枢转在TSQL

我有一个看起来像这样枢转在TSQL

enter image description here

我要转动它的报告看起来像这样

enter image description here

如何原始数据如何在TSQL中以这种方式调整它，其中Starttimes按从左到右的顺序排列？

这里是生成数据

Declare @ProcessHistory Table (Id Int, ProcessId Int, LocationId Int, StartTime DateTime, EndTime DateTime, Duration Time (0)) 
Insert Into @ProcessHistory Values 
(2, 13, 0, '2012-01-27 12:23:35.373', '2012-01-27 12:23:35.963', '00:00:00'), 
(3, 13, 10, '2012-01-27 12:23:35.373', '2012-01-27 12:23:35.633', '00:00:00'), 
(4, 13, 20, '2012-01-27 12:23:35.633', '2012-01-27 12:23:35.633', '00:00:00'), 
(5, 13, 30, '2012-01-27 12:23:35.633', '2012-01-27 12:23:35.657', '00:00:00'), 
(6, 13, 40, '2012-01-27 12:23:35.657', '2012-01-27 12:23:35.847', '00:00:00'), 
(7, 13, 50, '2012-01-27 12:23:35.847', '2012-01-27 12:23:35.950', '00:00:00'), 
(8, 13, 60, '2012-01-27 12:23:35.950', '2012-01-27 12:23:35.963', '00:00:00'), 
(218, 13, 0, '2012-01-27 22:05:34.650', '2012-01-27 22:05:37.297', '00:00:03'), 
(219, 13, 10, '2012-01-27 22:05:34.653', '2012-01-27 22:05:35.453', '00:00:01'), 
(220, 13, 20, '2012-01-27 22:05:35.457', '2012-01-27 22:05:35.463', '00:00:00'), 
(221, 13, 30, '2012-01-27 22:05:35.467', '2012-01-27 22:05:35.570', '00:00:00'), 
(222, 13, 40, '2012-01-27 22:05:35.570', '2012-01-27 22:05:35.620', '00:00:00'), 
(223, 13, 50, '2012-01-27 22:05:35.620', '2012-01-27 22:05:37.280', '00:00:02'), 
(224, 13, 60, '2012-01-27 22:05:37.283', '2012-01-27 22:05:37.293', '00:00:00'), 
(434, 13, 0, '2012-01-29 04:35:32.370', '2012-01-29 04:35:36.913', '00:00:04'), 
(435, 13, 10, '2012-01-29 04:35:32.400', '2012-01-29 04:35:33.817', '00:00:01'), 
(436, 13, 20, '2012-01-29 04:35:33.883', '2012-01-29 04:35:33.933', '00:00:00'), 
(437, 13, 30, '2012-01-29 04:35:33.933', '2012-01-29 04:35:34.153', '00:00:01'), 
(438, 13, 40, '2012-01-29 04:35:34.180', '2012-01-29 04:35:34.660', '00:00:00'), 
(439, 13, 50, '2012-01-29 04:35:34.727', '2012-01-29 04:35:36.700', '00:00:02'), 
(440, 13, 60, '2012-01-29 04:35:36.763', '2012-01-29 04:35:36.853', '00:00:00'), 
(650, 13, 0, '2012-01-29 22:19:18.297', '2012-01-29 22:19:22.103', '00:00:04'), 
(651, 13, 10, '2012-01-29 22:19:18.297', '2012-01-29 22:19:19.450', '00:00:01'), 
(652, 13, 20, '2012-01-29 22:19:19.453', '2012-01-29 22:19:19.473', '00:00:00'), 
(653, 13, 30, '2012-01-29 22:19:19.473', '2012-01-29 22:19:19.493', '00:00:00'), 
(654, 13, 40, '2012-01-29 22:19:19.493', '2012-01-29 22:19:19.537', '00:00:00'), 
(655, 13, 50, '2012-01-29 22:19:19.537', '2012-01-29 22:19:22.073', '00:00:03'), 
(656, 13, 60, '2012-01-29 22:19:22.073', '2012-01-29 22:19:22.083', '00:00:00'), 
(866, 13, 0, '2012-01-30 11:09:21.437', '2012-01-30 11:09:24.163', '00:00:03'), 
(867, 13, 10, '2012-01-30 11:09:21.437', '2012-01-30 11:09:22.437', '00:00:01'), 
(868, 13, 20, '2012-01-30 11:09:22.440', '2012-01-30 11:09:22.443', '00:00:00'), 
(869, 13, 30, '2012-01-30 11:09:22.447', '2012-01-30 11:09:22.490', '00:00:00'), 
(870, 13, 40, '2012-01-30 11:09:22.490', '2012-01-30 11:09:22.670', '00:00:00'), 
