Selecting rows where a value has changed












1














I have a table that shows a products price on a daily basis. A product has 3 prices: wholesale, volume and clearance.



The table is updated everyday with the current prices, most days no changes occur. However, I want to select the rows where one of the values has changed and I'm struggling for ideas. I've tried a group by but because prices go up and down this won't work.



select date_entered, 
WholeSale,
Volume,
Clearance
FROM pricetable
where product = 'TANGO'
order by date_entered desc


The above selects all the rows from the table for a set product.



How can I make it so only rows where a change to, wholesale or volume or clearance has occurred.



Any help appreciated.










share|improve this question
























  • Tag your question with the database you are using.
    – Gordon Linoff
    Nov 19 '18 at 16:35










  • SQL is a language, you need to tag your question with DBMS your using.eg: SQL Server, MySQL, SQLite ...
    – Sami
    Nov 19 '18 at 16:38












  • Apologies, I've added the tag now.
    – benjiiiii
    Nov 19 '18 at 16:40












  • You can use LAG() to get the prev data and then compare it with the current data. PrevData <> CurrentData
    – Sami
    Nov 19 '18 at 16:42












  • How can I make it so only rows where a change to, wholesale or volume or clearance has occurred a change since when? The previous day?
    – forpas
    Nov 19 '18 at 16:43
















1














I have a table that shows a products price on a daily basis. A product has 3 prices: wholesale, volume and clearance.



The table is updated everyday with the current prices, most days no changes occur. However, I want to select the rows where one of the values has changed and I'm struggling for ideas. I've tried a group by but because prices go up and down this won't work.



select date_entered, 
WholeSale,
Volume,
Clearance
FROM pricetable
where product = 'TANGO'
order by date_entered desc


The above selects all the rows from the table for a set product.



How can I make it so only rows where a change to, wholesale or volume or clearance has occurred.



Any help appreciated.










share|improve this question
























  • Tag your question with the database you are using.
    – Gordon Linoff
    Nov 19 '18 at 16:35










  • SQL is a language, you need to tag your question with DBMS your using.eg: SQL Server, MySQL, SQLite ...
    – Sami
    Nov 19 '18 at 16:38












  • Apologies, I've added the tag now.
    – benjiiiii
    Nov 19 '18 at 16:40












  • You can use LAG() to get the prev data and then compare it with the current data. PrevData <> CurrentData
    – Sami
    Nov 19 '18 at 16:42












  • How can I make it so only rows where a change to, wholesale or volume or clearance has occurred a change since when? The previous day?
    – forpas
    Nov 19 '18 at 16:43














1












1








1







I have a table that shows a products price on a daily basis. A product has 3 prices: wholesale, volume and clearance.



The table is updated everyday with the current prices, most days no changes occur. However, I want to select the rows where one of the values has changed and I'm struggling for ideas. I've tried a group by but because prices go up and down this won't work.



select date_entered, 
WholeSale,
Volume,
Clearance
FROM pricetable
where product = 'TANGO'
order by date_entered desc


The above selects all the rows from the table for a set product.



How can I make it so only rows where a change to, wholesale or volume or clearance has occurred.



Any help appreciated.










share|improve this question















I have a table that shows a products price on a daily basis. A product has 3 prices: wholesale, volume and clearance.



The table is updated everyday with the current prices, most days no changes occur. However, I want to select the rows where one of the values has changed and I'm struggling for ideas. I've tried a group by but because prices go up and down this won't work.



select date_entered, 
WholeSale,
Volume,
Clearance
FROM pricetable
where product = 'TANGO'
order by date_entered desc


The above selects all the rows from the table for a set product.



How can I make it so only rows where a change to, wholesale or volume or clearance has occurred.



