Given a table products
pid
name
123
Milk
456
Tea
789
Cake
...
...
and a table sales
stamp
pid
units
14:54
123
3
15:02
123
9
15:09
456
1
15:14
456
1
15:39
456
2
15:48
789
12
...
...
...
How would I be able to get the product(s) with the most sold units?
My goal is to run a SELECT statement that results in, for this example,
pid
name
123
Milk
789
Cake
because the sum of sold units of both those products is 12, the maximum value (greater than 4 for Tea, despite there being more sales for Tea).
I have the following query:
SELECT DISTINCT products.pid, products.name
FROM sales
INNER JOIN products ON sale.pid = products.pid
INNER JOIN (
SELECT pid, SUM(units) as sum_units
FROM sales
GROUP BY pid
) AS total_units ON total_units.pid = sales.pid
WHERE total_units.sum_units IN (
SELECT MAX(sum_units) as max_units
FROM (
SELECT pid, SUM(units) as sum_units
FROM sales
GROUP BY pid
) AS total_units
);
However, this seems very long, confusing, and inefficient, even repeating the sub-query to obtain total_units, so I was wondering if there was a better way to accomplish this.
How can I simplify this? Note that I can't use ORDER BY SUM(units) LIMIT 1 in case there are multiple (i.e., >1) products with the most units sold.
Thank you in advance.
Since Postgres 13 it has supported with ties so your query can be simply this:
select p.pId, p.name
from sales s
join products p on p.pid = s.pid
group by p.pId, p.name
order by Sum(units) desc
fetch first 1 rows with ties;
See demo Fiddle
Solution for your problem:
WITH cte1 AS
(
SELECT s.pid, p.name,
SUM(units) as total_units
FROM sales s
INNER JOIN products p
ON s.pid = p.pid
GROUP BY s.pid, p.name
),
cte2 AS
(
SELECT *,
DENSE_RANK() OVER(ORDER BY total_units DESC) as rn
FROM cte1
)
SELECT pid,name
FROM cte2
WHERE rn = 1
ORDER BY pid;
Working example: db_fiddle link
Related
I have a table that has all Items in the inventory, table called CI
CI has 2 columns (ProdID and Price), and it looks like this
ProdID Price
-------------
A8373 700
G8745 900
J7363 300
K7222 800
Y6311 350
I have another table for documents called Docs with columns DocID, CustID and InvoiceID.
DocID, CustID, InvoiceID
------------------------
1 1001 751
2 1001 752
3 1001 753
4 1002 831
5 1002 832
6 1003 901
7 1003 902
Another table for purchases called Purchase with DocID, ProdID, ProdSize.
In the same invoice, ProdID can be repeated as it can be in different sizes
DocID, ProdID, ProdSize
------------------------
1 A8373 41
1 A8373 42
1 A8373 43
1 G8745 35
1 G8745 36
2 A8373 44
2 A8373 45
Now I want to get the quantity of of products for all customer and invoice, but for highest priced products
So it should be like this
CustID, InvoiceID, ProdID, Quantity
-----------------------------------
1001 751 A8373 3
1001 751 G8745 2
1001 751 K7222 0
1001 752 A8373 2
1001 752 G8745 0
1001 752 K7222 0
and to show 0 for the products that do not exist in that invoice
I wrote this query, but it is extremely slow. I wonder if there is an easier fast way to get this results
DECLARE #Features AS TABLE
(
CustID varchar(100),
InvoiceID varchar(100)
INDEX IX3 CLUSTERED(CustID, InvoiceID),
ProdID varchar(100),
Quantity bigint
)
INSERT INTO #Features (CustID, InvoiceID, ProdID, Quantity)
SELECT
R.CustID, R.InvoiceID, T.ProdID, COUNT(*) AS Quantity
FROM
Docs R
CROSS JOIN
(SELECT TOP 1000 * FROM CIs ORDER BY Price DESC) C
INNER JOIN
Purchase T ON T.DocID = R.DocID
GROUP BY
R.CustID, R.InvoiceID, T.ProdID
SELECT TOP 100 *
FROM #Features
ORDER BY CustID, InvoiceID, ProdID
SELECT COUNT(*) FROM #Features
UPDATE F
SET Quantity = Cnt
FROM #Features F
INNER JOIN
(SELECT R.CustID, R.InvoiceID, COUNT(*) Cnt
FROM Purchase T
INNER JOIN Docs R ON T.DocID = R.DocID
GROUP BY R.CustID, R.InvoiceID ) X ON F.CustID = X.CustID
AND F.InvoiceID = X.InvoiceID
SELECT * FROM #Features
here is a way to do this. I filter out the 1000 products first and then perform the join as follows..