(871, 13, 50, '2012-01-30 11:09:22.670', '2012-01-30 11:09:24.150', '00:00:02'), 
(872, 13, 60, '2012-01-30 11:09:24.150', '2012-01-30 11:09:24.163', '00:00:00'), 
(1038, 13, 0, '2012-01-30 23:12:51.240', '2012-01-30 23:12:54.837', '00:00:03'), 
(1039, 13, 10, '2012-01-30 23:12:51.240', '2012-01-30 23:12:52.663', '00:00:01'), 
(1040, 13, 20, '2012-01-30 23:12:52.667', '2012-01-30 23:12:52.680', '00:00:00'), 
(1041, 13, 30, '2012-01-30 23:12:52.683', '2012-01-30 23:12:52.733', '00:00:00'), 
(1042, 13, 40, '2012-01-30 23:12:52.733', '2012-01-30 23:12:53.003', '00:00:01'), 
(1043, 13, 50, '2012-01-30 23:12:53.003', '2012-01-30 23:12:54.813', '00:00:01'), 
(1044, 13, 60, '2012-01-30 23:12:54.817', '2012-01-30 23:12:54.833', '00:00:00'), 
(1254, 13, 0, '2012-01-31 23:08:30.760', '2012-01-31 23:08:33.787', '00:00:03'), 
(1255, 13, 10, '2012-01-31 23:08:30.763', '2012-01-31 23:08:31.733', '00:00:01'), 
(1256, 13, 20, '2012-01-31 23:08:31.737', '2012-01-31 23:08:31.743', '00:00:00'), 
(1257, 13, 30, '2012-01-31 23:08:31.743', '2012-01-31 23:08:31.800', '00:00:00'), 
(1258, 13, 40, '2012-01-31 23:08:31.800', '2012-01-31 23:08:31.940', '00:00:00'), 
(1259, 13, 50, '2012-01-31 23:08:31.943', '2012-01-31 23:08:33.627', '00:00:02'), 
(1260, 13, 60, '2012-01-31 23:08:33.627', '2012-01-31 23:08:33.783', '00:00:00'), 
(1470, 13, 0, '2012-02-02 04:03:14.497', '2012-02-02 04:03:17.323', '00:00:03'), 
(1471, 13, 10, '2012-02-02 04:03:14.497', '2012-02-02 04:03:15.257', '00:00:01'), 
(1472, 13, 20, '2012-02-02 04:03:15.257', '2012-02-02 04:03:15.263', '00:00:00'), 
(1473, 13, 30, '2012-02-02 04:03:15.267', '2012-02-02 04:03:15.360', '00:00:00'), 
(1474, 13, 40, '2012-02-02 04:03:15.360', '2012-02-02 04:03:15.637', '00:00:00'), 
(1475, 13, 50, '2012-02-02 04:03:15.640', '2012-02-02 04:03:17.310', '00:00:02'), 
(1476, 13, 60, '2012-02-02 04:03:17.310', '2012-02-02 04:03:17.320', '00:00:00'), 
(1686, 13, 0, '2012-02-02 10:30:32.460', '2012-02-02 10:30:35.197', '00:00:03'), 
(1687, 13, 10, '2012-02-02 10:30:32.463', '2012-02-02 10:30:33.487', '00:00:01'), 
(1688, 13, 20, '2012-02-02 10:30:33.490', '2012-02-02 10:30:33.493', '00:00:00'), 
(1689, 13, 30, '2012-02-02 10:30:33.497', '2012-02-02 10:30:33.517', '00:00:00'), 
(1690, 13, 40, '2012-02-02 10:30:33.520', '2012-02-02 10:30:33.547', '00:00:00'), 
(1691, 13, 50, '2012-02-02 10:30:33.550', '2012-02-02 10:30:35.180', '00:00:02'), 
(1692, 13, 60, '2012-02-02 10:30:35.180', '2012-02-02 10:30:35.190', '00:00:00'), 
(1858, 13, 0, '2012-02-02 22:20:36.840', '2012-02-02 22:20:39.997', '00:00:03'), 
(1859, 13, 10, '2012-02-02 22:20:36.843', '2012-02-02 22:20:37.853', '00:00:01'), 
(1860, 13, 20, '2012-02-02 22:20:37.857', '2012-02-02 22:20:37.863', '00:00:00'), 
(1861, 13, 30, '2012-02-02 22:20:37.863', '2012-02-02 22:20:37.930', '00:00:00'), 
(1862, 13, 40, '2012-02-02 22:20:37.933', '2012-02-02 22:20:38.317', '00:00:01'), 
(1863, 13, 50, '2012-02-02 22:20:38.320', '2012-02-02 22:20:39.980', '00:00:01'), 
