Topological Sort on array

Last updated: May 11, 2026

Quick Overview

Given a directed acyclic graph (DAG) represented as an array of edges, implement a function to perform a topological sort on the graph. The function should return an array of vertices in a linear order such that for every directed edge from vertex A to vertex B, A comes before B in the output array. If the graph contains cycles, the function should return an empty array.

Grafana Labs
Coding & Algorithms
Software Engineer
Grafana Labs
May 11, 2026
Software Engineer
Take-home Project
Coding & Algorithms
Easy

467

13

3,135 solved


Given a directed acyclic graph (DAG) represented as an array of edges, implement a function to perform a topological sort on the graph. The function should return an array of vertices in a linear order such that for every directed edge from vertex A to vertex B, A comes before B in the output array. If the graph contains cycles, the function should return an empty array.

Grafana Labs uses this problem in the Take-home Project to evaluate your algorithmic thinking. They expect you to discuss multiple approaches, analyze trade-offs between them, and implement the optimal solution with clean, readable code.

What the Interviewer Expects
  • Identify the correct data structure and algorithm for the problem
  • Write clean, bug-free code with proper variable naming
  • Analyze time and space complexity correctly
  • Handle basic edge cases (empty input, single element)
  • Communicate your thought process while coding
Key Topics to Cover
Binary search and divide and conquer
Graph algorithms and traversal
Dynamic programming and memoization
Hash maps and frequency counting
Sorting and searching
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • How would your solution change if the input was sorted?
  • Can you solve this in a single pass?
  • Can you solve this iteratively instead of recursively (or vice versa)?
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Problem Analysis

To solve the problem of performing a topological sort on a directed acyclic graph (DAG) represented as an array of edges, we can use the Kahn's Algorithm or a Depth-First Search (DFS) approach...

Approach
  1. Construct the Graph: We will create an adjacency list and an in-degree count for each vertex based on the edges provided. For example, if the edges are [(0, 1), (0, 2), (1, 2)], the adjacency l...

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