621. Task Scheduler
mediumAsked at AirbnbMinimize total time when identical tasks must cool down between runs — Airbnb's host-onboarding pipeline applies this cooling-period logic to ensure the same verification job does not re-run on the same listing until a mandatory review window has passed.
By Alex Chen, Founder, InterviewChamp.AI · Last verified
Problem
You are given a character array tasks representing CPU tasks and a non-negative integer n representing the cooldown period. Return the minimum number of intervals needed to complete all tasks. During any cooldown, the CPU can be idle.
Constraints
1 <= tasks.length <= 10^4tasks[i] is an uppercase English letter0 <= n <= 100
Examples
Example 1
tasks = ["A","A","A","B","B","B"], n = 28Explanation: A -> B -> idle -> A -> B -> idle -> A -> B. Total = 8 intervals.
Example 2
tasks = ["A","A","A","B","B","B"], n = 06Explanation: No cooldown needed; all 6 tasks run back-to-back.
Approaches
1. Greedy simulation with max-heap
Greedily pick the most-frequent available task each cycle. Use a max-heap by frequency and a cooldown queue. Simulate each time unit.
- Time
- O(T * n)
- Space
- O(1)
class MaxHeap {
constructor() { this.h = []; }
push(v) {
this.h.push(v);
let i = this.h.length - 1;
while (i > 0) {
const p = (i - 1) >> 1;
if (this.h[p] >= this.h[i]) break;
[this.h[p], this.h[i]] = [this.h[i], this.h[p]];
i = p;
}
}
pop() {
const top = this.h[0];
const last = this.h.pop();
if (this.h.length) {
this.h[0] = last;
let i = 0;
while (true) {
let s = i, l = 2*i+1, r = 2*i+2;
if (l < this.h.length && this.h[l] > this.h[s]) s = l;
if (r < this.h.length && this.h[r] > this.h[s]) s = r;
if (s === i) break;
[this.h[s], this.h[i]] = [this.h[i], this.h[s]];
i = s;
}
}
return top;
}
size() { return this.h.length; }
}
function leastInterval(tasks, n) {
const freq = new Array(26).fill(0);
for (const t of tasks) freq[t.charCodeAt(0) - 65]++;
const heap = new MaxHeap();
for (const f of freq) if (f > 0) heap.push(f);
let time = 0;
const cooldown = [];
while (heap.size() || cooldown.length) {
time++;
if (heap.size()) {
const f = heap.pop() - 1;
if (f > 0) cooldown.push([f, time + n]);
}
if (cooldown.length && cooldown[0][1] === time) {
heap.push(cooldown.shift()[0]);
}
}
return time;
}Tradeoff:
2. Math formula (O(1) extra space)
The minimum time is determined by the most-frequent task. Formula: max(tasks.length, (maxFreq-1)*(n+1) + countOfMaxFreq). Constant space, no simulation.
- Time
- O(T)
- Space
- O(1)
function leastInterval(tasks, n) {
const freq = new Array(26).fill(0);
for (const t of tasks) freq[t.charCodeAt(0) - 65]++;
freq.sort((a, b) => b - a);
const maxFreq = freq[0];
let countOfMax = 0;
for (const f of freq) { if (f === maxFreq) countOfMax++; else break; }
return Math.max(tasks.length, (maxFreq - 1) * (n + 1) + countOfMax);
}Tradeoff:
Airbnb-specific tips
Airbnb interviewers love the formula approach because it shows mathematical intuition — but start by explaining the simulation to build trust. The key insight: idle slots only appear when the cooldown for the most-frequent task forces waiting; otherwise other tasks fill the gaps. Draw out a frame diagram before coding to make the formula derivation obvious to your interviewer.
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