(1864, 13, 60, '2012-02-02 22:20:39.983', '2012-02-02 22:20:39.993', '00:00:00'), 
(2030, 13, 0, '2012-02-03 03:45:27.820', '2012-02-03 03:45:30.723', '00:00:03'), 
(2031, 13, 10, '2012-02-03 03:45:27.820', '2012-02-03 03:45:28.880', '00:00:01'), 
(2032, 13, 20, '2012-02-03 03:45:28.880', '2012-02-03 03:45:28.887', '00:00:00'), 
(2033, 13, 30, '2012-02-03 03:45:28.887', '2012-02-03 03:45:28.923', '00:00:00'), 
(2034, 13, 40, '2012-02-03 03:45:28.923', '2012-02-03 03:45:29.123', '00:00:01'), 
(2035, 13, 50, '2012-02-03 03:45:29.127', '2012-02-03 03:45:30.707', '00:00:01'), 
(2036, 13, 60, '2012-02-03 03:45:30.707', '2012-02-03 03:45:30.720', '00:00:00'), 
(2246, 13, 0, '2012-02-06 10:25:28.507', '2012-02-06 10:25:31.693', '00:00:03'), 
(2247, 13, 10, '2012-02-06 10:25:28.507', '2012-02-06 10:25:29.503', '00:00:01'), 
(2248, 13, 20, '2012-02-06 10:25:29.503', '2012-02-06 10:25:29.523', '00:00:00'), 
(2249, 13, 30, '2012-02-06 10:25:29.523', '2012-02-06 10:25:29.570', '00:00:00'), 
(2250, 13, 40, '2012-02-06 10:25:29.570', '2012-02-06 10:25:29.810', '00:00:00'), 
(2251, 13, 50, '2012-02-06 10:25:29.810', '2012-02-06 10:25:31.667', '00:00:02'), 
(2252, 13, 60, '2012-02-06 10:25:31.667', '2012-02-06 10:25:31.690', '00:00:00'), 
(2506, 13, 0, '2012-02-06 22:15:44.787', '2012-02-06 22:15:47.633', '00:00:03'), 
(2507, 13, 10, '2012-02-06 22:15:44.787', '2012-02-06 22:15:45.913', '00:00:01'), 
(2508, 13, 20, '2012-02-06 22:15:45.913', '2012-02-06 22:15:45.920', '00:00:00'), 
(2509, 13, 30, '2012-02-06 22:15:45.923', '2012-02-06 22:15:45.967', '00:00:00'), 
(2510, 13, 40, '2012-02-06 22:15:45.970', '2012-02-06 22:15:46.007', '00:00:01'), 
(2511, 13, 50, '2012-02-06 22:15:46.007', '2012-02-06 22:15:47.610', '00:00:01'), 
(2512, 13, 60, '2012-02-06 22:15:47.610', '2012-02-06 22:15:47.620', '00:00:00'), 
(2678, 13, 0, '2012-02-07 03:44:24.393', '2012-02-07 03:44:27.510', '00:00:03'), 
(2679, 13, 10, '2012-02-07 03:44:24.393', '2012-02-07 03:44:25.670', '00:00:01'), 
(2680, 13, 20, '2012-02-07 03:44:25.673', '2012-02-07 03:44:25.680', '00:00:00'), 
(2681, 13, 30, '2012-02-07 03:44:25.680', '2012-02-07 03:44:25.750', '00:00:00'), 
(2682, 13, 40, '2012-02-07 03:44:25.753', '2012-02-07 03:44:25.990', '00:00:00'), 
(2683, 13, 50, '2012-02-07 03:44:25.993', '2012-02-07 03:44:27.497', '00:00:02'), 
(2684, 13, 60, '2012-02-07 03:44:27.500', '2012-02-07 03:44:27.510', '00:00:00'), 
(2894, 13, 0, '2012-02-07 10:29:23.753', '2012-02-07 10:29:26.587', '00:00:03'), 
(2895, 13, 10, '2012-02-07 10:29:23.753', '2012-02-07 10:29:24.700', '00:00:01'), 
(2896, 13, 20, '2012-02-07 10:29:24.700', '2012-02-07 10:29:24.710', '00:00:00'), 
(2897, 13, 30, '2012-02-07 10:29:24.710', '2012-02-07 10:29:24.733', '00:00:00'), 
(2898, 13, 40, '2012-02-07 10:29:24.733', '2012-02-07 10:29:24.760', '00:00:00'), 
(2899, 13, 50, '2012-02-07 10:29:24.760', '2012-02-07 10:29:26.540', '00:00:02'), 
(2900, 13, 60, '2012-02-07 10:29:26.540', '2012-02-07 10:29:26.560', '00:00:00') 

