关于hive:Hive基础知识之顾客访问店铺数据分析UVTop3

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user_id	shop
u1	a
u2	b
u1	b
u1	a
u3	c
u4	b
u1	a
u2	c
u5	b
u4	b
u6	c
u2	c
u1	b
u2	a
u2	a
u3	a
u5	a
u5	a
u5	a

create table visit(user_id string,shop string) row format delimited fields terminated by '\t';
load data local inpath '/data/visit.dat' into table visit;

select shop , count(distinct user_id) as uv from visit group by shop;

shop	UV
shop	uv
a	4
b	4
c	3

select shop, user_id, count(*) as ct from visit group by shop, user_id;

shop	user_id	ct
a	u1	3
b	u1	2
a	u2	2
b	u2	1
c	u2	2
a	u3	1
c	u3	1
b	u4	2
a	u5	3
b	u5	1
c	u6	1

select shop,user_id,ct,rank() over(partition by shop order by ct) rk
from (select shop, user_id, count(*) as ct from visit group by shop, user_id) as t1;

shop	user_id	ct	rk
a	u3	1	1
a	u2	2	2
a	u5	3	3
a	u1	3	3
b	u5	1	1
b	u2	1	1
b	u4	2	3
b	u1	2	3
c	u6	1	1
c	u3	1	1
c	u2	2	3

select shop, user_id, ct from
(select shop,user_id,ct,rank() over(partition by shop order by ct) rk
from (select shop, user_id, count(*) as ct from visit group by shop, user_id) as t1) as t2 where rk <= 3;