![]() ![]() Next we want to return all strings starting with “Hello”, so we whip out the LIKE function:Īlas, it returns only one row, because Snowflake is case-sensitive by default. LIKE is a standard SQL operator, where as ILIKE is only implemented in certain databases such as PostgreSQL and Snowflake. There are two main differences between the two: ILIKE is case-insensitive whereas LIKE is case-sensitive. First we create a small table with some sample data: The ILIKE operator is very similar to the LIKE operator in that both are for pattern matching. The function is called ILIKE and it is syntactic sugar for the combination of UPPER and LIKE. LIKE ANY, ILIKE ANY and RLIKE ANY all perform similar operations. Unlike, the ILIKE ANY () function, string matching is case-insensitive. Today I have a small blog post about a neat little function I discovered last week – with thanks to my German colleague, who wants to remain anonymous. How to use ILIKE ANY Function in Snowflake ILIKE ANY () function is used to allow matching of strings based on comparison with the given patterns. However, RLIKE uses POSIX EXE syntax instead of SQL Pattern used by ILIKE and LIKE. ![]() LIKE, ILIKE, and RLIKE all perform similar operations. Unlike the LIKE () function, string matching is case-insensitive. To match a sequence anywhere within a string, start and end the pattern with. How to use ILIKE () Function in Snowflake ILIKE () function is used to allow the matching of strings based on comparison with a pattern. If the input string matches any of the patterns, this returns the input string. Dr Ken Libbrecht is the world expert on snowflakes, designer of custom snowflakes, snowflake consultant for the movie Frozen - his photos appear on postage s. It might be some SQL function that I’d really like to be in SQL Server, it might be something else. ILIKE pattern matching covers the entire string. Allows case-sensitive matching of strings based on comparison with one or more patterns. This is also Snowflake's default variation when using timestamp in general. One of our team's mantras is 'timezones are the worst' and we defaulted to using timestampntz ('no time zone') wherever possible. In each part, I’ll highlight something that I think it’s interesting enough to share. Snowflake has multiple timestamp variations, encoding timezone information differently. Unlike the LIKE function, string matching is case-insensitive. I’m doing a little series on some of the nice features/capabilities in Snowflake (the cloud data warehouse). Allows matching of strings based on comparison with a pattern. ![]()
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