Array Operations

List manipulation — chunk, flatten, group, map, reduce, zip, and more.

12 modules

Module	Description
Array Chunk	Split array into chunks of specified size
Compact	Remove null/empty values from array
Array Difference	Find elements in first array not in others
Drop	Drop first N elements from array
Array Flatten	Flatten nested arrays into single array
Group By	Group array elements by a key
Array Intersection	Find common elements between arrays
Array Join	Join array elements into string
Array Map	Transform each element in an array
Array Reduce	Reduce array to single value
Take	Take first N elements from array
Zip Arrays	Combine multiple arrays element-wise

Modules

Array Chunk

array.chunk

Split array into chunks of specified size

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
size	number	Yes	10	Number of items per chunk

Output:

Field	Type	Description
result	array	Array of chunks
chunks	number	Array of chunks

Example: Chunk into groups of 3

array: [1, 2, 3, 4, 5, 6, 7, 8, 9]
size: 3

Example: Batch process items

array: ["a", "b", "c", "d", "e"]
size: 2

Compact

array.compact

Remove null/empty values from array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array to compact
remove_empty_strings	boolean	No	True	Remove empty strings
remove_zero	boolean	No	False	Remove empty strings
remove_false	boolean	No	False	Remove zero values

Output:

Field	Type	Description
result	array	Remove false values
removed	number	Compacted array

Array Difference

array.difference

Find elements in first array not in others

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
subtract	array	Yes	-	Arrays containing items to remove from the base array

Output:

Field	Type	Description
result	array	Elements unique to first array
length	number	Elements unique to first array

Example: Find unique elements

array: [1, 2, 3, 4, 5]
subtract: [[2, 4], [5]]

Drop

array.drop

Drop first N elements from array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Source array
count	number	Yes	1	Source array

Output:

Field	Type	Description
result	array	Number of elements to drop
dropped	number	Remaining elements

Array Flatten

array.flatten

Flatten nested arrays into single array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
depth	number	No	1	How many levels of nesting to flatten (-1 for infinite)

Output:

Field	Type	Description
result	array	Flattened array
length	number	Flattened array

Example: Flatten one level

array: [[1, 2], [3, 4], [5, 6]]
depth: 1

Example: Flatten all levels

array: [[1, [2, [3, [4]]]]]
depth: -1

Group By

array.group_by

Group array elements by a key

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of objects to group
key	string	Yes	-	Array of objects to group

Output:

Field	Type	Description
groups	object	Property name to group by
keys	array	Grouped results
count	number	Grouped results

Array Intersection

array.intersection

Find common elements between arrays

Parameters:

Name	Type	Required	Default	Description
arrays	array	Yes	-	Array of arrays to process (for intersection, union)

Output:

Field	Type	Description
result	array	Common elements
length	number	Common elements

Example: Find common elements

arrays: [[1, 2, 3, 4], [2, 3, 5], [2, 3, 6]]

Array Join

array.join

Join array elements into string

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
separator	select (, , ,, , `
,	, - `, ``)	No	,	String to insert between items when joining

Output:

Field	Type	Description
result	string	Joined string

Example: Join with comma

array: ["apple", "banana", "cherry"]
separator: ,

Example: Join with newline

array: ["Line 1", "Line 2", "Line 3"]
separator:

Array Map

array.map

Transform each element in an array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
operation	select (multiply, add, subtract, divide, extract, uppercase, lowercase, trim, tostring, tonumber)	Yes	-	Transformation to apply to each item
value	any	No	-	Value for the operation: number for math operations, field name for extract

Output:

Field	Type	Description
result	array	Transformed array
length	number	Transformed array

Example: Multiply numbers

array: [1, 2, 3, 4, 5]
operation: multiply
value: 2

Example: Extract field from objects

array: [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]
operation: extract
value: name

Array Reduce

array.reduce

Reduce array to single value

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Array of items to process. Can be numbers, strings, or objects.
operation	select (sum, product, average, min, max, count, join, first, last)	Yes	-	How to combine all items into a single value
separator	select (, , ,, , `
,	, - `, ``)	No	,	String to insert between items when joining

Output:

Field	Type	Description
result	any	Reduced value
operation	string	Reduced value

Example: Sum numbers

array: [1, 2, 3, 4, 5]
operation: sum

Example: Join strings

array: ["Hello", "World", "from", "Flyto"]
operation: join
separator:

Take

array.take

Take first N elements from array

Parameters:

Name	Type	Required	Default	Description
array	array	Yes	-	Source array
count	number	Yes	1	Source array

Output:

Field	Type	Description
result	array	Number of elements to take
length	number	Taken elements

Zip Arrays

array.zip

Combine multiple arrays element-wise

Parameters:

Name	Type	Required	Default	Description
arrays	array	Yes	-	Array of arrays to zip
fill_value	any	No	-	Array of arrays to zip

Output:

Field	Type	Description
result	array	Value for missing elements
length	number	Zipped array