx_amt=888 then '4.Doi'
when trx_amt=1288 then '5.DoubleFly'
else '6.other'
end as ser_typ,
count(trx_amt) 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 ser_typ;
2025-02-18 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(trx_time) 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;
2025-02-18 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(trx_time) 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;
2025-02-18 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 usr_id=5201314520 and mch_nm='红玫瑰按摩保健休闲'
 ;
2025-02-18 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(trx_amt) as total_trx_cnt,
count(distinct(usr_id)) as unique_usr_cnt,
count(trx_amt)/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 date(trx_time) between "2023-01-01" and "2024-06-30"
group by trx_amt
order by avg_trx_per_user desc
limit 5;
2025-02-18 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, count(trx_time) as trx_cnt
from cmb_usr_trx_rcd
where mch_nm="红玫瑰按摩保健休闲"
and date(trx_time) between "2024-01-01" and "2024-07-31"
group by trx_amt
order by count(trx_time) desc
limit 5
;
2025-02-18 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, count(trx_time) as trx_cnt
from cmb_usr_trx_rcd
where mch_nm="红玫瑰按摩保健休闲"
group by trx_amt
order by count(trx_time) desc
limit 5
;
2025-02-18 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,
	max(trx_amt) as max_trx_amt,
min(trx_amt) as min_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;
2025-02-18 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 usr_id=5201314520
and year(trx_time)="2024"
group by mch_nm
order by sum_trx_amt desc;
2025-02-18 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 usr_id=5201314520
and year(trx_time)="2024"
group by mch_nm
order by sum_trx_amt desc
limit 5;
2025-02-18 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 usr_id=5201314520
and date(trx_time) between "2024-09-01" and "2024-09-30"
AND (HOUR(trx_time) BETWEEN 22 AND 23 OR HOUR(trx_time) BETWEEN 0 AND 5)
order by trx_time;
2025-02-18 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 BETWEEN '2024-09-01 00:00:00' AND '2024-09-30 23:59:59'
AND TIME(trx_time) BETWEEN '01:00:00' AND '06:00:00'
order by trx_time;
2025-02-18 条件过滤(1)异地男友有异常,数分闺蜜来帮忙 
select * from cmb_usr_trx_rcd
where usr_id="5201314520"
and trx_time between "2024-09-01 00:00:00" and "2024-09-30 23:59:59"
order by trx_time;
2025-02-18 条件过滤(1)异地男友有异常,数分闺蜜来帮忙 
select * from cmb_usr_trx_rcd
where trx_time between "2024-09-01 00:00:00" and "2024-09-30 23:59:59"
order by trx_time
limit 5;
2025-02-18 条件过滤(1)异地男友有异常,数分闺蜜来帮忙 
select * from cmb_usr_trx_rcd
where trx_time between "2024-09-01 00:00:00" and "2024-09-30 23:59:59"
order by trx_time