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Hive-SQL查询连续活跃登录用户思路详解

这篇文章主要介绍了Hive-SQL查询连续活跃登陆的用户,活跃用户这里是指连续2天都活跃登录的用户，本文给大家分享解决思路及sql语句，对大家的学习或工作具有一定的参考借鉴价值，需要的朋友可以参考下

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);

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

1	`select` `DISTINCT` `dt,user_id` `from` `test5active;`

第二步：用row_number() over()函数计数

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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;

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select

user_id,t1.dt,

lead(t1.dt) over(partition by user_id order by t1.dt) as last_date_id

from

(

select DISTINCT dt,user_id from test5active

)t1;

select

distinct t2.user_id

from

(

select

user_id,t1.dt,

lead(t1.dt) over(partition by user_id order by t1.dt) as last_date_id

from

(

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

到此这篇关于Hive-SQL查询连续活跃登陆的用户的文章就介绍到这了

原文链接：https://www.cnblogs.com/yangms/p/14179403.html