I'm trying to execute a SQL query which requires grouping by MAX of SUM calculation (in PostgreSQL).
I found here some solutions which uses sub-querying but I need the solution without it (if it's possible).
Query:
SELECT "Festival".title,
"Musician".aname,
SUM("Musician".salary * "Musician".percentage / 100) AS "agent_total_profit"
FROM "Festival"
INNER JOIN "Booked"
ON "Booked".title = "Festival".title
INNER JOIN "Musician"
ON "Musician".id = "Booked".id
GROUP BY "Festival".title,
"Musician".aname
ORDER BY "Festival".title
Result:
the result is not as expected, I want to find for each festival title, the musician aname with the max agent_total_profit.
Desired result:
Thanks in advance.
Use DISTINCT ON:
SELECT DISTINCT ON (f.title) f.title, m.aname,
SUM(m.salary * m.percentage / 100) AS "agent_total_profit"
FROM "Festival" f INNER JOIN
"Booked" b
ON b.title = f.title INNER JOIN
"Musician" m
ON m.id = b.id
GROUP BY f.title, m.aname
ORDER BY f.title, "agent_total_profit" DESC;
The more traditional SQL method uses row_number():
SELECT f.*
FROM (SELECT f.title, m.aname,
SUM(m.salary * m.percentage / 100) AS "agent_total_profit",
ROW_NUMBER() OVER (PARTITION BY f.title ORDER BY SUM(m.salary * m.percentage / 100) DESC) as seqnum
FROM "Festival" f INNER JOIN
"Booked" b
ON b.title = f.title INNER JOIN
"Musician" m
ON m.id = b.id
GROUP BY f.title, m.aname
) f
WHERE seqnum = 1;
ORDER BY f.title, "agent_total_profit" DESC;
Related
For each country, report the movie genre with the highest average ratings, and I am missing only one step that i cant figure it out.
Here's my current code:
SELECT c.code AS c_CODE, menres.genre AS GENRE, AVG(RATE) as AVERAGE_rate,MAX(RATE) AS MAXIMUM_rate, MIN(RATE) AS MINIMUM_rate from movirates
leftJOIN movgenres ON movgenres.movieid = movratings.movieid
left JOIN users ON users.userid = movrates.userid
left JOIN c ON c.code = users.city
LEFT JOIN menres ON movenres.genreid = menres.code
GROUP BY menres.genre , c.code
order by c.code asc, avg(rate) desc, menres.genre desc ;
You can use the ROW_NUMBER window function to assign a unique rank to each of your rows:
partitioned by country code
ordered by descendent average rating
Once you get this ranking, you may want to select all those rows which have the highest average rating (which are the same having the ranking equal to 1).
WITH cte AS (
SELECT c.code AS COUNTRY_CODE,
mg.genre AS GENRE,
AVG(rating) AS AVERAGE_RATING,
MAX(rating) AS MAXIMUM_RATING,
MIN(RATING) AS MINIMUM_RATING
FROM moviesratings r
INNER JOIN moviesgenres g ON g.movieid = r.movieid
INNER JOIN users u ON u.userid = r.userid
INNER JOIN countries c ON c.code = u.country
LEFT JOIN mGenres mg ON mg.code = g.genreid
GROUP BY mg.genre,
c.code
ORDER BY c.code,
AVG(rating) DESC,
mg.genre DESC;
)
SELECT *
FROM (SELECT *,
ROW_NUMBER() OVER(
PARTITION BY COUNTRY_CODE,
ORDER BY AVERAGE_RATING) AS rn
FROM cte) ranked_averages
WHERE rn = 1
Note: The code inside the common table expression is equivalent to yours. If you're willing to share your input tables, I may even suggest an improved query.
You should use window function in this case by using rank() then select the first rank only.
with mov_rates(c.code, genre, average, max, min)
as.
select c.code c_code,
e.genre genre,
avg (rate) avg
max (rate) max
min (rate) min
from movrates a
LEFT join movge.nres b on a.movieid = b.movieid
LEFT join users c on a.userid = c.user
LEFT join countr.ies d on c.code = d.code
left join mGenres e on b.genreid = e.code
group by d.country_code, e.x
),
rategenre (rank, c_code, genre, avgrate, max, min)
as
(
select rank() over (partition by c.c order by avgrates asc) rank,
country code,
genre,
average_r.ating,
maximum_rating,
minimum_.ating
from movrate \\just practicing on something
)
selec.t 2
from genre
where rank = 5
Reference:
OVER Clause
Is there a way to distinct multiple columns? When I tried to do it with p.name it says that there is an error that occurred.
SELECT DISTINCT( V.NAME ),
POH.status,
poh.shipdate,
pod.orderqty,
POD.receivedqty,
POD.rejectedqty,
p.NAME
FROM purchasing.vendor v
INNER JOIN purchasing.productvendor pv
ON v.businessentityid = pv.businessentityid
INNER JOIN production.product p
ON pv.productid = P.productid
INNER JOIN purchasing.purchaseorderdetail POD
ON P.productid = POD.productid
INNER JOIN purchasing.purchaseorderheader POH
ON POD.purchaseorderid = POH.purchaseorderid
ORDER BY v.NAME,
p.NAME;
If you want one row per NAME, then you can use ROW_NUMBER():
with q as (
<your query here with columns renamed so there are no duplicates>
)
select q.*
from (select q.*,
row_number() over (partition by v_name order by v_name) as seqnum
from q
) q
where seqnum = 1;
DISTINCT is not a function, it is an operator and its scope is the entire SELECT clause
(The query formatting is just for emphasizing the point)
SELECT DISTINCT
V.NAME,
POH.status,
poh.shipdate,
pod.orderqty,
POD.receivedqty,
POD.rejectedqty,
p.NAME
FROM purchasing.vendor v
...