Any help appreciated.







sql sql-server tsql sql-server-2008-r2 distinct






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 '18 at 10:11









Salman A

176k66336424




176k66336424










asked Nov 19 '18 at 16:34









benjiiiii

168219




168219












  • Tag your question with the database you are using.
    – Gordon Linoff
    Nov 19 '18 at 16:35










  • SQL is a language, you need to tag your question with DBMS your using.eg: SQL Server, MySQL, SQLite ...
    – Sami
    Nov 19 '18 at 16:38












  • Apologies, I've added the tag now.
    – benjiiiii
    Nov 19 '18 at 16:40












  • You can use LAG() to get the prev data and then compare it with the current data. PrevData <> CurrentData
    – Sami
    Nov 19 '18 at 16:42












  • How can I make it so only rows where a change to, wholesale or volume or clearance has occurred a change since when? The previous day?
    – forpas
    Nov 19 '18 at 16:43


















  • Tag your question with the database you are using.
    – Gordon Linoff
    Nov 19 '18 at 16:35










  • SQL is a language, you need to tag your question with DBMS your using.eg: SQL Server, MySQL, SQLite ...
    – Sami
    Nov 19 '18 at 16:38












  • Apologies, I've added the tag now.
    – benjiiiii
    Nov 19 '18 at 16:40












  • You can use LAG() to get the prev data and then compare it with the current data. PrevData <> CurrentData
    – Sami
    Nov 19 '18 at 16:42












  • How can I make it so only rows where a change to, wholesale or volume or clearance has occurred a change since when? The previous day?
    – forpas
    Nov 19 '18 at 16:43
















Tag your question with the database you are using.
– Gordon Linoff
Nov 19 '18 at 16:35




Tag your question with the database you are using.
– Gordon Linoff
Nov 19 '18 at 16:35












SQL is a language, you need to tag your question with DBMS your using.eg: SQL Server, MySQL, SQLite ...
– Sami
Nov 19 '18 at 16:38






SQL is a language, you need to tag your question with DBMS your using.eg: SQL Server, MySQL, SQLite ...
– Sami
Nov 19 '18 at 16:38














Apologies, I've added the tag now.
– benjiiiii
Nov 19 '18 at 16:40






Apologies, I've added the tag now.
– benjiiiii
Nov 19 '18 at 16:40














You can use LAG() to get the prev data and then compare it with the current data. PrevData <> CurrentData
– Sami
Nov 19 '18 at 16:42






You can use LAG() to get the prev data and then compare it with the current data. PrevData <> CurrentData
– Sami
Nov 19 '18 at 16:42














How can I make it so only rows where a change to, wholesale or volume or clearance has occurred a change since when? The previous day?
– forpas
Nov 19 '18 at 16:43




How can I make it so only rows where a change to, wholesale or volume or clearance has occurred a change since when? The previous day?
– forpas
Nov 19 '18 at 16:43












4 Answers
4






active

oldest

votes


















1














select p1.date_entered, 
p1.WholeSale,
p1.Volume,
p1.Clearance
FROM pricetable p1
CROSS APPLY
--cross apply to most recent prior record
(SELECT TOP 1 *
FROM pricetable p2
where p1.product = p2.product
and p2.date_entered < p1.date_entered
order by p2.date_entered desc) CA
where p1.product = 'TANGO'
and (p1.wholesale != CA.wholesale or p1.volume != CA.volume or p1.clearence != CA.clearence)
order by p1.date_entered desc





share|improve this answer





















  • Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
    – benjiiiii
    Nov 20 '18 at 9:00










  • does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
    – Cato
    Nov 20 '18 at 9:52










  • Pricetable has a unique id called id yes.
    – benjiiiii
    Nov 20 '18 at 9:53










  • Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
    – benjiiiii
    Nov 20 '18 at 10:08



















1














THE QUESTION WAS ORIGINALLY TAGGED SQL-SERVER (with no version). This works for SQL Server 2012+:



Use lag(). Something like this:



select pt.*
from (select pt.*,
lag(wholesale) over (partition by product
order by date_entered) as prev_wholesale,
lag(volume) over (partition by product
order by date_entered) as prev_volume,
lag(clearance) over (partition by clearance
order by date_entered) as prev_clearance
from pricetable
where product = 'TANGO'
) pt
where (prev_wholesale is null or prev_wholesale <> wholesale) or
(prev_volume is null or prev_volume <> volume) or
(prev_clearance is null or prev_clearance <> clearance)
order by date_entered desc;





share|improve this answer























  • I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
    – benjiiiii
    Nov 19 '18 at 16:45












