So, we may identify the employee in the Employee table by seeing at the emp_fname column to check if there is any value that starts with kat. Now the question arises, how do we identify the particular employee from the database? But we know his/her name starts with something like kat. Suppose we want to identify an employee, but we do not accurately remember his/her name. Let us see an example to understand how the PostgreSQL Like condition works: The Like operator behaves like the equal "=" Operator if the pattern does not have any wildcard character.Įxample of PostgreSQL Like Condition using Percent (%) wildcard.If we do not want to specify the escape_character, PostgreSQL assumes that "\" is the escape_character.The Escape character is an optional parameter, which allows us to test for literal instances of a wildcard character such as % (percent) or _ (underscore). The pattern is a character expression, which contains pattern matching.
In the above syntaxes, we have used the following parameters: Parameters In the above syntax, the Not Like condition is used when the value does not match, then the pattern and returns true. In PostgreSQL, the Like condition can be used with the SELECT, INSERT, UPDATE, and DELETE commands and the WHERE clause.Įxpression NOT LIKE pattern Underscore (_) wildcard: To match any single character.Percent (%) wildcard: To match any sequence of zero or more characters.To serve the purpose of patterns matching, the PostgreSQL provides two different wildcard characters, which are as follows: In other words, we can also say that the Like condition is used to perform pattern matching for identifying the exact outcome. The result contains strings, which are case-sensitive and follow the specified pattern. The PostgreSQL Like condition is used to fetch data from a table where the defined condition satisfies the LIKE condition. Introduction of PostgreSQL Like condition In this section, we are going to understand the working of PostgreSQL Like condition which is used to fetch data using pattern matchings, examples of the like condition by using percent (%), underscore (_) wildcards, Not Like Operator, working of ILIKE operator, and the extension of PostgreSQL Like Operator.
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