Implement Skip List with streaming input

Last updated: October 22, 2025

Quick Overview

Implement a Skip List data structure that supports efficient insertion, deletion, and search operations with streaming input. Your implementation should handle dynamic updates and allow for retrieval of elements in logarithmic expected time complexity. Ensure that your code can process a continuous stream of integers and maintain the Skip List accordingly.

Salesforce
Coding & Algorithms
Software Engineer
Salesforce
October 22, 2025
Software Engineer
Phone Screen
Coding & Algorithms
Medium

92

12

2,915 solved


Implement a Skip List data structure that supports efficient insertion, deletion, and search operations with streaming input. Your implementation should handle dynamic updates and allow for retrieval of elements in logarithmic expected time complexity. Ensure that your code can process a continuous stream of integers and maintain the Skip List accordingly.

Salesforce uses this problem in the Phone Screen 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
  • Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
  • Discuss multiple approaches and trade-offs before coding
  • Implement an optimal solution with clean, production-quality code
  • Handle all edge cases including boundary conditions and invalid input
  • Optimize both time and space complexity with clear justification
  • Test your solution systematically with well-chosen examples
Key Topics to Cover
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Sorting and searching
Time and space complexity analysis
Graph algorithms and traversal
Hash maps and frequency counting
Tree structures and recursion
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
  • What is the worst-case input for your solution?
  • How would you modify your solution to handle streaming input?
  • Can you solve this in a single pass?
  • What if the input doesn't fit in memory?
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Sample Answer
Problem Analysis

A Skip List is a probabilistic data structure that allows for efficient search, insertion, and deletion operations, achieving expected logarithmic time complexity. The key patterns in this problem are...

Approach
  1. Structure Definition: Define a Node class that contains a value and an array of forward pointers to represent levels in the Skip List. Define the SkipList class that maintains the head node...

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