Also there isn't a need for update query, all could be obtained in the SQL itself.
Filter early join late
with top_product
as (select prodid,price, rownumber() over(order by price desc) as rnk
from ci
)
,invoice_product
as(select d.docid,d.custid,d.invoiceid,p.prodid
from top_product
join docs d
on 1=1
and rnk<=1000
)
select a.CustID, a.InvoiceID, a.ProdID,count(b.prodid) as qty
from invoice_product a
left join purchase b
on a.DocID=b.docid
and a.ProdID=b.prodid
group by a.CustID, a.InvoiceID, a.ProdID
You can use the DENSE_RANK as follows:
select CustID, InvoiceID, ProdID, sum(qty) as qty
from (select d.CustID, d.InvoiceID, ci.ProdID, p.prodid as qty,
dense_rank() over (order by ci.price desc) as rn
from ci cross join docs d
left join purchase p on d.docid = p.docid and ci.prodid = p.prodid) t
where rn <= 1000
group by CustID, InvoiceID, ProdID
Can you please try following SQL Select statement where I used Common Table Expression SQL CTEs
with topproducts as (
select top 3 ProdID from CI order by Price desc
), sales as (
select
CustID,
InvoiceID,
ProdId,
count(ProdId) as cnt
from (
select
d.CustID,
d.InvoiceID,
p.ProdId
from Docs d
inner join Purchase p
on p.DocID = d.DocID
where p.ProdId in (select ProdId from topproducts)
) t1
group by
CustID,
InvoiceID,
ProdId
)
select
t.*, isnull(ss.cnt,0) as Qty
from (
select
distinct s.CustID, s.InvoiceID, p.ProdId
from sales s, topproducts p
) t
left join sales ss on ss.InvoiceID = t.InvoiceID and ss.ProdId = t.ProdId
I have this table:
id sale_id price
-------------------
1 1 100
2 1 200
3 2 50
4 3 50
I want this result:
id sale_id price sum(price by sale_id)
------------------------------------------
1 1 100 300
2 1 200 300
3 2 50 50
4 3 50 50
I tried this:
SELECT id, sale_id, price,
(SELECT sum(price) FROM sale_lines GROUP BY sale_id)
FROM sale_lines
But get the error that subquery returns different number of rows.
How can I do it?
I want all the rows of sale_lines table selecting all fields and adding the sum(price) grouped by sale_id.
You can use window function :
sum(price) over (partition by sale_id) as sum
If you want sub-query then you need to correlate them :
SELECT sl.id, sl.sale_id, sl.price,
(SELECT sum(sll.price)
FROM sale_lines sll
WHERE sl.sale_id = sll.sale_id
)
FROM sale_lines sl;
Don't use GROUP BY in the sub-query, make it a co-related sub-query:
SELECT sl1.id, sl1.sale_id, sl1.price,
(SELECT sum(sl2.price) FROM sale_lines sl2 where sl2.sale_id = sl.sale_id) as total
FROM sale_lines sl1
In addition to other approaches, You can use CROSS APPLY and get the sum.
SELECT id, sale_id,price, Price_Sum
FROM YourTable AS ot
CROSS APPLY
(SELECT SUM(price) AS Price_Sum
FROM YourTable
WHERE sale_id = ot.sale_id);
SELECT t1.*,
total_price
FROM `sale_lines` AS t1
JOIN(SELECT Sum(price) AS total_price,
sale_id
FROM sale_lines
GROUP BY sale_id) AS t2
ON t1.sale_id = t2.sale_id
I have a table with customer IDs, location IDs, and their order values. I need to select the location ID for each customer with the largest spend
Customer | Location | Order $
1 | 1A | 100
1 | 1A | 20
1 | 1B | 100
2 | 2A | 50
2 | 2B | 20
2 | 2B | 50
So I would get
Customer | Location | Order $
1 | 1A | 120
2 | 2B | 70
I tried something like this:
SELECT
a.CUST
,a.LOC
,c.BOOKINGS
FROM (SELECT DISTINCT TOP 1 b.CUST, b.LOC, sum(b.ORDER_VAL) as BOOKINGS
FROM ORDER_TABLE b
GROUP BY b.CUST, b.LOC
ORDER BY BOOKINGS DESC) as c
INNER JOIN ORDER_TABLE a
ON a.CUST = c.CUST
But that just returns the top order.
