Question

我正在尝试将两个具有相似时间戳但不相等的表组合在一起。任何人都可以帮忙吗？

ChillerTable

+----------------+------------+-------------+
| t_stamp        | SupplyTemp | Return_temp |
|                |            |             |
| 3/5/2015 12:02 | 15         | 14          |
|                |            |             |
| 3/5/2015 12:45 | 10         | 9           |
|                |            |             |
| 3/5/2015 13:27 | 9          | 7           |
+----------------+------------+-------------+

和

+----------------+----------+-------------+
| t_stamp        | Weight   | Jacket_temp |
|                |          |             |
| 3/5/2015 12:15 | 1500     | 10          |
|                |          |             |
| 3/5/2015 13:02 | 1200     | 9           |
|                |          |             |
| 3/5/2015 13:14 | 900      | 8           |
+----------------+----------+-------------+

结果

+------------------+-------------+-------------+----------+-------------+
| Combined_t_stamp | Supply_temp | Return_temp | Weight   | Jacket_temp |
|                  |             |             |          |             |
| 3/5/2015 12:02   | 15          | 14          | NULL     | NULL        |
|                  |             |             |          |             |
| 3/5/2015 12:15   | NULL        | NULL        | 1500     | 10          |
|                  |             |             |          |             |
| 3/5/2015 12:45   | 10          | 9           | NULL     | NULL        |
|                  |             |             |          |             |
| 3/5/2015 13:02   | NULL        | NULL        | 1200     | 9           |
|                  |             |             |          |             |
| 3/5/2015 13:14   | NULL        | NULL        | 900      | 8           |
|                  |             |             |          |             |
| 3/5/2015 13:27   | 9           | 7           | NULL     | NULL        |
+------------------+-------------+-------------+----------+-------------+

我能做的最好的事情是：

 SELECT     dbo.ChillerTable.t_stamp AS Expr1, dbo.ChillerTable.*, dbo.Kettle32Table.*


    FROM         dbo.ChillerTable INNER JOIN
                          dbo.Kettle32Table ON dbo.ChillerTable.t_stamp = dbo.Kettle32Table.t_stamp


WHERE     (dbo.ChillerTable.t_stamp > CONVERT(DATETIME, '2015-03-19 00:00:00', 102))

但这只给了我时间戳上相等的行当我选择!=时，它会给我更多行，但我希望两个表中的时间戳都在同一列中任何正确方向的帮助将不胜感激。我可能会在sql 2008中使用这个视图谢，肯

Answer 1

SELECT COALESCE(t1.t_stamp, t2.t_stamp) t_stamp
      ,SupplyTemp
      ,Return_temp
      ,[Weight]
      ,Jacket_temp
FROM Table1 t1 FULL JOIN Table2 t2
ON t1.t_stamp = t2.t_stamp

<强>结果

╔═════════════════════════╦════════════╦═════════════╦════════╦═════════════╗
║         t_stamp         ║ SupplyTemp ║ Return_temp ║ Weight ║ Jacket_temp ║
╠═════════════════════════╬════════════╬═════════════╬════════╬═════════════╣
║ 2015-03-05 12:02:00.000 ║ 15         ║ 14          ║ NULL   ║ NULL        ║
║ 2015-03-05 12:15:00.000 ║ NULL       ║ NULL        ║ 1500   ║ 10          ║
║ 2015-03-05 12:45:00.000 ║ 10         ║ 9           ║ NULL   ║ NULL        ║
║ 2015-03-05 13:02:00.000 ║ NULL       ║ NULL        ║ 1200   ║ 9           ║
║ 2015-03-05 13:14:00.000 ║ NULL       ║ NULL        ║ 900    ║ 8           ║
║ 2015-03-05 13:27:00.000 ║ 9          ║ 7           ║ NULL   ║ NULL        ║
╚═════════════════════════╩════════════╩═════════════╩════════╩═════════════╝

Answer 2

我不确定你想要什么，但DATEPART功能可以帮助你从两张桌子中找到类似的时间

INNER JOIN bo.Kettle32Table ON DATEPART(HOUR, dbo.ChillerTable.t_stamp) = DATEPART(HOUR, dbo.Kettle32Table.t_stamp)

Answer 3

这里是查询，它将两个表中的数据合并为一个：

SELECT t_stamp, SupplyTemp, Return_temp, null as Weight, null as Jacket_temp
FROM dbo.ChillerTable
UNION ALL
SELECT t_stamp, null, null, Weight, Jacket_temp
FROM dbo.Kettle32Table

如果要合并具有相同时间戳的行，可以扩展它：

select t_stamp, max(SupplyTemp) as SupplyTemp, max(Return_temp) as Return_temp, max(Weight) as Weight, max(Jacket_temp) as Jacket_temp
from (
    SELECT t_stamp, SupplyTemp, Return_temp, null as Weight, null as Jacket_temp
    FROM dbo.ChillerTable
    UNION ALL
    SELECT t_stamp, null, null, Weight, Jacket_temp
    FROM dbo.Kettle32Table
) as a
group by t_stamp

结合2个表的时间戳

3 个答案: