I have 3 tables like below:
Product Table
PID CODE
1 a
2 b
Price Table
PrID PID(ID from Product) UMID(ID from UOM) Price
1 1 1 10
2 1 2 5
3 2 1 10
UOM Table
UMID UM_NAME UM_RATE
1 BOX 5
2 PC 10
I want to get product with price and that uom which has min UM_RATE. For example, product CODE a has two prices but the prices are different for different uom. What I want to achieve is,
PID CODE PrID Price UM_NAME UM_RATE
1 a 1 10 BOX 5
2 b 3 10 BOX 5
Because box has min UM_RATE. I have tried the following query,
SELECT product.*, price.*, uom.um_name, MIN(uom.um_rate)
FROM product
LEFT JOIN price ON price.pid = product.pid
LEFT JOIN uom ON price.umid = uom.umid
GROUP BY product.pid
This query gives me the following result,
PID CODE PrID Price UM_NAME UM_RATE
1 a 1 10 PC 5
2 b 3 10 BOX 5
which is wrong. because UM_RATE 5 is belong to UM_NAME box.
How can I get the expected result?
use join and corelated subquery
select * from (select distinct p.*,u.UMID as uid,
u.UM_NAME,u.UM_RATE,pr.code from
price p join uom u on p.UMID=u.UMID
join product pr on pr.PID=p.PID
) a
where a.UM_RATE =(select min(UM_RATE) from
(select p.*,u.UMID as uid,
u.UM_NAME,u.UM_RATE,pr.code from
price p join uom u on p.UMID=u.UMID
join product pr on pr.PID=p.PID) t where t.code=a.code
)
prid PID UMID price uid UM_NAME UM_RATE code
1 1 1 10 1 Box 5 a
3 2 1 10 1 Box 5 b
Related
I am trying to write a query that can get result from multiple tables:
Item Category
ic_id
ic_name
1
PC
2
Laptop
3
Printer
4
Scanner
Items
i_id
i_category
i_name
1
1
Dell Optiplex
2
2
HP Probook 450
3
2
HP Probook650
4
3
HP Laserjet 402dn
5
1
Dell MT3030
Item Sale
is_id
is_date
is_customer
1
15-03-2021
John
2
16-03-2022
Jimmy
3
18-03-2023
Mark
Item Sale Detail
isd_id
isd_sale_id
isd_item
1
1
2
2
1
3
3
2
4
4
3
1
5
3
5
6
3
4
Is it possible to get combined result of GROUP CONCAT with COUNT in 1 query? Please guide me to write the query to get the desired result, I want the query result as shown below, Thanks:
Desired Result
is_id
is_date
is_customer
items
1
15-03-2021
John
Laptop: 3
2
16-03-2022
Jimmy
Printer: 1
3
18-03-2023
Mark
PC:2 , Printer: 1
If I understand correctly, this is just join but with two levels of aggregation:
select its.*, ic.categories
from item_sale its join
(select isd.isd_sale_id,
group_concat(ic_name, ':', cnt order by cnt desc) as categories
from (select isd.isd_sale_id, ic.ic_name, count(*) as cnt
from item_sale_detail isd join
items i
on isd.isd_item = i.i_id join
item_category ic
on i.i_category = ic.ic_id
group by isd.isd_sale_id, ic.ic_name
) ic
group by isd.isd_sale_id
) ic
on i.is_id = ic.isd_sale_id;
I have three tables
Table 1 : item
id item
5 pen
6 pencil
Table 2: purchase
id item qty item_id
1 pen 10 5
2 pencil 10 6
3 pen 10 5
Table 3: sale
id item qty item_id
1 pen 5 5
I want the result as follows :
Required result :
item purchase sale stock
pen 20 5 15
pencil 10 0 10
You may try below query -
SELECT P.item, P.purchase, IFNULL(S.sale, 0), P.purchase - IFNULL(S.sale, 0) stock
FROM (SELECT item, SUM(qty) purchase
FROM purchase
GROUP BY item) P
LEFT JOIN (SELECT item, SUM(qty) sale
FROM sale
GROUP BY item) S ON P.item = S.item
I have a table order_detail with this informations
id_order id_product
1 2
1 3
2 2
2 4
2 5
2 3
3 2
3 1
4 2
4 3
4 1
4 6
I would like to get most sold products(the first 5 elements) with the current product let's say product id 2
I tried this but it returns one wrong result
SELECT od2.product_id, count(od2.`product_id`) FROM `ps_order_detail` od1
LEFT JOIN ps_order_detail od2 ON od1.id_order = od2.id_order where
od2.product_id != od1.product_id AND od1.product_id=2
The result should be
product_id count(od2.`product_id`)
3 3
4 2
1 1
5 1
6 1
Your query is on the right track. Mostly, you are missing a group by:
select od.product_id, count(od2.id_order) as NumTimesWith2
from ps_order_detail od left join
ps_order_detail od2
on od.id_order = od2.id_order and
od2.product_id = 2
where od.product_id <> 2
group by od.product_id
order by count(od2.id_order) desc;
If you want only one such product, then add a limit 1 to the query.
