![]() subject is NULL and one of the patterns is NULL, that is not considered a match. ) ESCAPE The LIKE ANY function returns input string matches any of the patterns. A percent sign ( ) matches any sequence of zero or more characters.Snowflake architecture consists of three different layers, which are data storage, query processing and cloud services. LIKE ANY (, . Snowflake does not require any software or hardware or maintenance using extra, which is specifically required by other platforms.![]() Following is the syntax of Snowflake LIKE ANY. You can prepend the NOT keyword to negate the result return by LIKE condition. The Cloud technology also uses different mechanisms. Next we want to return all strings starting with âHelloâ, so we whip out the LIKE function:Īlas, it returns only one row, because Snowflake is case-sensitive by default. There are some notable exceptions however, where the Snowflake SQL parser currently does not support dynamic SQL. The Snowflake LIKE ANY allows case-sensitive matching of an input string based on comparison with one or more patterns. The LIKE performs a case-sensitive match and ILIKE performs a case-insensitive match. Data stored in the Cloud is easily accessible as the organization members can access it from any location. First we create a small table with some sample data: Unlike the LIKE function, string matching is case-insensitive. The function is called ILIKE and it is syntactic sugar for the combination of UPPER and LIKE. ILIKE function in Snowflake - SQL Syntax and Examples ILIKE Description Allows matching of strings based on comparison with a pattern. Today I have a small blog post about a neat little function I discovered last week â with thanks to my German colleague, who wants to remain anonymous. It might be some SQL function that Iâd really like to be in SQL Server, it might be something else. In each part, Iâll highlight something that I think itâs interesting enough to share. ![]() Iâm doing a little series on some of the nice features/capabilities in Snowflake (the cloud data warehouse).
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