My tables looks like this
sales
----------------------------------------------------------
id ordernumber quantity category_id price
1 402-9182243-8008368 1 3 22.95
2 406-3666671-8627555 2 3 6.95
3 303-1935495-5532309 1 1 7.95
4 171-5799800-1198702 1 2 159.95
5 403-2398078-4901169 2 2 18.95
category
--------------
id name
1 bikes
2 shoes
3 planes
returns
--------------
id ordernumber quantity costs
1 402-9182243-8008368 1 22.95
2 402-9182243-8008368 5.95 // return shipping fee
And here is my query
SELECT c.name,
SUM(v.quantity) AS sold, # wrong
SUM(s.quantity * s.price) AS turnover, # wrong
SUM(r.costs) AS returncosts,
FROM sales AS s
INNER JOIN categories AS c ON c.id = s.category_id
LEFT JOIN returns AS r ON r.ordernumber = s.ordernumber
GROUP BY c.name
I have some inner joins with aggregate functions.
But I also need "return" with a "Left Join" (I think).
And with Left Join, my aggregate functions dont work anymore.
Left Join adds additional rows. Additional data, for sum().
I need a single query, so every column is sortable later.
I would be happy about any help. Best Regards
It's a semi cartesian product because ordernumber is not unique in returns table.
We can see what's happening if we remove the aggregate functions and return the detail rows.
One possible approach is to pre-aggregate returns in an inline view, so that unique values of ordernumber are returned.
Assuming ordernumber is unique in sales table, then something like this:
SELECT c.name
, SUM(s.quantity) AS sold
, SUM(s.quantity * s.price) AS turnover
, SUM(r.returncosts) AS returncosts
FROM sales s
JOIN categories c
ON c.id = s.category_id
LEFT
JOIN ( SELECT t.ordernumber
, SUM(t.costs) AS returncosts
FROM returns t
GROUP
BY t.ordernumber
) r
ON r.ordernumber = s.ordernumber
GROUP
BY c.name
You can sum the quantity separately from the LEFT JOIN in a sub query as follows:
SELECT t1.name, t1.sold, t1.turnover, SUM(r.costs) AS returncosts
FROM(
SELECT c.name,
SUM(s.quantity) AS sold,
SUM(s.quantity * s.price) AS turnover
FROM sales AS s
INNER JOIN categories AS c ON c.id = s.category_id
GROUP BY name
) t1
LEFT JOIN returns AS r ON r.ordernumber = s.ordernumber
GROUP BY t1.name, t1.sold, t1.turnover
Related
I'm struggling with a query. I need to create a view based on this query.
I've got 3 tables: seller, item, seller_item
Seller table
name
id
S1
1
S2
2
S3
3
Item table
name
id
price
I1
1
50
I2
2
100
Seller_Item table
seller_id
item_id
price
1
1
75
2
1
25
View I'd like to obtain
nome
item
price
S1
I1
75
S1
I2
100
S2
I1
25
S2
I2
100
S3
I1
50
S3
I2
100
Basically, if the item is not present in the table seller_item I want to insert the default value coming from the item table otherwise the one from the seller_item table.
I was able to achieve something similar using WHERE NOT EXIST, but only when I ask for a specific seller id, instead, here, I want to have the list of all the sellers with all items.
Thank you.
----- SOLUTION -----
Thank you for your quick answers.
Just few minutes after I posted the question I found the solution. It was a lot more verbose than what I was able to find thanks your suggestions.
The final query (with all the values I need) is this one:
SELECT
S.name AS name,
I.name AS item,
IF(SI.visible = 0, SI.visible, I.visible) AS visible,
IF(COALESCE(SI.price, 0) = 0, I.price, SI.price) AS price FROM seller S JOIN item I LEFT JOIN seller_item SI ON S.id = SI.seller_id AND I.id = SI.item_id ORDER BY 1, 2
Thank you again!
You can use CROSS JOIN and COALESCE function.
