isSuperset
Description
Returns true if array1 is a superset of array2, or false otherwise.
- When comparing
array1andarray2, duplicates are discarded. This means two arrays of different lengths but with the same unique elements are considered equal. - Supported element types include
string,bool,number,interval,timestamp,regexp, andenum.
Syntax
Like many functions in DataPrime, isSuperset supports two notations, function and method. These interchangeable forms allow flexibility in how you structure expressions.
- Function notation
- Method notation
isSuperset(array1: array<T>, array2: array<T>): bool
(array1: array<T>).isSuperset(array2: array<T>): bool
Arguments
| Name | Type | Required | Description |
|---|---|---|---|
array1 | array<T> | true | The array to test as a superset |
array2 | array<T> | true | The array to test against, must be fully contained within array1 |
Example
Use case: Verify if all jobs contain the started jobs
Suppose you want to confirm that a list of all jobs includes every job that has been started. Consider the following input:
{
"all_jobs": ["Chris", "John", "Adam", "Ariel", "Zev"],
"started_jobs": ["Chris", "John"]
}
By applying isSuperset, you can verify that all_jobs fully contains the elements in started_jobs.
Example query
- Function notation
- Method notation
create is_superset from isSuperset(all_jobs, started_jobs)
create is_superset from all_jobs.isSuperset(started_jobs)
Example output
The result will include a new field is_superset indicating whether the superset condition is satisfied:
{
"all_jobs": ["Chris", "John", "Adam", "Ariel", "Zev"],
"started_jobs": ["Chris", "John"],
"is_superset": true
}