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ARRAYCROSS Function

Generates a nested array containing the cross-product of all elements in two or more arrays.

  • Input arrays can be referenced as column names or array literals.

  • If Array1 has M elements and Array2 has N elements, the generated array has M X N elements.

Note

Be careful applying this function across columns of large arrays. A limit is automatically applied on large arrays to prevent overloading the browser. Avoid apply the ARRAYCROSS transform to very wide columns.

Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.

Basic Usage

Array literal reference example:

arraycross[["A","B"],["1","2","3"]])

Output: Returns a single array:

[["A","1"],["A","2"],["A","3"],["B","1"],["B","2"],["B","3"]] 

Column reference example:

arraycross(array1,array2,array3)

Output: Returns an array containing a single array listing all combinations of elements between array1, array2, and array3.

Syntax and Arguments

arraycross(array_ref1,array_ref2)

Argument

Required?

Data Type

Description

array_ref1

Y

string or array

Name of first column or first array literal to apply to the function

array_ref2

Y

string or array

Name of second column or second array literal to apply to the function

For more information on syntax standards, see Language Documentation Syntax Notes.

array_ref1, array_ref2

Array literal or name of the array column whose intersection you want to derive.

Usage Notes:

Required?

Data Type

Example Value

Yes

Array literal or column reference

myArray1, myArray2

Examples

Tip

For additional examples, see Common Tasks.

Example - Simple cross example

This example illustrates how to use the nested functions.

Functions:

Item

Description

ARRAYCONCAT Function

Combines the elements of one array with another, listing all elements of the first array before listing all elements of the second array.

ARRAYINTERSECT Function

Generates an array containing all elements that appear in multiple input arrays, referenced as column names or array literals.

ARRAYCROSS Function

Generates a nested array containing the cross-product of all elements in two or more arrays.

ARRAYUNIQUE Function

Generates an array of all unique elements among one or more arrays.

Source:

Code formatting has been applied to improve legibility.

Item

ArrayA

ArrayB

Item1

["A","B","C"]
["1","2","3"]

Item2

["A","B"]
["A","B","C"]

Item3

["D","E","F"]
["4","5","6"]

Transformation:

You can apply the following transforms in the following order. Note that the column names must be different from the transform name, which is a reserved word.

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

ARRAYCONCAT([Letters,Numerals])

Parameter: New column name

'concat2'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

ARRAYINTERSECT([Letters,Numerals])

Parameter: New column name

'intersection2'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

ARRAYCROSS([Letters,Numerals])

Parameter: New column name

'cross2'

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

ARRAYUNIQUE([Letters,Numerals])

Parameter: New column name

'unique2'

Results:

For display purposes, the results table has been broken down into three separate sets of columns.

Column set 1:

Item

ArrayA

ArrayB

concat2

intersection2

Item1

["A","B","C"]

["1","2","3"]
["A","B","C","1","2","3"]

[ ]

Item2

["A","B"]
["A","B","C"]
["A","B","A","B","C"]
["A","B"]

Item3

["D","E","F"]
["4","5","6"]
["D","E","F","4","5","6"]
[ ]

Column set 2:

Item

cross2

Item1

[["A","1"],["A","2"],["A","3"],["B","1"],["B","2"],["B","3"],["C","1"],["C","2"],["C","3"]]

Item2

[["A","A"],["A","B"],["A","C"],["B","A"],["B","B"],["B","C"]]

Item3

[["D","4"],["D","5"],["D","6"],["E","4"],["E","5"],["E","6"], ["F","4"],["F","5"],["F","6"]]

Column set 3:

Item

unique2

Item1

["A","B","C","1","2","3"]

Item2

["A","B","C"]

Item3

["D","E","F","4","5","6"]