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  4. DataWeave Interview Question: Find Unique Names From the Input

DataWeave Interview Question: Find Unique Names From the Input

A quick tutorial article that shows you the code you need to better work with Dataweave and Mulesoft, focusing on a common interview question.

By 
Gaurav Dubey user avatar
Gaurav Dubey
·
Jan. 29, 21 · Tutorial
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This article will help you practice your DataWeave skills in MuleSoft. Here we will find unique names from our Input. Let's get started.

Input:

JSON
 




x


 
1
[[
2
  {
3
      "name":"john"
4
  },
5
  {
6
      "name":"leonardo"
7
  }
8
  ],
9
  [
10
  {
11
      "name": "leonardo"
12
  },
13
  {
14
      "name": "alicia"
15
  },
16
  {
17
      "name": "jennifer"
18
  },
19
  {
20
      "name": "john"
21
  }
22
]]


Output:

JSON
 




xxxxxxxxxx
1
11
9


 
1
[
2
  "john",
3
  "leonardo",
4
  "alicia",
5
  "jennifer"
6
]


Let's talk about the solution now. We are going to achieve this in multiple steps as follows:

Step 1 Output:

JSON
 




xxxxxxxxxx
1
15
9


 
1
[
2
  "john",
3
  "leonardo",
4
  "leonardo",
5
  "alicia",
6
  "jennifer",
7
  "john"
8
]


In order to get output like this, we will use below code:

Java
 




xxxxxxxxxx
1


 
1
%dw 2.0
2

          
3
output application/json
4

          
5
---
6

          
7
flatten(payload map ((item, index) -> item.name))


Step 2 will have the final output. We will use the below code to achieve the same.

Java
 




xxxxxxxxxx
1


 
1
%dw 2.0
2

          
3
output application/json
4

          
5
---
6

          
7
flatten(payload map ((item, index) -> item.name)) distinctBy ((item, index) -> item)


Hope this helps improve your DataWeave skills. Thanks!

Interview (journalism) JSON Java (programming language) MuleSoft

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Related

  • DataWeave Interview Question: Concatenate Elements of an Array
  • Dataweave Interview Question Using Map and Reduce
  • DataWeave Interview Question: Compare IDs From Two Arrays and Create a New Array
  • Apache Spark 3 to Apache Spark 4 Migration: What Breaks, What Improves, What's Mandatory

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