setIntersection

Description

Returns the intersection of two arrays, producing a new array with elements common to both.

• Both arrays are treated as sets:

• Duplicates are removed from both arrays

• Order is not preserved in the result
• null is treated as an empty set
• Supported element types include string, bool, number, interval, timestamp, regexp, and enum.

Syntax

Like many functions in DataPrime, setIntersection supports two notations, function and method notation. These interchangeable forms allow flexibility in how you structure expressions.

setIntersection(array1: array<T>, array2: array<T>): array<T>

(array1: array<T>).setIntersection(array2: array<T>): array<T>

Arguments

Example

Use case: Compare observed IPs against a block list

Suppose you collect IP addresses accessing different paths. Consider the following input:

{
    "path": "/home",
    "ip_addresses": ["156.76.87.4", "156.76.12.4", "156.74.1.4"]
},
{
    "path": "/checkout",
    "ip_addresses": ["156.76.87.4"]
}

By applying setIntersection, you can identify which observed IP addresses also appear in a known block list.

create unauthorized_ip_addresses from setIntersection(ip_addresses, ["156.76.12.4", "156.76.87.4"])

create unauthorized_ip_addresses from ip_addresses.setIntersection(["156.76.12.4", "156.76.87.4"])

Output

The result will include a new field unauthorized_ip_addresses showing IPs found in both arrays:

{
    "path": "/home",
    "ip_addresses": ["156.76.87.4", "156.76.12.4", "156.74.1.4"],
    "unauthorized_ip_addresses": ["156.76.87.4", "156.76.12.4"]
},
{
    "path": "/checkout",
    "ip_addresses": ["156.76.87.4"],
    "unauthorized_ip_addresses": []
}