![]() Snowflake CONTAINS true if string1 contains string2. The LIKE ANY function returns input string matches any of the patterns. You can provide multiple patterns.įollowing is the syntax of Snowflake LIKE ANY. The Snowflake LIKE ANY allows case-sensitive matching of an input string based on comparison with one or more patterns. (select 'doe chaoe' c1 union select 'don chaoe' c1 union all select 'don' c1) as tmp The like all function returns the input string if and only if the input string matches all of the patterns.įor example, consider following query. You can provide multiple patterns.įollowing is the syntax of Snowflake LIKE ALL. The Snowflake LIKE ALL allows case-sensitive matching of an input string based on comparison with one or more patterns. select rlike('98','\\d') is_valid_num from dual It supports more complex matching conditions than LIKE.įollowing example demostrates the telephone number validation. The RLIKE is similar to the LIKE function, but with POSIX extended regular expressions instead of SQL LIKE pattern syntax. Both inputs must be text expressions.įollowing is the syntax of RLIKE statement. The Snowflake RLIKE returns true if the subject matches the specified pattern. Select * from S_STUDENT where city ILIKE '%angalore' Select city like '%angalore' as match from S_STUDENT select * from S_STUDENT where city LIKE '%angalore' ![]() You can prepend the NOT keyword to negate the result return by LIKE condition. The LIKE performs a case-sensitive match and ILIKE performs a case-insensitive match. The LIKE pattern matching searches for a pattern in entire string values provided in the input string. The like compares a string expression such as values in the column.įollowing is the syntax of Snowflake LIKE statement. The pattern uses the wildcard characters % (percent) and _ (underscore). The Snowflake LIKE allows case-sensitive matching of strings based on comparison with a pattern. Now, let us check these operators in brief. Pattern matching conditions are mainly used in WHERE conditions.įollowing are the commonly used pattern matching operators. These conditions are particularly important when you need to search string patterns in your database column values. A pattern-matching operator searches a string for a pattern specified in the conditional expression and returns either Boolean (true/ false) or matching value if it finds a match.
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