根据其他列中的条件选择值对-PostgreSQL

时间:2020-03-28 17:05:17

标签: sql postgresql

过去几天,我一直在尝试解决问题,但不知道解决方案是什么...

我有一个如下表:

+--------+-----------+-------+
| ShopID | ArticleID | Price |  
+--------+-----------+-------+
|      1 |         3 |   150 | 
|      1 |         2 |    80 |  
|      3 |         3 |   100 |  
|      4 |         2 |    95 |  
+--------+-----------+-------+

我想选择一对商店ID,同一商品的价格较高。 F.e.看起来应该像这样:

+----------+----------+---------+
| ShopID_1 | ShopID_2 |ArticleID|
+----------+----------+---------+
|        4 |        1 |       2 |
|        1 |        3 |       3 |
+----------+----------+---------+

...显示在ShopID 4中,第2条的价格要比在ShopID 2中高。等等。

到目前为止,我的代码如下:

SELECT ShopID AS ShopID_1, ShopID AS ShopID_2, ArticleID FROM table
WHERE table.ArticleID=table.ArticleID and table.Price > table.Price

但是它没有给出我要搜索的结果。

有人可以帮助我实现这一目标吗?非常感谢。

2 个答案:

答案 0 :(得分:2)

这里的问题是关于计算每个组的前N个项目。

假设您在表sales中具有以下数据。

# select * from sales;
 shopid | articleid | price 
--------+-----------+-------
      1 |         2 |    80
      3 |         3 |   100
      4 |         2 |    95
      1 |         3 |   150
      5 |         3 |    50

通过以下查询,我们可以为每个ArticleId

创建一个分区
select 
  ArticleID, 
  ShopID, 
  Price, 
  row_number() over (partition by ArticleID order by Price desc) as Price_Rank from sales;

这将导致:

 articleid | shopid | price | price_rank 
-----------+--------+-------+------------
         2 |      4 |    95 |          1
         2 |      1 |    80 |          2
         3 |      1 |   150 |          1
         3 |      3 |   100 |          2
         3 |      5 |    50 |          3

然后,我们只需为每个AritcleId选择前2个项目:

select 
  ArticleID,  
  ShopID, 
  Price
from (
  select 
    ArticleID, 
    ShopID, 
    Price, 
    row_number() over (partition by ArticleID order by Price desc) as Price_Rank 
  from sales) sales_rank
where Price_Rank <= 2;

这将导致:

 articleid | shopid | price 
-----------+--------+-------
         2 |      4 |    95
         2 |      1 |    80
         3 |      1 |   150
         3 |      3 |   100

最后,我们可以使用crosstab函数来获取预期的透视图。

select * 
from crosstab(
  'select 
    ArticleID,  
    ShopID, 
    ShopID
  from (
    select 
      ArticleID, 
      ShopID, 
      Price, 
      row_number() over (partition by ArticleID order by Price desc) as Price_Rank 
    from sales) sales_rank
  where Price_Rank <= 2')
AS sales_top_2("ArticleID" INT, "ShopID_1" INT, "ShopID_2" INT);

结果:

 ArticleID | ShopID_1 | ShopID_2 
-----------+----------+----------
         2 |        4 |        1
         3 |        1 |        3

注意: 如果出现错误CREATE EXTENSION tablefunc;,您可能需要致电function crosstab(unknown) does not exist

答案 1 :(得分:0)

此查询应工作:

SELECT t1.ShopID AS ShopID_1, t2.ShopID AS ShopID_2, t1.ArticleID
FROM <yourtable> t1 JOIN
     <yourtable> t2
     ON t1.ArticleID = t2.ArticleID AND t1.Price > t2.Price;

也就是说,您需要一个自联接和适当的表别名。