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勋章 ①金银铜:在竞赛中获得第一二三名;②好习惯:自然月10天提交;③里程碑:解决1/2/5/10/20/50/100/200题;④每周打卡挑战:完成每周5题,每年1月1日清零。

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评论笔记

评论日期 题目名称 评论内容 站长评论
2024-11-03 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 toal_trx_amt,
        count(1) as trx_cnt,
        min(trx_time) as first_time
from 
	cmb_usr_trx_rcd
where
	usr_id='5201314520'
        and total_trx_amt>=288
group by
	usr_id,mch_nm
order by
	trx_cnt desc
请问,我把sum(trx_amt)另起一个名字为什么就不对了呢?
我现在有两种验证方式,第一种,转化成DataFrame,要求两个df一字不差,包括列名和值;第二种,直接比较输出结果,不care列名。理论上两种都可以。
但出于书写规范考虑,宁可牺牲一定用户体验(妈的找不到差别老子不写了,什么破网站),也希望理解哈!
2024-10-31 条件过滤(3)Hour函数很给力,组合条件要仔细 
题解or hour(trx_time) in (22,23,0,1,2,3,4,5)这里应该用and吧?
是啊,两种解法里都有这个坑。

提交记录

提交日期 题目名称 提交代码
2024-12-18 被收藏次数最多的商品 
select
		gd.gd_id,
gd.gd_nm,
count(fav.mch_id) as fav_count
from
		gd_inf gd 
join
		xhs_fav_rcd fav
on 
		gd.gd_id=fav.mch_id
 group by
 		gd.gd_id
 order by 
 		fav_count desc
limit 1
2024-12-18 每年在深交所上市的银行有多少家 
select 
    year(list_date) as Y 
    ,count(distinct ts_code) as cnt
from 
    stock_info
where 
    right(ts_code,2) = 'SZ'
    and industry = '银行'
group by 
    year(list_date)
2024-12-18 一线城市历年平均气温 
select year(dt) as Y
    ,cast(avg(case when city='beijing' then tmp_h else null end) as decimal(4,2)) as beijing
    ,cast(avg(case when city='shanghai' then tmp_h else null end) as decimal(4,2)) as shanghai
    ,cast(avg(case when city='shenzhen' then tmp_h else null end) as decimal(4,2)) as shenzhen
,cast(avg(case when city='guangzhou' then tmp_h else null end) as decimal(4,2)) as guangzhou
from
    weather_rcd_china
where 
    year(dt) between 2011 and 2022
group by 
    year(dt)
2024-12-18 一线城市历年平均气温 
select year(dt) as Y
    ,cast(avg(case when city='beijing' then tmp_h else 0 end) as decimal(4,2)) as beijing
    ,cast(avg(case when city='shanghai' then tmp_h else 0 end) as decimal(4,2)) as shanghai
    ,cast(avg(case when city='shenzhen' then tmp_h else 0 end) as decimal(4,2)) as shenzhen
,cast(avg(case when city='guangzhou' then tmp_h else 0 end) as decimal(4,2)) as guangzhou
from
    weather_rcd_china
where 
    year(dt) between 2011 and 2022
group by 
    year(dt)
2024-12-18 一线城市历年平均气温 
select year(dt) as Y
    ,cast(avg(case when city='beijing' then tmp_h else null end) as decimal(4,2)) as beijing
    ,cast(avg(case when city='shanghai' then tmp_h else null end) as decimal(4,2)) as shanghai
    ,cast(avg(case when city='shenzhen' then tmp_h else 0 end) as decimal(4,2)) as shenzhen
from
    weather_rcd_china
where 
    year(dt) between 2011 and 2022
group by 
    year(dt)
2024-11-25 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(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
2024-11-25 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(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
2024-11-25 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=668 then '4.Doi'
 		 when trx_amt=888 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 ser_typ;
2024-11-25 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=668 then '4.Doi'
 		 when trx_amt=888 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 ser_typ;
2024-11-03 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'
2024-11-01 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(1) as trx_cnt
from
		cmb_usr_trx_rcd
where 
		mch_nm='红玫瑰按摩保健休闲'
and year(trx_time)=2024
and month(trx_time) in(1,2,3,4,5,6,7)
group by 
		trx_amt
order by 
		trx_cnt desc
limit 5
2024-11-01 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 trx_date
order by trx_date
2024-11-01 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
2024-10-31 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)>= 22)
		and
		(hour(trx_time) between 0 and 5)
	)
order by trx_time
2024-10-31 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)>=22)
		and
		(hour(trx_time) between 0 and 5)
	)
order by trx_time
2024-10-31 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)>=22)
		and
		(hour(trx_time) between 0 and 5)
	)
order by trx_time
2024-10-31 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'
or hour(trx_time) in (22,23,0,1,2,3,4)
order by trx_time
2024-10-31 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) in (22,23,0,1,2,3,4)
order by trx_time
2024-10-31 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 date(trx_time) between '2024-09-01'and '2024-09-30'
and hour(trx_time) between 1 and 5
order by 
		trx_time
2024-10-31 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
		date(trx_time) 
between '2024-09-01' and '2024-09-30'
		and usr_id = '5201314520'
order by 
		trx_time