select
usr_id,
mch_nm,
sum(trx_amt) trx_amt,
count(trx_amt) trx_cnt,
min(trx_time) 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
select
trx_amt,
count(trx_amt) total_trx_cnt,
count(distinct usr_id) unique_usr_cnt,
count(trx_amt)/count(distinct usr_id) avg_trx_per_user
from cmb_usr_trx_rcd
where date(trx_time) between '2023-01-01' and '2024-06-30'
and mch_nm = '红玫瑰按摩保健休闲'
group by 1
order by avg_trx_per_user desc
limit 5
select
trx_amt,
count(trx_amt) as trx_cnt
from cmb_usr_trx_rcd
where year(trx_time) = '2024'
and month(trx_time) between '1' and '7'
and mch_nm = '红玫瑰按摩保健休闲'
group by trx_amt
order by trx_cnt desc
limit 5
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 year(trx_time) = '2024'
and month(trx_time) = '9'
and mch_nm = '红玫瑰按摩保健休闲'
group by date(trx_time)
order by trx_date
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;
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 usr_id = '5201314520'
and year(trx_time) = '2024'
and month(trx_time) = '9'
and mch_nm = '红玫瑰按摩保健休闲'
group by 1
order by trx_date
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 usr_id = '5201314520'
and year(trx_time) = '2024'
and month(trx_time) = '9'
group by 1
order by trx_date
select
mch_nm,
sum(trx_amt) sum_trx_amt
from cmb_usr_trx_rcd
where year(trx_time) = '2024'
and usr_id = '5201314520'
group by 1
order by sum_trx_amt desc
select *
from cmb_usr_trx_rcd
where date(trx_time) between '2024-09-01' and '2024-09-30'
and (hour(trx_time) >= '22' or hour(trx_time) between '0' and '5')
and usr_id = '5201314520'
order by trx_time
select *
from cmb_usr_trx_rcd
where date(trx_time) between '2024-09-01' and '2024-09-30'
and usr_id = '5201314520'
and hour(trx_time) between '1' and '5'
order by trx_time
with data1 as
(
select
distinct usr_id,
date(login_time) login_date
from user_login_log
where datediff(current_date, date(login_time)) <=30
),
data2 as
(
select
t1.usr_id
,t1.login_date as dt
,t2.login_date as dt1
from data1 t1
left join data1 t2
on t1.usr_id = t2.usr_id
and datediff(t2.login_date, t1.login_date) = 1
)
select
dt as login_date,
concat(round(avg(dt1 is not null)*100, 2), '%') as T1_retention_rate
from data2
group by dt
order by dt