Efficiently Removing Duplicate Rows in SQL Server While Preserving a Single Row
Data integrity is critical in database management. This article addresses the common issue of removing duplicate rows from a SQL Server table while ensuring at least one instance of each unique data set remains. T-SQL provides a straightforward solution using common table expressions (CTEs).
The OVER
clause within the CTE is key to this process. Here's an illustrative example:
WITH cte AS ( SELECT [foo], [bar], ROW_NUMBER() OVER (PARTITION BY [foo], [bar] ORDER BY [baz]) AS rn FROM [TABLE] ) DELETE FROM cte WHERE rn > 1;
This query uses a CTE to assign a unique row number (rn
) to each row within groups defined by the columns [foo]
and [bar]
. The ORDER BY [baz]
clause determines which row within each group is kept; you should adjust this based on your specific needs. The DELETE
statement then removes all rows where rn
is greater than 1, leaving only one representative row for each unique combination of [foo]
and [bar]
.
This approach offers an efficient and reliable method for maintaining data cleanliness and accuracy in your SQL Server database.
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