Selecting rows where a value has changed
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
|
show 7 more comments
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
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 useLAG()
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
|
show 7 more comments
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
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
sql sql-server tsql sql-server-2008-r2 distinct
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 useLAG()
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
|
show 7 more comments
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 useLAG()
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
|
show 7 more comments
4 Answers
4
active
oldest
votes
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
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
add a comment |
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;
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
add a comment |
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))
)
Hi @forpas, this works it's just extremely slow. I'll try speed it up
– benjiiiii
Nov 20 '18 at 8:57
add a comment |
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
add a comment |
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
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
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
add a comment |
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
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
add a comment |
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
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
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
add a comment |
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
add a comment |
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;
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
add a comment |
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;
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
add a comment |
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;
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;
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
add a comment |
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
add a comment |
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))
)
Hi @forpas, this works it's just extremely slow. I'll try speed it up
– benjiiiii
Nov 20 '18 at 8:57
add a comment |
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))
)
Hi @forpas, this works it's just extremely slow. I'll try speed it up
– benjiiiii
Nov 20 '18 at 8:57
add a comment |
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))
)
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))
)
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
add a comment |
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
add a comment |
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
add a comment |
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
add a comment |
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
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
edited Nov 19 '18 at 19:06
answered Nov 19 '18 at 18:59
Salman A
176k66336424
176k66336424
add a comment |
add a comment |
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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