Get domain from URL to GROUP BY using MySQL

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I have a table filled with URLs. The URLs are in all sorts of formats:,,, etc. But I'm only interested in the domain name itself, so in this case: What I'd like to do is select how many times domain names exists in this table. So something like:

SELECT "whatever the domain is in field 'url'", COUNT(*) AS count
FROM table_with_urls
GROUP BY "whatever the domain is in field 'url'"

There are a few similar questions on Stack Overflow, but nothing really answered this. I can't use LIKE or match something with REGEXP, because I'm not (always) looking for specific domain names to match against, but mostly I just want all domain names from the table along with a total count.

Is this possible using MySQL?

Add another indexed column for 'domain' and when you do an INSERT, store this value separately.

GROUP domain from url in MySql - Databases, this query is fine but it doesn't retrieve domains only, eg. I think i need to use conditional functions here but i'm not mysql guru. Using this search & replace, you can easily extract a domain name from a string in MySQL. This works the same way as in Microsoft Excel: search for a character (one or more '/') inside a string (`url`), remove them from the string, and calculate the difference in length between the strings before and after the subtraction.

i had the same problem and this is what i did:

select SUBSTRING(url from 1 for locate('/',url ,10)-1),count(*) from url_list group by SUBSTRING(url from 1 for locate('/',url ,10)-1);

MySQL: how to easily extract a domain name from a URL, Using this search & replace, you can easily extract a domain name from a string in MySQL. This works the same way as in Microsoft Excel: search for a character​  SQL Extract Domain From Email and Count. Although the above example will return the result, we want to count the number of records for each domain name. Here we used the Group By Clause to group the similar domain names, and then we used the COUNT function to count the number of records in each group.

If you want to install a MySQL extension then

It extracts basically what you'd expect it to

select`get_etld_p1`('');-- ''
select`get_etld_p1`('');-- ''
select`get_etld_p1`('');-- ''
select`get_etld_p1`('https://localhost:10000/index');-- 'localhost'
select`get_etld_p1`('android-app://');-- ''
select`get_etld_p1`('');-- ''
select`get_etld_p1`('postgres://');-- ''
select`get_etld_p1`('');-- ''
select`get_etld_p1`('');-- ''
select`get_etld_p1`('not a domain');-- null

Then, if you wanted that to be performant, you could make a second, denormalizing, column that stores just those values, something like

CREATE TABLE `db`.`sometablewithurls` (
  PRIMARY KEY (`SomeTableWithURLsID`),
DROP TRIGGER IF EXISTS `db`.`sometablewithurls_BEFORE_INSERT`;

USE `db`$$

set new.`_ETLDP1`=ifnull(`get_etld_p1`(new.`URL`),'');

DROP TRIGGER IF EXISTS `db`.`sometablewithurls_BEFORE_UPDATE`;

USE `db`$$

set new.`_ETLDP1`=ifnull(`get_etld_p1`(new.`URL`),'');


Notice the index on the _ETLDP1 (stands for extended top-level domain plus 1), and the trigger updating it both on insert and on update to make sure it keeps up to date even if URL changes.

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Expert PHP and MySQL, example\.com'; The word boundary shorthand (\b) is replaced in MySQL by two a simple regular expression could be used: SELECT * FROM 'forum' WHERE Using. LIB_MYSQLUDF_PREG. The LIB_MYSQLUDF_PREG library is a set of then instead of the domain it will return the index of the start of the first group. MySQL is the world's most popular open-source database. Despite its powerful features, MySQL is simple to set up and easy to use. Below are some instructions to help you get MySQL up and running in a few easy steps. We also explain how to perform some basic operations with MySQL using the mysql client.

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  • It's very difficult to define 'domain name' as you have things like '', '', '', etc. The only accurate way to do it is to have a list of the possible top level domains, and that list is quite long (100s of elements). Can you be more specific by what you mean by 'domain name' in your context?
  • Looking for only 2 in 1:[subdomain]2:[]3:[/whatever]. But I was afraid that it would come to something as matching against all possible TLDs and such.