Merge multiple source table dates and to one target table

The requirement is to merge multiple source tables (each table has a set of start and end date) to one target table with one set of start and end date and contain the date relevant column values from each source table. Payment source tablestart dateend datepayemnt1/1/201512/31/2015301/1/201612/31/999960Position source tablestart dateend dateposition1/1/201512/31/2016101/1/201712/31/999920Target tablestart dateend datepayemntposition1/1/201512/31/201530101/1/201612/31/201660101/1/201712/31/99996020 What transformation(s) will be best to use to handle this requirement? Thanks, Lei

Thanks Karen,
that was exactly what i was hoping for.
Maybe it could be made easier/less confusing if the Mapping Workbench just made you choose a target table. But maybe this is not usefull if the table contains two foreign keys to the same table. Or maybe this should just be put somewhere in the documentation.
Regards,
Robert
Hi Donald,
fortunately i'm my own DBA so i don't have any problems ;-). However i'm certainly interested in the reasons for not having such a conditional foreign key.
However actually the foreign key isn't conditional, the condition is that either the field (using the FK) must be filled, or a free-format field. The reasoning for this is that we have a list of known towns and if the addres is local a town from that list must be chosen. If the addres is outside the country a town can just be typed in (no list).
Concerning the agrregate, all fields are always used. There are no neediness flags anywhere. The aggregate contains three fields which are mapping as direct (two fields) or a One-to-one (the FK). All 'parents' all contains these three fields.
Regards,
Robert

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RETURNS VARCHAR(256)
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BEGIN
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Hello Friends,
I am a newbie in SQL Server world and I am in a situation where I need to delete the bunch of records from the TARGET table using the values from the SOURCE table.
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http://dba.stackexchange.com/questions/1750/methods-of-speeding-up-a-huge-delete-from-table-with-no-clauses
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AND [Processed_date] < DATEADD (WEEK, -10, Getdate ()) AS SOURCE
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WHEN MATCHED
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Msg 156, Level 15, State 1, Line 3
Incorrect syntax near the keyword 'SELECT'.
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Incorrect syntax near the keyword 'AS'.
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Thanks a lot.

Visakh, we can have more than 1 matched clause in merge as per the Microsoft sql statement, but we need to add a condition along with the match. thanks for your prompt response on this query. your query is logically fine but when executed, it throws
following error. Msg 156, Level 15, State 1, Line 2 Incorrect syntax near the keyword 'DELETE'. Msg 102, Level 15, State 1, Line 8 Incorrect syntax near ')'. remember, my server machine is 2005 version & my work machine is 2012. dont know why your query
is not working.
MERGE is available only from 2008 onwards
Yes you're correct but again not more than two MATCHED clauses even if you specify condition
see MSDN documentation below
WHEN MATCHED THEN <merge_matched>
Specifies that all rows of target_table that match the rows returned by <table_source> ON <merge_search_condition>, and satisfy any additional search condition, are either updated or deleted according to the <merge_matched> clause.
The MERGE statement can have at most two WHEN MATCHED clauses. If two clauses are specified, then the first clause must be accompanied by an AND <search_condition> clause
from
http://msdn.microsoft.com/en-us/library/bb510625.aspx
Also I guess Composable DML which used is also not present in 2005
So in your case you can try this instead
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File_Name varchar(100)
DELETE t
OUTPUT DELETED.File_Name INTO @DELETED_FILES
FROM dbo.table1 t
INNER JOIN dbo.table2 s
ON t.File_name = s.File_name
WHERE s.FILE_DESC = 'EDI'
AND s.[Processed_date] < DATEADD (WEEK, -10, Getdate ())
UPDATE r
SET r.Process_Delete_Date = GETDATE()
FROM dbo.table2 r
INNER JOIN @DELETED_FILES AS p
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Please Mark This As Answer if it solved your issue
Please Mark This As Helpful if it helps to solve your issue
Visakh
My MSDN Page
My Personal Blog
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Merge multiple source table dates and to one target table

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