Question

我有一些要讨论的数据。

def theme(x):

    category = []

    for i in x:
        if 'AC' in i:
            category.append('AC problem')
        elif 'insects' in i:
            category.append('Cleanliness')
        elif 'clean' in i:
            category.append('Cleanliness')
        elif 'food' in i:
            category.append('Food Problem')
        elif 'delay' in i:
            category.append('Train Delayed')
        else:
            category.append('None')

    return category

categories = theme(['bla bla AC bla','bla insects bla'])
print(categories)

col_1和col_2是类别的组合因此，基本上，每个唯一日期的输出应为1行，其余列应为col_1和col2的相关组合，并用连字符分隔。该表将由每个日期col_1 col_2项目组合的总价格填充。下图可能会有用：

---------------------------------------------
| date         | price  | col_1 | col_2    |
---------------------------------------------
| 2017-12-10   | 26     | fruit | apple    |
| 2017-12-10   | 346    | Vege  | carrot   |
| 2017-12-11   | 644    | Sweet | cake     |
| 2017-12-11   | 35435  | fruit | banana   |
| 2017-12-12   | 453455 | veggie| beans    |
---------------------------------------------

大约4个小时与朋友交谈并进行研究后，我们在下面提出了此脚本。它执行但除了非常奇怪的错误外没有其他任何返回。

-------------------------------------------------------------------
| date         | fruit - apple|  fruit - banana| val n-SubVal n    |
-------------------------------------------------------------------
| 2017-12-10   | NULL         | 56             |    and so on
| 2017-12-11   | 100          | NULL           |
| 2017-12-12   | NULL         | 900            |
| 2017-12-13   | 45           | NULL           |
| 2017-12-14   | NULL         | NULL           |
--------------------------------------------------------------------

该错误可能发生在第一条或第二条声明语句（MSSQL随机选择的那一行，因为它永远不会是同一行＃）。

对获得上述输出的任何帮助将不胜感激。非常感谢你。

Incorrect syntax near '*some value in either col_1 or col_2*'.

Answer 1

您可以尝试以下查询：

    declare @dynamicpivotquery as NVARCHAR(MAX)
    declare @columnname as NVARCHAR(MAX)

    select @columnname = COALESCE(@columnname + ', ','') + QuoteName(cat)
    from (select distinct cat_1+'-'+cat_2 as cat from #YourTable) as d

    SET @dynamicpivotquery = 
    N';WITH p AS (
        SELECT sold_date,  [cat_1] +''-'' +[cat_2]  AS CATCOL, SUM(sold_price) AS sold_price  
        FROM #YourTable
        GROUP BY sold_date, [cat_1] + ''-'' + [cat_2]
        )
        SELECT sold_date,  ' + @columnname + '
        FROM p
        PIVOT (SUM([sold_price]) FOR CATCOL IN (' + @columnname + ')) AS pivotcat12'

    EXEC sp_executesql @dynamicpivotquery

样本数据：

    sold_date   sold_price  cat_1   cat_2   cat_12
    ----------------------------------------------------
    2017-12-10  26,00       fruit   apple   fruit-apple
    2017-12-10  346,00      vege    carrot  vege-carrot
    2017-12-11  644,00      sweet   cake    sweet-cake
    2017-12-11  35435,00    fruit   banana  fruit-banana
    2017-12-12  453455,00   veggie  beans   veggie-beans
    2017-12-12  100,00      other   fruits  other-fruits
    2017-12-12  100,00      other   fruits  other-fruits
    2017-12-12  100,00      other   fruits  other-fruits

动态查询字符串：

    ;WITH p AS (
        SELECT sold_date,  [cat_1] +'-' +[cat_2]  AS CATCOL, SUM(sold_price) AS sold_price  
        FROM #YourTable
        GROUP BY sold_date, [cat_1] + '-' + [cat_2]
        )
        SELECT sold_date,  [fruit-apple], [fruit-banana], [other-fruits], [sweet-cake], [vege-carrot], [veggie-beans]
        FROM p
        PIVOT (
        SUM([sold_price])
        FOR CATCOL IN ([fruit-apple], [fruit-banana], [other-fruits], [sweet-cake], [vege-carrot], [veggie-beans])) AS pivotcat12

结果：

    sold_date   fruit-apple fruit-banana    other-fruits    sweet-cake  vege-carrot veggie-beans
    --------------------------------------------------------------------------------------------
    2017-12-10  26,00       NULL            NULL            NULL        346,00      NULL
    2017-12-11  NULL        35435,00        NULL            644,00      NULL        NULL
    2017-12-12  NULL        NULL            300,00          NULL        NULL        453455,00

Answer 2

关于您的查询的一些评论：

示例数据的字段名称为date，price，col_1和col_2，而查询使用的字段名称为sold_date，sold_price，{ {1}}和cat_1。
您可能已经看过变量cat_2中的结果以了解问题所在：@dynamicpivotquery不是有效的字段名。应该应该是[fruit][apple]。
PIVOT查询不知道带有串联类别名称的字段[fruit - apple]。
不需要动态查询中的d。您必须确保PICOT命令的源中仅包含必填字段（distinct，sold_date和sold_price），因为否则查询也将按所有其他字段分组，这将导致不需要的行。

您的代码可以这样工作：

Answer 3

数据透视表两次。只需动态应用相同的逻辑，以便它出现在col_1和col_2的所有组合中。

select * from
( select [DATE], [col_1] ,[col_2],[price]
from *tablename*
) TableName
pivot
(sum(price)
for col_1 in (fruit)
) as FirstPivot
pivot
(sum(fruit)
for col_2 in (apple,banana)
) as SecondPivot

MS SQL SERVER中的数据透视表

3 个答案: