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Shorten a query


Inserting multiple rows in a single SQL query?How to use count and group by at the same select statementHow to query MongoDB with “like”?Trying to retrieve information from table and compile in top 10 ListSQL count by groupSQL Select Single most from a count - ALL opereatorSimplifying MYSQL queryHow to print out the number of records given a conditionHow to use group by in this scenario with case expression?Query to output max movie tickets for each genre






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








0















I have to write a query that would calculate number of tickets purchased consisting only of movie genre of that type. At the end, I have to return movie genre and number of tickets bought for that genre. I have written a query but I was wondering if it can be made shorter and more compact?



Following is the database scheme:



movies(movieId, movieGenre, moviePrice)
tickets(ticketId, ticketDate, customerId)
details(ticketId, movieId, numOfTickets)


Here is my query:



select m.genre, count(*)
from(select t.ticketId, m.genre
from(select d.ticketId
from(select m.genre, t.ticketId
from tickets t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by m.genre, t.ticketId) d
group by d.ticketId
having count(*) = 1) as t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by t.ticketId, m.genre) m
group by m.genre;


This runs on a database so I am only able to post sample output:



comedy 29821
action 27857
rom-com 19663









share|improve this question
























  • Isn't this just supposed to be a SUM(numOfTickets) with a GROUP BY movieGenre over a double join? Don't see the need for COUNT and subqueries.

    – Robby Cornelissen
    Mar 28 at 3:25












  • I haven't tried doing that. Would you mind showing what it would look like as a query? Specifically what you mean by double join in this case? @RobbyCornelissen

    – Jap Fios
    Mar 28 at 3:36












  • From the top of my head: SELECT m.movieGenre, SUM(d.numOfTickets) FROM details d LEFT JOIN tickets t ON d.ticketId = t.ticketId LEFT JOIN movies m ON d.movieId = m.movieId GROUP BY m.movieGenre Haven't done SQL in a while so your mileage may vary...

    – Robby Cornelissen
    Mar 28 at 3:43












  • I tried it but I get a table with millions of entries for each genre so I'm assuming its taking in duplicates as well. Any way to get around that using the query you mentioned?

    – Jap Fios
    Mar 28 at 3:53











  • Could you try an INNER JOIN instead of a LEFT JOIN? After that, I'm all out of ideas...

    – Robby Cornelissen
    Mar 28 at 4:00

















0















I have to write a query that would calculate number of tickets purchased consisting only of movie genre of that type. At the end, I have to return movie genre and number of tickets bought for that genre. I have written a query but I was wondering if it can be made shorter and more compact?



Following is the database scheme:



movies(movieId, movieGenre, moviePrice)
tickets(ticketId, ticketDate, customerId)
details(ticketId, movieId, numOfTickets)


Here is my query:



select m.genre, count(*)
from(select t.ticketId, m.genre
from(select d.ticketId
from(select m.genre, t.ticketId
from tickets t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by m.genre, t.ticketId) d
group by d.ticketId
having count(*) = 1) as t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by t.ticketId, m.genre) m
group by m.genre;


This runs on a database so I am only able to post sample output:



comedy 29821
action 27857
rom-com 19663









share|improve this question
























  • Isn't this just supposed to be a SUM(numOfTickets) with a GROUP BY movieGenre over a double join? Don't see the need for COUNT and subqueries.

    – Robby Cornelissen
    Mar 28 at 3:25












  • I haven't tried doing that. Would you mind showing what it would look like as a query? Specifically what you mean by double join in this case? @RobbyCornelissen

    – Jap Fios
    Mar 28 at 3:36












  • From the top of my head: SELECT m.movieGenre, SUM(d.numOfTickets) FROM details d LEFT JOIN tickets t ON d.ticketId = t.ticketId LEFT JOIN movies m ON d.movieId = m.movieId GROUP BY m.movieGenre Haven't done SQL in a while so your mileage may vary...

    – Robby Cornelissen
    Mar 28 at 3:43












  • I tried it but I get a table with millions of entries for each genre so I'm assuming its taking in duplicates as well. Any way to get around that using the query you mentioned?

    – Jap Fios
    Mar 28 at 3:53











  • Could you try an INNER JOIN instead of a LEFT JOIN? After that, I'm all out of ideas...

    – Robby Cornelissen
    Mar 28 at 4:00













0












0








0


0






I have to write a query that would calculate number of tickets purchased consisting only of movie genre of that type. At the end, I have to return movie genre and number of tickets bought for that genre. I have written a query but I was wondering if it can be made shorter and more compact?