Also, this assumes that products are not repeated inside orders. If they can be, you can quickly get a better count using count(distinct od.id_order)).
I've the two tables orders
id article amount
1 1 1
2 2 50
and prices
id article min_amount price
1 1 1 42.99
2 2 1 5.06
3 2 5 4.55
4 2 10 4.3
5 2 25 4.05
6 2 100 2.66
The prices tables contains IDs of articles and a minimum amount you would have to buy to get a bulk discount (which would change the price for the order). I would like to join prices into orders, so that the result looks like:
id article amount price
1 1 1 42.99
2 2 50 4.05
The order id 2 is above the minimum (25) to get the article for 4.05€, but still below 100 at which you would get a bigger discount, so the query would to have pick the next-lower value.
I've tried this query so far
SELECT
orders.id AS id,
orders.article,
orders.amount,
prices.price,
(orders.amount - prices.min_amount) AS discount_diff
FROM orders
LEFT JOIN prices ON (prices.article = orders.article) AND (prices.min_amount <= orders.amount)
which gives this result
id article amount price discount_diff
1 1 1 42.99 0
2 2 50 5.06 49
2 2 50 4.55 45
2 2 50 4.3 40
2 2 50 4.05 25
You can find this example on "js"fiddle: http://sqlfiddle.com/#!9/1b2bf/8
The query you need is this:
SELECT orders.id AS id,
orders.article,
orders.amount,
prices.price
FROM orders
INNER JOIN prices ON ( prices.article = orders.article
and prices.min_amount <= orders.amount)
INNER JOIN ( SELECT orders.article,
orders.amount,
min(prices.price) minprince
FROM orders
INNER JOIN prices ON (prices.article = orders.article
AND prices.min_amount <= orders.amount)
GROUP BY orders.article,
orders.amount) b
ON ( prices.article = b.article
AND orders.amount = b.amount
AND prices.price = b.minprince)
See it here: http://sqlfiddle.com/#!9/1b2bf/27
I want to get the sum of Qty,price for same doc_no,Tables are as follow
1) Registration
id name contact
123 abc 123456789
2) bookingReg
PkBkID FkRegID ac_no
1 123 QT123
3) products
PkPro FkBkID pro_name Qty price doc_no
1 1 abc 2 150 1
2 1 def 1 400 2
3 1 ghi 5 500 3
4 1 abc 2 150 1
SELECT ac_no, SUM(Qty) Qty, SUM(Price) Price,doc_no from Register,bookingReg,products where bookingReg.FkRegID=Register.id and
bookingReg.PkBkID= products.FkBkID and (select distint doc_no from products)
You do not need any other table, but only the products table and use the below simple query
select doc_no,sum(Qty), sum(price) from products group by doc_no
having doc_no=1;
Something like this.
SELECT
b.ac_no,
SUM(p.Qty) Qty,
SUM(p.price) Price,
p.doc_no
FROM Registration r
INNER JOIN bookingReg b
ON b.FkRegID=r.id
INNER JOIN products p
ON p.FkBkID=b.PkBkID
GROUP BY p.doc_no;
SQLFiddle: http://sqlfiddle.com/#!9/70ed5/2