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SQLServerで関連テーブルをクエリする出力のようなマトリックスを生成するためのSQLクエリ

私は3つのテーブルを持っています：
製品

ProductID   ProductName  
1           Cycle  
2           Scooter  
3           Car

顧客

CustomerID  CustomerName  
101         Ronald  
102         Michelle  
103         Armstrong  
104         Schmidt  
105         Peterson

トランザクション

TID   ProductID CustomerID TranDate   Amount  
10001 1         101        01-Jan-11  25000.00  
10002 2         101        02-Jan-11  98547.52  
10003 1         102        03-Feb-11  15000.00  
10004 3         102        07-Jan-11  36571.85  
10005 2         105        09-Feb-11  82658.23  
10006 2         104        10-Feb-11  54000.25  
10007 3         103        20-Feb-11  80115.50  
10008 3         104        22-Feb-11  45000.65

次のようにトランザクションをグループ化するクエリを作成しました。

SELECT P.ProductName AS Product,  
       C.CustName AS Customer,  
       SUM(T.Amount) AS Amount  
FROM   Transactions AS T  
       INNER JOIN Product AS P  
            ON  T.ProductID = P.ProductID  
       INNER JOIN Customer AS C  
            ON  T.CustomerID = C.CustomerID  
WHERE T.TranDate BETWEEN '2011-01-01' AND '2011-03-31'   
GROUP BY  
       P.ProductName,  
       C.CustName  
ORDER BY  
       P.ProductName

これにより、次のような結果が得られます。

Product Customer   Amount  
Car     Armstrong  80115.50  
Car     Michelle   36571.85  
Car     Schmidt    45000.65  
Cycle   Michelle   15000.00  
Cycle   Ronald     25000.00  
Scooter Peterson   82658.23  
Scooter Ronald     98547.52  
Scooter Schmidt    54000.25

次のようなMATRIX形式のクエリの結果が必要です：

Customer  |------------ Amounts ---------------         
Name      |Car      Cycle     Scooter  Totals
Armstrong  80115.50 0.00      0.00     80115.50  
Michelle   36571.85 15000.00  0.00     51571.85  
Ronald     0.00     25000.00  98547.52 123547.52  
Peterson   0.00     0.00      82658.23 82658.23  
Schmidt    45000.65 0.00      54000.25 99000.90

SQL Server 2005で上記の結果を達成するのを手伝ってください。複数のビュー、または一時テーブルを使用することは私にとっては問題ありません。

sqlsql-serversql-server-2005pivot
9
Nagesh

SQL Serverの [〜＃〜]ピボット[〜＃〜] 演算子を使用できます

SELECT  *
FROM    (
          SELECT  P.ProductName
                  , C.CustName
                  , T.Amount
          FROM    Transactions AS T  
                  INNER JOIN Product AS P ON  T.ProductID = P.ProductID  
                  INNER JOIN Customer AS C ON  T.CustomerID = C.CustomerID  
          WHERE   T.TranDate BETWEEN '2011-01-01' AND '2011-03-31'   
        ) s
PIVOT   (SUM(Amount) FOR ProductName IN ([Car], [Cycle], [Scooter])) pvt

テストデータ

;WITH q AS (
  SELECT  [Product] = 'Car', [Customer] = 'Armstrong', [Amount] = 80115.50
  UNION ALL SELECT 'Car', 'Michelle', 36571.85  
  UNION ALL SELECT 'Car', 'Schmidt', 45000.65  
  UNION ALL SELECT 'Cycle', 'Michelle', 15000.00  
  UNION ALL SELECT 'Cycle', 'Ronald', 25000.00  
  UNION ALL SELECT 'Scooter', 'Peterson', 82658.23  
  UNION ALL SELECT 'Scooter', 'Ronald', 98547.52  
  UNION ALL SELECT 'Scooter', 'Schmidt', 54000.25  
)
SELECT  Customer
        , Car = ISNULL(Car, 0)
        , Cycle = ISNULL(Cycle, 0)
        , Scooter = ISNULL(Scooter, 0)
        , Total = ISNULL(Car, 0) + ISNULL(Cycle, 0) + ISNULL(Scooter, 0)
FROM    (
          SELECT  *
          FROM    q
        ) s
PIVOT   (SUM(Amount) FOR Product IN ([Car], [Cycle], [Scooter])) pvt

出力

Customer   Car       Cycle     Scooter   Total
Armstrong  80115.50  0.00      0.00      80115.50
Michelle   36571.85  15000.00  0.00      51571.85
Peterson   0.00      0.00      82658.23  82658.23
Ronald     0.00      25000.00  98547.52  123547.52
Schmidt    45000.65  0.00      54000.25  99000.90
12
Lieven Keersmaekers

ピボットを使用してマトリックスを作成できます。これはデータフレームで簡単に実行できます。

product|Key|Value
A      |P  |10|
A      |Q  |40|
B      |R  |50|
B      |S  |50|

val newdf=df.groupBy("product").pivot("key").sum("value")

|product|P   |Q   |R   |S   |
|B      |null|null|  50|  50|
|A      |  10|  40|null|null|

Nullを置き換えることができ、計算も行うことができます

1
shashidhar reddy
create table #Product (ProductID   int,ProductName  varchar(15))
insert into #Product values (1,'Cycle')
insert into #Product values (2,'Scooter')
insert into #Product values (3,'Car')

create table #Customer (CustomerID   int, CustomerName  varchar(30))
insert into #Customer values (101,'Ronald')
insert into #Customer values (102,'Michelle')
insert into #Customer values (103,'Armstrong')
insert into #Customer values (104,'Schmidt')
insert into #Customer values (105,'Peterson')

create table #Transactions (TID int,ProductID int,CustomerID int, TranDate smalldatetime,Amount decimal(18,2))
insert into #Transactions values (10001,1,101,'01-Jan-11',25000.00)
insert into #Transactions values (10002,2,101,'02-Jan-11',98547.52)
insert into #Transactions values (10003,1,102,'03-Feb-11',15000.00)
insert into #Transactions values (10004,3,102,'07-Jan-11',36571.85)
insert into #Transactions values (10005,2,105,'09-Feb-11',82658.23)
insert into #Transactions values (10006,2,104,'10-Feb-11',54000.25)
insert into #Transactions values (10007,3,103,'20-Feb-11',80115.50)
insert into #Transactions values (10008,3,104,'22-Feb-11',45000.65)

with temp as 
(
select cus.CustomerName,pro.ProductName, sum(trans.Amount) as Amount from #Transactions as trans
inner join #Customer as cus on trans.CustomerID = cus.CustomerID
inner join #Product as pro on trans.ProductID = pro.ProductID
group by cus.CustomerName,pro.ProductName
)

select CustomerName,isnull([Car],0)Car, isnull([Cycle],0)Cycle,isnull([Scooter],0) as Scooter, isnull([Car],0)+isnull([Cycle],0)+isnull([Scooter],0)as Total  from temp
pivot (
sum(Amount) for ProductName in ([Cycle],[Scooter],[Car])
)pot*
0
Deena 786