前言
根據對用戶ID、訪問日期、訪問次數的若干條數據,分析得出每個用戶的累計訪問次數,涉及字符串替換、時間函數、開窗、求和等技術。
1. 假如有用戶訪問數據(用戶ID,訪問日期,訪問次數)
userId |
visitDate |
visitCount |
u01 |
2017/1/21 |
5 |
u02 |
2017/1/23 |
6 |
u03 |
2017/1/22 |
8 |
u04 |
2017/1/20 |
3 |
u01 |
2017/1/23 |
6 |
u01 |
2017/2/21 |
8 |
u02 |
2017/1/23 |
6 |
u01 |
2017/2/22 |
4 |
2. 希望得到每個月用戶的訪問累計次數
用戶id |
月份 |
小計 |
累積 |
u01 |
2017-01 |
11 |
11 |
u01 |
2017-02 |
12 |
23 |
u02 |
2017-01 |
12 |
12 |
u03 |
2017-01 |
8 |
8 |
u04 |
2017-01 |
3 |
3 |
3. 啟動hive,選庫,建表
create table action
(userId string,
visitDate string,
visitCount int)
row format delimited fields terminated by "\t";
4. 將數據導入表
load data local inpath '/data/action.dat' into table action;
5. 轉換日期字符串為標准格式
select
userId,
date_format(regexp_replace(visitDate,'/','-'),'yyyy-MM') mn,
visitCount
from
action;
userid |
mn |
visitcount |
u01 |
2017-01 |
5 |
u02 |
2017-01 |
6 |
u03 |
2017-01 |
8 |
u04 |
2017-01 |
3 |
u01 |
2017-01 |
6 |
u01 |
2017-02 |
8 |
u02 |
2017-01 |
6 |
u01 |
2017-02 |
4 |
6. 計算每人單月訪問量
select
userId,
mn,
sum(visitCount) mn_count
from
(select
userId,
date_format(regexp_replace(visitDate,'/','-'),'yyyy-MM') mn,
visitCount
from
action) as t1
group by
userId,mn;
userid |
mn |
mn_count |
u01 |
2017-01 |
11 |
u01 |
2017-02 |
12 |
u02 |
2017-01 |
12 |
u03 |
2017-01 |
8 |
u04 |
2017-01 |
3 |
7. 按月累計訪問量
select
userId,
mn,
mn_count,
sum(mn_count) over(partition by userId order by mn)
from (select
userId,
mn,
sum(visitCount) mn_count
from
(select
userId,
date_format(regexp_replace(visitDate,'/','-'),'yyyy-MM') mn,
visitCount
from
action) as t1
group by
userId,mn) as t2;
userid |
mn |
mn_count |
sum_window_0 |
u01 |
2017-01 |
11 |
11 |
u01 |
2017-02 |
12 |
23 |
u02 |
2017-01 |
12 |
12 |
u03 |
2017-01 |
8 |
8 |
u04 |
2017-01 |
3 |
3 |
The End