Select multiple maximum values
I have a table called order
which contains 开发者_如何学JAVAcolumns 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.
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)
Maybe this is a little longer but you gain in readability
SELECT
*
FROM
`order`
JOIN
(
SELECT
item_id,
MAX(price) price
FROM
`order`
GROUP BY
item_id
)
USING(item_id, price);
You need to first get the maximum price for each item id and then join back to order
to get records where the item was ordered for the maximum price. Something like the following query should work. Although, it will return all records with the maximum item prices.
SELECT user_id, item_id, price
FROM order o
JOIN (
SELECT item_id, max(price) max_price
FROM order
GROUP BY item_id
) o2
ON o.item_id = o2.item_id AND o.price = o2.max_price;
This is a per-group-maximum question. There are various approaches to this common problem. On MySQL it's typically faster and simpler to use a null-self-join than anything involving subqueries:
SELECT o0.user_id, o0.item_id, o0.price
FROM order AS o0
LEFT JOIN order AS o1 ON o1.item_id=o0.item_id AND o1.price>o0.price
WHERE o1.user_id IS NULL
ie. “select each row where there exists no other row for the same item with a higher price”.
(If two rows have the same maximum price you will get both returned. What exactly to do in the case of a tie is a general problem for per-group-maximum solutions.)
SELECT user_id, item_id, MAX(price)
FROM order
GROUP BY item_id
The SQL you used is contradictory by GROUP. Once you use GROUP, MYSQL will always select the FIRST user_id, but the HIGHEST price, this is the reason why the user is wrong but the price is right.
You can try to add ORDER BY price DESC
to see what happen, but I did not try in my environment.
Your query groups the rows by item_id
. If you have multiple items with item_id
1, with different a user_id
, it will only pick the first user_id
, not the user_id
with the highest price.
You'll either need to group by item_id AND user_id (showing the max price per item per user), or if you want just the item in the group you'll need to rethink the user_id column. e.g. show the max price for an item and show the LAST user who made a change on the price, OR show the Max price for an item and show the user who MADE the Max Price for the item etc. Have a look at this post for some patterns for doing this.
if you want top 2 from order try this ...
if you want top 3 then just change last condition
where item_rank in (1,2) ;
to where item_rank in (1,2,3) ;
select * from
(select item_id , price
, @curRow % @curNval as item_rank
, @curRow := @curRow + 1 AS row_number
from `order` , (SELECT @curRow := 1 , @curNval := 3 ) r
order by item_id , price desc ) tab where item_rank in (1,2) ;
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