High-Performance String Concatenation in SQL Server: Bypassing CLR Limitations
Aggregating strings from multiple rows into a single string is a frequent SQL Server task. While methods like COALESCE
and FOR XML PATH
exist, they often fall short in terms of efficiency. This is particularly true in SQL Azure, which lacks support for CLR functions, eliminating a common high-performance solution.
Effective Alternatives: Recursive CTE Approach
A robust and efficient alternative leverages a recursive Common Table Expression (CTE). This technique involves these key steps:
This method guarantees consistent results through explicit grouping and sorting.
Practical Implementation:
Here's a sample implementation using a recursive CTE:
<code class="language-sql">WITH Partitioned AS ( SELECT ID, Name, ROW_NUMBER() OVER (PARTITION BY ID ORDER BY Name) AS NameNumber, COUNT(*) OVER (PARTITION BY ID) AS NameCount FROM dbo.SourceTable ), Concatenated AS ( SELECT ID, CAST(Name AS nvarchar(max)) AS FullName, Name, NameNumber, NameCount FROM Partitioned WHERE NameNumber = 1 UNION ALL SELECT P.ID, CAST(C.FullName + ', ' + P.Name AS nvarchar(max)), P.Name, P.NameNumber, P.NameCount FROM Partitioned AS P INNER JOIN Concatenated AS C ON P.ID = C.ID AND P.NameNumber = C.NameNumber + 1 ) SELECT ID, FullName FROM Concatenated WHERE NameNumber = NameCount;</code>
This recursive CTE provides a scalable and efficient solution for string concatenation in SQL Server, especially in environments where CLR functions are unavailable. Note the use of nvarchar(max)
to handle potentially large concatenated strings.
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