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Using Ranking Functions to Deduplicate Data


Using Ranking Functions to Deduplicate Data

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andrew.riley
andrew.riley
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Comments posted to this topic are about the item Using Ranking Functions to Deduplicate Data
scottm30
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Nice article, thanks for sharing.
The same thing can be achieved with just the row_number function as well.



select AlphaKey
from (
select row_number() over(partition by AlphaKey order by AlphaKey) rownum,
AlphaKey
from @AlphaList
) al
where rownum = 1
order by 1;



ziangij
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yep, i too use this query to remove duplicates...

was wondering, which query is faster, this one or the one mentioned in the article...

scottm30 (7/26/2010)
Nice article, thanks for sharing.
The same thing can be achieved with just the row_number function as well.



select AlphaKey
from (
select row_number() over(partition by AlphaKey order by AlphaKey) rownum,
AlphaKey
from @AlphaList
) al
where rownum = 1
order by 1;



david.skov
david.skov
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with the A,B,C,D,E example, the select distinct syntax would be better imho.
phil.wood 94423
phil.wood 94423
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How about good ol' grouping to remove duplicates and supply any of the minimum, maximum, sum, count, average, etc. etc?

select ItemNumber, min(UnitCost) as MinCost from MissingItems
group by ItemNumber;

ItemNumber MinCost
777 10.10
888 13.13
999 16.16
philip.cullingworth
philip.cullingworth
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I was interested to see what the difference in performance between these queries as I would always have used Row_Number with a partition before.

On the Northwind database (SQL 2005) I ran the following 2 queries

select
a.ProductID
,a.UnitPrice
from
(select
ProductID
,UnitPrice
,Rank() over (order by ProductID) as Ranking
,Row_Number() over (order by ProductID,UnitPrice) as RowNumber
from
[Order Details]
) as a
where
a.Ranking=a.RowNumber
order by
a.ProductID


select
a.ProductID
,a.UnitPrice
from
(select
ProductID
,UnitPrice
,Row_Number() over (partition by ProductID order by UnitPrice) as RowNumber
from
[Order Details]
) as a
where
a.RowNumber=1
order by
a.ProductID

In the Actual Execution Plan, the first query showed up as 64% and the second as 36%.

Far from exhaustive, but I'll probably stick to Row_Number with Partition by.

In (partial) answer to Phil Wood, if all I wanted was the lowest price for each product then I would use grouping, I'd probably use this method if I wanted to find the customer or order date as well, changing the code to

select
a.ProductID
,a.UnitPrice
,b.CustomerID
,b.OrderDate
from
(select
ProductID
,UnitPrice
,OrderID
,Row_Number() over (partition by ProductID order by UnitPrice) as RowNumber
from
[Order Details]
) as a
inner join
Orders as b
on
a.OrderID=b.OrderID
where
a.RowNumber=1
order by
a.ProductID

aszendi
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I agree. The simplest way to deduplicate is using grouping and aggregate functions as needed.
regards
Áron
Bhavesh-1094084
Bhavesh-1094084
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I had to remove unitprice from the orderby to get deduplicated results.


declare @TempTable table (itemnumber int, unitprice decimal(18, 2));

insert into @TempTable values
(777, 10.10),
(777, 11.11),
(777, 12.12),
(888, 13.13),
(888, 14.14),
(888, 15.15),
(999, 16.16),
(999, 17.17),
(999, 18.18);

with GetMissingItems(Rank, RowNumber, ItemNumber, UnitCost) as
(
select
RANK() over (order by ItemNumber) as Rank,
ROW_NUMBER() over (order by ItemNumber) as RowNumber,
itemnumber,
unitprice
from @TempTable
) select * from GetMissingItems
where Rank = RowNumber;



Bhavesh
.NET and SQL Server Blog
messineo
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In the example you provided you used one column. Say I have 4 columns and I want to deduplicate based on those. In other words I want to rank against those columns -- how would the SQL statements change?
philip.cullingworth
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messineo,

If you have multiple columns that you want to deduplicate on you will need to include all of them in whichever method you use.

Here is some sample code using each method that should work (all based on the Northwind database). Note that in all these cases the data will be de-duplicated but which row is selected for each set of duplicates can not be predicted (so if you want the first order for each set you will need different code).


select
a.ProductID
,a.UnitPrice
,a.Quantity
,a.Discount
from
(select
ProductID
,UnitPrice
,Quantity
,Discount
,Rank() over (order by ProductID,UnitPrice,Quantity,Discount) as Ranking
,Row_Number() over (order by ProductID,UnitPrice,Quantity,Discount) as RowNumber
from
[Order Details]
) as a
where
a.Ranking=a.RowNumber


select
a.ProductID
,a.UnitPrice
,a.Quantity
,a.Discount
from
(select
ProductID
,UnitPrice
,Quantity
,Discount
,Row_Number() over (partition by ProductID,UnitPrice,Quantity,Discount order by ProductID) as RowNumber
from
[Order Details]
) as a
where
a.RowNumber=1


select
ProductID
,UnitPrice
,Quantity
,Discount
from
[Order Details]
group by
ProductID
,UnitPrice
,Quantity
,Discount

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