使用SQL(Hive)中的collect_list函数来聚合用户序列

时间:2017-11-20 17:58:16

标签: sql function hadoop hive hiveql

我有一个数据集,代表个人使用的形式,他们必须输入值。

表格可以在“名字”之外的任何顺序完成,即第1步。

时间戳用于表示表单的完成顺序。

例如 - 用户12345678于2017-10-25 04:58:08开始填写表格并按顺序填写表格。

用户12345679在同一天的05:00:02开始填写表单,但只到第2步

用户12345680在05:05:06开始填写表格,但是分散注意力并且没有超出第1步,但在完成之前又返回了两次

用户12345681在06:31:12开始填写表单并从步骤1开始,然后随机填写表单。

IdDialPlan  Prefixe         Type     Country         Description
----------- --------------- -------- --------------- ------------------------------
471         1646            Fixed    United States   United States - New York
32284       331             Fixed    France          France - Paris City
32318       3317044         Fixed    France          France - Paris City
34658       216             Fixed    Tunisia         Tunisia
34659       21620           Mobile   Tunisia         Tunisia - Mobile - Tunisiana
35571       3906            Fixed    Italy           Italy - Rome

我编写的代码如下所示,并引用了一个预先存在的表,其中CASE WHEN用于在名为'events'的变量中为表单的每个步骤分配一个数字:

|    date  |     timestamp      | user_id  |  visit_id   |      event    |  event_seq  |
|--------------------------------------------------------------------------------------|
|2017-10-25| 2017-10-25 04:58:08| 12345678 |    1234     |   firstname   |       1     |
|2017-10-25| 2017-10-25 04:58:20| 12345678 |    1234     |   lastname    |       2     |
|2017-10-25| 2017-10-25 04:58:35| 12345678 |    1234     |      dob      |       3     |
|2017-10-25| 2017-10-25 04:58:40| 12345678 |    1234     |   postcode    |       4     |
|2017-10-25| 2017-10-25 04:58:40| 12345678 |    1234     |     email     |       5     |
|2017-10-25| 2017-10-25 05:00:02| 12345679 |    1235     |   firstname   |       1     |
|2017-10-25| 2017-10-25 05:00:10| 12345679 |    1235     |   lastname    |       2     |
|2017-10-25| 2017-10-25 05:05:06| 12345680 |    1236     |   firstname   |       1     |
|2017-10-25| 2017-10-25 05:30:24| 12345680 |    1236     |   firstname   |       1     |
|2017-10-25| 2017-10-25 06:17:24| 12345680 |    1236     |   firstname   |       1     |
|2017-10-25| 2017-10-25 06:20:30| 12345680 |    1236     |   lastname    |       2     |
|2017-10-25| 2017-10-25 06:20:45| 12345680 |    1236     |      dob      |       3     |
|2017-10-25| 2017-10-25 06:20:45| 12345680 |    1236     |   postcode    |       4     |
|2017-10-25| 2017-10-25 06:20:45| 12345680 |    1236     |     email     |       5     |
|2017-10-25| 2017-10-25 06:31:12| 12345681 |    1237     |   firstname   |       1     |
|2017-10-25| 2017-10-25 06:31:18| 12345681 |    1237     |     email     |       5     |
|2017-10-25| 2017-10-25 06:31:50| 12345681 |    1237     |   lastname    |       2     |
|2017-10-25| 2017-10-25 06:32:16| 12345681 |    1237     |   postcode    |       4     |
|2017-10-25| 2017-10-25 06:32:40| 12345681 |    1237     |      dob      |       3     |

正如预期的那样,这似乎是将用户12345680的所有交互列入一个字符串;

SELECT date
,time_stamp
,user_id
,visit_id
,collect_list(events) as event_seq
FROM my_table
GROUP BY date
,start_time
time_stamp
,user_id
,visit_id 

但是,我想看到的是每个行都被序列中的第一个事件标记,类似于下面的结果集,其中每个用户12345680的重新启动都发生在不同的行上。

|    date  |     timestamp      | user_id  |  visit_id   |  event_seq  |
|----------------------------------------------------------------------|
|2017-10-25| 2017-10-25 04:58:08| 12345678 |    1234     |  1,2,3,4,5  |
|2017-10-25| 2017-10-25 05:00:02| 12345679 |    1235     |     1,2     |
|2017-10-25| 2017-10-25 05:05:06| 12345680 |    1236     |1,1,1,2,3,4,5| 
|2017-10-25| 2017-10-25 06:31:12| 12345681 |    1237     |  1,5,2,4,3, | 

任何人都可以提供有关如何使用collect_list来达到我想要的结果集的任何指导吗?

