多个表上的多个FULL OUTER JOIN

时间:2013-04-23 11:14:05

标签: sql sql-server tsql sql-server-2005 full-outer-join

我有多个外连接

SELECT  A.column2
        , B.column2
        , C.column2
FROM 
(
    (SELECT month, column2 FROM table1) A
    FULL OUTER JOIN
    (SELECT month, column2 FROM table2) B on A.month= B.month
    FULL OUTER JOIN 
    (SELECT month, column2 FROM table3) C on A.month= C.month
)

现在最后一次加入是有问题的,当A的月份超过B时它会重复但是如果B有更多的月份A我们在C中有OUTER JOIN而A现在重复,所以我想有一个完整的两个表内的OUTER JOIN可以解决问题吗?任何深入的链接??

示例数据(不正确)

╔════════════╦═════════╦═════════════╗
║  Revenue   ║ Budget  ║ ActualMonth ║
╠════════════╬═════════╬═════════════╣
║     6.9172 ║ 3.5046  ║ Jan         ║
║     7.3273 ║ 3.7383  ║ Feb         ║
║     7.3273 ║ 3.9719  ║ Mar         ║
║     7.2726 ║ 4.2056  ║ Apr         ║
║     7.2595 ║ 6.7757  ║ May         ║
║     7.2726 ║ 6.7757  ║ Jun         ║
║     0.41   ║ 0.00    ║ Jul         ║
║     0.41   ║ 0.00    ║ Aug         ║
║     0.41   ║ 0.00    ║ Sep         ║
║     0.41   ║ 0.00    ║ Oct         ║
║     7.4696 ║ 0.00    ║ Nov         ║
║     7.4696 ║ 0.00    ║ Dec         ║
║     0.00   ║ 9.3457  ║ Sep         ║
║     0.00   ║ 16.3551 ║ Dec         ║
║     0.00   ║ 6.3084  ║ Jul         ║
║     0.00   ║ 14.0186 ║ Oct         ║
║     0.00   ║ 16.3551 ║ Nov         ║
║     0.00   ║ 6.1915  ║ Aug         ║
╚════════════╩═════════╩═════════════╝

正确的数据

╔════════════╦═════════╦═════════════╗
║  Revenue   ║ Budget  ║ ActualMonth ║
╠════════════╬═════════╬═════════════╣
║     6.9172 ║ 3.5046  ║ Jan         ║
║     7.3273 ║ 3.7383  ║ Feb         ║
║     7.3273 ║ 3.9719  ║ Mar         ║
║     7.2726 ║ 4.2056  ║ Apr         ║
║     7.2595 ║ 6.7757  ║ May         ║
║     7.2726 ║ 6.7757  ║ Jun         ║
║     0.41   ║ 6.3084  ║ Jul         ║
║     0.41   ║ 6.1915  ║ Aug         ║
║     0.41   ║ 9.3457  ║ Sep         ║
║     0.41   ║ 14.0186 ║ Oct         ║
║     7.4696 ║ 16.3551 ║ Nov         ║
║     7.4696 ║ 16.3551 ║ Dec         ║
╚════════════╩═════════╩═════════════╝

6 个答案:

答案 0 :(得分:32)

SELECT  A.column2
        , B.column2
        , C.column2
FROM 
(
    (SELECT month, column2 FROM table1) A
    FULL OUTER JOIN
    (SELECT month, column2 FROM table2) B on A.month= B.month
    FULL OUTER JOIN 
    (SELECT month, column2 FROM table3) C on ISNULL(A.month, B.month) = C.month
)

答案 1 :(得分:6)

其中一种方法可以是从所有三个表中的所有可能数据创建“锚”表,然后使用left outer join

select
    A.column2,
    B.column2,
    C.column2
from (
    select distinct month from table1
    union
    select distinct month from table2
    union
    select distinct month from table3
) as X
    left outer join table1 as A on A.month = X.month
    left outer join table2 as B on B.month = X.month
    left outer join table3 as C on C.month = X.month

答案 2 :(得分:3)

我可以想到两种方法可以解决这个问题,具体取决于定义所需结果的实际逻辑。

第一种也是最简单的方法是使用GROUP BY月,并使用MAX(column2)等聚合函数来获取非零行,或者如果有多个非零行,则需要添加,使用SUM()。如果存在满足逻辑意图的聚合函数,则这是最佳解决方案。

另一个是在你的JOIN中包含更多条件,例如" WHERE a.month = b.month AND b.column2> 0",但如果可以存在多个非零行,则仍然无法解决问题。

答案 3 :(得分:2)

使用COALESCE功能选项确定列分组。

SELECT COALESCE(t1.Month, t2.Month, t3.Month) AS Month, 
       SUM(ISNULL(t1.Col1, 0)) AS t1Col1, 
       SUM(ISNULL(t2.Col1, 0)) AS t2Col1, 
       SUM(ISNULL(t3.Col1, 0)) AS t3Col1
FROM dbo.table1 t1 FULL OUTER JOIN dbo.table2 t2 ON t1.Month = t2.Month
                   FULL OUTER JOIN dbo.table3 t3 ON t1.Month = t3.Month
GROUP BY COALESCE(t1.Month, t2.Month, t3.Month)

答案 4 :(得分:1)

类似

select month, sum(a) a,  sum(b) b, sum(c) c from (
  SELECT month, column2 A, 0 B, 0 C FROM table1 
    union 
  SELECT month, 0 A, column2 B, 0 C FROM table2
    union 
  SELECT month, 0 A, 0 B, column2 C FROM table3
) x
group by month

答案 5 :(得分:0)

与其一次完成所有的外连接,不如像这样一次完成一个:

SELECT  A.column2
        , B.column2
        , C.column2
FROM 
(
    (SELECT month, column2 FROM (
        (SELECT month, column2 FROM table1) A
        FULL OUTER JOIN
        (SELECT month, column2 FROM table2) B on A.month= B.month
    )) A_AND_B
    FULL OUTER JOIN 
    (SELECT month, column2 FROM table3) C on A_AND_B.month= C.month
)

即,对 A 和 B 进行完全外连接,然后对 that 和 C 进行完全外连接,然后对 that 和 D 进行完全外连接,然后进行that 和 E 等的全外连接

这不像上面的其他答案那么复杂,并且可以对尽可能多的表重复进行完全外连接。