Query help

I have a table with the following structure
CREATE TABLE [dbo].[TS] (
[Datetime] smalldatetime NOT NULL ,
TSFBR1 real null,
TSFBR1On tinyint
)
Data set is:
Insert into TS values('2005-01-01 00:00:00', 23.4, 12)
Insert into TS values('2005-01-02 00:00:00', 25.4, 23)
Insert into TS values('2005-01-03 00:00:00', null, 25)
Insert into TS values('2005-01-04 00:00:00', null, 1)
Insert into TS values('2005-01-05 00:00:00', 28.7, 26)
Insert into TS values('2005-01-06 00:00:00', null, 61)
Insert into TS values('2005-01-07 00:00:00', 22.4, 52)
Insert into TS values('2005-01-08 00:00:00', null, 42)
Insert into TS values('2005-01-09 00:00:00', 35.7, 32)
Insert into TS values('2005-01-10 00:00:00', null, 0)
I need help with query that will populate null's with most recent previous
date's non null value considering if TSFBR1ON is not zero.
The result set should look like:
'2005-01-01 00:00:00', 23.4, 12
'2005-01-02 00:00:00', 25.4, 23
'2005-01-03 00:00:00', 25.4, 25 -- previous date's value
'2005-01-04 00:00:00', 25.4, 1 -- changed
'2005-01-05 00:00:00', 28.7, 26
'2005-01-06 00:00:00', 28.7, 61 -- Changed
'2005-01-07 00:00:00', 22.4, 52
'2005-01-08 00:00:00', 22.4, 42 -- changed
'2005-01-09 00:00:00', 35.7, 32
'2005-01-10 00:00:00', null, 0 -- should not change as TSFBR1On is 0
Any help will be greatly appreciated.
Thanksrick,
try this:
update ts
set tsfbr1=(select t.tsfbr1 from ts t where t.[datetime]=(select
max(t2.[datetime]) from ts t2 where t2.[datetime]<ts.[datetime] and tsfbr1
is not null))
where tsfbr1 is null and tsfbr1on<>0
and please, don't use reserved words or typenames for column names :)
dean
"Rick" <ricky.arora@.metc.state.mn.us> wrote in message
news:FCBBDF93-0B5E-4406-A7C4-019C1336A097@.microsoft.com...
>I have a table with the following structure
> CREATE TABLE [dbo].[TS] (
> [Datetime] smalldatetime NOT NULL ,
> TSFBR1 real null,
> TSFBR1On tinyint
> )
> Data set is:
> Insert into TS values('2005-01-01 00:00:00', 23.4, 12)
> Insert into TS values('2005-01-02 00:00:00', 25.4, 23)
> Insert into TS values('2005-01-03 00:00:00', null, 25)
> Insert into TS values('2005-01-04 00:00:00', null, 1)
> Insert into TS values('2005-01-05 00:00:00', 28.7, 26)
> Insert into TS values('2005-01-06 00:00:00', null, 61)
> Insert into TS values('2005-01-07 00:00:00', 22.4, 52)
> Insert into TS values('2005-01-08 00:00:00', null, 42)
> Insert into TS values('2005-01-09 00:00:00', 35.7, 32)
> Insert into TS values('2005-01-10 00:00:00', null, 0)
> I need help with query that will populate null's with most recent previous
> date's non null value considering if TSFBR1ON is not zero.
> The result set should look like:
> '2005-01-01 00:00:00', 23.4, 12
> '2005-01-02 00:00:00', 25.4, 23
> '2005-01-03 00:00:00', 25.4, 25 -- previous date's value
> '2005-01-04 00:00:00', 25.4, 1 -- changed
> '2005-01-05 00:00:00', 28.7, 26
> '2005-01-06 00:00:00', 28.7, 61 -- Changed
> '2005-01-07 00:00:00', 22.4, 52
> '2005-01-08 00:00:00', 22.4, 42 -- changed
> '2005-01-09 00:00:00', 35.7, 32
> '2005-01-10 00:00:00', null, 0 -- should not change as TSFBR1On is 0
> Any help will be greatly appreciated.
> Thanks
>|||Try
select t1.[datetime], "tsfbr1" =
CASE
WHEN t1.tsfbr1 IS NULL AND t1.tsfbr1on = 0 THEN NULL
WHEN t1.tsfbr1 IS NULL THEN (SELECT TOP 1 t2.tsfbr1 FROM TS t2
WHERE (t2.[datetime] < t1.[datetime] AND t2.tsfbr1 IS NOT NULL) ORDER
BY t2.[datetime] DESC)
ELSE t1.tsfbr1
END,
t1.tsfbr1on
FROM TS t1
This will produce the output that you want through a SELECT.
I'll try producing an UPDATE statement that accomplishes the same thing and
post back.
"Rick" wrote:

> I have a table with the following structure
> CREATE TABLE [dbo].[TS] (
> [Datetime] smalldatetime NOT NULL ,
> TSFBR1 real null,
> TSFBR1On tinyint
> )
> Data set is:
> Insert into TS values('2005-01-01 00:00:00', 23.4, 12)
> Insert into TS values('2005-01-02 00:00:00', 25.4, 23)
> Insert into TS values('2005-01-03 00:00:00', null, 25)
> Insert into TS values('2005-01-04 00:00:00', null, 1)
> Insert into TS values('2005-01-05 00:00:00', 28.7, 26)
> Insert into TS values('2005-01-06 00:00:00', null, 61)
> Insert into TS values('2005-01-07 00:00:00', 22.4, 52)
> Insert into TS values('2005-01-08 00:00:00', null, 42)
> Insert into TS values('2005-01-09 00:00:00', 35.7, 32)
> Insert into TS values('2005-01-10 00:00:00', null, 0)
> I need help with query that will populate null's with most recent previous
> date's non null value considering if TSFBR1ON is not zero.
> The result set should look like:
> '2005-01-01 00:00:00', 23.4, 12
> '2005-01-02 00:00:00', 25.4, 23
> '2005-01-03 00:00:00', 25.4, 25 -- previous date's value
> '2005-01-04 00:00:00', 25.4, 1 -- changed
> '2005-01-05 00:00:00', 28.7, 26
> '2005-01-06 00:00:00', 28.7, 61 -- Changed
> '2005-01-07 00:00:00', 22.4, 52
> '2005-01-08 00:00:00', 22.4, 42 -- changed
> '2005-01-09 00:00:00', 35.7, 32
> '2005-01-10 00:00:00', null, 0 -- should not change as TSFBR1On is 0
> Any help will be greatly appreciated.
> Thanks
>|||Try:
update t1
set
TSFBR1 = t2.TSFBR1
from
TS t1
join
TS t2 on t2.[Datetime] =
(
select
max (t3.[Datetime])
from
TS t3
where
t3.Datetime < t1.Datetime
and t3.TSFBR1 is not null
)
where
t1.TSFBR1 is null
go
Tom
----
Thomas A. Moreau, BSc, PhD, MCSE, MCDBA
SQL Server MVP
Columnist, SQL Server Professional
Toronto, ON Canada
www.pinpub.com
"Rick" <ricky.arora@.metc.state.mn.us> wrote in message
news:FCBBDF93-0B5E-4406-A7C4-019C1336A097@.microsoft.com...
I have a table with the following structure
CREATE TABLE [dbo].[TS] (
[Datetime] smalldatetime NOT NULL ,
TSFBR1 real null,
TSFBR1On tinyint
)
Data set is:
Insert into TS values('2005-01-01 00:00:00', 23.4, 12)
Insert into TS values('2005-01-02 00:00:00', 25.4, 23)
Insert into TS values('2005-01-03 00:00:00', null, 25)
Insert into TS values('2005-01-04 00:00:00', null, 1)
Insert into TS values('2005-01-05 00:00:00', 28.7, 26)
Insert into TS values('2005-01-06 00:00:00', null, 61)
Insert into TS values('2005-01-07 00:00:00', 22.4, 52)
Insert into TS values('2005-01-08 00:00:00', null, 42)
Insert into TS values('2005-01-09 00:00:00', 35.7, 32)
Insert into TS values('2005-01-10 00:00:00', null, 0)
I need help with query that will populate null's with most recent previous
date's non null value considering if TSFBR1ON is not zero.
The result set should look like:
'2005-01-01 00:00:00', 23.4, 12
'2005-01-02 00:00:00', 25.4, 23
'2005-01-03 00:00:00', 25.4, 25 -- previous date's value
'2005-01-04 00:00:00', 25.4, 1 -- changed
'2005-01-05 00:00:00', 28.7, 26
'2005-01-06 00:00:00', 28.7, 61 -- Changed
'2005-01-07 00:00:00', 22.4, 52
'2005-01-08 00:00:00', 22.4, 42 -- changed
'2005-01-09 00:00:00', 35.7, 32
'2005-01-10 00:00:00', null, 0 -- should not change as TSFBR1On is 0
Any help will be greatly appreciated.
Thanks|||Thanks Guys. I appreciate it.
"Rick" wrote:

> I have a table with the following structure
> CREATE TABLE [dbo].[TS] (
> [Datetime] smalldatetime NOT NULL ,
> TSFBR1 real null,
> TSFBR1On tinyint
> )
> Data set is:
> Insert into TS values('2005-01-01 00:00:00', 23.4, 12)
> Insert into TS values('2005-01-02 00:00:00', 25.4, 23)
> Insert into TS values('2005-01-03 00:00:00', null, 25)
> Insert into TS values('2005-01-04 00:00:00', null, 1)
> Insert into TS values('2005-01-05 00:00:00', 28.7, 26)
> Insert into TS values('2005-01-06 00:00:00', null, 61)
> Insert into TS values('2005-01-07 00:00:00', 22.4, 52)
> Insert into TS values('2005-01-08 00:00:00', null, 42)
> Insert into TS values('2005-01-09 00:00:00', 35.7, 32)
> Insert into TS values('2005-01-10 00:00:00', null, 0)
> I need help with query that will populate null's with most recent previous
> date's non null value considering if TSFBR1ON is not zero.
> The result set should look like:
> '2005-01-01 00:00:00', 23.4, 12
> '2005-01-02 00:00:00', 25.4, 23
> '2005-01-03 00:00:00', 25.4, 25 -- previous date's value
> '2005-01-04 00:00:00', 25.4, 1 -- changed
> '2005-01-05 00:00:00', 28.7, 26
> '2005-01-06 00:00:00', 28.7, 61 -- Changed
> '2005-01-07 00:00:00', 22.4, 52
> '2005-01-08 00:00:00', 22.4, 42 -- changed
> '2005-01-09 00:00:00', 35.7, 32
> '2005-01-10 00:00:00', null, 0 -- should not change as TSFBR1On is 0
> Any help will be greatly appreciated.
> Thanks
>