February 19, 2013 at 3:33 pm
Hi all,
Need some help in writing a query for the below scenario. I have two table with start and end dates which can be joined on a common ID flied. I would like to extract out all the Records from the table @Table1 who’s start and End dates do don’t fall in any range in the table @Table2 start and end dates.
declare @Table1 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table1
select 1,'2009-11-28 00:00:00.000',''
union all
select 1,'2009-11-07 00:00:00.000','2009-11-27 00:00:00.000'
union all
select 1,'2009-07-01 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 1,'2009-06-19 00:00:00.000','2009-06-30 00:00:00.000'
select * from @Table1
declare @Table2 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table2
select 1,'2008-11-05 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 1,'2007-11-29 00:00:00.000','2008-11-04 00:00:00.000'
union all
select 1,'2007-09-04 00:00:00.000','2007-09-04 00:00:00.000'
union all
select 1,'2007-07-02 00:00:00.000','2007-07-12 00:00:00.000'
union all
select 1,'2006-09-05 00:00:00.000','2007-06-21 00:00:00.000'
select * from @Table2
February 19, 2013 at 4:12 pm
If I understood your requirements, the following is what you'll need. Offhand about your test data, everything had an id of 1 before I modified it.
Short form of what this does: Pivot the test data, check each value against the validation set, and return outliers. Only return each ID once in case of multiple failures.
declare @Table1 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table1
select 1,'2009-11-28 00:00:00.000',''
union all
select 2,'2009-11-07 00:00:00.000','2009-11-27 00:00:00.000'
union all
select 3,'2009-07-01 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 4,'2009-06-19 00:00:00.000','2009-06-30 00:00:00.000'
select * from @Table1
declare @Table2 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table2
select 1,'2008-11-05 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 2,'2007-11-29 00:00:00.000','2008-11-04 00:00:00.000'
union all
select 3,'2007-09-04 00:00:00.000','2007-09-04 00:00:00.000'
union all
select 4,'2007-07-02 00:00:00.000','2007-07-12 00:00:00.000'
union all
select 5,'2006-09-05 00:00:00.000','2007-06-21 00:00:00.000'
select * from @Table2
;WITH pivotedData AS
(SELECT id, StartDt as TestDT
FROM@Table1
UNION ALL
SELECT id, EndDt AS TestDT
FROM@Table1
)
SELECT DISTINCT
pd.ID
FROM
pivotedData AS pd
LEFT JOIN
@table2 AS t2
ONpd.TestDT >= t2.StartDt
AND pd.TestDt <= t2.EndDt
WHERE
t2.id IS NULL
Never stop learning, even if it hurts. Ego bruises are practically mandatory as you learn unless you've never risked enough to make a mistake.
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For index/tuning help, follow these directions.[/url] |Tally Tables[/url]
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February 19, 2013 at 4:56 pm
Thank you for the Reply!.. my criteria is that we would have mutiple records (Start and EndDt's) in the @Table1 for single ID and also the same in the @table2. Your query pickup the records the correct records from @Table1 who's date are out of range. below is the data that i have. i would need the out from the @Table1 (ID,StartDt,EndDt) which dont fall in the range of the @table2.
Thank you once again for taking time to help me out.