Following is the database scheme:



movies(movieId, movieGenre, moviePrice)
tickets(ticketId, ticketDate, customerId)
details(ticketId, movieId, numOfTickets)


Here is my query:



select m.genre, count(*)
from(select t.ticketId, m.genre
from(select d.ticketId
from(select m.genre, t.ticketId
from tickets t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by m.genre, t.ticketId) d
group by d.ticketId
having count(*) = 1) as t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by t.ticketId, m.genre) m
group by m.genre;


This runs on a database so I am only able to post sample output:



comedy 29821
action 27857
rom-com 19663









share|improve this question














I have to write a query that would calculate number of tickets purchased consisting only of movie genre of that type. At the end, I have to return movie genre and number of tickets bought for that genre. I have written a query but I was wondering if it can be made shorter and more compact?



Following is the database scheme:



movies(movieId, movieGenre, moviePrice)
tickets(ticketId, ticketDate, customerId)
details(ticketId, movieId, numOfTickets)


Here is my query:



select m.genre, count(*)
from(select t.ticketId, m.genre
from(select d.ticketId
from(select m.genre, t.ticketId
from tickets t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by m.genre, t.ticketId) d
group by d.ticketId
having count(*) = 1) as t join details d on t.ticketId =
d.ticketId join movies m on d.movieId = m.movieId
group by t.ticketId, m.genre) m
group by m.genre;


This runs on a database so I am only able to post sample output:



comedy 29821
action 27857
rom-com 19663






sql postgresql






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 28 at 3:19









Jap FiosJap Fios

62 bronze badges




62 bronze badges















  • Isn't this just supposed to be a SUM(numOfTickets) with a GROUP BY movieGenre over a double join? Don't see the need for COUNT and subqueries.

    – Robby Cornelissen
    Mar 28 at 3:25












  • I haven't tried doing that. Would you mind showing what it would look like as a query? Specifically what you mean by double join in this case? @RobbyCornelissen

    – Jap Fios
    Mar 28 at 3:36












  • From the top of my head: SELECT m.movieGenre, SUM(d.numOfTickets) FROM details d LEFT JOIN tickets t ON d.ticketId = t.ticketId LEFT JOIN movies m ON d.movieId = m.movieId GROUP BY m.movieGenre Haven't done SQL in a while so your mileage may vary...

    – Robby Cornelissen
    Mar 28 at 3:43












  • I tried it but I get a table with millions of entries for each genre so I'm assuming its taking in duplicates as well. Any way to get around that using the query you mentioned?

    – Jap Fios
    Mar 28 at 3:53











  • Could you try an INNER JOIN instead of a LEFT JOIN? After that, I'm all out of ideas...

    – Robby Cornelissen
    Mar 28 at 4:00

















  • Isn't this just supposed to be a SUM(numOfTickets) with a GROUP BY movieGenre over a double join? Don't see the need for COUNT and subqueries.

    – Robby Cornelissen
    Mar 28 at 3:25












  • I haven't tried doing that. Would you mind showing what it would look like as a query? Specifically what you mean by double join in this case? @RobbyCornelissen

    – Jap Fios
    Mar 28 at 3:36












  • From the top of my head: SELECT m.movieGenre, SUM(d.numOfTickets) FROM details d LEFT JOIN tickets t ON d.ticketId = t.ticketId LEFT JOIN movies m ON d.movieId = m.movieId GROUP BY m.movieGenre Haven't done SQL in a while so your mileage may vary...

    – Robby Cornelissen
    Mar 28 at 3:43












  • I tried it but I get a table with millions of entries for each genre so I'm assuming its taking in duplicates as well. Any way to get around that using the query you mentioned?

    – Jap Fios
    Mar 28 at 3:53











  • Could you try an INNER JOIN instead of a LEFT JOIN? After that, I'm all out of ideas...

    – Robby Cornelissen
    Mar 28 at 4:00
















Isn't this just supposed to be a SUM(numOfTickets) with a GROUP BY movieGenre over a double join? Don't see the need for COUNT and subqueries.

– Robby Cornelissen
Mar 28 at 3:25






Isn't this just supposed to be a SUM(numOfTickets) with a GROUP BY movieGenre over a double join? Don't see the need for COUNT and subqueries.

– Robby Cornelissen
Mar 28 at 3:25














I haven't tried doing that. Would you mind showing what it would look like as a query? Specifically what you mean by double join in this case? @RobbyCornelissen

– Jap Fios
Mar 28 at 3:36






I haven't tried doing that. Would you mind showing what it would look like as a query? Specifically what you mean by double join in this case? @RobbyCornelissen

– Jap Fios
Mar 28 at 3:36














From the top of my head: SELECT m.movieGenre, SUM(d.numOfTickets) FROM details d LEFT JOIN tickets t ON d.ticketId = t.ticketId LEFT JOIN movies m ON d.movieId = m.movieId GROUP BY m.movieGenre Haven't done SQL in a while so your mileage may vary...

