QUERY
Querying an AirData App Object returns the App Object instances that fit the query parameters.
Query Properties
App Object
Expects type object
.
Sets which AirData App Object will be queried
Paginate Type
If Limit Offset is selected, limits the number of rows returned from a query and omit a specified number of rows.
Paginate Limit
type:
int
description: Limit the number of pages to return in a query
Paginate Offset
type:
int
default: 0
description: Depth into the result set to return
Query Limit
type:
int
default: 100
description: Maximum number of results to return in a given page
Data can be queried using the Visual Query Builder as well as the Expression Editor.

Visual Query Builder
Visual Query Builder provides a visual representation of grouping and querying data in AirData.
The query can either be an AND query or an OR query. AND will query all records if all group conditions are TRUE
. OR will display records if any of the group conditions are TRUE

When Adding groups, fields can be combined to create more precise filters. For example, the image below represents a query that will return all records where the score = 10
AND returning_customer = true
OR score > 8
..

Expression Editor
The Expression Editor allows you to use Airscript to filter the data returned by AirData queries. Queries consist of the following components:
filterKeyWord: the primary name for the filter.
type: the Airkit data type of the field that you wish to query (text, list of texts, etc)
aliases: can be used to clarify the intent of or shorten your query using different filter key words.
For example, the following queries will operate identically:
example query: A valid sample query based on the example datastore.
query returns: A description of what the sample query would return from example datastore.
String matching filters
anyOf
strict equality test
=, in, any, eq
T | Collection where T = type of field
{ "breed": { "anyOf": ["mutt" , "pug"] } }
All dogs exactly matching the string "mutt" or "pug" in the "breed" field.
insensitiveAnyOf
when T is Text, case-insensitive equality; when T is List, unordered equality; otherwise defaults to anyOf behavior
~=, ieq, iEquals, insensitiveEquals, iAnyOf
T | Collection where T = type of field
{ "name": { "insensitiveAnyOf": ["DAISY" , "PENNY"] } }
All dogs with names matching the string "daisy" or "penny" regardless of capitalization.
noneOf
strict inequality test
!=, not, none, neq, !eq
T | Collection where T = type of field
{ "owner": { "noneOf": ["Damon", "Jeff"] } }
All dogs who have an owner that is NOT "Damon" or "Jeff".
like
string contains, only works on text fields
like
T | Collection where T = type of field
{ "name": { "like": "y" } }
Any dog that has the character "y" in their name.
Quantitative filters
lessThan
less than, exclusive
<, lt
T where T = type of field
{ "age": { "lessThan": "5" } }
All dogs who are less than 5 years old.
lessThanOrEqual
less than, inclusive
<=, lte
T where T = type of field
{ "age": { "lessThanOrEqual": "5" } }
All dogs who are strictly younger than 5 years old.
greaterThan
greater than, exclusive
>, gt
T where T = type of field
{ "age": { "greaterThan": "2" } }
All dogs who are strictly older than 2 years.
greaterThanOrEqual
greater than, inclusive
>=, gte
T where T = type of field
{ "age": { "greaterThanOrEqual": "10" } }
All dogs who are at least 10 years old or older.
List/set filters
intersects
matches where any of the elements in the filter also exist in the list
∩, intersect, intersection, intersectionOf
Set where T = type of element type in List * field type must be List
{ "nicknames": { "intersects": [ "dog", "doggy", "Lulu", "doesn’t matter" ] } }
Any entry that has a nickname in the searched array. In our example, it returns entries 2,3,6 & 7.
supersetOf
matches where the field is a superset of any of the provided sets
⊇, superset, overlap, overlaps, overlapsAny, supersetOfAny
Set
Set<Set> where T = type of element type in List * field type must be List
subsetOf
matches where the field is a subset of any of the provided sets
⊆, subset, overlapped, subsetOfAny, overlappedBy
Set
Set<Set> where T = type of element type in List * field type must be List
containsAnyOf
if field is list, matches if any element in this set exists in the field if text, matches if any of the strings are a substring of the field
∈, containsAny
Set
Text where T = type of element type in List * field type must be List
containsAllOf
if field is list, matches if all elements in this set exist in the field if text, matches if all of the strings are a substring of the field
containsAll
Set
Text where T = type of element type in List * field type must be List
containsNoneOf
if field is list, matches if none of the elements in this set exist in the field if text, matches if none of the strings are a substring of the field
∉, containsNone
Set
Text where T = type of element type in List * field type must be List
Sorting data
In order to sort data from Airdata, add a Transform Data Operation downstream of the AirData Request and use a Query Expression to reorder the returned data.
Examples
You can use Airscript to further refine your AirData queries. For example:
You can combine multiple queries to specify your search.
📘 Note: Comma delimited queries function as an AND operation, not OR.
Last updated
Was this helpful?