Search conditions
Search condition is a basic search query building block. It always
consists of 3 elements: field
,
comparison operator
and value
, placed exactly
in this order from left to right.
Here's an example - looking for users with first name "John". In the
example below first_name
is a field
,
=
is a comparison operator
and
"John"
is a value
:
first_name = "John"
Another example, looking for users who registered in 2017 or later:
date_joined >= "2017-01-01"
One more example, looking for super-users:
is_superuser = True
And one more - find all users who's names are in a given list:
first_name in ("John", "Jack", "Jason"){% endblock %}
Multiple search conditions
You can combine multiple search conditions together using logical
operators and
(both conditions must be true) and
or
(at least one of conditions must be true, no matter
which one). Important - logical operators must be written in lowercase:
and
and or
is correct, and AND
or
OR
is incorrect and will cause an error.
Example: looking for users with first name "John" and
registered in 2017 or later. Please note that we have 2 search
conditions here, joined with and
:
first_name = "John" and date_joined >= "2017-01-01"
One more example, looking for users who are either super-users
or
marked with "Staff" flag:
is_superuser = True or is_staff = True
Logical operators can be quite powerful, they let you to build complex
search queries. If you're building a complex query there's an
important tip to keep in mind: if your query contains both
and
and or
operators, we strongly encourage
you to use parenthesis to specify the precedence of operators. Here's
an example to illustrate why this is important. Let's assume that you
want to pull users who are either super-users or
marked
with Staff flag, and
registered in 2017 or later. It
might be tempting to write a query like this:
is_superuser = True or is_staff = True and date_joined > "2017-01-01"
The problem with query above is that it won't do what you expect,
because and
operator is evaluated first. In fact it pulls
users who are either super-users (no matter when they registered)
or
users who are both Staff and
registered
after 2017. This problem can be fixed with parenthesis, just put it
around search conditions that must be evaluated first, like this:
(is_superuser = True or is_staff = True) and date_joined > "2017-01-01"
Using parenthesis is recommended only when your query mixes both
and
and or
operators. If your query contains
multiple logical operators of only one kind (either and
or or
) you can safely omit parenthesis and it would work
as expected.
Fields
In a search query you should reference fields of current model exactly as they're defined in Python code for this particular Django model. Search query input has an auto-completion feature that popups automatically and suggests all available options. If you're not sure what the field name is, then pick one of the options displayed (example):
{% block field_completion_example %}
In most cases internal Django model fields look similar to what you see
in Django admin interface, just in lowercase and with _
instead of spaces. For example, in standard Users admin interface
internal first_name
field is displayed as
First name
, email
field is displayed as
Email address
and so on. However there could be exceptions
from this, if developers have defined custom display names that look
very different from their internal representation. In such cases it
could be a good idea to ask developers to override this help template
and provide an "internal name -> display name" fields mapping right
here.
Note that some fields which you see in Django admin may not be searchable. This includes computed fields, i.e. fields which are not stored in the database as a plain value, but rather calculated from other values in the code.
Related models
DjangoQL allows you to search by related models as well (it
automatically converts relations to SQL joins under the hood). Use
.
dot separator to designate related models and their
fields. For example:
groups.name in ("Marketing", "Support")
See the .
in the example above? It means that
groups
is a related model and name
is a field
of that model. As usual, DjangoQL auto-completion provides suggestions
for all available related models and their fields. For complex data
structures you can use multiple levels of relation, i.e. specifying a
related model, then its related model, and so on.
In most cases search condition with a related model must specify
exact field of that model, but not a related model itself. For example,
groups in ("Marketing", "Support")
won't work, because
groups
is a model and not a field. Models could have many
fields, and the server doesn't know against which field would you like
to perform a comparison. However there's one notable exception from
this - when you'd like to find records which are linked (or not linked)
to any related models of that kind. In such case you should compare
related model to a special None
value, like this:
groups = None
The example above would search for users that don't belong to any
groups. If you'd to find all users that belong to at least any group
instead, use != None
:
groups != None
Comparison operators
Operator | Meaning | Example |
---|---|---|
= | equals | first_name = "John" |
!= | not equals | id != 42 |
~ | contains a substring | email ~ "@gmail.com" |
!~ | not contains a substring | username !~ "test" |
> | greater | date_joined > "2017-02-28" |
>= | greater or equal | id >= 9000 |
< | less | id < 9000 |
<= | less or equal | last_login <= "2017-02-28 14:53" |
in | value is in the list | first_name in ("John", "Jack", "Jason") |
not in | value is not in the list | id not in (42, 9000) |
Notes:
-
~
and!~
operators can be applied to string fields only; -
True
,False
andNone
values can be combined with=
and!=
only; -
in
andnot in
operators must be written in lowercase.IN
orNOT IN
is incorrect and will cause an error.
Values
Type | Examples | Comments |
---|---|---|
string | "this is a string" |
Strings must be enclosed in double quotes, like
"this" . If your string contains double quote
symbols in it, you should escape them with a backslash,
like this: "this is a string with \"quoted\" text" .
|
int | 42 , 0 , -9000 |
Integer numbers are just digits with optional unary minus. If you're typing big numbers please don't use thousand separators, DjangoQL doesn't understand them. |
float |
3.14 , -0.5 , 5.972e24
|
Floating point numbers look like integer numbers with optional
fractional part separated with dot. You can also use
e notation to specify power of ten. For example,
5.972e24 means 5.972 * 1024 .
|
bool |
True , False
|
Boolean is a special type that accepts only two values:
True or False . These values are
case-sensitive, you should write True or
False exactly like this, with the first letter in
uppercase and others in lowercase, without quotes.
|
date |
"2017-02-28"
|
Dates are represented as strings in "YYYY-MM-DD"
format.
|
datetime |
"2017-02-28 14:53" "2017-02-28 14:53:07"
|
Date and time can be represented as a string in
"YYYY-MM-DD HH:MM" format, or optionally with seconds
in "YYYY-MM-DD HH:MM:SS" format (24-hour clock).
Please note that comparisons with date and time are performed in
a server timezone, which is usually UTC.
|
null |
None
|
This is a special value that represents an absense of any value:
None . It should be written exactly like this, with
the first letter in uppercase and others in lowercase, without
quotes. When to use it - when some field in the database is
nullable (i.e. can contain NULL in SQL terms) and you'd like to
search for records which either have no value
(some_field = None ) or have some value
(some_field != None ).
|