In DPQL you can use the LIKE operator in the WHERE clause to check for certain patterns.
You would use it alongside wildcards:
% represents any number of characters
_ represents one character
Examples
Tickets from a single email domain
An example of this you could use would be if you wanted to look at all tickets from users under a specific email domain.
The query below wouldn't work as the email address is incomplete:
SELECT Tickets.id, tickets.person.emails.email
FROM tickets
WHERE tickets.person.emails.email = 'deskpro.com'
However if rather than = we use Like and the % wildcard we can pull all emails that end in deskpro.com
SELECT Tickets.id, tickets.person.emails.email
FROM tickets
WHERE tickets.person.emails.email LIKE '%deskpro.com'
Tickets from similar email domains
Similarly if we wanted to pull all tickets submitted from Deskpro.com and Deskpro.co.uk we could use the following as the second % would bypass the characters specified after deskpro:
SELECT Tickets.id, tickets.person.emails.email
FROM tickets
WHERE tickets.person.emails.email LIKE '%deskpro%'
Wildcard Variations
Different wildcard variations that return support@deskpro.com :
| WHERE | LIKE | Description |
| WHERE person.emails.email | LIKE 'Support%' | Any values that begin with support |
| WHERE person.emails.email | LIKE '%Deskpro.com' | Any values that end with deskpro.com |
| WHERE person.emails.email | LIKE '%Deskpro%' | Any values that contain Deskpro |
| WHERE person.emails.email | LIKE 's%m' | Any value that starts with S and ends with M |
| WHERE person.emails.email | LIKE '_u%' | Any value that has a U at the second position |
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