  • I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
    – paparazzo
    Nov 19 '18 at 17:02










  • My apologies for not tagging the version, and thanks for the answer.
    – benjiiiii
    Nov 20 '18 at 10:09



















0














Compare every row's values to the previous day's values:



SELECT * FROM pricetable p WHERE (p.product = 'TANGO') AND
(
(p.WholeSale <> (SELECT WholeSale FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
OR
(p.Volume <> (SELECT Volume FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
OR
(p.Clearance <> (SELECT Clearance FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
)





share|improve this answer





















  • Hi @forpas, this works it's just extremely slow. I'll try speed it up
    – benjiiiii
    Nov 20 '18 at 8:57



















0














You might be able to use ROW_NUMBER() to determine previous rows:



WITH cte AS (
SELECT product, date_entered, wholesale, volume, clearance, ROW_NUMBER() OVER (PARTITION BY product ORDER BY date_entered) AS rn
FROM pricetable
)
SELECT main.*
FROM cte AS main
LEFT JOIN cte AS prev ON prev.product = main.product AND prev.rn = main.rn - 1
WHERE main.rn = 1
OR prev.wholesale <> main.wholesale
OR prev.volume <> main.volume
OR prev.clearance <> main.clearance





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    4 Answers
    4






    active

    oldest

    votes








    4 Answers
    4






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    1














    select p1.date_entered, 
    p1.WholeSale,
    p1.Volume,
    p1.Clearance
    FROM pricetable p1
    CROSS APPLY
    --cross apply to most recent prior record
    (SELECT TOP 1 *
    FROM pricetable p2
    where p1.product = p2.product
    and p2.date_entered < p1.date_entered
    order by p2.date_entered desc) CA
    where p1.product = 'TANGO'
    and (p1.wholesale != CA.wholesale or p1.volume != CA.volume or p1.clearence != CA.clearence)
    order by p1.date_entered desc





    share|improve this answer





















    • Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
      – benjiiiii
      Nov 20 '18 at 9:00










    • does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
      – Cato
      Nov 20 '18 at 9:52










    • Pricetable has a unique id called id yes.
      – benjiiiii
      Nov 20 '18 at 9:53










    • Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
      – benjiiiii
      Nov 20 '18 at 10:08
















    1














    select p1.date_entered, 
    p1.WholeSale,
    p1.Volume,
    p1.Clearance
    FROM pricetable p1
    CROSS APPLY
    --cross apply to most recent prior record
    (SELECT TOP 1 *
    FROM pricetable p2
    where p1.product = p2.product
    and p2.date_entered < p1.date_entered
    order by p2.date_entered desc) CA
    where p1.product = 'TANGO'
    and (p1.wholesale != CA.wholesale or p1.volume != CA.volume or p1.clearence != CA.clearence)
    order by p1.date_entered desc





    share|improve this answer





















    • Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
      – benjiiiii
      Nov 20 '18 at 9:00










    • does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
      – Cato
      Nov 20 '18 at 9:52










    • Pricetable has a unique id called id yes.
      – benjiiiii
      Nov 20 '18 at 9:53










    • Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
      – benjiiiii
      Nov 20 '18 at 10:08














    1












    1








    1






    select p1.date_entered, 
    p1.WholeSale,
    p1.Volume,
    p1.Clearance
    FROM pricetable p1
    CROSS APPLY
    --cross apply to most recent prior record
    (SELECT TOP 1 *
    FROM pricetable p2
    where p1.product = p2.product
    and p2.date_entered < p1.date_entered
    order by p2.date_entered desc) CA
    where p1.product = 'TANGO'
    and (p1.wholesale != CA.wholesale or p1.volume != CA.volume or p1.clearence != CA.clearence)
    order by p1.date_entered desc





