Question

请转换SQL查询结果时遇到问题。我的SQL查询是：

SELECT atop.name AS top, aseco.name AS abei, aseco.abeiId AS CI, aseco.location AS pac, axrt.frk AS FRK
FROM atop INNER JOIN (aseco INNER JOIN axrt ON (aseco.abeiId = axrt.abeiId) AND (aseco.BCFId = axrt.BCFId) AND (aseco.topId = axrt.topId)) ON atop.topId = aseco.topId
WHERE (((axrt.ctp)<>8) AND ((aseco.abeiish)=5)) OR (((axrt.ctp)<>3) AND ((aseco.abeiish)=2) AND ((aseco.hpnmd)=2));

结果如下：

----------------------------------------------------------------
top       |   abei      |         CI   |    pac    |  FRK      |
----------------------------------------------------------------
A         |     b       |       e      |     1     |    12     |
A         |     b       |       e      |     1     |    13     |
A         |     b       |       e      |     1     |    14     |
A         |     c       |       t      |     2     |    45     |
A         |     c       |       t      |     2     |    56     |
A         |     c       |       t      |     2     |    23     |
A         |     c       |       t      |     2     |    29     |
A         |     c       |       t      |     2     |    50     |
b         |     c       |       t      |     1     |    11     |
b         |     c       |       t      |     1     |    56     |
b         |     c       |       t      |     1     |    78     |
----------------------------------------------------------------

我想转置这个结果，我想要这样：

----------------------------------------------------------------------------------
top    |   abei   |    CI  |  pac  |   FRK   | frk1  | frk2  |  frk3  | frk4 |... 
---------------------------------------------------------------- -----------------
A      |     b    |    e   |   1   |    12   |  13   |  14   |        |      |... 
A      |     c    |    t   |   2   |    45   |  56   |  23   |   29   |   50 |... 
b      |     c    |    t   |   1   |    11   |  56   |  56   |   78   |      |... 
----------------------------------------------------------------------------------

我尝试了这段代码但不起作用！

SELECT atop.name AS top, aseco.name AS abei, aseco.abeiId AS CI, aseco.location AS pac, axrt.frk AS FRK,frk1,frk2,frk3,frk4,frk5,frk6,frk7,frk8,frk9,frk10,frk11,frk12, 
    max(case when row=1 then data end) frk1,
    max(case when row=2 then data end) frk2,
    max(case when row=3 then data end) frk3,
    max(case when row=4 then data end) frk4,
    max(case when row=5 then data end) frk5,
    max(case when row=6 then data end) frk6,
    max(case when row=7 then data end) frk7,
    max(case when row=8 then data end) frk8,
    max(case when row=9 then data end) frk9,
    max(case when row=10 then data end) frk10,
    max(case when row=11 then data end) frk11,
    max(case when row=12 then data end) frk12
FROM atop INNER JOIN (aseco INNER JOIN axrt ON (aseco.abeiId = axrt.abeiId) AND (aseco.BCFId = axrt.BCFId) AND (aseco.topId = axrt.topId)) ON atop.topId = aseco.topId
WHERE (((axrt.ctp)<>8) AND ((aseco.abeiish)=5)) OR (((axrt.ctp)<>3) AND ((aseco.abeiish)=2) AND ((aseco.hpnmd)=2));

感谢您的帮助。

Answer 1

您需要group by，并且您不需要select中的额外列。试试这个：

SELECT atop.name AS top, aseco.name AS abei, aseco.abeiId AS CI, aseco.location AS pac, axrt.frk AS FRK, 
    max(case when row=1 then data end) frk1,
    max(case when row=2 then data end) frk2,
    max(case when row=3 then data end) frk3,
    max(case when row=4 then data end) frk4,
    max(case when row=5 then data end) frk5,
    max(case when row=6 then data end) frk6,
    max(case when row=7 then data end) frk7,
    max(case when row=8 then data end) frk8,
    max(case when row=9 then data end) frk9,
    max(case when row=10 then data end) frk10,
    max(case when row=11 then data end) frk11,
    max(case when row=12 then data end) frk12
FROM atop INNER JOIN
     (aseco INNER JOIN axrt ON (aseco.abeiId = axrt.abeiId) AND (aseco.BCFId = axrt.BCFId) AND (aseco.topId = axrt.topId)) ON atop.topId = aseco.topId
WHERE (((axrt.ctp)<>8) AND ((aseco.abeiish)=5)) OR (((axrt.ctp)<>3) AND ((aseco.abeiish)=2) AND ((aseco.hpnmd)=2))
GROUP BY atop.name, aseco.name, aseco.abeiId, aseco.location ;

MYSQL：转置SQL查询的结果

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