Just use variables to emulate ROW_NUM()
DEMO
SELECT *
FROM ( SELECT `Customer`, `Location`, SUM(`Order`) as `Order`,
#rn := IF(#customer = `Customer`,
#rn + 1,
IF(#customer := `Customer`, 1, 1)
) as rn
FROM Table1
CROSS JOIN (SELECT #rn := 0, #customer := '') as par
GROUP BY `Customer`, `Location`
ORDER BY `Customer`, SUM(`Order`) DESC
) t
WHERE t.rn = 1
Firs you have to sum the values for each location:
select Customer, Location, Sum(Order) as tot_order
from order_table
group by Customer, Location
then you can get the maximum order with MAX, and the top location with a combination of group_concat that will return all locations, ordered by total desc, and substring_index in order to get only the top one:
select
Customer,
substring_index(
group_concat(Location order by tot_order desc),
',', 1
) as location,
Max(tot_order) as max_order
from (
select Customer, Location, Sum(Order) as tot_order
from order_table
group by Customer, Location
) s
group by Customer
(if there's a tie, two locations with the same top order, this query will return just one)
This seems like an order by using aggregate function problem. Here is my stab at it;
SELECT
c.customer,
c.location,
SUM(`order`) as `order_total`,
(
SELECT
SUM(`order`) as `order_total`
FROM customer cm
WHERE cm.customer = c.customer
GROUP BY location
ORDER BY `order_total` DESC LIMIT 1
) as max_order_amount
FROM customer c
GROUP BY location
HAVING max_order_amount = order_total
Here is the SQL fiddle. http://sqlfiddle.com/#!9/2ac0d1/1
This is how I'd handle it (maybe not the best method?) - I wrote it using a CTE first, only to see that MySQL doesn't support CTEs, then switched to writing the same subquery twice:
SELECT B.Customer, C.Location, B.MaxOrderTotal
FROM
(
SELECT A.Customer, MAX(A.OrderTotal) AS MaxOrderTotal
FROM
(
SELECT Customer, Location, SUM(`Order`) AS OrderTotal
FROM Table1
GROUP BY Customer, Location
) AS A
GROUP BY A.Customer
) AS B INNER JOIN
(
SELECT Customer, Location, SUM(`Order`) AS OrderTotal
FROM Table1
GROUP BY Customer, Location
) AS C ON B.Customer = C.Customer AND B.MaxOrderTotal = C.OrderTotal;
Edit: used the table structure provided
This solution will provide multiple rows in the event of a tie.
SQL fiddle for this solution
How about:
select a.*
from (
select customer, location, SUM(val) as s
from orders
group by customer, location
) as a
left join
(
select customer, MAX(b.tot) as t
from (
select customer, location, SUM(val) as tot
from orders
group by customer, location
) as b
group by customer
) as c
on a.customer = c.customer where a.s = c.t;
with
Q_1 as
(
select customer,location, sum(order_$) as order_sum
from cust_order
group by customer,location
order by customer, order_sum desc
),
Q_2 as
(
select customer,max(order_sum) as order_max
from Q_1
group by customer
),
Q_3 as
(
select Q_1.customer,Q_1.location,Q_1.order_sum
from Q_1 inner join Q_2 on Q_1.customer = Q_2.customer and Q_1.order_sum = Q_2.order_max
)
select * from Q_3
Q_1 - selects normal aggregate, Q_2 - selects max(aggregate) out of Q_1 and Q_3 selects customer,location, sum(order) from Q_1 which matches with Q_2
i have 3 tables
Buyer
buyer_id | name
50 |Joe
60 |Astor
70 |Cloe
Item
item_id | description
1 | iphone
2 | ipod
3 | imac
Item_Sold
buyer_id | item_id
50 | 1
50 | 2
60 | 1
60 | 3
70 | 1
70 | 2
70 | 3
I want to find out the description of the best-selling item, in this case:
Best-Selling
iphone
SELECT description AS Best_Selling
FROM item
WHERE item_id = (SELECT item_id FROM( SELECT item_id ,COUNT(*) as num_items
FROM Item_Sold
GROUP BY item_id
ORDER BY num_items DESC
LIMIT 1
)z
)
See SQL FIDDLE
This answer is not totally correct . If two items have same sale amount then it will return only one of them.