That answers the error you get, however, I doubt if this will give you the results you are looking for
My SQL query looks like this
SELECT *
FROM categories AS c
LEFT JOIN LATERAL (SELECT i.*
FROM influencer_profiles AS i
WHERE c.id = i.category_id
ORDER BY i.updated_at
LIMIT 2) AS i ON 1 = 1
INNER JOIN users AS u ON i.user_id = u.id
But I also want to count each influencer_profile for category to display how many influencer_profiles in each categories. How can I use COUNT(*) with selecting all columns?
SELECT *
FROM categories AS c
LEFT JOIN LATERAL (SELECT COUNT(*)
FROM influencer_profiles AS i
WHERE c.id = i.category_id
ORDER BY i.updated_at
LIMIT 2) AS i ON 1 = 1
INNER JOIN users AS u ON i.user_id = u.id
This code doesn't work.
Perhaps you just want a window function. I note that you are using left join in one place and the inner join is undoing it.
So, I am thinking:
SELECT c.*, i.*, u.*,
COUNT(*) OVER (PARTITION BY c.id) as category_cnt
FROM categories c LEFT JOIN LATERAL
(SELECT i.*
FROM influencer_profiles AS i
WHERE c.id = i.category_id
ORDER BY i.updated_at
LIMIT 2
) i
ON 1=1 LEFT JOIN
users u
ON i.user_id = u.id;
I am trying to get the Top 5 rows with the highest number for each category for a specific time interval such as a month. What I currently have returns 5 of the exact same descriptions for a category. I am trying to get the top five. This only happens when I try to sort it based on a time period.
WITH CustomerRank
AS
(SELECT
Count(*) AS "Count",
d.Item,
d.Description,
Name,
i.Type,
d.CreatedOn
FROM [dbo].i,
d,
dbo.b,
as,
a,
c
WHERE d.Inspection_Id = i.Id AND d.Inspection_Id = i.Id AND
b.Id = i.BuildingPart_Id AND b.as= Assessments.Id
AND as.Application_Id = a.Id AND a.Customer_Id = Customers.Id
group by d.Item, d.Description, Name, i.Type, d.CreatedOn
)
select * from (
SELECT "Count",Item,Description,Type,ROW_NUMBER() Over (PARTITION BY Name order by "Count" desc) AS RowNum, Name, CreatedOn
FROM CustomerRank
where CreatedOn > '2017-1-1 00:00:00'
) s where RowNum <6
Cheers
Try something like this:
WITH CustomerRank
AS
(SELECT
Count(*) AS "Count",
d.Item, d.Description, Name, i.Type
FROM dbo.Inspection i
INNER JOIN dbo.Details d ON d.Inspection_Id = i.Id
INNER JOIN dbo.BuildingParts b ON b.Id = i.BuildingPart_Id
INNER JOIN dbo.Assessments a ON a.Id = b.AssessmentId
INNER JOIN dbo.Applications ap ON ap.Id = a.Application_Id
INNER JOIN dbo.Customers c ON c.Id = a.Customer_Id
where CreatedOn > '2017-1-1 00:00:00'
group by d.Item, d.Description, Name, i.Type
)
select * from (
SELECT "Count",Item,Description,Type,ROW_NUMBER() Over (PARTITION BY Name order by "Count" desc) AS RowNum, Name
FROM CustomerRank
) s where RowNum <6
The idea is that the CreatedOn column must be removed from the GROUP BY clause (because if you keep it there, we would get a different row for each value of the CreatedOn column).
Also, it's better to use JOIN-s and aliases for each table.
I am using SQL Oracle, and I want to change my query using MAX function and not ROWNUM.
SELECT *
FROM (SELECT a.name, price.price
FROM price
LEFT JOIN a
ON a.id = price.tk_a
ORDER BY price.price DESC)
WHERE ROWNUM <=1;
Any help or suggestions please?
You can use the MAX aggregate function with KEEP ( DENSE_RANK FIRST ORDER BY ... ) to get the maximum of another column:
SELECT MAX( a.name ) KEEP ( DENSE_RANK FIRST ORDER BY p.price DESC ) AS name,
MAX( p.price ) AS price
FROM a
LEFT OUTER JOIN price p
ON ( a.id = p.tk_a );
Try this:
select a1.name, p1.price
from price p1
JOIN a a1 ON a1.id = p1.tk_a
JOIN (SELECT MAX(p.price)
FROM price p) C on p1.price = c.price
MAX and group by
SELECT a.name, MAX(p.price)
FROM price
LEFT JOIN a ON a.id = p.tk_a
GROUP BY a.name
ORDER BY p.price DESC
If you just want the single MAX price then use this
SELECT MAX(p.price), (SELECT MAX(b.name) FROM a b LEFT JOIN price pp ON b.id = pp.tk_a WHERE a.id = b.id AND p.price = pp.price) AS name
FROM price
LEFT JOIN a ON a.id = p.tk_a
ORDER BY p.price DESC
Use This
SELECT *
FROM (SELECT a.name,MAX( price.price)
FROM price
LEFT JOIN a
ON a.id = price.tk_a
GROUP BY a.name
ORDER BY price.price DESC)