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  4. Conditionally Reduce a List Via a Function

Conditionally Reduce a List through a Function

This DataWeave example flattens the input to something simpler. For each element in the input, it conditionally includes a contentTypes field only in case it has any values. It then rearranges this content into a more readable shape. 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.

The examples use these functions:

  • map to go through every element in the input array.

  • reduce to aggregate the multiple elements in the tags array into one field.

  • splitBy to parse the values in the "tags" array, so as to only select the first part of each string (through [0]) and discard the second.

  • ++ to concatenate these elements into one single string, with commas as separators.

  • if include the last field only if the contentTypes array is bigger than 0.

DataWeave Script:
%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)
    }
Input JSON Payload:
{
  "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"
}
Output JSON:
[
  {
    "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"
  }
]

See Also