Sql server 平均给定时间的值，并生成数据透视表

我有一张这样的桌子：

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 |

我需要一个数据透视表，其中测量值按时间间隔（比如一分钟）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中学会了如何做到这一点，但现在我不得不使用SQL Server，显然这与MySQL完全不同

任何帮助都是感激的，一些非琐碎的教程也会很有帮助

编辑

在Giorgi Nakeuri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)

这是传感器ID，但不是透视表…

尝试以下操作：

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

如果表中显示了更多列，则：

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)

---

如何自动生成列表[1]、[2]、[3]？我可以只使用Select语句吗？因为在现实生活中，我有成百上千的传感器。你想得到柱的手簧片吗？是的，没问题。谢谢你的回答，我试过了，但有些东西还不正确。@SantiPeñate Vera，您的表中有3行以上的行吗？请尝试使用+和tblData.Timestmp>2015-02-05 00:00:00和tblData.Timestmp<2015-02-05 23:59:59'也将其更改为“tblSeries.[SeriesName]=ActivePower”+，而不是exec@s打印@s并查看您是否正确构造了查询

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)