Reputation: 589
I have an interesting SQL problem that I need help with.
Here is the sample dataset:
Warehouse DateStamp TimeStamp ItemNumber ID
A 8/1/2009 10001 abc 1
B 8/1/2009 10002 abc 1
A 8/3/2009 12144 qrs 5
C 8/3/2009 12143 qrs 5
D 8/5/2009 6754 xyz 6
B 8/5/2009 6755 xyz 6
This dataset represents inventory transfers between two warehouses. There are two records that represent each transfer, and these two transfer records always have the same ItemNumber, DateStamp, and ID. The TimeStamp values for the two transfer records always have a difference of 1, where the smaller TimeStamp represents the source warehouse record and the larger TimeStamp represents the destination warehouse record.
Using the sample dataset above, here is the query result set that I need:
Warehouse_Source Warehouse_Destination ItemNumber DateStamp
A B abc 8/1/2009
C A qrs 8/3/2009
D B xyz 8/5/2009
I can write code to produce the desired result set, but I was wondering if this record combination was possible through SQL. I am using SQL Server 2005 as my underlying database. I also need to add a WHERE clause to the SQL, so that for example, I could search on Warehouse_Source = A. And no, I can't change the data model ;).
Any advice is greatly appreciated!
Regards, Mark
Upvotes: 0
Views: 9775
Reputation: 7184
Mark,
Here is how you can do this with row_number and PIVOT. With a clustered index or primary key on the columns as I suggest, it will use a straight-line query plan with no Sort operation, thus be particularly efficient.
create table T(
Warehouse char,
DateStamp datetime,
TimeStamp int,
ItemNumber varchar(10),
ID int,
primary key(ItemNumber,DateStamp,ID,TimeStamp)
);
insert into T values ('A','20090801','10001','abc','1');
insert into T values ('B','20090801','10002','abc','1');
insert into T values ('A','20090803','12144','qrs','5');
insert into T values ('C','20090803','12143','qrs','5');
insert into T values ('D','20090805','6754','xyz','6');
insert into T values ('B','20090805','6755','xyz','6');
with Tpaired(Warehouse,DateStamp,TimeStamp,ItemNumber,ID,rk) as (
select
Warehouse,DateStamp,TimeStamp,ItemNumber,ID,
row_number() over (
partition by ItemNumber,DateStamp,ID
order by TimeStamp
)
from T
)
select
max([1]) as Warehouse_Source,
max([2]) as Warehouse_Destination,
ItemNumber,
DateStamp
from Tpaired
pivot (
max(Warehouse) for rk in ([1],[2])
) as P
group by ItemNumber, DateStamp, ID;
go
drop table T;
Upvotes: 0
Reputation: 294487
SELECT source.Warehouse as Warehouse_Source
, dest.Warehouse as Warehouse_Destination
, source.ItemNumber
, source.DateStamp
FROM table source
JOIN table dest ON source.ID = dest.ID
AND source.ItemNumber = dest.ItemNumber
AND source.DateStamp = dest.DateStamp
AND source.TimeStamp = dest.TimeStamp + 1
Upvotes: 7