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Using the LIKE Operator and Wildcards

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Publié: 25 juin 2019|Dernière mise à jour: 3 nov. 2022

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'
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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'
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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%'
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Wildcard Variations

You can play around with the way you use wildcards to return values in different scenarios.

Below are some 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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