![]() OUTPUT TO "/ReferenceGuide/Operators/Logical/Like4.txt" USING = OUTPUT TO "/ReferenceGuide/Operators/Logical/Like3.txt" USING = OUTPUT TO "/ReferenceGuide/Operators/Logical/Like2.txt" USING = OUTPUT TO "/ReferenceGuide/Operators/Logical/Like1.txt" USING = Change "LIKE" to "NOT LIKE" for NOT LIKE = An Azure subscription and Azure Data Lake Analytics account is not needed when executed = The examples can be executed in Visual Studio with the Azure Data Lake Tools plug-in.It is put in front of a wildcard character to indicate that the wildcard should be interpreted as a regular character and not as a wildcard. Specifies optionally a non-null value of type char that can be used to escape any of the wildcard characters. WHERE lname LIKE 'de%' finds all rows with last names starting with de and where the following letter is not l. In range searches, the characters included in the range are determined by the culture invariant sort order using UTF-8 byte ordering.Īny single character not within the specified range () or set ![]() WHERE lname LIKE 'arsen' finds all rows with last names ending with arsen and starting with any single character between C and P, for example Carsen, Larsen, Karsen, and so on. WHERE fname LIKE '_ean' finds all rows with 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 rows with the word 'computer' anywhere in the title. The pattern in a LIKE can include the following valid wildcard characters. Is a string expression that provides the pattern to test against. Is the expression that creates the string value to be tested. Note that the comparison is done with culture invariant string comparison using UTF-8 byte-level comparison. 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. The pattern can include regular characters and wildcard characters. U-SQL provides the LIKE and NOT LIKE comparison operators that are familiar from T-SQL that checks if a string value matches or does not match a simple pattern.
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