    share|improve this answer












    select p1.date_entered, 
    p1.WholeSale,
    p1.Volume,
    p1.Clearance
    FROM pricetable p1
    CROSS APPLY
    --cross apply to most recent prior record
    (SELECT TOP 1 *
    FROM pricetable p2
    where p1.product = p2.product
    and p2.date_entered < p1.date_entered
    order by p2.date_entered desc) CA
    where p1.product = 'TANGO'
    and (p1.wholesale != CA.wholesale or p1.volume != CA.volume or p1.clearence != CA.clearence)
    order by p1.date_entered desc






    share|improve this answer












    share|improve this answer



    share|improve this answer










    answered Nov 19 '18 at 16:48









    Cato

    2,525210




    2,525210












    • Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
      – benjiiiii
      Nov 20 '18 at 9:00










    • does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
      – Cato
      Nov 20 '18 at 9:52










    • Pricetable has a unique id called id yes.
      – benjiiiii
      Nov 20 '18 at 9:53










    • Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
      – benjiiiii
      Nov 20 '18 at 10:08


















    • Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
      – benjiiiii
      Nov 20 '18 at 9:00










    • does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
      – Cato
      Nov 20 '18 at 9:52










    • Pricetable has a unique id called id yes.
      – benjiiiii
      Nov 20 '18 at 9:53










    • Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
      – benjiiiii
      Nov 20 '18 at 10:08
















    Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
    – benjiiiii
    Nov 20 '18 at 9:00




    Hi @Cato this works thankyou! It takes a while to run, are there any noticeable parts where the speed could be increased?
    – benjiiiii
    Nov 20 '18 at 9:00












    does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
    – Cato
    Nov 20 '18 at 9:52




    does pricetable have an index? If you add an index where the order is product then date entered, un-clustered, probably a unique index
    – Cato
    Nov 20 '18 at 9:52












    Pricetable has a unique id called id yes.
    – benjiiiii
    Nov 20 '18 at 9:53




    Pricetable has a unique id called id yes.
    – benjiiiii
    Nov 20 '18 at 9:53












    Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
    – benjiiiii
    Nov 20 '18 at 10:08




    Hi, sorry I understand what you meant now. Spoke to a colleague and they explained it. It's now running almost instantly with that in place. Thanks for the help.
    – benjiiiii
    Nov 20 '18 at 10:08













    1














    THE QUESTION WAS ORIGINALLY TAGGED SQL-SERVER (with no version). This works for SQL Server 2012+:



    Use lag(). Something like this:



    select pt.*
    from (select pt.*,
    lag(wholesale) over (partition by product
    order by date_entered) as prev_wholesale,
    lag(volume) over (partition by product
    order by date_entered) as prev_volume,
    lag(clearance) over (partition by clearance
    order by date_entered) as prev_clearance
    from pricetable
    where product = 'TANGO'
    ) pt
    where (prev_wholesale is null or prev_wholesale <> wholesale) or
    (prev_volume is null or prev_volume <> volume) or
    (prev_clearance is null or prev_clearance <> clearance)
    order by date_entered desc;





    share|improve this answer























    • I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
      – benjiiiii
      Nov 19 '18 at 16:45












    • I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
      – paparazzo
      Nov 19 '18 at 17:02










    • My apologies for not tagging the version, and thanks for the answer.
      – benjiiiii
      Nov 20 '18 at 10:09
















    1














    THE QUESTION WAS ORIGINALLY TAGGED SQL-SERVER (with no version). This works for SQL Server 2012+:



    Use lag(). Something like this:



    select pt.*
    from (select pt.*,
    lag(wholesale) over (partition by product
    order by date_entered) as prev_wholesale,
    lag(volume) over (partition by product
    order by date_entered) as prev_volume,
    lag(clearance) over (partition by clearance
    order by date_entered) as prev_clearance
    from pricetable
    where product = 'TANGO'
    ) pt
    where (prev_wholesale is null or prev_wholesale <> wholesale) or
    (prev_volume is null or prev_volume <> volume) or
    (prev_clearance is null or prev_clearance <> clearance)
    order by date_entered desc;





    share|improve this answer























    • I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
      – benjiiiii
      Nov 19 '18 at 16:45












    • I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
      – paparazzo
      Nov 19 '18 at 17:02










