I have 3 arrays of 3 different types. Each array contains the count of an id (which might be duplicate like arrayOfB
).
Each id has a limit value of count property is 10 (the count includes different types. Ex: if unique1 has 10 counts in type A, when process type B for unique1, it will be not processed).
const arrayOfA = [
{
"type": "A", "count": 10, "id": "UID1"
},
{
"type": "A", "count": 20, "id": "UID2"
},
{
"type": "A", "count": 1, "id": "UID4"
},
];
const arrayOfB = [
{
"type": "B", "count": 5, "id": "UID1"
},
{
"type": "B", "count": 5, "id": "UID3"
},
];
const arrayOfC = [
{
"type": "C", "count": 6, "id": "UID1"
},
{
"type": "C", "count": 6, "id": "UID4"
},
{
"type": "C", "count": 3, "id": "UID2"
},
{
"type": "C", "count": 3, "id": "UID3"
},
]
The output will be like:
Map {
'UID1|A' => 10,
'UID2|A' => 10,
'UID4|A' => 1,
'UID3|B' => 5,
'UID4|C' => 6 }
I used a set to hold id, which already has the maximum count and map to hold the output.
const maxed = new Set();
const elements = new Map();
arrayOfA.forEach(element => {
if (element.count > 10) {
maxed.add(`${element.id}`);
elements.set(`${element.id}|${element.type}`, 10);
console.log(elements)
return;
}
if (elements.has(`${element.id}|${element.type}`)) {
const newCount = elements.get(`${element.id}|${element.type}`) + element.count;
newCount > 10 ? elements.set(`${element.id}|${element.type}`, 10) : elements.set(`${element.id}|${element.type}`, newCount);
console.log(elements)
return;
}
elements.set(`${element.id}|${element.type}`, element.count);
});
arrayOfB.forEach(element => {
if (maxed.has(`${element.id}`)) {
console.log(elements)
return;
}
const countOfA = elements.has(`${element.id}|A`) ? elements.get(`${element.id}|A`) : 0;
let newCount = countOfA + element.count;
if (elements.has(`${element.id}|${element.type}`)) {
newCount = newCount + element.get(`${element.id}|${element.type}`);
}
if (newCount > 10) {
maxed.add(`${element.id}`);
if ((10 - countOfA) > 0) elements.set(`${element.id}|${element.type}`, 10 - countOfA);
console.log(elements)
return;
}
elements.set(`${element.id}|${element.type}`, element.count);
})
arrayOfC.forEach(element => {
if (maxed.has(`${element.id}`)) {
console.log(elements)
return;
}
const countOfA = elements.has(`${element.id}|A`) ? elements.get(`${element.id}|A`) : 0
const countOfB = elements.has(`${element.id}|C`) ? elements.get(`${element.id}|C`) : 0
let newCount = countOfA + countOfB + element.count;
if (elements.has(`${element.id}|${element.type}`)) {
newCount = newCount + element.get(`${element.id}|${element.type}`);
}
if (newCount > 10) {
maxed.add(`${element.id}`);
if ((10 - countOfA - countOfB) > 0); elements.set(`${element.id}|${element.type}`, 10 - countOfA - countOfB);
console.log(elements)
return;
}
elements.set(`${element.id}|${element.type}`, element.count);
})
I want to ask about another faster implementation if any. I estimated my big O will be O(n) (n is the total length of 3 arrays). If elements of arrays do not contain the same id.
Edit: Big thanks to you all, but seems like there's one edge case. The answers couldn't handle
var arrayOfA = [
{
"type": "A", "count": 10, "id": "UID1"
},
{
"type": "A", "count": 20, "id": "UID2"
},
{
"type": "A", "count": 1, "id": "UID4"
},
];
const arrayOfB = [
{
"type": "B", "count": 5, "id": "UID1"
},
{
"type": "B", "count": 5, "id": "UID3"
},
{
"type": "B", "count": 1, "id": "UID3"
},
];
var arrayOfC = [
{
"type": "C", "count": 6, "id": "UID1"
},
{
"type": "C", "count": 6, "id": "UID4"
},
{
"type": "C", "count": 3, "id": "UID2"
},
{
"type": "C", "count": 3, "id": "UID3"
},
]
In arrayOfB, I have the UID3 occurs twice, so your answers doesn't seem to work on that case.
Instead of a Set
for a maxed
id
, you could sum the count
for every id
and use it for all following arrays.
const getKey = (...a) => a.join('|'), rawData = [{ type: "A", count: 10, id: "UID1" }, { type: "A", count: 20, id: "UID2" }, { type: "A", count: 1, id: "UID4" }], rawData3 = [{ type: "B", count: 5, id: "UID1" }, { type: "B", count: 5, id: "UID3" }], rawData2 = [{ type: "C", count: 6, id: "UID1" }, { type: "C", count: 6, id: "UID4" }, { type: "C", count: 3, id: "UID2" }, { type: "C", count: 3, id: "UID3" }], elements = new Map, sums = new Map; [rawData, rawData3, rawData2].forEach(a => a.forEach(({ type, count, id }) => { var sum = sums.get(id) || 0, key = getKey(id, type); sums.set(id, sum + count); if (sum >= 10) return; if (sum + count > 10) { if (10 - sum > 0) elements.set(key, 10 - sum); return; } elements.set(key, count); })); [...elements].map(a => console.log(a.join(': ')));
.as-console-wrapper { max-height: 100% !important; top: 0; }
Based on the assumption that you have missed to include "B" in your expected results set, two nested loops can provide the manipulation and filtering you want.
function getIdSummary(arrays) { const maxValue = 10; //Array of objects which we later conver to a map //The aim is ease of indexing during the iterations var summary = [] //A heler to find if a maxed uid is found in the summary function isMaxed(uid) { return summary.some(item => { return item.uid === uid && item.count >= maxValue; }) } //Iterate all the arrays arrays.forEach(anInputArray => { //Iterate each array anInputArray.forEach(item => { if (!isMaxed(item.id)) { summary.push({uid: item.id, type: item.type, count: item.count > maxValue ? 10 : item.count}) } }) }) return new Map(summary.map(obj => { return [obj.uid + '|' + obj.type, obj.count] })) } var arrayOfA = [ { "type": "A", "count": 10, "id": "UID1" }, { "type": "A", "count": 20, "id": "UID2" }, { "type": "A", "count": 1, "id": "UID4" }, ]; const arrayOfB = [ { "type": "B", "count": 5, "id": "UID1" }, { "type": "B", "count": 5, "id": "UID3" }, ]; var arrayOfC = [ { "type": "C", "count": 6, "id": "UID1" }, { "type": "C", "count": 6, "id": "UID4" }, { "type": "C", "count": 3, "id": "UID2" }, { "type": "C", "count": 3, "id": "UID3" }, ] var m = getIdSummary([arrayOfA, arrayOfB, arrayOfC]); console.log(Array.from(m));
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