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Home/ Questions/Q 1025509
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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T11:56:18+00:00 2026-05-16T11:56:18+00:00

I have a table called order which contains columns id , user_id , price

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I have a table called order which contains columns id, user_id, price and item_id. Item prices aren’t fixed and I would like to select each item’s most expensive order. I want to select user_id, item_id and price in the same query. I tried the following query but it doesn’t return the correct result set.

SELECT user_id, item_id, MAX(price)
FROM order
GROUP BY item_id

Some of the rows returned by this query have the wrong user_id. However, all rows in the result set show each item’s correct highest price.

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  1. Editorial Team
    Editorial Team
    2026-05-16T11:56:19+00:00Added an answer on May 16, 2026 at 11:56 am

    You may want to use a derived table, as follows:

    SELECT    o1.item_id, o1.max_price, o2.user_id user_of_max_price
    FROM      (
                 SELECT item_id, MAX(price) max_price
                 FROM `order`
                 GROUP BY item_id
              ) o1
    JOIN      `order` o2 ON (o2.price = o1.max_price AND o2.item_id = o1.item_id)
    GROUP BY  o1.item_id;
    

    Test case:

    CREATE TABLE `order` (user_id int, item_id int, price decimal(5,2));
    
    INSERT INTO `order` VALUES (1, 1, 10);
    INSERT INTO `order` VALUES (1, 2, 15);
    INSERT INTO `order` VALUES (1, 3, 8);
    INSERT INTO `order` VALUES (2, 1, 20);
    INSERT INTO `order` VALUES (2, 2, 6);
    INSERT INTO `order` VALUES (2, 3, 15);
    INSERT INTO `order` VALUES (3, 1, 18);
    INSERT INTO `order` VALUES (3, 2, 13);
    INSERT INTO `order` VALUES (3, 3, 10);
    

    Result:

    +---------+-----------+-------------------+
    | item_id | max_price | user_of_max_price |
    +---------+-----------+-------------------+
    |       1 |     20.00 |                 2 |
    |       2 |     15.00 |                 1 |
    |       3 |     15.00 |                 2 |
    +---------+-----------+-------------------+
    3 rows in set (0.00 sec)
    
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