    • My apologies for not tagging the version, and thanks for the answer.
      – benjiiiii
      Nov 20 '18 at 10:09














    1












    1








    1






    THE QUESTION WAS ORIGINALLY TAGGED SQL-SERVER (with no version). This works for SQL Server 2012+:



    Use lag(). Something like this:



    select pt.*
    from (select pt.*,
    lag(wholesale) over (partition by product
    order by date_entered) as prev_wholesale,
    lag(volume) over (partition by product
    order by date_entered) as prev_volume,
    lag(clearance) over (partition by clearance
    order by date_entered) as prev_clearance
    from pricetable
    where product = 'TANGO'
    ) pt
    where (prev_wholesale is null or prev_wholesale <> wholesale) or
    (prev_volume is null or prev_volume <> volume) or
    (prev_clearance is null or prev_clearance <> clearance)
    order by date_entered desc;





    share|improve this answer














    THE QUESTION WAS ORIGINALLY TAGGED SQL-SERVER (with no version). This works for SQL Server 2012+:



    Use lag(). Something like this:



    select pt.*
    from (select pt.*,
    lag(wholesale) over (partition by product
    order by date_entered) as prev_wholesale,
    lag(volume) over (partition by product
    order by date_entered) as prev_volume,
    lag(clearance) over (partition by clearance
    order by date_entered) as prev_clearance
    from pricetable
    where product = 'TANGO'
    ) pt
    where (prev_wholesale is null or prev_wholesale <> wholesale) or
    (prev_volume is null or prev_volume <> volume) or
    (prev_clearance is null or prev_clearance <> clearance)
    order by date_entered desc;






    share|improve this answer














    share|improve this answer



    share|improve this answer








    edited Nov 19 '18 at 19:42

























    answered Nov 19 '18 at 16:36









    Gordon Linoff

    760k35294399




    760k35294399












    • I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
      – benjiiiii
      Nov 19 '18 at 16:45












    • I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
      – paparazzo
      Nov 19 '18 at 17:02










    • My apologies for not tagging the version, and thanks for the answer.
      – benjiiiii
      Nov 20 '18 at 10:09


















    • I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
      – benjiiiii
      Nov 19 '18 at 16:45












    • I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
      – paparazzo
      Nov 19 '18 at 17:02










    • My apologies for not tagging the version, and thanks for the answer.
      – benjiiiii
      Nov 20 '18 at 10:09
















    I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
    – benjiiiii
    Nov 19 '18 at 16:45






    I'm getting an error saying LAG() isn't a recognized built in function. When I hover over it, it appears that is is as it know it returns an int. However, when trying to execute I get the error.
    – benjiiiii
    Nov 19 '18 at 16:45














    I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
    – paparazzo
    Nov 19 '18 at 17:02




    I don't think lag was supported in version 2008. There work arounds. Just search on 2008 lag.
    – paparazzo
    Nov 19 '18 at 17:02












    My apologies for not tagging the version, and thanks for the answer.
    – benjiiiii
    Nov 20 '18 at 10:09




    My apologies for not tagging the version, and thanks for the answer.
    – benjiiiii
    Nov 20 '18 at 10:09











    0














    Compare every row's values to the previous day's values:



    SELECT * FROM pricetable p WHERE (p.product = 'TANGO') AND
    (
    (p.WholeSale <> (SELECT WholeSale FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Volume <> (SELECT Volume FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Clearance <> (SELECT Clearance FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    )





    share|improve this answer





















    • Hi @forpas, this works it's just extremely slow. I'll try speed it up
      – benjiiiii
      Nov 20 '18 at 8:57
















    0














    Compare every row's values to the previous day's values:



    SELECT * FROM pricetable p WHERE (p.product = 'TANGO') AND
    (
    (p.WholeSale <> (SELECT WholeSale FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Volume <> (SELECT Volume FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Clearance <> (SELECT Clearance FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    )





    share|improve this answer





















    • Hi @forpas, this works it's just extremely slow. I'll try speed it up
      – benjiiiii
      Nov 20 '18 at 8:57














