【发布时间】:2017-01-18 01:19:08
【问题描述】:
我正在尝试根据以下数据转换列中的行:
Select EvolutionOrder, Age from Product where ProductID = 1
EvolutionOrder Age
-------------- ----
1 0012
2 1324
3 2536
4 3700
Select EvolutionOrder, Age from Product where ProductID = 2
EvolutionOrder Age
-------------- ----
1 QUEE
1 HIVE
我需要结果为:
Product Age1 Age2 Age3 Age4 Age5
------- ---- ---- ---- ---- ----
1 0012 1324 2536 3700 NULL
2 QUEE HIVE NULL NULL NULL
我尝试使用 PIVOT,但没有成功,因为年龄列的聚合函数随值消失
SELECT ProductID,
[1] AS Age1,
[2] AS Age2,
[3] AS age3,
[4] AS age4
FROM Product
PIVOT (MAX(Age) FOR EvolutionOrder IN ([1], [2], [3], [4])) piv;
我明白了:
ProductID Age1 Age2 age3 age4
--------- ---- ---- ---- ----
1 0012 1324 2536 3700
2 QUEE NULL NULL NULL --> HIVE Vanished
我得到的另一种方法是运行下面的查询:
with vFX1 as (Select Age Age1 from Product
where ProductID = 1 and EvolutionOrder = 1)
, vFX2 as (Select Age Age2 from Product
where ProductID = 1 and EvolutionOrder = 2)
, vFX3 as (Select Age Age3 from Product
where ProductID = 1 and EvolutionOrder = 3)
, vFX4 as (Select Age Age4 from Product
where ProductID = 1 and EvolutionOrder = 4)
, vFX5 as (Select Age Age5 from Product
where ProductID = 1 and EvolutionOrder = 5)
select * from vFX1 Left outer Join vFX2 on 1=1
Left outer Join vFX3 on 1=1
Left outer Join vFX4 on 1=1
Left outer Join vFX5 on 1=1
我不喜欢这个解决方案,因为我需要在同一张表上运行很多次,并且还要清除数据。
我怎么能只用一个 ANSI sql 最智能的查询来做到这一点?
下面是创建数据的脚本:
Create table Product
(ProductID Int
,EvolutionOrder Int
,Age Char(4))
Insert into Product values (1,1,'0012');
Insert into Product values (1,2,'1324');
Insert into Product values (1,3,'2536');
Insert into Product values (1,4,'3700');
Insert into Product values (2,1,'QUEE');
Insert into Product values (2,1,'HIVE');
谢谢
注意:因得到帮助而更新
【问题讨论】:
-
感谢@PawelDyl 和@techspider 的即时响应。我真的没有意识到对字符串使用 MAX 或 MIN 组函数。很棒的提示...不幸的是,当我使用组函数时,我可以正常工作有进化层次的动物..但是当我没有进化层次时,它就行不通了。为 Bee 插入记录: 插入产品值 (2,1,'QUEE') 插入产品值 (2,1,'HIVE') 运行查询.. ProductID Age1 Age2 age3 age4 --------- ---- ---- ---- ---- 1 0012 1324 2536 3700 2 QUEE NULL NULL NULL --> HIVE 消失
-
注意:由于@PawelDyl 和@techspider 的帮助,我更新了文本,希望文本更清晰
标签: mysql sql sql-server oracle ansi