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.
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Join For FreeThis 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:
JSON
x
19
1
[
2
{
3
"param_name": "first",
4
"param_value": "second"
5
},
6
{
7
"param_name": "third",
8
"param_value": "fourth"
9
}
10
]
Output:
JSON
xxxxxxxxxx
1
1
{
2
"first": "second",
3
"third": "fourth"
4
}
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:
JSON
xxxxxxxxxx
1
15
9
1
[
2
{
3
"first": "second"
4
},
5
{
6
"third": "fourth"
7
}
8
]
In order to get output like this, we will use the below code:
Java
xxxxxxxxxx
1
1
%dw 2.0
2
3
output application/json
4
5
---
6
7
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:
Java
xxxxxxxxxx
1
1
%dw 2.0
2
3
output application/json
4
5
---
6
7
payload map ((item, index) -> (item.param_name):item.param_value) reduce ((item, accumulator) -> accumulator ++ item)
I hope this helps improve your Dataweave skills. Thanks!
Interview (journalism)
JSON
Java (programming language)
Convert (command)
MuleSoft
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