declare @Table1 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table1
select 1,'2009-11-28 00:00:00.000',''
union all
select 1,'2009-11-07 00:00:00.000','2009-11-27 00:00:00.000'
union all
select 1,'2009-07-01 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 1,'2009-06-19 00:00:00.000','2009-06-30 00:00:00.000'
union all
select 2,'2009-11-28 00:00:00.000',''
union all
select 2,'2009-11-07 00:00:00.000','2009-11-27 00:00:00.000'
union all
select 2,'2009-07-01 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 2,'2009-06-19 00:00:00.000','2009-06-30 00:00:00.000'
declare @Table2 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table2
select 1,'2008-11-05 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 1,'2007-11-29 00:00:00.000','2008-11-04 00:00:00.000'
union all
select 1,'2007-09-04 00:00:00.000','2007-09-04 00:00:00.000'
union all
select 1,'2007-07-02 00:00:00.000','2007-07-12 00:00:00.000'
union all
select 1,'2006-09-05 00:00:00.000','2007-06-21 00:00:00.000'
union all
select 2,'2008-11-05 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 2,'2007-11-29 00:00:00.000','2008-11-04 00:00:00.000'
union all
select 2,'2007-09-04 00:00:00.000','2007-09-04 00:00:00.000'
union all
select 2,'2007-07-02 00:00:00.000','2007-07-12 00:00:00.000'
union all
select 2,'2006-09-05 00:00:00.000','2007-06-21 00:00:00.000'
;WITH pivotedData AS
(SELECT id, StartDt as TestDT
FROM@Table1
UNION ALL
SELECT id, EndDt AS TestDT
FROM@Table1
)
SELECT DISTINCT
pd.ID
FROM
pivotedData AS pd
LEFT JOIN
@table2 AS t2
ONpd.TestDT >= t2.StartDt
AND pd.TestDt <= t2.EndDt
WHERE
t2.id IS NULL
February 20, 2013 at 10:49 am
A simple enough change, but you still need a key row on table1 to know the exact row. See the modified code below as well as my slightly modified table so you can identify the exact culprit rows:
declare @Table1 table
(RowID INT,
id int,
StartDt datetime,
EndDt datetime)
insert into @Table1
select 1, 1,'2009-11-28 00:00:00.000',''
union all
select 2, 1,'2009-11-07 00:00:00.000','2009-11-27 00:00:00.000'
union all
select 3, 1,'2009-07-01 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 4, 1,'2009-06-19 00:00:00.000','2009-06-30 00:00:00.000'
union all
select 5, 2,'2009-11-28 00:00:00.000',''
union all
select 6, 2,'2009-11-07 00:00:00.000','2009-11-27 00:00:00.000'
union all
select 7, 2,'2009-07-01 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 8, 2,'2009-06-19 00:00:00.000','2009-06-30 00:00:00.000'
declare @Table2 table
(id int,
StartDt datetime,
EndDt datetime)
insert into @Table2
select 1,'2008-11-05 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 1,'2007-11-29 00:00:00.000','2008-11-04 00:00:00.000'
union all
select 1,'2007-09-04 00:00:00.000','2007-09-04 00:00:00.000'
union all
select 1,'2007-07-02 00:00:00.000','2007-07-12 00:00:00.000'
union all
select 1,'2006-09-05 00:00:00.000','2007-06-21 00:00:00.000'
union all
select 2,'2008-11-05 00:00:00.000','2009-11-06 00:00:00.000'
union all
select 2,'2007-11-29 00:00:00.000','2008-11-04 00:00:00.000'
union all
select 2,'2007-09-04 00:00:00.000','2007-09-04 00:00:00.000'
union all
select 2,'2007-07-02 00:00:00.000','2007-07-12 00:00:00.000'
union all
select 2,'2006-09-05 00:00:00.000','2007-06-21 00:00:00.000'
;WITH pivotedData AS
(SELECT RowID, id, StartDt as TestDT
FROM@Table1
UNION ALL
SELECT RowID, id, EndDt AS TestDT
FROM@Table1
)
SELECT DISTINCT
pd.RowID
FROM
pivotedData AS pd
LEFT JOIN
@table2 AS t2
ONpd.id = t2.id
AND pd.TestDT >= t2.StartDt
AND pd.TestDt <= t2.EndDt
WHERE
t2.id IS NULL
Never stop learning, even if it hurts. Ego bruises are practically mandatory as you learn unless you've never risked enough to make a mistake.
For better assistance in answering your questions[/url] | Forum Netiquette
For index/tuning help, follow these directions.[/url] |Tally Tables[/url]
Twitter: @AnyWayDBA
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