– Robby Cornelissen
Mar 28 at 3:43






From the top of my head: SELECT m.movieGenre, SUM(d.numOfTickets) FROM details d LEFT JOIN tickets t ON d.ticketId = t.ticketId LEFT JOIN movies m ON d.movieId = m.movieId GROUP BY m.movieGenre Haven't done SQL in a while so your mileage may vary...

– Robby Cornelissen
Mar 28 at 3:43














I tried it but I get a table with millions of entries for each genre so I'm assuming its taking in duplicates as well. Any way to get around that using the query you mentioned?

– Jap Fios
Mar 28 at 3:53





I tried it but I get a table with millions of entries for each genre so I'm assuming its taking in duplicates as well. Any way to get around that using the query you mentioned?

– Jap Fios
Mar 28 at 3:53













Could you try an INNER JOIN instead of a LEFT JOIN? After that, I'm all out of ideas...

– Robby Cornelissen
Mar 28 at 4:00





Could you try an INNER JOIN instead of a LEFT JOIN? After that, I'm all out of ideas...

– Robby Cornelissen
Mar 28 at 4:00












1 Answer
1






active

oldest

votes


















2
















I see no reason to use the table tickets, because the results do not filter or aggregate by ticketDate or customerID. Thus, a shorter sql is



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM details d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
HAVING SumNum > 0
ORDER BY m.moviegenre



added 3/28 am




I am not sure what is meant by Duplicates?? In table = details(ticketId, movieId, numOfTickets) ??

I would expect that ticketId is unique, so what would explain duplicates?

Is the same ticketId being printed twice, repeatedly??



Determine what number of ticketId are duplicates--



SELECT ticketId, count(*) as cnt
FROM details d
GROUP By ticketId
HAVING count(*) > 1


Determine what number of "details" rows are duplicates--



SELECT ticketId, movieId, numOfTickets, count(*) as cnt
FROM details d
GROUP By ticketId, movieId, numOfTickets
HAVING count(*) > 1


Then again, it may be that table = movies(movieId, movieGenre, moviePrice) is the one with duplicates??
Determine what number of movieId are duplicates--



SELECT movieId, count(*) as cnt
FROM movies m
GROUP BY movieId
HAVING count(*) > 1


Remove duplicates from details--



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM
(Select Distinct * From details) d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
ORDER BY m.moviegenre





share|improve this answer



























  • it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

    – Jap Fios
    Mar 28 at 5:06











  • I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

    – Michael Muryn
    Mar 28 at 6:04












  • @JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

    – donPablo
    Mar 28 at 17:21










Your Answer






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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









2
















I see no reason to use the table tickets, because the results do not filter or aggregate by ticketDate or customerID. Thus, a shorter sql is



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM details d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
HAVING SumNum > 0
ORDER BY m.moviegenre



added 3/28 am




I am not sure what is meant by Duplicates?? In table = details(ticketId, movieId, numOfTickets) ??

I would expect that ticketId is unique, so what would explain duplicates?

Is the same ticketId being printed twice, repeatedly??



Determine what number of ticketId are duplicates--



SELECT ticketId, count(*) as cnt
FROM details d
GROUP By ticketId
HAVING count(*) > 1


Determine what number of "details" rows are duplicates--



SELECT ticketId, movieId, numOfTickets, count(*) as cnt
FROM details d
GROUP By ticketId, movieId, numOfTickets
HAVING count(*) > 1


Then again, it may be that table = movies(movieId, movieGenre, moviePrice) is the one with duplicates??
Determine what number of movieId are duplicates--



SELECT movieId, count(*) as cnt
FROM movies m
GROUP BY movieId
HAVING count(*) > 1


Remove duplicates from details--



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM
(Select Distinct * From details) d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
ORDER BY m.moviegenre





share|improve this answer



























  • it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

    – Jap Fios
    Mar 28 at 5:06











  • I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

    – Michael Muryn
    Mar 28 at 6:04












  • @JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

    – donPablo
    Mar 28 at 17:21















2
















I see no reason to use the table tickets, because the results do not filter or aggregate by ticketDate or customerID. Thus, a shorter sql is



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM details d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
HAVING SumNum > 0
ORDER BY m.moviegenre



added 3/28 am




I am not sure what is meant by Duplicates?? In table = details(ticketId, movieId, numOfTickets) ??

I would expect that ticketId is unique, so what would explain duplicates?

Is the same ticketId being printed twice, repeatedly??



