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Count Commas in Range II - Solution & Explanation

MediumMath6 min read
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Problem Statement

You are given an integer n.

Return the total number of commas used when writing all integers from [1, n] (inclusive) in standard number formatting.

In standard formatting:

  • A comma is inserted after every three digits from the right.
  • Numbers with fewer than 4 digits contain no commas.

 

Example 1:

Input: n = 1002

Output: 3

Explanation:

The numbers "1,000", "1,001", and "1,002" each contain one comma, giving a total of 3.

Example 2:

Input: n = 998

Output: 0

Explanation:

​​​​​​​All numbers from 1 to 998 have fewer than four digits. Therefore, no commas are used.

 

Constraints:

  • 1 <= n <= 1015

Approach Overview

Problem Overview: Given a range [l, r], count how many comma separators appear when every integer in that range is written using standard thousands formatting (e.g., 1,234, 12,345,678). Numbers gain one comma for every group of three digits after the first group.

Approach 1: Direct Simulation (O(n log n) time, O(1) space)

The most straightforward method is to iterate from l to r, compute the digit length of each number, and derive how many commas it contains. A number with d digits contributes floor((d-1)/3) commas. For example, 4–6 digit numbers have one comma, 7–9 digit numbers have two. During iteration you compute the digit count (using log10 or string length) and accumulate the comma contribution. This works for small ranges but becomes too slow if r - l is large because every number is processed individually.

Approach 2: Mathematical Range Counting (O(log10 r) time, O(1) space)

A more efficient approach counts numbers by digit groups instead of iterating through the range. Commas appear when numbers cross powers of 10^3. For example, numbers from 1,000 to 999,999 contain exactly one comma, while numbers from 1,000,000 to 999,999,999 contain two. For each comma level k, determine the interval [10^{3k}, 10^{3(k+1)} - 1]. Intersect that interval with the query range [l, r] and count how many numbers fall inside it. Each of those numbers contributes k commas. Summing these contributions across all possible k values produces the total. Since the number of comma levels is small (at most ~6 for 64-bit numbers), the algorithm runs in logarithmic time.

This technique relies on simple digit math and range intersection rather than iteration. Problems like this are classic applications of math reasoning combined with digit-length analysis. You treat the number line as blocks defined by powers of ten and compute contributions per block.

Recommended for interviews: Interviewers expect the mathematical counting approach. Starting with the brute-force idea shows understanding of how commas relate to digit length. The optimized method demonstrates the real skill: recognizing numeric thresholds (10^3, 10^6, 10^9) and aggregating counts using mathematical range analysis instead of iterating through every number.

Solution

Based on the problem description, we can observe the following pattern:

  • Numbers in the range [1, 999] contain no commas;
  • Numbers in the range [1,000, 999,999] contain one comma;
  • Numbers in the range [1,000,000, 999,999,999] contain two commas;
  • And so on.

Therefore, we can start from x = 1000 and multiply x by 1000 each time until x exceeds n. In each iteration, there are n - x + 1 numbers that newly gain one comma, and we accumulate their count into the answer.

The time complexity is O(log n), and the space complexity is O(1).

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Detailed Complexity Analysis

ApproachTimeSpaceWhen to Use
Direct SimulationO(n log n)O(1)Small ranges where iterating from l to r is feasible
Mathematical Range CountingO(log10 r)O(1)Large ranges where counting by digit thresholds is required

Video Solution

Leetcode Weekly Contest 493 || Q1, Q2, Q3, Q4 || DSU, Prefix Suffix Array || C++ || Watch 2X šŸš€ • Rajan Keshari ( CSE - IIT Dhanbad ) • 1,852 views views

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Frequently Asked Questions

Is Count Commas in Range II easy or hard?
The problem is typically rated Medium. The logic behind commas per number is simple, but efficiently counting them across a large range requires recognizing digit thresholds and applying mathematical range aggregation.
Count Commas in Range II Python/Java solution
Most implementations compute thresholds such as 10^3, 10^6, and 10^9, then calculate the overlap with the input range. The logic is identical across Python, Java, C++, Go, and TypeScript since it only uses loops and integer arithmetic.
How to solve Count Commas in Range II in O(log n)?
Instead of checking every number, divide the number line into intervals like [10^3, 10^6-1], [10^6, 10^9-1], etc. For each interval, compute its overlap with the query range [l, r]. Multiply the count of numbers in that overlap by the number of commas each number contributes.
What is the best approach for Count Commas in Range II?
The most efficient solution uses mathematical range counting based on digit thresholds. Numbers gain commas at 1,000, 1,000,000, 1,000,000,000, and so on. By counting how many numbers in the range fall into each comma group, you can compute the total in O(log10 r) time and O(1) space.
Is Count Commas in Range II asked at Google/Amazon/Meta?
Problems based on digit counting and numeric ranges appear frequently in interviews at companies like Google and Amazon. Variants often require counting digits, separators, or contributions across ranges using mathematical reasoning.
What data structure is used in Count Commas in Range II?
No complex data structures are required. The solution relies on mathematical calculations with powers of ten and simple integer arithmetic to determine how many numbers fall into each comma range.
What is the time complexity of Count Commas in Range II?
The optimal mathematical solution runs in O(log10 r) time because it only iterates over comma levels defined by powers of 10^3. Space complexity is O(1) since only a few counters and boundary values are stored.

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