【问题标题】:MySQL get the row with smallest column value for each product group [duplicate]MySQL获取每个产品组的列值最小的行[重复]
【发布时间】:2019-11-20 08:22:27
【问题描述】:

我有表 productsproduct_prices。就这样;

products:
+-------------+----------+
| products_id | title    |
+-------------+----------+
|           1 | phone    |
|           2 | computer |
|           3 | keyboard |
+-------------+----------+


product_prices:
+-------------------+-----------+-------+-------------+
| product_prices_id | productid | price | minquantity |
+-------------------+-----------+-------+-------------+
|                 1 |         1 |   500 |           1 |
|                 2 |         1 |   450 |           2 |
|                 3 |         2 |   800 |           1 |
|                 4 |         2 |   700 |           2 |
|                 5 |         3 |    15 |           1 |
|                 6 |         3 |    10 |           3 |
|                 7 |         3 |     7 |          10 |
+-------------------+-----------+-------+-------------+

因此根据数量有多种价格。

我的 SQL 查询是这样的:

SELECT
   * 
FROM
   products product 
   INNER JOIN
      product_prices price 
      ON price.productid = product.products_id 
GROUP BY
   product.products_id 
ORDER BY
   price.price;

我收到此错误:

Expression #3 of SELECT list is not in GROUP BY clause and contains nonaggregated column 'price.product_prices_id' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by

没有 GROUP BY 的结果是:

+-------------+----------+-------------------+-----------+-------+-------------+
| products_id | title    | product_prices_id | productid | price | minquantity |
+-------------+----------+-------------------+-----------+-------+-------------+
|           3 | keyboard |                 7 |         3 |     7 |          10 |
|           3 | keyboard |                 6 |         3 |    10 |           3 |
|           3 | keyboard |                 5 |         3 |    15 |           1 |
|           1 | phone    |                 2 |         1 |   450 |           2 |
|           1 | phone    |                 1 |         1 |   500 |           1 |
|           2 | computer |                 4 |         2 |   700 |           2 |
|           2 | computer |                 3 |         2 |   800 |           1 |
+-------------+----------+-------------------+-----------+-------+-------------+

我要做的是,获取价格最便宜的行,按products_id分组;

+-------------+----------+-------------------+-----------+-------+-------------+
| products_id | title    | product_prices_id | productid | price | minquantity |
+-------------+----------+-------------------+-----------+-------+-------------+
|           3 | keyboard |                 7 |         3 |     7 |          10 |
|           1 | phone    |                 2 |         1 |   450 |           2 |
|           2 | computer |                 4 |         2 |   700 |           2 |
+-------------+----------+-------------------+-----------+-------+-------------+

我想我需要使用 MIN() 但我尝试了几件事,但没有奏效。我能做的最接近的是按价格订购,限制为 1 个,但它只返回 1 个产品。
有什么想法吗?

如果有帮助,这里是我使用的示例数据库的转储:https://transfer.sh/dTvY4/test.sql

【问题讨论】:

    标签: mysql sql group-by aggregate-functions greatest-n-per-group


    【解决方案1】:

    您首先需要了解每种产品的最低价格是多少。为此,您使用 MIN-aggregate 函数。当您选择具有聚合函数的普通列时,您需要在GROUP BY-clause 中列出普通列。

    一旦您知道每种产品的最低价格,您只需从两个表的连接中选择这些行:

    select 
     p.products_id, 
     p.title, 
     pr.product_prices_id, 
     pr.productid, 
     pr.price, 
     pr.minquantity
    from product_prices pr
      join products p on p.products_id=pr.productid
      join (
        select productid, min(price) as minprice
        from product_prices
        group by productid
      ) mpr on mpr.productid=pr.productid and mpr.minprice=pr.price
    

    SQLFiddle

    在您的查询中,您尝试使用 GROUP BY-clause 而不使用聚合函数,因此会出现错误。此外,您缺少 MIN 逻辑。

    与其将文件链接到问题,不如为它创建一个 SQLFiddle / db-fiddle。这样就更容易回答问题了。

    【讨论】:

      猜你喜欢
      • 2023-01-21
      • 2014-12-16
      • 1970-01-01
      • 1970-01-01
      • 2021-11-30
      • 2022-10-24
      • 2020-11-01
      • 2013-10-13
      • 2016-11-23
      相关资源
      最近更新 更多