2 个答案:

答案 0 :(得分:0)

使用LEAD窗口函数根据event_seq列生成新列next_event_seq。这将为您提供另一列,每行包含下一个事件seq。现在在where子句中使用它来比较event_seq.Anytime,event_seq小于next_event_seq,那么这意味着它是序列的一部分,需要进行分组。

select date,time_stamp,user_id,visit_id,collect_list(events) as event_seq
from
   ( select *,lead(event_seq,1) over (order by date,timestamp,user_id,event_seq) as next_event_seq from my_table ) T
where event_seq < T.next_event_seq
group by date,time_stamp,user_id,visit_id 

答案 1 :(得分:0)

从您的SQL中,您似乎在表中有一个名为start_time的列。假设您有一个,请参阅下面的解决方案

CREATE EXTERNAL TABLE my_table(
  event_date DATE,
  event_start_timestamp TIMESTAMP,
  event_timestamp TIMESTAMP,
  user_id STRING,
  visit_id STRING,
  event STRING,
  event_seq STRING)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' 
STORED AS TEXTFILE;

数据

2017-10-25| 2017-10-25 04:58:08| 2017-10-25 04:58:08| 12345678 |    1234     |   firstname   |       1     
2017-10-25| 2017-10-25 04:58:08| 2017-10-25 04:58:20| 12345678 |    1234     |   lastname    |       2     
2017-10-25| 2017-10-25 04:58:08| 2017-10-25 04:58:35| 12345678 |    1234     |      dob      |       3     
2017-10-25| 2017-10-25 04:58:08| 2017-10-25 04:58:40| 12345678 |    1234     |   postcode    |       4     
2017-10-25| 2017-10-25 04:58:08| 2017-10-25 04:58:40| 12345678 |    1234     |     email     |       5     
2017-10-25| 2017-10-25 05:00:02| 2017-10-25 05:00:02| 12345679 |    1235     |   firstname   |       1     
2017-10-25| 2017-10-25 05:00:02| 2017-10-25 05:00:10| 12345679 |    1235     |   lastname    |       2     
2017-10-25| 2017-10-25 05:05:06| 2017-10-25 05:05:06| 12345680 |    1236     |   firstname   |       1     
2017-10-25| 2017-10-25 05:30:24| 2017-10-25 05:30:24| 12345680 |    1236     |   firstname   |       1     
2017-10-25| 2017-10-25 06:17:24| 2017-10-25 06:17:24| 12345680 |    1236     |   firstname   |       1     
2017-10-25| 2017-10-25 06:17:24| 2017-10-25 06:20:30| 12345680 |    1236     |   lastname    |       2     
2017-10-25| 2017-10-25 06:17:24| 2017-10-25 06:20:45| 12345680 |    1236     |      dob      |       3     
2017-10-25| 2017-10-25 06:17:24| 2017-10-25 06:20:45| 12345680 |    1236     |   postcode    |       4     
2017-10-25| 2017-10-25 06:17:24| 2017-10-25 06:20:45| 12345680 |    1236     |     email     |       5     
2017-10-25| 2017-10-25 06:31:12| 2017-10-25 06:31:12| 12345681 |    1237     |   firstname   |       1     
2017-10-25| 2017-10-25 06:31:12| 2017-10-25 06:31:18| 12345681 |    1237     |     email     |       5     
2017-10-25| 2017-10-25 06:31:12| 2017-10-25 06:31:50| 12345681 |    1237     |   lastname    |       2     
2017-10-25| 2017-10-25 06:31:12| 2017-10-25 06:32:16| 12345681 |    1237     |   postcode    |       4     
2017-10-25| 2017-10-25 06:31:12| 2017-10-25 06:32:40| 12345681 |    1237     |      dob      |       3   

SQL查询

SELECT event_date,
       user_id, 
       visit_id, 
       event_start_timestamp, 
       collect_list(event_seq)
  FROM (SELECT event_date, 
               event_start_timestamp, 
               event_timestamp, 
               user_id, 
               visit_id, 
               event_seq 
          FROM my_table 
          SORT BY user_id, visit_id, event_start_timestamp, event_timestamp ASC) v
 GROUP BY event_date, user_id, visit_id, event_start_timestamp ;

<强>输出

2017-10-25   12345678       1234        2017-10-25 04:58:08 ["       1     ","       2     ","       3     ","       4     ","       5     "]
2017-10-25   12345679       1235        2017-10-25 05:00:02 ["       1     ","       2     "]
2017-10-25   12345680       1236        2017-10-25 05:05:06 ["       1     "]
2017-10-25   12345680       1236        2017-10-25 05:30:24 ["       1     "]
2017-10-25   12345680       1236        2017-10-25 06:17:24 ["       1     ","       2     ","       3     ","       4     ","       5     "]
2017-10-25   12345681       1237        2017-10-25 06:31:12 ["       1     ","       5     ","       2     ","       4     ","       3     "]

如果有效,请告诉我们!

请不要使用列名作为DATE,TIMESTAMP等,它们是保留字:)