Oracle SQL:不规则时间戳之间的计数

罗纳德

抱歉,如果您以前在这里曾问过这个问题,但我似乎找不到。我一直在寻找每小时的总和,但是我的问题是关于另一列中定义的时间戳之间的SUM和COUNT。

我有一个表叫incoming_orders:它显示了预期的目标,并传入订单的时间戳。

我还有第二张表Scheduled_output:它显示每个目的地的每个计划输出时刻。

我有第三个表称为Outgoing_orders:它显示了实际的目的地以及发出订单的时间戳。

因此,数据可能是:

--Incoming_orders:
Destination  Timestamp
ROUTE B      14/03/2018 7:48:00 
ROUTE A      14/03/2018 7:58:00
ROUTE A      14/03/2018 12:48:00
ROUTE C      14/03/2018 13:28:00

--Scheduled_Output
ROUTE A      14/03/2018 8:00:00
ROUTE A      14/03/2018 11:00:00
ROUTE A      14/03/2018 12:00:00
ROUTE A      14/03/2018 17:00:00    
ROUTE B      14/03/2018 8:00:00
ROUTE B      14/03/2018 10:00:00
ROUTE B      14/03/2018 12:00:00
ROUTE C      14/03/2018 07:00:00 
ROUTE C      14/03/2018 14:00:00 
ROUTE C      14/03/2018 17:00:00 

--Which would lead to the following outgoing_orders:
ROUTE A      14/03/2018 8:00:00
ROUTE B      14/03/2018 8:00:00 
ROUTE C      14/03/2018 14:00:00
ROUTE A      14/03/2018 17:00:00

现在,我要检查路由A的07:58传入顺序是否确实使其进入了路由A的08:00输出周期。我正在考虑创建一个像这样的表来显示它:

Destination output moment   expected_output actual_output   diff
Route A     8:00            1               1               0
Route A     11:00           0               0               0
Route A     12:00           0               0               0
Route A     17:00           1               1               0

但是问题是:如何计算Expected_output列?如何将12:48的路线A的接收订单分组到12:00-17:00组?它应该计算计划的输出时刻之间的所有订单,但是我不确定如何实现。

我能否将CEIL,FLOOR或ROUND设置为最接近schedule_output的值?还是可以通过行计数以某种方式在第n行和第n + 1行之间进行操作?还是有另一种更简单的方法?

鳄鱼

我认为以这种方式或多或少地确定计划输出的先前时间,获得时间间隔是最简单的:

SELECT destination,
       time_stamp,
       ( SELECT max( time_stamp ) 
         FROM SCHEDULED_OUTPUT t1
         WHERE t.destination = t1.destination
           AND t1.time_stamp < t.time_stamp
        ) as previous_time_stamp
FROM SCHEDULED_OUTPUT t
order by 1,2

或更紧凑的形式使用分析功能:

SELECT destination,
       time_stamp,
       lag( time_stamp ) over (partition by destination order by time_stamp )
       as previous_time_stamp
FROM SCHEDULED_OUTPUT t
order by 1,2

演示:http : //sqlfiddle.com/#!4/c7bc9/1

| DESTINATION |            TIME_STAMP |   PREVIOUS_TIME_STAMP |
|-------------|-----------------------|-----------------------|
|     ROUTE A | 2018-03-14 08:00:00.0 |                (null) |
|     ROUTE A | 2018-03-14 11:00:00.0 | 2018-03-14 08:00:00.0 |
|     ROUTE A | 2018-03-14 12:00:00.0 | 2018-03-14 11:00:00.0 |
|     ROUTE A | 2018-03-14 17:00:00.0 | 2018-03-14 12:00:00.0 |
|     ROUTE B | 2018-03-14 08:00:00.0 |                (null) |
|     ROUTE B | 2018-03-14 10:00:00.0 | 2018-03-14 08:00:00.0 |
|     ROUTE B | 2018-03-14 12:00:00.0 | 2018-03-14 10:00:00.0 |
|     ROUTE C | 2018-03-14 07:00:00.0 |                (null) |
|     ROUTE C | 2018-03-14 14:00:00.0 | 2018-03-14 07:00:00.0 |
|     ROUTE C | 2018-03-14 17:00:00.0 | 2018-03-14 14:00:00.0 |

接下来,可以将上述结果集加入INCOMING_ORDERS以便计算计数:

SELECT x.destination, x.time_stamp as output_moment,
       count( y.DESTINATION ) as expected_output 
FROM (
   SELECT destination,
          time_stamp,
          lag( time_stamp ) over (partition by destination order by time_stamp )
          as previous_time_stamp
   FROM SCHEDULED_OUTPUT t
) x
LEFT JOIN INCOMING_ORDERS y
ON x.DESTINATION =  y.DESTINATION
AND y.TIME_STAMP <= x.TIME_STAMP
AND ( y.TIME_STAMP > x.previous_time_stamp OR x.previous_time_stamp IS NULL )
GROUP BY x.destination, x.time_stamp
ORDER BY 1,2

演示:http : //sqlfiddle.com/#!4/c3958/2

| DESTINATION |         OUTPUT_MOMENT | EXPECTED_OUTPUT |
|-------------|-----------------------|-----------------|
|     ROUTE A | 2018-03-14 08:00:00.0 |               1 |
|     ROUTE A | 2018-03-14 11:00:00.0 |               0 |
|     ROUTE A | 2018-03-14 12:00:00.0 |               0 |
|     ROUTE A | 2018-03-14 17:00:00.0 |               1 |
|     ROUTE B | 2018-03-14 08:00:00.0 |               1 |
|     ROUTE B | 2018-03-14 10:00:00.0 |               0 |
|     ROUTE B | 2018-03-14 12:00:00.0 |               0 |
|     ROUTE C | 2018-03-14 07:00:00.0 |               0 |
|     ROUTE C | 2018-03-14 14:00:00.0 |               1 |
|     ROUTE C | 2018-03-14 17:00:00.0 |               0 |

这种情况:

AND y.TIME_STAMP <= x.TIME_STAMP
AND ( y.TIME_STAMP > x.previous_time_stamp OR x.previous_time_stamp IS NULL )

告诉您,如果某个订单在8:00:00下达,而该路线在同一时间8:00:00开始,则该订单仍会分配给该“开始”路线。如果这是不可能的(也就是说,当订单被放置在下一条路线的确切时间时,则必须将其分配给下一条路线),然后将条件更改为:

AND y.TIME_STAMP < x.TIME_STAMP
AND ( y.TIME_STAMP >= x.previous_time_stamp OR x.previous_time_stamp IS NULL )

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