Generates an array containing all elements that appear in multiple input arrays, referenced as column names or array literals.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Array literal reference example:
arrayintersect([["A","B","C"],["A","D","E"]])
Output: Returns a single array with a single element:
["A"]
Column reference example:
arrayintersect([array1,array2])
Output: Returns a single array listing all of the elements that appear in both array1
and array2
in order.
arrayintersect(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 literal or name of the array column whose intersection you want to derive. You can intersect two or more array columns together.
Usage Notes:
Required? | Data Type | Example Value |
---|---|---|
Yes | Array literal or column reference | |
Sugerencia
For additional examples, see Common Tasks.
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"] |