![]() WHERE au_lname LIKE 'arsen' finds author last names ending with arsen and starting with any single character between C and P, for example Carsen, Larsen, Karsen, and so on. WHERE au_fname LIKE '_ean' finds all four-letter first names that end with ean (Dean, Sean, and so on).Īny single character within the specified range () or set (). WHERE title LIKE '%computer%' finds all book titles with the word 'computer' anywhere in the book title. Is the specific string of characters to search for in match_expression, and can include the following valid wildcard characters. Is any valid expression of character data type. To view Transact-SQL syntax for SQL Server 2014 and earlier, see Previous versions documentation. ![]() Syntax for Azure Synapse Analytics and Parallel Data Warehouse Transact-SQL Syntax Conventions Syntax - Syntax for SQL Server and Azure SQL Database If any one of the arguments isn't of character string data type, the SQL Server Database Engine converts it to character string data type, if it's possible. Using wildcard characters makes the LIKE operator more flexible than using the = and != string comparison operators. However, wildcard characters can be matched with arbitrary fragments of the character string. During pattern matching, regular characters must exactly match the characters specified in the character string. A pattern can include regular characters and wildcard characters. ![]() Applies to: SQL Server (all supported versions) Azure SQL Database Azure SQL Managed Instance Azure Synapse Analytics Analytics Platform System (PDW)ĭetermines whether a specific character string matches a specified pattern. ![]()
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