网站浏览日志分析（5）漏斗模型分析针对pageviews

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#网站浏览日志分析（5）漏斗模型分析针对pageviews

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本文介绍了如何使用Hive对网站浏览日志进行漏斗模型分析，包括计算每个步骤的访问人数、各步骤相对起点人数的比例以及漏出率。通过级联查询和自连接来获取数据，最后汇总两种关键指标，帮助理解用户行为转化过程。

网站浏览日志分析（5）漏斗模型分析

load data inpath’/hivedata/pageview/part-r-00000’ INTO TABLE ods_click_pageviews PARTITION(datestr=‘20130918’);

load data inpath’/hivedata/click-part-r-00000’ INTO TABLE ods_click_pageviews PARTITION(datestr=‘20130920’);

SELECT *FROM ods_click_pageviews;

1.需求：查询每一个步骤的总访问人数【这里将request字段中的 item/category/order/index 作为四步计算每一步有多少人访问】

【疑问：如果步骤非常多我们要一个一个手写 step1/2/3/4/5…吗自己想到可以动态+1 比如时间】

create table dw_oute_numbs as
select ‘step1’ as step,count(distinct remote_addr) as numbs from ods_click_pageviews where datestr=‘20130920’ and request like ‘/item%’
union
select ‘step2’ as step,count(distinct remote_addr) as numbs from ods_click_pageviews where datestr=‘20130920’ and request like ‘/category%’
union
select ‘step3’ as step,count(distinct remote_addr) as numbs from ods_click_pageviews where datestr=‘20130920’ and request like ‘/order%’
union
select ‘step4’ as step,count(distinct remote_addr) as numbs from ods_click_pageviews where datestr=‘20130920’ and request like ‘/index%’;

SELECT *FROM dw_oute_numbs;

在这里插入图片描述
2.需求：查询每一步骤相对于路径起点人数的比例【这里需要用到级联查询，就是自己join 自己】

select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr;

在这里插入图片描述
select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr WHERE rn.step=‘step1’;

在这里插入图片描述
得到上图数据计算需求很随意喽

select tmp.rrstep,tmp.rrnumbs/tmp.rnnumbs as ratio
from
(
select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr) tmp
where tmp.rnstep=‘step1’;

在这里插入图片描述
3.需求：查询每一步骤相对于上一步骤的漏出率【首先通过自join表过滤出每一步跟上一步的记录】
select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr;
在这里插入图片描述

select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr where cast(substr(rn.step,5,1) as int)=cast(substr(rr.step,5,1) as int)-1;
在这里插入图片描述
得到上如数据就非常简单了【通过普通的计算即可】
select tmp.rrstep as step,tmp.rrnumbs/tmp.rnnumbs as leakage_rate
from
(
select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr) tmp
where cast(substr(tmp.rnstep,5,1) as int)=cast(substr(tmp.rrstep,5,1) as int)-1;

在这里插入图片描述
4.汇总以上（2和3需求）俩种指标

select abs.step,abs.numbs,abs.rate as abs_ratio,rel.rate as leakage_rate
from
(
select tmp.rnstep as step,tmp.rnnumbs as numbs,tmp.rnnumbs/tmp.rrnumbs as rate
from
(
select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr) tmp
where tmp.rrstep=‘step1’
) abs
left outer join
(
select tmp.rrstep as step,tmp.rrnumbs/tmp.rnnumbs as rate
from
(
select rn.step as rnstep,rn.numbs as rnnumbs,rr.step as rrstep,rr.numbs as rrnumbs from dw_oute_numbs rn
inner join
dw_oute_numbs rr) tmp
where cast(substr(tmp.rnstep,5,1) as int)=cast(substr(tmp.rrstep,5,1) as int)-1
) rel
on abs.step=rel.step;