REDUCE

Iterates over elements in an array, applying a specified lambda function to accumulate a result. This function takes 3 arguments

array: The iterable to be reduced.

LAMBDA: A lambda function with two arguments (previous and current) that defines the reduction operation. Optionally, an expression [expr] can be included for additional computation.

initial_value: an initial value for the accumulator. The reduction starts with this value.

Syntax 

REDUCE(array, LAMBDA(previous_value, current_value, [expr]), initial_value)

Usage examples 

Example 1

Input

1
{
2
"my_array": [
3
1,
4
2,
5
3,
6
4,
7
5,
8
6,
9
7,
10
8,
11
9,
12
10
13
]
14
}

Formula

REDUCE(my_array, LAMBDA(previous_value, current_value, PLUS(previous_value, current_value)), 0)

Output

55

Example 2

Input

1
{
2
"array_of_objects": [
3
{
4
"timestamp": "2022-02-15 12:30:00+0000"
5
},
6
{
7
"user": "bob.smith"
8
},
9
{
10
"src_ip": "192.168.1.100"
11
},
12
{
13
"dest_ip": "172.16.1.23"
14
},
15
{
16
"file_hash": "2968896cb4639d4c839ab802720266d35bb15be93e3a4055109aa3bf1779f591"
17
},
18
{
19
"file_name": "executable.exe"
20
}
21
]
22
}

Formula

REDUCE(array_of_objects, LAMBDA(previous_value, current_value, MERGE(previous_value, current_value)), OBJECT())

Output

1
{
2
"dest_ip": "172.16.1.23",
3
"file_hash": "2968896cb4639d4c839ab802720266d35bb15be93e3a4055109aa3bf1779f591",
4
"file_name": "executable.exe",
5
"src_ip": "192.168.1.100",
6
"timestamp": "2022-02-15 12:30:00+0000",
7
"user": "bob.smith"
8
}

Sample Actions 

Transform
REDUCE
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