Select * From @ProcessHistory

来源

2012-02-07 Raj More

这是一个一次性的报告？另外，如何提供服务（例如，Excel SS）？ – 2012-02-07 17:41:54

这是每周运行的。我将使用SSRS，但也可以做Excel。 – 2012-02-07 17:48:02

其对在原来的问题的意见TSQL：

要做到这一点，最简单的方法是将做在枢轴Excel中。 SQL Server将要求您在数据透视操作中指定每一列，您必须动态执行该列。（这太可怕了！）

如果您可以将上面显示的结果导入到Excel工作表中，然后从第一张表中读取第二张表（在同一工作簿中）并执行该关键点，那么您就是金手指。

来源

2012-02-07 17:50:37

正如@Norla说，这是非常讨厌在SQL做的，但下面应该让你有（没有经过测试的，顺便说一下，这样可以有几个捣蛋鬼）：

首先，你需要构建列名的列表（这是你的开始时间列中的唯一值：

DECLARE @cols NVARCHAR(2000) 
SELECT @cols = COALESCE(@cols + ',[' + startTime+ ']', 
         '[' + startTime+ ']') 
FROM ProcessHistory 
ORDER BY startTime

然后，你需要这个字符串送入动态SQL查询：

DECLARE @query NVARCHAR(4000) 
SET @query = N'SELECT processId,locationId, '[email protected] +' 
       FROM 
       (SELECT t.processId, 
         t.locationId, 
         t.starttime, 
         t.duration 
       FROM ProcessHistory) t PIVOT (SUM(duration) 
               FOR starttime IN ('[email protected] +') 
               ) AS pvt'

然后执行它与：

EXECUTE(@query)