The query is as follows:
SELECT
s.name nome, i.name item, COALESCE(si.price, i.price) price
FROM
Seller s CROSS JOIN Item i
LEFT OUTER JOIN Seller_Item si
ON s.id=seller_id AND i.id=item_id
ORDER BY 1, 2
Fiddle
You could try using a corrso join for get all the combination between item and seler and the join the seller:iem ..
when the join match use the seller price otherwise use the imte price
select seller.name
, item.name
case when seller_item.item_id is null then item.price else seller_item.price
from seeler
cross join item
left join seller_item on seller_item.item_id = item.id
Hope the below query is what you are looking for
SELECT
s.name as name,
i.name as item,
IFNULL(si.price, i.price) as price
FROM item i
LEFT JOIN seller_item si ON i.id = si.item_id
LEFT JOIN seller s ON s.id = si.seller_id
I have two tables:
data
id[int] balance[float] category[id]
1 10.2 1
2 0.12 2
3 112.42 1
4 2.3 3
categories
id[int] name[varchar] start_at[float]
1 high 10.5
2 low 105.2
3 mid 0.7
I want to query the categories and join the data. For each categorie I want the sum of all data balances added to the start_at value of categories:
This is where I started with:
select sum(d.balance) as balancesum, c.name
from data d
left join categories c on c.id = d.category
group by d.category
What I want to know is, how can I add the start_at value of categories to the balancesum value?
SELECT c.name, c.start_at + SUM(d.balance) as balancesum
FROM categories c
JOIN data d ON c.id = d.category
GROUP BY c.name, c.start_at
You can use next approach:
select
c.name, balancesum, ifnull(balancesum, 0) + start_at
from categories c
left join (
-- calculate sum of balances per category
-- and join sums to data table
select category, sum(d.balance) as balancesum
from data d
group by d.category
) b on b.category = c.id;
Here you can play with live query
I have this query:
SELECT suppliers.id, count(*)
FROM suppliers
INNER JOIN supplier_addresses
ON suppliers.id = supplier_addresses.supplier_id
GROUP BY suppliers.id;
this gives my a table of supplierId and count of its addresses in the supplier_addresses table. But it only shows me suppliers that have at least 1 address.
I want to see in the result also count of 0 addresses...for example:
supplier.id | count(*)
1 3
2 0
3 1
4 9
in my query I dont see the second record.
Use LEFT JOIN
SELECT suppliers.id, count(supplier_addresses.supplier_id )
FROM suppliers
LEFT JOIN supplier_addresses
ON suppliers.id = supplier_addresses.supplier_id
GROUP BY suppliers.id;
I have 3 tables :
I need to retrieve the name of the sellers that have sold during January AT LEAST one product where the total amount of sales of this said product during January is greater than 1000.
I thought about starting like this :
SELECT c.nom, c.prenom
FROM Commerciaux c
LEFT JOIN Ventes v ON c.id_commerciaux = v.id_commerciaux
WHERE EXISTS (SELECT 1
FROM Produits p, Ventes v
WHERE p.id_produits = v.id_produits
AND MONTH(v.date) = 1
GROUP BY p.nom
HAVING SUM(v.montant) > 200)
AND MONTH(v.date) = 1
GROUP BY c.nom, c.prenom
The SELECT in the WHERE EXISTS seems to be working, but when I have to get link the table Sellers, I don't know how to write it.
Any help would be great !
You can use something like this:
select distinct s.name
from Sellers s,
( -- get all those products that qualify (more than 1000 sales)
select product_id, sum(amount) as total
from Sales
where Month(date) = 1
group by product_id
having total > 1000
) vp,
Sales sa
where
s.id = sa.commercial_id and
sa.product_id = vp.id and
Month(sa.date) = 1
#Leo answer would return only those Sellers that have sold more than 100 of the product in January instead of returning all Sellers that have sold any amount of the product that has been sold in an amount greater than 1000 across the board.
