AQL Operators

A key component of AQL's query syntax involves the utilization of operators to generate more precise metrics.

Logical Operator

These operators serve to compare values and yield a truefalse result.

Text

Operator	Example	Description
== is	products.name == 'Dandelion' products.name is 'Dandelion'	Equal to
!= is not	products.name != 'Rock' products.name is not 'Rock'	Not equal to
like	products.name like '%Dan'	Match the pattern specified
not like	products.name not like '%Dan'	Not match the pattern specified
ilike	products.name ilike '%dan'	Match the pattern specified, case insensitive
not ilike	products.name not ilike '%dan'	Not match the pattern specified, case insensitive
is null	products.name is null	Include if the value is null
is not null	products.name is not null	Include if the value is not null

List

Operator	Example	Description
in	products.name in ['Dandelion', 'Rock']	Include if the value is in the list
not in	products.name not in ['Dandelion', 'Rock']	Include if the value is not in the list

Truefalse

Operator	Example	Description
is	orders.is_paid is true	Equal to
is not	orders.is_paid is not true	Not equal to
is null	orders.is_paid is null	Include if null
is not null	orders.is_paid is not null	Include if is not null

Number

Operator	Example	Description
== is	order_items.discount == 0.5 order_items.discount is 0.5	Equal to
!= is not	order_items.discount != 1 order_items.discount is not 1	Not equal to
>	order_items.discount > 0.5	Greater than
<	order_items.discount < 0.5	Less than
is null	order_items.discount is null	Include if null
is not null	order_items.discount is not null	Include if is not null

Datetime

Right hand side of datetime operator takes a datetime scalar type as input and always starts with @ token. Datetimes can be expressed in a fully supported format as @YYYY-MM-DD HH:MM:SS, in shorter variations like @YYYY-MM, or relative datetime

Operator	Example	Meaning	Description
==	- orders.created_at == @2022 - orders.created_at == @(last 7 days)	- orders.created_at equal to 2022-01-01 00:00:00 - orders_created_at equal to the first timestamp of the last 7 days	Convert the condition input to an absolute timestamp, and include data that match this condition
is matches match	- orders.created_at is @2022 - orders.created_at match @(last 7 days)	- orders.created_at is in the period of the year 2022 - order.created_at is in the period of the last 7 days	Convert the condition input to a time period, and include data that match this condition
!=	orders.created_at != @2022-01	- orders.created_at is not equal to 2022-01-01 00:00:00	Convert the condition input to an absolute timestamp, and exclude data that match this condition
<	orders.created_at < @2022	- orders.created_at is before the year 2022	Include data that are before a specific time period
>	orders.created_at > @(yesterday)	- orders.created_at is after yesterday	Include data that are after a specific time period
is not	orders.created_at is not @2022-01	- orders.created_at is not in the period of 2022-01	Convert the condition input to a time period, and exclude data that match this condition
is null	orders.created_at is null	- orders.created_at is not in the period of 2022-01	Include if the value is null
is not null	orders.created_at is not null	- orders.created_at is not in the period of 2022-01	Include if the value is not null

Pipe Operator

In AQL, we use the pipe | operator to combine multiple expressions into a pipeline in which the output of the previous expression will become the input for the next expression.

Example:

orders | filter(orders.country = 'Singapore') | sum(orders.total_value)

Check AQL Pipe for more information on using pipe