I have two JSON files: JSON A has some company properties and the company_id, while JSON B has company names and company ids.
JSON A example:
[
{
"order_name": "Foo",
"company_id": "112233"
},
{
"order_name": "Bar",
"company_id": "123456"
}
]
JSONB example:
[
{
"company_id":"112233",
"name":"ACME company",
},
{
"company_id":"123456",
"name":"John Doe Inc.",
}
]
Which is the most efficient way to do a join by the company_id
values? I would like to have the JSON C (merged result) with the company names correctly added, like this:
[
{
"order_name": "Foo",
"company_id": "123456",
"company_name": "John Doe Inc."
},
{
"order_name": "Bar",
"company_id": "112233",
"company_name": "ACME company"
}
]
Is looping and filter for each the only solution? Is there a more efficient way to do this from a performance point of view?
More info:
- JSON is not sorted by company_id.
- Array A could have more than one object with the same
company_id
- I’m using Javascript (in a Vue.js app), I don’t need to support old browsers
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Answer
In common modern JavaScript, you can do this as you mentioned with higher-order functions like map
, filter
, and so on:
const arrayA = [
{
"order_name": "Foo",
"company_id": "112233"
},
{
"order_name": "Bar",
"company_id": "123456"
}
]
const arrayB = [
{
"company_id":"112233",
"name":"ACME company",
},
{
"company_id":"123456",
"name":"John Doe Inc.",
}
]
const mergeAB = arrayA.map( companyA => {
const matched = arrayB.find(companyB => companyB.company_id === companyA.company_id)
if(matched) {
return {companyA, matched}
} else {
// return companyA element or customize it with your case
}
}
)
console.log(mergeAB)
Note 1: Array.find()
method complexity is O(n) and Array.map()
method complexity is O(n)
Note 2: efficiency is an important thing but not in all situations. sometimes you need to do these types of iteration one time or for a small array size, so no need to worry about the performance.
Note 3: you could compare the answer and find out your best solution since we don’t know about your whole code and application.