This query will give all item id decription whose sale is maximum i.e. when two or more item id have equal amount of sale....
;WITH CTE1(Id,Counts) as
(
SelectItem_Id,COUNT(buyer_id ) AS C FROM T GROUP BY ID
)
Select Item.Description from CTE1 A inner join
(Select MAX(Counts) AS MaxCount FROM CTE1 ) b on a.Counts=b.MaxCount
inner join
Item on Item.Item_Id=a.Item_Id
If Common table Expression Not Work you Can Try Like this....
Select Item.Description from (Select Item_Id,COUNT(buyer_id ) AS Counts FROM item_sold GROUP BY Item_Id) A inner join
(Select MAX(Counts) AS MaxCount FROM
(
Select Item_Id,COUNT(buyer_id) AS Counts
FROM item_sold GROUP BY Item_Id) v
) b
on a.Counts=b.MaxCount
inner join
Item on Item.Item_Id=a.Item_Id
SQL Fiddle Demo
Here Is the Liknk of Fiddle the case i m talknig about....it give all description who have maximun sale....
Case Sql Fiddle Demo
select description as "Best-Selling"
from (select a.item_id, b.description, count(*) count
from Item_Sold a,Items b
where a.item_id = b.item_id
group by a.item_id ) temp
where count = (select max(count)
from (select a.item_id, count(*) count
from Item_Sold a,Items b
where a.item_id = b.item_id
group by a.item_id ) temp1)
pl-sql:
select description as "Best-Selling"
from item
where item_id in (
select item_id from (
select item_id, count(item_id) as item_count
from item_sold
group by item_id)
where item_count = (
select max(item_count) from (
select item_id, count(item_id) as item_count
from item_sold
group by item_id)
)
)
I have this query
select rep, companyname,count(companyname) as [count], Commission from customers
group by repid,companyname,Commission
It returns lets say
rep companyname count commision
1 ABC 1 10%
2 XYZ 2 10%
2 XYZ 1 20%
3 JKL 4 10%
3 JKL 1 30%
Desire output is
rep companyname count commision
2 XYZ 2 10%
2 XYZ 1 20%
3 JKL 4 10%
3 JKL 1 30%
I would like to have an output so that I show the only those companies who are repeated twice or more in the result. How do I modify the above query. I made the query simple (remove where clause).
I would use a subquery to get the non-unique company names like this.
select rep, companyname,count(companyname) as [count], Commission from customers
where companyname in (
select c1.companyname from customers c1
group by c1.companyname having count(*) >= 2
)
group by repid,companyname,Commission
I think this will match your requirements. I couldn't think of a way of doing it without some sort of sub query or CTE:
select
rep, companyname, [count], commission
from (
select
rep, companyname,count(companyname) as [count], Commission,
count(1) over (PARTITION by companyname) as [companycount]
from customers
group by repid,companyname,Commission
) sub
where companycount > 1
select rep
, companyname
, count(*) as [count] --- equivalent to count(companyname)
, Commission
from customers c
where exists
( select *
from customers c2
where c2.companyname = c.companyname
and ( c2.repid <> c.repid
or c2.Commission <> c.Commission
)
and ( extra-conditions )
)
and ( extra-conditions )
group by repid, companyname, Commission
Add a HAVING clause after your group by, e.g. HAVING count(companyName) > 1
You're looking for the HAVING keyword, which is essentially a WHERE condition for your GROUP BY
select rep, companyname,count(companyname) as [count], Commission from customers
group by repid,companyname,Commission
having count(companyname) > 1