You could use a nested query:
SELECT s.name FROM
(Sellers as s JOIN Sales as sp on sp.commercial_id = s.id) JOIN
Product as p on p.id = sp.product_id
WHERE MONTH(sp.date) = 1 AND YEAR(sp.date) = 2017 AND
(SELECT SUM(Amount) FROM Sales as sp2 WHERE sp2.commercial_id = s.id
AND sp2.product_id = p.id
AND MONTH(sp2.date) = 1 AND YEAR(sp2.date) = 2017) > 1000
First, join the three tables on foreign keys, and then run a nested query to compute amount of the selected seller on a specific product to check to pass the amount limitation.
try this
SELECT C.name
FROM Sales A
JOIN Product B ON A.produit_id = B.id
JOIN Seller C ON A.commercial_id = C.id
WHERE MONTH(A.date) = 1
HAVING SUM(A.nAmount) > 100
GROUP BY C.name
I'm trying to query
number of courses passed,
the earliest course passed
time taken to pass first course, for each student who is not currently expelled.
The tricky part here is 2). I constructed a sub-query by mapping the course table onto itself but restricting matches only to datepassed=min(datepassed). The query appears to work for a very sample, but when I try to apply it to my full data set (which would return ~1 million records) the query takes impossibly long to execute (left it for >2 hours and still wouldn't complete).
Is there a more efficient way to do this? Appreciate all your help!
Query:
SELECT
S.id,
COUNT(C.course) as course_count,
C2.course as first_course,
DATEDIFF(MIN(C.datepassed),S.dateenrolled) as days_to_first
FROM student S
LEFT JOIN course C
ON C.studentid = S.id
LEFT JOIN (SELECT * FROM course GROUP BY studentid HAVING datepassed IN (MIN(datepassed))) C2
ON C2.studentid = C.studentid
WHERE YEAR(S.dateenrolled)=2013
AND U.id NOT IN (SELECT id FROM expelled)
GROUP BY S.id
ORDER BY S.id
Student table
id status dateenrolled
1 graduated 1/1/2013
3 graduated 1/1/2013
Expelled table
id dateexpelled
2 5/1/2013
Course table
studentid course datepassed
1 courseA 5/1/2014
1 courseB 1/1/2014
1 courseC 2/1/2014
1 courseD 3/1/2014
3 courseA 1/1/2014
3 couseB 2/1/2014
3 courseC 3/1/2014
3 courseD 4/1/2014
3 courseE 5/1/2014
SELECT id, course_count, days_to_first, C2.course first_course
FROM (
SELECT S.id, COUNT(C.course) course_count,
DATEDIFF(MIN(datepassed),S.dateenrolled) as days_to_first,
MIN(datepassed) min_datepassed
FROM student S
LEFT JOIN course C ON C.studentid = S.id
WHERE S.dateenrolled BETWEEN '2013-01-01' AND '2013-12-31'
AND S.id NOT IN (SELECT id FROM expelled)
GROUP BY S.id
) t1 LEFT JOIN course C2
ON C2.studentid = t1.id
AND C2.datepassed = t1.min_datepassed
ORDER BY id
I would try something like:
SELECT s.id, f.course,
COALESCE( DATEDIFF( c.first_pass,s.dateenrolled), 0 ) AS days_to_pass,
COALESCE( c.num_courses, 0 ) AS courses
FROM student s
LEFT JOIN
( SELECT studentid, MIN(datepassed) AS first_pass, COUNT(*) AS num_courses
FROM course
GROUP BY studentid ) c
ON s.id = c.studentid
JOIN course f
ON c.studentid = f.studentid AND c.first_pass = f.datepassed
LEFT JOIN expelled e
ON s.id = e.id
WHERE s.dateenrolled BETWEEN '2013-01-01' AND '2013-12-31'
AND e.id IS NULL
This query assumes a student can pass only one course on a given day, otherwise you can get more than one row for a student as its possible to have many first courses.
For performance it would help to have an index on dateenrolled in student table and a composite index on (studentid,datepassed) in courses table.