Introduction to PostgreSQL REGEXP_MATCHES()
The regular expression is a sequence of characters which is the short name for the list of strings. If any string is matching with the any of the string which is part of the list of the strings that are defined by the regular expression. It supports the regular expression and the function PostgreSQL REGEXP_MATCHES() provided by PostgreSQL is used to get all of the result strings from the regular expression. It is using a POSIX regular expression pattern.
regexp_matches(input_string, pattern [, flags ])
- input_string: This defines the input string from which we want to extract all matched substrings for a specified pattern which is a POSIX regular expression.
- pattern: This defines the POSIX regular expression to match the string.
- flags: This flag is used to control the behavior of the REGEXP_MATCHES() function. This can have the value of one or more characters.
How does PostgreSQL REGEXP_MATCHES() Function work?
- It returns no of rows if the pattern defined in the regular expression does not match with the input string.
- It returns a text array of single-element which contains the substring which matches with the pattern specified if the pattern defined in the regular expression is without the sub expressions containing parenthesis.
- The REGEXP_MATCHES() function has a flags parameter, which is optional. The flag parameter contains zero or more characters. The flags parameter changes the REGEXP_MATCHES() function’s behavior.
- If the output of the PostgreSQL REGEXP_MATCHES() function a single element still then it returns a set of text.
Examples of PostgreSQL REGEXP_MATCHES()
Given below are the examples:
We are having a post related to trending content for current educational views as follows:
‘#EduCBA is best learning platform for #PostgreSQL’
We can extract substrings from the above text by using the PostgreSQL REGEXP_MATCHES() function as follows, which actually returns us all string containing hashtag in the given string.
SELECT REGEXP_MATCHES('#EduCBA is best learning platform for #PostgreSQL', '#([A-Za-z0-9]+)', 'g');
The output contains ‘#eduCBA’ and ‘#PostgreSQL’ string which means these are the matching strings with regular expression defined in pattern. In the above example, the regular expression is “([A-Za-z0-9]+)” which matches the string which begins with a character hash(#) and is followed by any alphanumeric characters. We have used the ‘g’ flag which is used for performing the global search which means it allows to search for each occurrence not only the first one.
The PostgreSQL REGEXP_MATCHES() function returns result in array form but not int a string format.
The resulting array will have the groups if we use groups to return the string parts as follows:
Illustrate the result of the above statement by using the following snapshot.
We will create a table named ‘student’ by using the CREATE TABLE statement as follows:
create table student
stud_id serial PRIMARY KEY,
stud_fname VARCHAR(80) NOT NULL,
stud_lname VARCHAR(80) NOT NULL
Now, we will insert some data into the student table by using the INSERT INTO statement as follows:
INSERT INTO student(stud_fname,stud_lname)
Illustrate the result of the above INSERT statement by using the following SQL statement and snapshot.
select * from student;
Consider the following SQL statement which matched the ‘Jo’ pattern from stud_lname column and returns the result as ‘Jo’ if the pattern matched otherwise return as NULL.
SELECT stud_fname, (SELECT regexp_matches(stud_lname, '(Jo)')) FROM student;
Advantages of PostgreSQL REGEXP_MATCHES()
Given below are the advantages:
1. The PostgreSQL REGEXP_MATCHES() function supports various flags.
Consider examples like:
- flag ‘i’ : match case-insensitively.
- flag ‘g’: search globally for each occurrence.
2. The PostgreSQL REGEXP_MATCHES() function returns no row, one row, or multiple rows as per the pattern defined.
3. We can use The PostgreSQL REGEXP_MATCHES() function to search all occurrence required string or only first one or we can search for at any position.
4. We can use the regular expression to extract the column values of a table as well.
5. We can use the PostgreSQL REGEXP_MATCHES() function for validity purpose.
6. We can use it to perform complicated tasks like string search with random characters.
Here we have seen how to use the PostgreSQL REGEXP_MATCHES() function and how the function works. Also, we have added several examples of PostgreSQL REGEXP_MATCHES() function.
This is a guide to PostgreSQL REGEXP_MATCHES(). Here we discuss the introduction to PostgreSQL REGEXP_MATCHES() along with working and advantages. You may also have a look at the following articles to learn more –