%dw 2.0
var firstInput = [
{ "bookId":"101",
"title":"world history",
"price":"19.99"
},
{
"bookId":"202",
"title":"the great outdoors",
"price":"15.99"
}
]
var secondInput = [
{
"bookId":"101",
"author":"john doe"
},
{
"bookId":"202",
"author":"jane doe"
}
]
output application/json
---
firstInput map (firstInputValue) ->
{
theId : firstInputValue.bookId as Number,
theTitle: firstInputValue.title,
thePrice: firstInputValue.price as Number,
(secondInput filter ($.*bookId contains firstInputValue.bookId) map (secondInputValue) -> {
theAuthor : secondInputValue.author
})
}
Merge Fields from Separate Objects
|
DataWeave 2.2 is compatible and bundled with Mule 4.2. This version of Mule reached its End of Life on May 2, 2023, when Extended Support ended. Deployments of new applications to CloudHub that use this version of Mule are no longer allowed. Only in-place updates to applications are permitted. MuleSoft recommends that you upgrade to the latest version of Mule 4 that is in Standard Support so that your applications run with the latest fixes and security enhancements. |
The DataWeave examples merge fields from separate input arrays. The first (firstInput) is a DataWeave variable that lists price by book ID, and the second (secondInput) lists authors by book ID. Each book has a unique bookId key.
Before you begin, note that DataWeave version 2 (%dw 2.0) is for Mule 4 apps. For a
Mule 3 app, refer to DataWeave 1.0
(%dw 1.0) examples,
within the Mule 3.9 documentation set. For other Mule versions, you can use
the Mule Runtime version selector in the table of contents.
The DataWeave scripts produce the same output. Both scripts use two map functions with a filter, and one of them also creates an alias for the bookId:
-
The first
mapfunction iterates over the elements of thefirstInputarray. As the function evaluates each element, a secondmapfunction uses a filter to identify any elements in the second array (secondInput) that match thefiltercriteria (secondInput filter ($.*bookId contains firstInputValue.bookId)). The filter returns an element fromsecondInputthat contains abookIdvalue that matches thebookIdvalue in thefirstInputelement. -
The second
mapfunction evaluates that filtered element and then usessecondInputValue.authorto select and populate the value of its"author"field in the object{author : secondInputValue.author}. -
filterlimits the scope of the secondmapfunction to objects in thesecondInputthat share the samebookId.
As the next script shows, you can also write the same script using an id alias (created with using (id = firstInputValue.bookId)). The alias replaces the selector expression, firstInputValue.bookId, which is longer.
%dw 2.0
var firstInput = [
{ "bookId":"101",
"title":"world history",
"price":"19.99"
},
{
"bookId":"202",
"title":"the great outdoors",
"price":"15.99"
}
]
var secondInput = [
{
"bookId":"101",
"author":"john doe"
},
{
"bookId":"202",
"author":"jane doe"
}
]
output application/json
---
firstInput map (firstInputValue) -> using (id = firstInputValue.bookId)
{
theValue : id as Number,
theTitle: firstInputValue.title,
thePrice: firstInputValue.price as Number,
(secondInput filter ($.*bookId contains id) map (secondInputValue) -> {
theAuthor : secondInputValue.author
})
}
Both scripts produce the same output.
[
{
"theId": 101,
"theTitle": "world history",
"thePrice": 19.99,
"theAuthor": "john doe"
},
{
"theId": 202,
"theTitle": "the great outdoors",
"thePrice": 15.99,
"theAuthor": "jane doe"
}
]