来源

2012-02-07 18:04:51 StevieG

查看示例数据，我认为列应该在一分钟内是唯一的，否则它对你的（和Lamak的）答案没有任何意义 – Lamak 2012-02-07 20:11:31

+1。如果我是今天的时间，我可能已经写下了这个例子。但是，动态SQL让我感到畏缩。 [不好的经验]：D – 2012-02-07 21:13:13

好吧，有很多要考虑到你的问题。你需要动态SQL，所以你应该首先看看this link。另外，你的Duration列的数据类型是TIME，所以它不容易SUM，还有很多CAST和CONVERT这样做。一旦我说，我想这个查询和工作的罚款（看你的预期结果）：

DECLARE @Dates NVARCHAR(MAX)='', @Q NVARCHAR(MAX), @FormatedDates NVARCHAR(MAX) = '' 

SELECT @Dates = @Dates + '[' + CONVERT(VARCHAR(16),StartTime,120) + '],', 
     @FormatedDates = @FormatedDates + 'CONVERT(TIME(0),CAST([' + CONVERT(VARCHAR(16),StartTime,120) +'] AS DATETIME)) AS [' + CONVERT(VARCHAR(16),StartTime,120) +'],' 
FROM ProcessHistory 
GROUP BY CONVERT(VARCHAR(16),StartTime,120) 

SELECT @Dates = LEFT(@Dates,LEN(@Dates)-1), 
     @FormatedDates = LEFT(@FormatedDates,LEN(@FormatedDates)-1) 

SET @Q = ' 
SELECT ProcessId, LocationId, '[email protected]+' 
FROM ( SELECT ProcessId, LocationId, CONVERT(VARCHAR(16),StartTime,120) StartTime, 
       CAST(CONVERT(DATETIME,Duration) AS FLOAT) Duration 
     FROM ProcessHistory) A 
PIVOT (SUM(Duration) FOR StartTime IN ('[email protected]+')) PT' 


EXEC sp_executesql @Q

来源

2012-02-07 20:38:17 Lamak

也许是这样的：

测试数据：

CREATE TABLE ProcessHistory (Id Int, ProcessId Int, LocationId Int, StartTime DateTime, EndTime DateTime, Duration Time (0)) 
Insert Into ProcessHistory Values 
(2, 13, 0, '2012-01-27 12:23:35.373', '2012-01-27 12:23:35.963', '00:00:00'), 
..............................

获取独特的列：

DECLARE @cols VARCHAR(MAX) 
;WITH CTE AS 
(
    SELECT 
     convert(varchar, tbl.StartTime, 101)+' '+LEFT(convert(varchar, tbl.StartTime, 114),5) AS StartTime 
    FROM 
     ProcessHistory AS tbl 
), 
CTE2 AS 
(
    SELECT 
     ROW_Number() OVER(PARTITION BY CTE.StartTime ORDER BY CTE.StartTime DESC) AS RowNbr, 
     CTE.StartTime 
    FROM 
     CTE 
) 
SELECT 
    @cols = COALESCE(@cols + ','+QUOTENAME(StartTime), 
       QUOTENAME(StartTime)) 
FROM 
    CTE2 
WHERE 
    CTE2.RowNbr=1

执行动态SQL（我选择总结持续时间以秒为单位）：

DECLARE @query NVARCHAR(4000)= 
N'SELECT 
    * 
FROM 
(
    SELECT 
     tbl.ProcessId, 
     tbl.LocationId, 
     DATEDIFF(s, 0, tbl.Duration) AS Duration, 
     convert(varchar, tbl.StartTime, 101)+'' ''+LEFT(convert(varchar, tbl.StartTime, 114),5) AS StartTime 
    FROM 
     ProcessHistory AS tbl 
) AS P 
PIVOT 
(
    SUM(Duration) 
    FOR StartTime IN('[email protected]+') 
) AS Pvt' 

EXECUTE(@query)

然后在我的情况我'删除表：

DROP TABLE ProcessHistory

来源

2012-02-08 10:12:04 Arion

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