pyflink.table.expression.Expression.similar

Expression.similar(pattern: Optional[Union[str, pyflink.table.expression.Expression[str]]] = None) → pyflink.table.expression.Expression[bool]

Returns true, if a string matches the specified SQL regex pattern. e.g. ‘A+’ matches all strings that consist of at least one A

See also

trim_leading(), trim_trailing(), trim(), replace(), char_length, upper_case, lower_case, init_cap, like(), similar(), position(), lpad(), rpad(), overlay(), regexp_replace(), regexp_extract(), substring(), from_base64, to_base64, ltrim, rtrim, repeat()

New in version 1.12.0.