Sql 组合多个复杂的SELECT语句，使它们显示在一行上

我是SQL的新手，所以请温柔一点。我有一个表格，记录了不同地点不同传感器的温度。如果数据库结构更简单的话，我很乐意重新调整它

列为：ID int、SensorID tinyint、LocationID tinyint、TempReadDT datetime、Temp（十进制4,1）

传感器每隔几分钟记录一次读数，我希望有一个存储过程来获取以下信息，并显示在摘要页面上：

当前室内温度（传感器1的最新读数）

当前室外温度（传感器2的最新读数）

过去24小时的平均室内温度

过去7天的平均室内温度

上次更新日期时间（记录的最新日期）

我已经创建了单独的

SELECT

语句（如下），但我不确定如何将它们组合到一个查询中，以便在一行上返回数据

SELECT TOP 1 Temp AS "intTemp"
  FROM Temperature
 WHERE SensorID = 1
 ORDER BY ID DESC

SELECT TOP 1 Temp AS "extTemp"
  FROM Temperature
 WHERE SensorID = 2
 ORDER BY ID DESC

SELECT AVG(Temp) AS "avgTemp24h"
  FROM Temperature
 WHERE SensorID = 1
   AND TempReadDT >= DATEADD(DAY,-1, SYSDATETIME())

SELECT AVG(Temp) AS "avgTemp7d"
  FROM Temperature
 WHERE SensorID = 1
   AND TempReadDT >= DATEADD(DAY,-7, SYSDATETIME())

SELECT MAX(TempReadDT)
  FROM Temperature

---

我讨厌交叉连接，但是

Select * from 
(SELECT TOP 1 Temp AS "intTemp"
  FROM Temperature
 WHERE SensorID = 1
 ORDER BY ID DESC
) A
cross join
(SELECT TOP 1 Temp AS "extTemp"
  FROM Temperature
 WHERE SensorID = 2
 ORDER BY ID DESC
)B
cross join
(
SELECT AVG(Temp) AS "avgTemp24h"
  FROM Temperature
 WHERE SensorID = 1
   AND TempReadDT >= DATEADD(DAY,-1, SYSDATETIME())
)C
cross join
(
SELECT AVG(Temp) AS "avgTemp7d"
  FROM Temperature
 WHERE SensorID = 1
   AND TempReadDT >= DATEADD(DAY,-7, SYSDATETIME())
)D 
cross join
(
SELECT MAX(TempReadDT)
  FROM Temperature) E 

---

应该可以工作。

例如，您可以使用子查询和别名作为结果

SELECT 
   Max(case SensorID when 1 then Temp else null end) AS "intTemp",
   Max(case SensorID when 2 then Temp else null end) AS "intTemp",
   AVG(case 
           when SensorID = 1  
            AND TempReadDT >= DATEADD(DAY,-1, SYSDATETIME()) 
           then Temp else null end) AS "avgTemp24h",
   AVG(case 
           when SensorID = 1  
            AND TempReadDT >= DATEADD(DAY,-7, SYSDATETIME()) 
           then Temp else null end) AS "avgTemp7d",
   MAX(TempReadDT) MaxTemp
FROM Temperature

SELECT t1.col1, t2.col2 from (select * from tbl1) as t1, (select * from tbl2) as t2

---

如果你展示了原始数据和预期结果，你应该得到更好更快的回答。汉克斯·阿德里安，工作得很好。我将阅读更多关于这个案例的工作原理：）