Hive-SQL查询连续活跃登录用户思路详解

连续活跃登陆的用户指至少连续2天都活跃登录的用户

解决类似场景的问题

创建数据

create table test5active(
dt string,
user_id string,
age int)
row format delimited fields terminated by ',';

insert into table test5active values 
('2019-02-11','user_1',23),('2019-02-11','user_2',19),
('2019-02-11','user_3',39),('2019-02-11','user_1',23),
('2019-02-11','user_3',39),('2019-02-11','user_1',23),
('2019-02-12','user_2',19),('2019-02-13','user_1',23),
('2019-02-15','user_2',19),('2019-02-16','user_2',19);

思路一:

1、因为每天用户登录次数可能不止一次，所以需要先将用户每天的登录日期去重。

2、再用row_number() over(partition by _ order by _)函数将用户id分组，按照登陆时间进行排序。

3、计算登录日期减去第二步骤得到的结果值，用户连续登陆情况下，每次相减的结果都相同。

4、按照id和日期分组并求和，筛选大于等于2的即为连续活跃登陆的用户。

第一步：用户登录日期去重

select distinct dt,user_id from test5active;

第二步：用row_number() over()函数计数

select 
t1.user_id,t1.dt,
row_number() over(partition by t1.user_id order by t1.dt) day_rank
from 
(
select distinct dt,user_id from test5active
)t1;

第三步：日期减去计数值得到结果

select
t2.user_id,t2.dt,date_sub(t2.dt,t2.day_rank) as dis
from 
(
select 
t1.user_id,t1.dt,
row_number() over(partition by t1.user_id order by t1.dt) day_rank
from 
(
select distinct dt,user_id from test5active
)t1)t2;

第四步：根据id和结果分组并计算总和，大于等于2的即为连续登陆的用户，得到 用户id，开始日期，结束日期，连续登录天数

select 
t3.user_id,min(t3.dt),max(t3.dt),count(1)
from
(
select
t2.user_id,t2.dt,date_sub(t2.dt,t2.day_rank) as dis
from 
(
select 
t1.user_id,t1.dt,
row_number() over(partition by t1.user_id order by t1.dt) day_rank
from 
(
select distinct dt,user_id from test5active
)t1
)t2
)t3 group by t3.user_id,t3.dis having count(1)>1;

用户id 开始日期 结束日期 连续登录天数

最后：连续登陆的用户

select distinct t4.user_id
from
(
select 
t3.user_id,min(t3.dt),max(t3.dt),count(1)
from
(
select
t2.user_id,t2.dt,date_sub(t2.dt,t2.day_rank) as dis
from 
(
select 
t1.user_id,t1.dt,
row_number() over(partition by t1.user_id order by t1.dt) day_rank
from 
(
select distinct dt,user_id from test5active
)t1
)t2
)t3 group by t3.user_id,t3.dis having count(1)>1
)t4;

思路二：使用lag(向后)或者lead(向前)

select user_id,t1.dt,lead(t1.dt) over(partition by user_id order by t1.dt) as last_date_idfrom (select distinct dt,user_id from test5active)t1;

selectdistinct t2.user_idfrom (select user_id,t1.dt,lead(t1.dt) over(partition by user_id order by t1.dt) as last_date_idfrom (select distinct dt,user_id from test5active)t1)t2 where datediff(last_date_id,t2.dt)=1;

参考：

2020年大厂面试题-数据仓库篇

sql 查询连续登陆7天以上的用户

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