2026-03-06
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2026-03-06
577 reads
2026-03-04 (first published: 2026-02-27)
786 reads
2026-02-13
962 reads
In the last article, we examined fuzzy string matching in SQL Server 2025 with a few new functions. We know comparing strings has always been hard when we don't have great data quality. If we need exact matches, SQL Server works great. However, we often expect users to enter values without typos and know what […]
2026-01-23
2,175 reads
Comparing strings has always been hard when we don't have great data quality. If we need exact matches, SQL Server works great. However, we often expect users to enter values without typos and know what values they want to find. Or at least know part of the string. However, matching with wildcards or partial strings […]
2026-01-28 (first published: 2026-01-16)
3,231 reads
Learn about the new string similarity functions in Azure SQL Database.
2025-03-28
8,566 reads
An optimized Damerau-Levenshtein Distance (DLD) algorithm for "fuzzy" string matching in Transact-SQL 2000-2008
2014-01-10 (first published: 2012-09-18)
31,275 reads
Roll Your Own Fuzzy Match / Grouping (Jaro Winkler) - T-SQL
2009-06-10
45,462 reads
By SQLPals
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Comments posted to this topic are about the item Let's Talk Certifications
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I have this table in a SQL Server 2025 database:
CREATE TABLE [dbo].[CustomerOrder] ( [OrderID] [int] NULL, [CustomerID] [int] NULL, [total] [money] NULL ) ON [PRIMARY] GOWhat is returned from this code? (answers are for the sum and then the count)
SELECT SUM(total) AS sum,
COUNT(total) AS count
FROM dbo.CustomerOrder;
See possible answers