Reputation: 198
I have 3 tables
price_history (Primary: id)
+----+------------+------+---------+-------+------------+
| id | id_product | sku | id_shop | price | date_add |
+----+------------+------+---------+-------+------------+
| 1 | 11 | 101 | 1001 | 10 | 2017-07-01 |
| 2 | 12 | 101 | 1002 | 15 | 2017-07-01 |
| 3 | 13 | 101 | 1003 | 20 | 2017-07-01 |
| 4 | 11 | 101 | 1001 | 11 | 2017-07-02 | <-- lowest latest
| 5 | 14 | 102 | 1001 | 45 | 2017-07-01 |
| 6 | 15 | 102 | 1002 | 45 | 2017-07-01 |
| 7 | 16 | 102 | 1003 | 45 | 2017-07-01 | <-- shop 1003 is the lowest,
latest among shops and should not be display, because the shop monitored is 1001
| 8 | 15 | 102 | 1002 | 60 | 2017-07-02 |
| 9 | 14 | 102 | 1001 | 55 | 2017-07-02 |
|10 | 17 | 103 | 1001 | 90 | 2017-07-01 |
|11 | 18 | 103 | 1002 | 90 | 2017-07-01 |
|12 | 19 | 103 | 1003 | 90 | 2017-07-01 |
|13 | 17 | 103 | 1001 | 100 | 2017-07-02 | <-- lowest latest
|14 | 18 | 103 | 1002 | 100 | 2017-07-02 |
|15 | 19 | 103 | 1003 | 100 | 2017-07-02 |
+----+------------+------+---------+-------+------------+
product (primary: id_product)
+------------+---- ---+-----+--------------+---------+
| id_product | active | sku | product_name | id_shop |
+------------+--------+-----+--------------+---------+
| 11 | 1 | 101 | Red | 1001 |
| 12 | 1 | 101 | A bit red | 1002 |
| 13 | 1 | 101 | Very red0 | 1003 |
| 14 | 1 | 102 | Blue | 1001 |
| 15 | 1 | 102 | A bit blue | 1002 |
| 16 | 1 | 102 | Very blue | 1003 |
| 17 | 1 | 103 | Green | 1001 |
| 18 | 1 | 103 | A bit green | 1002 |
| 19 | 1 | 103 | Very green | 1003 |
| 20 | 0 | 104 | Discontinued | 1001 |
| 21 | 0 | 104 | Out of stock | 1002 |
| 22 | 0 | 104 | Varnish | 1003 |
+------------+--------+-----+--------------+---------+
shop (primary: id_shop)
+---------+--------+
| id_shop | name |
+---------+--------+
| 1001 | Shop A |
| 1002 | Shop B |
| 1003 | SHop C |
+---------+--------+
Every shop has a different product name, but has international number (sku).
ID shop to monitor: 1001 (Shop A)
Already search in stackoverflow, but i cannot get the right one. How can i get the lowest and latest price per sku. Im still newbie that not understand subselect
This what i have done so far
SELECT pph.id, s.name, h2.price, h2.sku
FROM (
SELECT MAX(h.id) max_id, MIN(h.price) min_price, h.id, h.id_shop
FROM price h
GROUP BY sku
) pph
LEFT JOIN price h2 ON (h2.id = max_id)
LEFT JOIN shop s ON (s.id_shop = pph.id_shop)
Then in the last i need only show the monitored shop, 'Shop A'
Expected result:
+----+------------+------+---------+-------+
| id | id_product | sku | id_shop | price |
+----+------------+------+---------+-------+
| 4 | 11 | 101 | 1001 | 11 |
|13 | 17 | 103 | 1001 | 100 |
+----+------------+------+---------+-------+
Lowest price for sku 102 is shop 1003, so we dont need to show them.
JSFiddle http://sqlfiddle.com/#!9/ba3a2
Thank you
Need help, still not found the solution
Upvotes: 0
Views: 79
Reputation: 39467
You can simply achieve this using a correlated subquery with limit clause:
select *
from price_history h
where id_shop = 1001
and id = (select id
from price_history p
where h.sku = p.sku
and h.id_shop = p.id_shop
order by date_add desc, price asc
limit 1
);
The above is simple solution but may suffer from performance issues for larger dataset.
You can use the below join based solution then:
select *
from price_history
join (
select sku, date_add, min(price) as price
from price_history
join (
select sku, max(date_add) as date_add
from price_history
where id_shop = 1001
group by sku
) t using (sku, date_add)
where id_shop = 1001
group by sku, date_add
) t using (sku, date_add, price)
where id_shop = 1001
or
select *
from price_history
join (
select sku, date_add, id_shop, min(price) as price
from price_history
join (
select sku, id_shop, max(date_add) as date_add
from price_history
where id_shop = 1001
group by sku, id_shop
) t using (sku, date_add, id_shop)
group by sku, date_add, id_shop
) t using (sku, date_add, price, id_shop);
Upvotes: 1
Reputation: 30809
This will give you max date_add
per sku for a shop
SELECT sku, MAX(date_add)
FROM price_history
WHERE id_shop = 1001
GROUP BY sku;
You can then wrap this into another query and JOIN
with price_history
again, to get the result, e.g.:
SELECT ph.id, ph.id_product, ph.sku, ph.id_shop, ph.price
FROM proce_history ph JOIN (
SELECT sku, MAX(date_add) AS `date_add`
FROM price_history
WHERE id_shop = 1001
GROUP BY sku
) a ON ph.sku = a.sku AND ph.date_add = a.date_add;
Upvotes: 0