Zip Arrays Together
This DataWeave example restructures bills of materials for Ikea-style furniture. The input contains the measurements and amounts of screws in two separate arrays that run in parallel, the transformation reorders them so that the "screws" array is made up of tuples, each with a measurement and its corresponding amount. The same is applied to wooden boards: the input contains two arrays with the x and the y measurements of each; the transformation rearranges them into a series of tuples, one for each board.
Before you begin, note that DataWeave version 2 (%dw 2.0) is for Mule 4 apps. For a
Mule 3 app, refer to DataWeave version 1
(%dw 1.0) examples,
within the Mule 3.9 documentation set. For other Mule versions, you can use
the Mule Runtime version selector in the table of contents.
It uses these DataWeave functions:
-
mapto go through the elements in the main array. -
zipto rearrange pairs of long arrays, so that they’re grouped by index into multiple two-element arrays.
%dw 2.0
output application/json
---
payload map (item, index) ->
{
name: item.name,
id: item.itemID,
screws: zip(item.screws.size, item.screws.quantity),
measurements: zip(item.measurements.x,item.measurements.y )
}[
{
"name":"wooden-chair",
"itemID": "23665",
"screws":{
"size":[4,6,10],
"quantity":[15,8,28]
},
"measurements":
{"x":[25,46, 46, 16,150,5, 100, 100, 8],
"y":[15,4, 4, 80,3, 4, 4, 15]
}
},
{
"name":"cofee-table",
"itemID": "14398",
"screws":{
"size":[3,8,10],
"quantity":[8,12,20]
},
"measurements":
{"x":[55, 48, 48, 48, 48, 30, 30, 30, 30],
"y":[55, 40, 40, 40, 50, 4, 4, 4, 4]
}
}
][
{
"name": "wooden-chair",
"id": "23665",
"screws": [
[
4,
15
],
[
6,
8
],
[
10,
28
]
],
"measurements": [
[
25,
15
],
[
46,
4
],
[
46,
4
],
[
16,
80
],
[
150,
3
],
[
5,
4
],
[
100,
4
],
[
100,
15
]
]
},
{
"name": "cofee-table",
"id": "14398",
"screws": [
[
3,
8
],
[
8,
12
],
[
10,
20
]
],
"measurements": [
[
55,
55
],
[
48,
40
],
[
48,
40
],
[
48,
40
],
[
48,
50
],
[
30,
4
],
[
30,
4
],
[
30,
4
],
[
30,
4
]
]
}
]