%dw 2.0
output application/json
fun reduceMapFor(data) = data reduce (($$ splitBy ":")[0] ++ "," ++ ($ splitBy ":")[0])
---
payload.results map() ->
{
email: $.profile.email,
name: $.profile.firstName,
tags: reduceMapFor($.data.interests.tags[0]),
(contenttypes: reduceMapFor($.data.interests.contenttypes[0])) if(sizeOf($.data.interests.contenttypes[0]) > 0)
}
Define a Function that Flattens Data in a List
When presented with nested structures of data, you might need to reduce (or "flatten") the data in them to produce a simpler output. Before you begin, note that 2.x versions of DataWeave are used by Mule 4 apps. For DataWeave in Mule 3 apps, refer to DataWeave version 1.2 examples. For other DataWeave versions, you can use the version selector in the DataWeave table of contents.
This DataWeave example
flattens the data in the interests
and contenttypes
arrays with the function
that is defined in the header, and it only outputs contenttypes
when it is not
empty.
The example uses these functions:
-
map
to go through a set elements in the input. -
reduce
to flatten the arrays. -
if
to conditionally display a field. -
splitBy
to parse the input.
{
"results": [
{
"profile": {
"firstName": "john",
"lastName": "doe",
"email": "johndoe@demo.com"
},
"data": {
"interests": [
{
"language": "English",
"tags": [
"digital-strategy:Digital Strategy",
"innovation:Innovation"
],
"contenttypes": []
}
]
}
},
{
"profile": {
"firstName": "jane",
"lastName": "doe",
"email": "janedoe@demo.com"
},
"data": {
"interests": [
{
"language": "English",
"tags": [
"tax-reform:Tax Reform",
"retail-health:Retail Health"
],
"contenttypes": [
"News",
"Analysis",
"Case studies",
"Press releases"
]
}
]
}
}
],
"objectsCount": 2,
"totalCount": 2,
"statusCode": 200,
"errorCode": 0,
"statusReason": "OK"
}
[
{
"email": "johndoe@demo.com",
"name": "john",
"tags": "digital-strategy,innovation"
},
{
"email": "janedoe@demo.com",
"name": "jane",
"tags": "tax-reform,retail-health",
"contenttypes": "News,Analysis,Case studies,Press releases"
}
]