Dataweave Interview Question Using Map and Reduce

This article will help you practice your Dataweave skills in Mulesoft. Here we have to convert the input to a specific type of output. Let's get started.

Input:

[

    {

        "param_name": "first",

        "param_value": "second"

    },

    {

        "param_name": "third",

        "param_value": "fourth"

    }

]

Output:

xxxxxxxxxx

{

  "first": "second",

  "third": "fourth"

}

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

Step 1 

The below code is our desired output:

xxxxxxxxxx

[

  {

    "first": "second"

  },

  {

    "third": "fourth"

  }

]

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

xxxxxxxxxx

%dw 2.0

output application/json

---

payload map ((item, index) -> (item.param_name):item.param_value)

Step 2

This will give us the final output. We use the below code to achieve the same:

xxxxxxxxxx

%dw 2.0

output application/json

---

payload map ((item, index) -> (item.param_name):item.param_value) reduce ((item, accumulator) -> accumulator ++ item)

I hope this helps improve your Dataweave skills. Thanks!