Question

我正在寻找如何根据用户和日期编写计数查询。例如，如果我有以下数据：

Agent      | Date_1
Joe Bloggs | 06-jun-16 10:35:00
Joe Bloggs | 06-jun-16 10:36:00
Joe Bloggs | 06-jun-16 10:46:00
Joe Bloggs | 07-jun-16 09:36:00

我能够写下以下内容：

我目前的查询如下：

SELECT
    AGENT
   ,DATE_1 
   ,ROW_NUMBER() OVER (PARTITION BY AGENT ORDER BY DATE_1) AS COUNT_1    
FROM
    TABLE_1 
    ;

这会根据我的数据为每一行提供一个顺序计数。但是我希望06-jun-16的数量只有1，因为用户和日期一样，但我不知道怎么能得到它。我想要的是：

Agent Name | Date_1     | Count_1
Joe Bloggs |  06-jun-16 | 1
Joe Bloggs |  07-jun-16 | 1

以下是我的表的创建表和插入语句：

CREATE TABLE TABLE_1   
   (      
"AGENT" VARCHAR2(12 BYTE),   
"DATE_1" DATE  
   );

插入声明

Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 09:47:23','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:07:47','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:16:48','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:32:31','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:33:35','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 10:49:20','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 11:14:17','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 14:08:13','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));  
Insert into TABLE_1 (AGENT,DATE_1) values ('Joe Bloggs',to_date('07-JUN-16 15:31:05','DD-MON-RR HH24:MI:SS'));

根据以上数据，我希望将所有大于30分钟的触摸统计为单个计数，任何介于30分钟之间的事物都不会增加计数。

根据我的数据，第一次触摸是09:47:23所以从1开始，第二次独特的触摸是10:07:47（基于下一个日期期间），大约20分钟后因此计数保持在1，现在看第三个不同的时间，这是在10:16:48，比之前的9分钟，所以计数仍然保持为1.

所以实际上它是基于前一个时间戳的滚动30分钟计数，如果其低于30分钟的计数与之前的时间相同，如果其更大的计数增加1 ...

希望这更有意义。

Answer 1

这将为您提供您指定的结果，每个代理和日期组合的三十分钟窗口数。

select agent
       , trunc(date_1) as date_1
       , sum(intvl)+1 as count_1
from (
    SELECT 
        AGENT
       , DATE_1
       , case when date_1 >= lag(date_1) over (partition by agent order by date_1)
             + to_dsinterval('0 0:30:0') 
          then 1 else 0 end as intvl
    FROM
        TABLE_1
   )
group by agent
       , trunc(date_1)
order by 1, 2
/

LAG（）分析函数允许我们将DATE_1的当前值与前一个值进行比较，后者使用30分钟的INTERVAL（）进行扩充，以测试所需的窗口。截断从DATE_1列中删除时间元素，每天给出一个结果。

Answer 2

简单。只需编写如下的外部选择语句：

select a.* 
    from 
    (SELECT
        AGENT
       ,DATE_1 
       ,ROW_NUMBER() OVER (PARTITION BY AGENT ORDER BY DATE_1) AS COUNT_1    
    FROM
        PROJECT ) a
    where a.COUNT_1  = 1    ;

如何根据oracle sql

2 个答案: