SQL服务器:显示不同的订单列表,并指出哪些订单包含特定产品
SQL Server : display distinct list of orders, and indicate which orders contain specific products
我有一个包含大量数据的 table,但是 table 中的相关数据看起来像这样:
订单 table:
+----------+-----------+---------------+
| OrderID | Product | Date |
+----------+-----------+---------------+
| 1 | Apple | 01/01/2001 |
| 1 | Pear | 01/01/2001 |
| 1 | Pear | 01/01/2001 |
| 1 | Orange | 01/01/2001 |
| 1 | Pineapple | 01/01/2001 |
| 2 | Cherry | 02/02/2002 |
| 2 | Cherry | 02/02/2002 |
| 3 | Orange | 03/03/2003 |
| 3 | Apple | 03/03/2003 |
| 3 | Cherry | 03/03/2003 |
+----------+-----------+---------------+
我想查询 return 一个不同的订单列表,如果订单包含某些产品,则表明:
+----------+-----------+--------+-------+
| OrderID | Date | Apple? | Pear? |
+----------+-----------+--------+-------+
| 1 |01/01/2001 | X | X |
| 2 |02/02/2002 | | |
| 3 |03/03/2003 | X | |
+----------+-----------+--------+-------+
这里是我停下来决定寻求帮助的地方:
WITH CTEOrder AS
(
SELECT
OrderID, Product, Date,
ROW_NUMBER() OVER (PARTITION BY OrderID ORDER BY OrderID ASC) AS OrderRN
FROM
Orders
)
CTEApple as
(
SELECT
OrderID, Product, Date,
ROW_NUMBER() OVER (PARTITION BY OrderID ORDER BY OrderID ASC) AS AppleRN
FROM
Orders
WHERE
Product = 'Apple'
),
CTEPear
(
SELECT
OrderID, Product, Date,
ROW_NUMBER() OVER (PARTITION BY OrderID ORDER BY OrderID ASC) AS PearRN
FROM
Orders
WHERE
Product = 'Pear'
)
SELECT
o.OrderID, o.Product, o.Date,
co.OrderRN, a.AppleRN, p.PearRN
FROM
Orders AS o
OUTER JOIN
CTEOrder AS co ON o.OrderID = co.Orderid
OUTER JOIN
CTEApple AS a ON o.OrderID = a.OrderID
OUTER JOIN
CTEPear AS p ON o.OrderID = p.OrderID
WHERE
(co.OrderRN IS NULL AND a.AppleRN IS NULL AND p.PearRN IS NULL
OR co.OrderRN = 1 AND a.AppleRN IS NULL AND p.PearRN IS NULL
OR co.OrderRN = 1 AND a.AppleRN = 1 AND p.PearRN IS NULL
OR co.OrderRN = 1 AND a.AppleRN = 1 AND p.PearRN = 1
OR co.OrderRN = 1 AND a.AppleRN IS NULL AND p.PearRN = 1
OR co.OrderRN IS NULL AND a.AppleRN = 1 AND p.PearRN IS NULL
OR co.OrderRN IS NULL AND a.AppleRN = 1 AND p.PearRN = 1
OR co.OrderRN IS NULL AND a.AppleRN IS NULL AND p.PearRN = 1)
目前我的结果集很笨重,有大量重复。
我认为我正朝着错误的方向前进,但我不知道 SQL 服务器中还有哪些其他工具可供我按照我需要的方式切割这些数据。
感谢您的指导!
在 Nik Shenoy 的指导下,这是我的结果集:
+----------+-----------+----------------+
| OrderID | Date | Apple? | Pear? |
+----------+-----------+----------------+
| 1 | 01/01/2001| x | NULL |
| 1 | 01/01/2001| NULL | x |
| 1 | 01/01/2001| NULL | x |
| 1 | 01/01/2001| NULL | NULL |
| 1 | 01/01/2001| NULL | NULL |
| 2 | 02/02/2002| NULL | NULL |
| 2 | 02/02/2002| NULL | NULL |
| 3 | 03/03/2003| NULL | NULL |
| 3 | 03/03/2003| x | NULL |
| 3 | 03/03/2003| NULL | NULL |
+----------+-----------+----------------+
我的下一步是什么,每个订单只有 1 行:
+----------+-----------+--------+-------+
| OrderID | Date | Apple? | Pear? |
+----------+-----------+--------+-------+
| 1 |01/01/2001 | X | X |
| 2 |02/02/2002 | | |
| 3 |03/03/2003 | X | |
+----------+-----------+--------+-------+
如果您提前知道所有产品,可以使用Transact-SQL PIVOT 关系运算符按产品cross-tabulate 数据。如果您使用 MAX 或 COUNT,您只需将 non-NULL 或 non-ZERO 输出转换为 'x'
SELECT
PivotData.OrderID
, PivotData.OrderDate
, CASE WHEN PivotData.Apple IS NULL THEN '' ELSE 'X' END AS [Apple?]
, CASE WHEN PivotData.Pear IS NULL THEN '' ELSE 'X' END AS [Pear?]
, CASE WHEN PivotData.Orange IS NULL THEN '' ELSE 'X' END AS [Orange?]
, CASE WHEN PivotData.Pineapple IS NULL THEN '' ELSE 'X' END AS [Pineapple?]
, CASE WHEN PivotData.Cherry IS NULL THEN '' ELSE 'X' END AS [Cherry?]
FROM
(SELECT OrderID, Product, OrderDate) AS [Order]
PIVOT (MAX(Product) FOR Product IN ( [Apple], [Pear], [Orange], [Pineapple], [Cherry] )) AS PivotData
您可以只使用条件聚合:
select o.orderid, date,
max(case when product = 'Apple' then 'X' end) as IsApple,
max(case when product = 'Pear' then 'X' end) as IsPear
from orders o
group by o.orderid, date;
我有一个包含大量数据的 table,但是 table 中的相关数据看起来像这样:
订单 table:
+----------+-----------+---------------+
| OrderID | Product | Date |
+----------+-----------+---------------+
| 1 | Apple | 01/01/2001 |
| 1 | Pear | 01/01/2001 |
| 1 | Pear | 01/01/2001 |
| 1 | Orange | 01/01/2001 |
| 1 | Pineapple | 01/01/2001 |
| 2 | Cherry | 02/02/2002 |
| 2 | Cherry | 02/02/2002 |
| 3 | Orange | 03/03/2003 |
| 3 | Apple | 03/03/2003 |
| 3 | Cherry | 03/03/2003 |
+----------+-----------+---------------+
我想查询 return 一个不同的订单列表,如果订单包含某些产品,则表明:
+----------+-----------+--------+-------+
| OrderID | Date | Apple? | Pear? |
+----------+-----------+--------+-------+
| 1 |01/01/2001 | X | X |
| 2 |02/02/2002 | | |
| 3 |03/03/2003 | X | |
+----------+-----------+--------+-------+
这里是我停下来决定寻求帮助的地方:
WITH CTEOrder AS
(
SELECT
OrderID, Product, Date,
ROW_NUMBER() OVER (PARTITION BY OrderID ORDER BY OrderID ASC) AS OrderRN
FROM
Orders
)
CTEApple as
(
SELECT
OrderID, Product, Date,
ROW_NUMBER() OVER (PARTITION BY OrderID ORDER BY OrderID ASC) AS AppleRN
FROM
Orders
WHERE
Product = 'Apple'
),
CTEPear
(
SELECT
OrderID, Product, Date,
ROW_NUMBER() OVER (PARTITION BY OrderID ORDER BY OrderID ASC) AS PearRN
FROM
Orders
WHERE
Product = 'Pear'
)
SELECT
o.OrderID, o.Product, o.Date,
co.OrderRN, a.AppleRN, p.PearRN
FROM
Orders AS o
OUTER JOIN
CTEOrder AS co ON o.OrderID = co.Orderid
OUTER JOIN
CTEApple AS a ON o.OrderID = a.OrderID
OUTER JOIN
CTEPear AS p ON o.OrderID = p.OrderID
WHERE
(co.OrderRN IS NULL AND a.AppleRN IS NULL AND p.PearRN IS NULL
OR co.OrderRN = 1 AND a.AppleRN IS NULL AND p.PearRN IS NULL
OR co.OrderRN = 1 AND a.AppleRN = 1 AND p.PearRN IS NULL
OR co.OrderRN = 1 AND a.AppleRN = 1 AND p.PearRN = 1
OR co.OrderRN = 1 AND a.AppleRN IS NULL AND p.PearRN = 1
OR co.OrderRN IS NULL AND a.AppleRN = 1 AND p.PearRN IS NULL
OR co.OrderRN IS NULL AND a.AppleRN = 1 AND p.PearRN = 1
OR co.OrderRN IS NULL AND a.AppleRN IS NULL AND p.PearRN = 1)
目前我的结果集很笨重,有大量重复。
我认为我正朝着错误的方向前进,但我不知道 SQL 服务器中还有哪些其他工具可供我按照我需要的方式切割这些数据。
感谢您的指导!
在 Nik Shenoy 的指导下,这是我的结果集:
+----------+-----------+----------------+
| OrderID | Date | Apple? | Pear? |
+----------+-----------+----------------+
| 1 | 01/01/2001| x | NULL |
| 1 | 01/01/2001| NULL | x |
| 1 | 01/01/2001| NULL | x |
| 1 | 01/01/2001| NULL | NULL |
| 1 | 01/01/2001| NULL | NULL |
| 2 | 02/02/2002| NULL | NULL |
| 2 | 02/02/2002| NULL | NULL |
| 3 | 03/03/2003| NULL | NULL |
| 3 | 03/03/2003| x | NULL |
| 3 | 03/03/2003| NULL | NULL |
+----------+-----------+----------------+
我的下一步是什么,每个订单只有 1 行:
+----------+-----------+--------+-------+
| OrderID | Date | Apple? | Pear? |
+----------+-----------+--------+-------+
| 1 |01/01/2001 | X | X |
| 2 |02/02/2002 | | |
| 3 |03/03/2003 | X | |
+----------+-----------+--------+-------+
如果您提前知道所有产品,可以使用Transact-SQL PIVOT 关系运算符按产品cross-tabulate 数据。如果您使用 MAX 或 COUNT,您只需将 non-NULL 或 non-ZERO 输出转换为 'x'
SELECT
PivotData.OrderID
, PivotData.OrderDate
, CASE WHEN PivotData.Apple IS NULL THEN '' ELSE 'X' END AS [Apple?]
, CASE WHEN PivotData.Pear IS NULL THEN '' ELSE 'X' END AS [Pear?]
, CASE WHEN PivotData.Orange IS NULL THEN '' ELSE 'X' END AS [Orange?]
, CASE WHEN PivotData.Pineapple IS NULL THEN '' ELSE 'X' END AS [Pineapple?]
, CASE WHEN PivotData.Cherry IS NULL THEN '' ELSE 'X' END AS [Cherry?]
FROM
(SELECT OrderID, Product, OrderDate) AS [Order]
PIVOT (MAX(Product) FOR Product IN ( [Apple], [Pear], [Orange], [Pineapple], [Cherry] )) AS PivotData
您可以只使用条件聚合:
select o.orderid, date,
max(case when product = 'Apple' then 'X' end) as IsApple,
max(case when product = 'Pear' then 'X' end) as IsPear
from orders o
group by o.orderid, date;