    0












    0








    0






    Compare every row's values to the previous day's values:



    SELECT * FROM pricetable p WHERE (p.product = 'TANGO') AND
    (
    (p.WholeSale <> (SELECT WholeSale FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Volume <> (SELECT Volume FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Clearance <> (SELECT Clearance FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    )





    share|improve this answer












    Compare every row's values to the previous day's values:



    SELECT * FROM pricetable p WHERE (p.product = 'TANGO') AND
    (
    (p.WholeSale <> (SELECT WholeSale FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Volume <> (SELECT Volume FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    OR
    (p.Clearance <> (SELECT Clearance FROM pricetable WHERE product = 'TANGO' AND date_entered = dateadd(day, -1, p.date_entered))
    )






    share|improve this answer












    share|improve this answer



    share|improve this answer










    answered Nov 19 '18 at 17:00









    forpas

    9,1021421




    9,1021421












    • Hi @forpas, this works it's just extremely slow. I'll try speed it up
      – benjiiiii
      Nov 20 '18 at 8:57


















    • Hi @forpas, this works it's just extremely slow. I'll try speed it up
      – benjiiiii
      Nov 20 '18 at 8:57
















    Hi @forpas, this works it's just extremely slow. I'll try speed it up
    – benjiiiii
    Nov 20 '18 at 8:57




    Hi @forpas, this works it's just extremely slow. I'll try speed it up
    – benjiiiii
    Nov 20 '18 at 8:57











    0














    You might be able to use ROW_NUMBER() to determine previous rows:



    WITH cte AS (
    SELECT product, date_entered, wholesale, volume, clearance, ROW_NUMBER() OVER (PARTITION BY product ORDER BY date_entered) AS rn
    FROM pricetable
    )
    SELECT main.*
    FROM cte AS main
    LEFT JOIN cte AS prev ON prev.product = main.product AND prev.rn = main.rn - 1
    WHERE main.rn = 1
    OR prev.wholesale <> main.wholesale
    OR prev.volume <> main.volume
    OR prev.clearance <> main.clearance





    share|improve this answer




























      0














      You might be able to use ROW_NUMBER() to determine previous rows:



      WITH cte AS (
      SELECT product, date_entered, wholesale, volume, clearance, ROW_NUMBER() OVER (PARTITION BY product ORDER BY date_entered) AS rn
      FROM pricetable
      )
      SELECT main.*
      FROM cte AS main
      LEFT JOIN cte AS prev ON prev.product = main.product AND prev.rn = main.rn - 1
      WHERE main.rn = 1
      OR prev.wholesale <> main.wholesale
      OR prev.volume <> main.volume
      OR prev.clearance <> main.clearance





      share|improve this answer


























        0












        0








        0






        You might be able to use ROW_NUMBER() to determine previous rows:



        WITH cte AS (
        SELECT product, date_entered, wholesale, volume, clearance, ROW_NUMBER() OVER (PARTITION BY product ORDER BY date_entered) AS rn
        FROM pricetable
        )
        SELECT main.*
        FROM cte AS main
        LEFT JOIN cte AS prev ON prev.product = main.product AND prev.rn = main.rn - 1
        WHERE main.rn = 1
        OR prev.wholesale <> main.wholesale
        OR prev.volume <> main.volume
        OR prev.clearance <> main.clearance





        share|improve this answer














        You might be able to use ROW_NUMBER() to determine previous rows:



        WITH cte AS (
        SELECT product, date_entered, wholesale, volume, clearance, ROW_NUMBER() OVER (PARTITION BY product ORDER BY date_entered) AS rn
        FROM pricetable
        )
        SELECT main.*
        FROM cte AS main
        LEFT JOIN cte AS prev ON prev.product = main.product AND prev.rn = main.rn - 1
        WHERE main.rn = 1
        OR prev.wholesale <> main.wholesale
        OR prev.volume <> main.volume
        OR prev.clearance <> main.clearance






        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 19 '18 at 19:06

























        answered Nov 19 '18 at 18:59









        Salman A

        176k66336424




        176k66336424






























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