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.
注記
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 | |
Examples
ヒント
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 | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | ARRAYCONCAT([Letters,Numerals]) |
Parameter: New column name | 'concat2' |
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | ARRAYINTERSECT([Letters,Numerals]) |
Parameter: New column name | 'intersection2' |
Transformation Name | |
|---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | ARRAYCROSS([Letters,Numerals]) |
Parameter: New column name | 'cross2' |
Transformation Name | |
|---|---|
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 | | ["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"] |