Determine what number of ticketId are duplicates--



SELECT ticketId, count(*) as cnt
FROM details d
GROUP By ticketId
HAVING count(*) > 1


Determine what number of "details" rows are duplicates--



SELECT ticketId, movieId, numOfTickets, count(*) as cnt
FROM details d
GROUP By ticketId, movieId, numOfTickets
HAVING count(*) > 1


Then again, it may be that table = movies(movieId, movieGenre, moviePrice) is the one with duplicates??
Determine what number of movieId are duplicates--



SELECT movieId, count(*) as cnt
FROM movies m
GROUP BY movieId
HAVING count(*) > 1


Remove duplicates from details--



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM
(Select Distinct * From details) d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
ORDER BY m.moviegenre





share|improve this answer



























  • it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

    – Jap Fios
    Mar 28 at 5:06











  • I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

    – Michael Muryn
    Mar 28 at 6:04












  • @JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

    – donPablo
    Mar 28 at 17:21













2














2










2









I see no reason to use the table tickets, because the results do not filter or aggregate by ticketDate or customerID. Thus, a shorter sql is



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM details d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
HAVING SumNum > 0
ORDER BY m.moviegenre



added 3/28 am




I am not sure what is meant by Duplicates?? In table = details(ticketId, movieId, numOfTickets) ??

I would expect that ticketId is unique, so what would explain duplicates?

Is the same ticketId being printed twice, repeatedly??



Determine what number of ticketId are duplicates--



SELECT ticketId, count(*) as cnt
FROM details d
GROUP By ticketId
HAVING count(*) > 1


Determine what number of "details" rows are duplicates--



SELECT ticketId, movieId, numOfTickets, count(*) as cnt
FROM details d
GROUP By ticketId, movieId, numOfTickets
HAVING count(*) > 1


Then again, it may be that table = movies(movieId, movieGenre, moviePrice) is the one with duplicates??
Determine what number of movieId are duplicates--



SELECT movieId, count(*) as cnt
FROM movies m
GROUP BY movieId
HAVING count(*) > 1


Remove duplicates from details--



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM
(Select Distinct * From details) d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
ORDER BY m.moviegenre





share|improve this answer















I see no reason to use the table tickets, because the results do not filter or aggregate by ticketDate or customerID. Thus, a shorter sql is



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM details d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
HAVING SumNum > 0
ORDER BY m.moviegenre



added 3/28 am




I am not sure what is meant by Duplicates?? In table = details(ticketId, movieId, numOfTickets) ??

I would expect that ticketId is unique, so what would explain duplicates?

Is the same ticketId being printed twice, repeatedly??



Determine what number of ticketId are duplicates--



SELECT ticketId, count(*) as cnt
FROM details d
GROUP By ticketId
HAVING count(*) > 1


Determine what number of "details" rows are duplicates--



SELECT ticketId, movieId, numOfTickets, count(*) as cnt
FROM details d
GROUP By ticketId, movieId, numOfTickets
HAVING count(*) > 1


Then again, it may be that table = movies(movieId, movieGenre, moviePrice) is the one with duplicates??
Determine what number of movieId are duplicates--



SELECT movieId, count(*) as cnt
FROM movies m
GROUP BY movieId
HAVING count(*) > 1


Remove duplicates from details--



SELECT m.moviegenre,
Sum(d.numoftickets) as SumNum
FROM
(Select Distinct * From details) d
LEFT JOIN movies m
ON d.movieid = m.movieid
GROUP BY m.moviegenre
ORDER BY m.moviegenre






share|improve this answer














share|improve this answer



share|improve this answer








edited Mar 28 at 17:20

























answered Mar 28 at 4:43









donPablodonPablo

1,3821 gold badge8 silver badges15 bronze badges




1,3821 gold badge8 silver badges15 bronze badges















  • it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

    – Jap Fios
    Mar 28 at 5:06











  • I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

    – Michael Muryn
    Mar 28 at 6:04












  • @JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

    – donPablo
    Mar 28 at 17:21

















  • it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

    – Jap Fios
    Mar 28 at 5:06











  • I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

    – Michael Muryn
    Mar 28 at 6:04












  • @JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

    – donPablo
    Mar 28 at 17:21
















it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

– Jap Fios
Mar 28 at 5:06





it gives me the same output as the query mentioned in the comments of the post, so I'm assuming it takes in account duplicates as well. Not sure if I can use distinct in your query

– Jap Fios
Mar 28 at 5:06













I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

– Michael Muryn
Mar 28 at 6:04






I think putting a LEFT JOIN then HAVING sumNumOfTickets > 0 is kind of useless. You might want to have result with 0 on top of it... so I would remove the HAVING personally. PS. I slightly edited your query to respect column name and have a more explicit alias, awaiting approval.

– Michael Muryn
Mar 28 at 6:04














@JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

– donPablo
Mar 28 at 17:21





@JapFios Please share with us some of the output from this query, and explain why resultset is not right. See my additions above. (I have removed the Having per Michael)

– donPablo
Mar 28 at 17:21








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