Question

我有一张这样的表：

time     | sensor | value |
---------------------------
10:00:00 | 1      |  12.3 |
10:00:00 | 2      |  14.3 |
10:00:00 | 3      |  15.3 |
10:00:01 | 1      |  15.3 |
10:00:02 | 2      |  11.3 |
10:00:01 | 3      |  10.3 |
10:00:03 | 1      |   9.3 |
10:00:03 | 2      |  15.3 |
10:00:04 | 3      |  11.3 |
...
10:05:01 | 1      |  15.3 |
10:05:02 | 2      |  11.3 |
10:05:01 | 3      |  10.3 |
10:05:03 | 1      |   9.3 |
10:05:03 | 2      |  15.3 |
10:05:04 | 3      |  11.3 |

我需要一个Pivot表格，其中测量值以一分钟的时间间隔平均，并按传感器排序：

time     | sensor 1| sensor 2| sensor 3|
----------------------------------------
10:00:00 |   11    |    12   |    10   |
10:01:00 |   10    |    13   |    15   |
...

我在MySQL了解了如何执行此操作，但现在我被迫使用SQL Server，显然这与MySQL完全不同。

任何帮助都表示赞赏，也有一些关于此的非常重要的教程会有所帮助。

修改

在Giorgi Nakeuri的回复后尝试：

DECLARE @cols VARCHAR(MAX)

SELECT STUFF((SELECT '],[' + CAST([Group] AS VARCHAR(10)) FROM tblGroups
GROUP BY [Group]
FOR XML PATH('')), 1, 2, '') + ']'

DECLARE @s VARCHAR(MAX) = 'with cte as(
    SELECT tblData.Timestmp, tblSeries.GroupID as SensorID, tblData.SeriesID, tblData.DataValue
    FROM tblData 
    INNER JOIN tblSeries ON tblData.SeriesID = tblSeries.SeriesID

    WHERE (tblSeries.[SeriesName] = ' + 'ActivePower' 
            + 'AND tblData.Timestmp > ' + '2015-02-05 00:00:00' + ' AND  tblData.Timestmp < ' + '2015-02-05 23:59:59'
            + 'AND tblData.DataValue>100)
)
select * from cte
pivot(AVG(DataValue) for GroupID in(' + @cols + ' )) p'


EXEC(@s)

结果是：

[150],[151],[152],[154],[159],[160],[164],[165],[166],[167],[168],[169],[171],[172],[173],[174],[175],[176],[180],[181],[182],[184],[185],[186],[187],[188],[189],[191],[192],[193],[194],[195],[196],[197],[20],[201],[205],[206],[207],[208],[209],[21],[210],[217],[218],[219],[220],[221],[222],[223],[224],[225],[226],[227],[228],[229],[231],[232],[233],[236],[237],[249],[251],[252],[253],[254],[258],[259],[260],[262],[263],[276],[277],[278],[279],[281],[288],[289],[290],[291],[293],[294],[295],[296],[300],[301],[302],[304],[308],[309],[314],[315],[316],[317],[324],[326],[329],[330],[331],[332],[333],[334],[335],[339],[340],[344],[347],[348],[351],[352],[353],[354],[355],[356],[357],[359],[370],[372],[373],[374],[375],[376],[380],[381],[382],[383],[384],[385],[386],[387],[388],[389],[390],[394],[395],[396],[397],[398],[400],[404],[405],[406],[407],[408],[409],[410],[411],[412],[413],[414],[418],[419],[420],[421],[425],[432],[435],[436],[437],[438],[439],[443],[444],[445],[452],[453],[457],[465],[466],[467],[468],[484],[485],[486],[487],[494],[495],[498],[499],[501],[506],[507],[511],[515],[516],[520],[521],[523],[527],[530],[531],[532],[533],[548],[550],[601],[605],[614],[615],[617],[81],[82],[829]

这是传感器ID，但不是数据透视表...

Answer 1

试试这个：

select * from someTable
pivot(AVG(value) for sensor in([1],[2],[3])) p

如果您的表格中有更多列，那么您将显示：

with cte as(select time, sensor, value from someTable)
select * from cte
pivot(AVG(value) for sensor in([1],[2],[3])) p

动态版本：

DECLARE @cols VARCHAR(MAX) = '' 

SELECT @cols = STUFF((SELECT '],[' + CAST([Group] AS VARCHAR(10)) FROM tblGroups 
WHERE [Group] <> 'meteo' 
GROUP BY [Group] 
FOR XML PATH('')), 1, 2, '') + ']' 

DECLARE @s VARCHAR(MAX) = 'with cte as( 
SELECT DATEADD(mi, datediff(mi, 0, tblData.Timestmp), 0) Timestmp, tblSeries.GroupID as SensorID, tblData.DataValue 
FROM tblData INNER JOIN tblSeries ON tblData.SeriesID = tblSeries.SeriesID 
WHERE tblSeries.[SeriesName] = ' + '''ActivePower''' + ' AND tblData.Timestmp > ''' + '2015-02-05 00:00:00''' + ' 
AND tblData.Timestmp < ' + '''2015-02-05 23:59:59''' + ' AND tblData.DataValue>100 
) 
select * from cte 
pivot(AVG(DataValue) for GroupID in(' + @cols + ' )) p' 

EXEC( @s)

给定时间的平均值并制作数据透视表

1 个答案: