isSubset
Description
Returns true if array1 is a subset 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, isSubset supports two notations, function and method. These interchangeable forms allow flexibility in how you structure expressions.
- Function notation
- Method notation
isSubset(array1: array<T>, array2: array<T>): bool
(array1: array<T>).isSubset(array2: array<T>): bool
Arguments
| Name | Type | Required | Description |
|---|---|---|---|
array1 | array<T> | true | The array to test as a subset |
array2 | array<T> | true | The array to test against, must contain all elements of array1 |
Example
Use case: Verify if started jobs are part of all jobs
Suppose you want to confirm that a list of started jobs is fully contained within the list of all jobs. Consider the following input:
{
"all_jobs": ["Chris", "Quinn", "Flo", "Meta", "Neo"],
"started_jobs": ["Chris", "Quinn"]
}
By applying isSubset, you can check if every element of started_jobs exists within all_jobs.
Example query
- Function notation
- Method notation
create is_subset from isSubset(started_jobs, all_jobs)
create is_subset from started_jobs.isSubset(all_jobs)
Example output
The result will include a new field is_subset indicating whether the subset condition is satisfied:
{
"all_jobs": ["Chris", "Quinn", "Flo", "Meta", "Neo"],
"started_jobs": ["Chris", "Quinn"],
"is_subset": true
}