Question

我有大型数据集，我想比较数据。例如，预算和实际之间的比较。根据讨论的（管理）级别，我需要类似的查询。

数据集：

Year                float
Period              float
Weeknumber          float
Account             nvarchar(255)
Customer            nvarchar(255)
Account manager     nvarchar(255)
Market              nvarchar(255)
Country             nvarchar(255)
Customercode        float
Customername        nvarchar(255)
Article             float
Description         nvarchar(255)
Productgroup        nvarchar(255)
Line                nvarchar(255)
Fresh               nvarchar(255)
OwnProduction       nvarchar(255)
NNNRevenue          decimal(10, 2)
CM                  decimal(10, 2)
Pieces              decimal(10, 2)
KG                  decimal(10, 2)
TriggerId           nvarchar(255)
YearWeek            nvarchar(255)

最基本的查询：

SELECT [Article]
      ,sum([NNNRevenue]) as Revenue
      ,sum([Pieces]) as Pieces
      ,sum([KG]) as KG

  FROM [PP_Test].[dbo].[history]

  where year = '2018'
  and period = '2' 

  group by Article
  order by Article

结果如下：

Article  Revenue    Pieces   KG
6852     123548,12  654813   13248,61
10031    489642,15  4687896  56478,54
4477     4698,78    54846    46,15

我对[PP_Test]有完全相同的查询。[dbo]。[预算]。我需要的是一个（完整？）加入，我的新结果将是预算或历史文件中的任何文章。

想要的结果示例：

Article  H.Revenue  H.Pieces H.KG      B.Revenue  B.Pieces  B.KG
6852     123548,12  654813   13248,61  51346,12   321558    87156,12
10031    489642,15  4687896  56478,54  541326     21314     13215,15
4477     4698,78    54846    46,15     321564,74  14548     132147,87
16531    0          0        0         1278,15    1348      1348,15
55555    123151,15  13234    154884    0          0         0

我的代码

SELECT h.[Article]
      ,sum([NNNRevenue]) as RevenueHis
      ,sum([Pieces]) as PiecesHis
      ,sum([KG]) as KGHis
     ,RevenueBud
     ,PiecesBud
     ,KgBud

  FROM 
  (
SELECT [Article]
      ,sum([NNNrevenue]) as RevenueBud
      ,sum([Pieces]) as PiecesBud
      ,sum([KG]) as KGBud

  FROM [PP_Test].[dbo].[budget]

  Where year = '2018'
  and Period = '2'
  group by Article
  ) as B

  Full outer join [PP_Test].[dbo].[history] as H
  on B.Article = H.Article

  where year = '2018'
  and period = '2' 

  group by h.Article, RevenueBud, PiecesBud, KGBud
  order by h.Article

这导致了我想要的表格，但是我错过了预算中存在但未包含在历史记录中的项目（实际值）。这似乎是因为h.article上的select，但是我需要这样才能得到模糊的名称错误。

当我开始工作时，我希望将其复制到不同的级别，例如客户/文章/行等的分析，并且下一步在srss中生成报告，其中变量被声明并由用户用于在期间，年份上进行选择等。

Answer 1

过滤full outer join非常棘手。一种方法是使用子查询：

SELECT COALESCE(B.Article, h.Article) as Article,
       RevenueHis, PiecesHis, KGHis,
       RevenueBud, PiecesBud, KgBud
FROM (SELECT [Article], sum([NNNrevenue]) as RevenueBud,
             sum([Pieces]) as PiecesBud, sum([KG]) as KGBud
      FROM [PP_Test].[dbo].[budget]
      WHERE year = 2018 AND Period = 2
      GROUP BY Article
     ) B FULL JOIN
     (SELECT Article, sum([NNNRevenue]) as RevenueHis,
             sum([Pieces]) as PiecesHis, sum([KG]) as KGHis
      FROM [PP_Test].[dbo].[history] as H
      WHERE year = 2018 AND period = 2
      GROUP BY Article
     ) H
     ON B.Article = H.Article
ORDER BY h.Article;

注意：将year和period存储为float是愚蠢的。 INT是有道理的。 DECIMAL(4)是有道理的。即使是一根绳子。但是不要使用浮点表示，除非这是你真正想要的。

同样，不要在数字常量周围加上单引号。单引号只能用于日期和字符串常量。

Full Outer Join两个选择合并为一个数据集进行分析

1 个答案: