01-25-2019 12:50 AM
Input json :-[
{
“e_no”: “1”,
“email”: “abc@gmail.com”,
“country”: “India”,
“firstname”: “A”,
“last name”: “B”,
“data”: [
{
“e_no”: “12”,
“email”: “abc4@gmail.com”,
“country”: “India”,
“firstname”: “A”,
“last name”: “c”
},
{
“e_no”: “13”,
“email”: “abc3@gmail.com”,
“country”: “US”,
“firstname”: “A”,
“last name”: “d”
},
{
“e_no”: “14”,
“email”: “abc2@gmail.com”,
“country”: “India”,
“firstname”: “A”,
“last name”: “n”
},
{
“e_no”: “15”,
“email”: “abc1@gmail.com”,
“country”: “UK”,
“firstname”: “A”,
“last name”: “f”
}
]
},
{
“e_no”: “4”,
“email”: “a@gmail.com”,
“country”: “India”,
“firstname”: “c”,
“last name”: “D”
},
{
“e_no”: “5”,
“email”: “b@gmail.com”,
“country”: “US”,
“firstname”: “C”,
“last name”: “D”
}
]
Output JSON required :-
[
{
“e_no”: “1”,
“email”: “abc@gmail.com”,
“country”: “India”,
“firstname”: “A”,
“last name”: “B”,
“data”: [
{
“e_no”: “12”,
“email”: “abc4@gmail.com”,
“country”: “India”,
“firstname”: “A”,
“last name”: “c”,
“age”:“12”
},
{
“e_no”: “13”,
“email”: “abc3@gmail.com”,
“country”: “US”,
“firstname”: “A”,
“last name”: “d”,
“age”:“13”
},
{
“e_no”: “14”,
“email”: “abc2@gmail.com”,
“country”: “India”,
“firstname”: “A”,
“last name”: “n”,
“age”:“14”
},
{
“e_no”: “15”,
“email”: “abc1@gmail.com”,
“country”: “UK”,
“firstname”: “A”,
“last name”: “f”,
“age”:“15”
}
]
},
{
“e_no”: “4”,
“email”: “a@gmail.com”,
“country”: “India”,
“firstname”: “c”,
“last name”: “D”
},
{
“e_no”: “5”,
“email”: “b@gmail.com”,
“country”: “US”,
“firstname”: “C”,
“last name”: “D”
}
]
wanted to add element in array with values of e_no.
01-25-2019 08:33 AM
Looks like a frustrated emoji on the end of that line 😄
If I understand you correctly, you want to add a new field called age
to each element in your input as well as any field called data
in an input document. To do this you can use the map
function on the data
array to apply a transformation to each element of the array.
Here’s what it looks like in the expression language:
$.data.map(e => e.extend({'age': e.e_no}))
This says, for each element of $.data
extend it with a new field called age
that is just a mapping of e_no
. Putting this in the mapper will look like
Note that this will also append a data field to each element of the array. If it was missing, then the value will be null
. You could filter these out downstream if you like.
01-25-2019 10:01 AM
A colleague (HT @tstack) mentioned an alternative method that’s a bit simpler. You could use a mapper with the Mapping Root set to $.data[*]
and the just map e_no
to age
in the mapper. Attaching an example pipeline to illustrate the idea.
eno-to-age_2019_01_25.slp (5.8 KB)
01-26-2019 07:59 AM
Hi @tlikarish
Thank you for providing solution.it worked.
09-20-2021 06:28 AM
What needs to be done if i want to add one more record in this array for example
{
“e_no”: “6”,
“email”: “c@gmail.com”,
“country”: “US”,
“firstname”: “C”,
“last name”: “D”
}