Question

我不知道该怎么命名这个问题。如果标题不符合问题，请原谅标题。我有生产和计划外维护事件的数据，按设备订购，然后是Moment。请参阅下面的表格（请参阅问题底部的文字版本）：

应根据指示的颜色对数据进行分组，并将“持续时间”列相加。请参阅下面的结果。基本上，计划外的维护时间应与生产时间相加，直到出现新的计划外维护事件（因此进行分组）。

我已经能够通过使用非常复杂的RANK（）和连接过程获得一些东西，但是花费一个小时来完成500,000条记录非常慢。我需要能在5分钟内完成工作的东西。请注意，我不能使用超前或滞后功能，因为需要执行查询的服务器使用的是旧版本的SQL（SQL Server 2008）

结果应该是这样的：

任何帮助将不胜感激。

可以在此处下载包含大量数据的表创建语句：

https://drive.google.com/file/d/0B8xKLs3osIfcVGRCVGJMQnBYWXc/view?usp=sharing

StartDate = Moment

忽略EndDate列

+---------------------+-----------+-----------+-------------------------+
| Moment              | Duration  | Equipment | DowntimeType            |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 08:34:03 | 2.734444  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 11:39:26 | 0.015833  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 11:41:23 | 0.4925    | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 12:10:56 | 0.679444  | DT46      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 12:51:42 | 0.628888  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 15:23:48 | 0.650833  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 16:05:19 | 3.341111  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-14 19:44:01 | 7.292777  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-15 03:18:15 | 5.954722  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-15 09:50:54 | 3.899722  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-15 19:33:11 | 1.760277  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-15 21:18:48 | 0.637222  | DT46      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-15 21:57:02 | 3.109722  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-16 01:14:15 | 4.128611  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-16 18:33:01 | 0.004166  | DT46      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-16 19:19:38 | 2.580833  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-17 01:23:56 | 0.111388  | DT46      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-17 01:30:37 | 0.293333  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-17 01:48:13 | 0.99      | DT46      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-17 03:26:10 | 3.805833  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2014-07-17 07:14:49 | 1.435833  | DT46      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-28 01:18:43 | 1.283611  | DT63      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-28 02:47:50 | 0.224166  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-28 03:17:09 | 7.085277  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-28 11:12:14 | 2.519722  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-28 18:36:54 | 3.239166  | DT63      | Unscheduled Maintenance |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-29 03:20:04 | 1.735833  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-29 05:07:52 | 8.631944  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-29 23:53:44 | 6.074444  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-11-30 23:04:51 | 14.720555 | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-12-02 01:06:50 | 0.001111  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+
| 2015-12-02 01:07:28 | 4.540277  | DT63      | Production              |
+---------------------+-----------+-----------+-------------------------+

Answer 1

尝试此分组

select min(Moment), Equipment, sum(duration)
from (
  select *,
    case DowntimeType when 'Unscheduled Maintenance' 
      then row_number() over(partition by Equipment, DowntimeType order by Moment) 
      else row_number() over(partition by Equipment order by Moment) - row_number() over(partition by Equipment, DowntimeType order by Moment) end r
   from myTable
) t
where r > 0 -- must start with 'Unscheduled Maintenance' 
group by Equipment, r
order by Equipment, r

Answer 2

SELECT q1.moment, q1.equipment, sum(q.duration)+q1.duration
  FROM 
        (Select moment, equipment, duration, 
                rownumber() over partition (order by moment asc) rn
          from yourtable
         where downtimetype = 'Unschedule Maintenance') q1, 
         ( Select moment, 
            rownumber() over partition (order by moment asc) rn
              from yourtable
             where downtimetype = 'Unschedule Maintenance') as q2,
             yourtable q
where q2.rn =q1.rn+1
 AND q.moment > q1.moment
 AND q.moment < q2.moment
 AND q.downtimetype ='Production'
 AND q.equipment =q1.equipment
Group by q1.moment, q1.equipment

UNION ALL
-- This is because I couldnt get the last group
Select q1.maxmoment, q.equipment, 
        sum(q.duration)+q1.duration
  FROM (SELECT * from yourtable 
         where downtimetype = 'Unschedule Maintenance' 
           and moment = (SELECT max(moment) maxmoment
                           from yourtable 


    where downtimetype = 'Unschedule Maintenance' ) )q1,
            yourtable q
     WHERE q.downtimetype ='Production'
       AND q.equipment =q1.equipment
       AND q.moment > maxmoment
group by q.moment, q.equipment

我试图

1）为＆＃34;取消安排维护＆＃34;分配顺序号码。

2）找到＆＃34;生产＆＃34;两个值之间的值＆＃34;非计划维护＆＃34;值。通过为上限和下限设置相同的子查询

3）将持续时间和分组按上限（q1）时间进行计算。

Answer 3

检查出来

select min(StartDate) 'Moment',min(Equipment) 'Equipment',sum(Duration) 'Total Duration' from mytable a
cross apply (select top 1 b.StartDate from mytable b where b.StartDate>a.StartDate and b.[DowntimeType]='Unscheduled Maintenance' order by StartDate asc) sq1(nextMaintenance)
group by nextMaintenance
order by min(StartDate)

SQL查询 - 根据条件

3 个答案: