Sql server 如何检索单行上的数据？

我有一个包含一些数据的表格，类似这样：

+---------+---------+---------+---------+-------------+
| Column1 | Column2 | Column3 | Column4 |   Column5   |
+---------+---------+---------+---------+-------------+
| 38073   |      16 | abc     |     444 | 4/28/2015   |
| 38076   |      70 | gug     |     555 | 4/30/2015   |
| 38098   |      13 | yyy     |     111 | 5/12/2015   |
| 38098   |      13 | yyy     |     112 | 5/13/2015   |
| 38098   |      13 | yyy     |     113 | 5/14/2015   |
| 38098   |      13 | yyy     |     114 | 5/15/2015   |
| 38100   |      17 | abc     |     115 | 5/13/2015   |
+---------+---------+---------+---------+-------------+

我想做的是将第4列和第5列中的值放在一行上，如下所示：

+---------+----------+-----------+----------+-----------+----------+-----------+----------+-------------+
|  Col1   | Col4Val1 | Col5Val1  | Col4Val2 | Col5Val2  | Col4Val3 | Col5Val3  | Col4Val4 |  Col5Val4   |
+---------+----------+-----------+----------+-----------+----------+-----------+----------+-------------+
| 38073   |      444 | 4/28/2015 | null     | null      | null     | null      | null     | null        |
| 38076   |      555 | 4/30/2015 | null     | null      | null     | null      | null     | null        |
| 38098   |      111 | 5/12/2015 | 112      | 5/13/2015 | 113      | 5/14/2015 | 114      | 5/15/2015   |
+---------+----------+-----------+----------+-----------+----------+-----------+----------+-------------+

如果可能的话，感谢您的帮助

多谢各位

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Bogdan

您可以使用

联合

将数据与

CTE

解除绑定，然后

透视

列。您也可以动态实现这一点，有数百篇文章将向您展示如何做到这一点：

;WITH CTE AS (
SELECT [Column1], CAST([Column4] AS VARCHAR) AS [ColumnVals], 'Col4Val'+CAST(ROW_NUMBER() OVER(PARTITION BY [Column1] ORDER BY (SELECT 1)) AS VARCHAR) AS [Pivot]
FROM  Table1
UNION
SELECT [Column1], [Column5], 'Col5Val'+CAST(ROW_NUMBER() OVER(PARTITION BY [Column1] ORDER BY (SELECT 1)) AS VARCHAR) AS [Pivot]
FROM  Table1)
SELECT [Column1], [Col4Val1], [Col5Val1], [Col4Val2], [Col5Val2], [Col4Val3], [Col5Val3], [Col4Val4], [Col5Val4]
FROM CTE
PIVOT (MAX([ColumnVals]) FOR [Pivot] IN ([Col4Val1], [Col5Val1], [Col4Val2], [Col5Val2], [Col4Val3], [Col5Val3], [Col4Val4], [Col5Val4])) PIV

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这是一把小提琴：

谢谢，太好了。