Beyond COALESCE and FOR XML: Efficient String Aggregation in SQL Azure
Many developers seeking efficient string concatenation from multiple SQL rows encounter limitations with standard functions like COALESCE
and FOR XML
in SQL Azure, especially when CLR functions aren't available. This article presents a powerful Transact-SQL solution using Common Table Expressions (CTEs) for robust and efficient string aggregation.
The Solution: Recursive CTEs for Sequential Concatenation
Our approach leverages two CTEs:
Partitioned
CTE: This assigns row numbers to each entry based on the ID
column, ordering alphabetically by the Name
column. This crucial step groups rows with the same ID
and ensures consistent concatenation order.
Concatenated
CTE (Recursive): This CTE iteratively builds the concatenated string. It recursively appends names to a FullName
column, accumulating the final result.
The main query then selects only the rows with the highest row number for each ID
, yielding the complete aggregated string for each group.
Detailed Breakdown and Customization Options
The method comprises three core stages:
FullName
column.ID
.This technique offers flexibility. You can adjust the grouping (ID
in this example) and sorting criteria (alphabetical order of Name
here) to fit your specific data structure and requirements. Consistent results depend on defining both grouping and sorting parameters.
Illustrative Example and Output
Let's use this sample data:
<code class="language-sql">INSERT dbo.SourceTable (ID, Name) VALUES (1, 'Matt'), (1, 'Rocks'), (2, 'Stylus'), (3, 'Foo'), (3, 'Bar'), (3, 'Baz')</code>
Executing the query will produce:
<code>ID FullName ----------- ------------------------------ 2 Stylus 3 Bar, Baz, Foo 1 Matt, Rocks</code>
This clearly demonstrates the effective concatenation of strings across multiple rows, providing a reliable alternative to CLR functions for SQL Azure string aggregation tasks.
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