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Airtable·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Jun 2026

Summary

Got an OOD problem at Airtable for a software engineer role. One question, pretty focused on connection pool design. Not a ton of ambiguity in the prompt but the implementation details kept me on my toes.

Questions Asked (1)

Q1

Given a DBConnection class (with initialize, query, and close methods that you cannot modify), implement a PoolConnection class and a ConnectionPool class. ConnectionPool should be initialized with a max connection count, return a PoolConnection via get_connection(), and return None if the active connection count exceeds the max. PoolConnection.query() should delegate to the underlying DBConnection, and PoolConnection.close() should return the connection back to the pool for reuse rather than destroying it.

System DesignTechnical Trade-offsAPI & Integrations
Author's notes

The part that tripped me up was close().

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and edge cases, then design the ConnectionPool to manage a collection of DBConnection objects and track active connections. Implement PoolConnection as a wrapper that delegates query calls and returns itself to the pool on close. Discuss trade-offs like thread safety, connection reuse, and error handling.

Pro tip: Mention that you would use a thread-safe data structure (e.g., a queue with locks) to manage the pool, and consider adding a timeout or health check for idle connections to prevent stale connections.

1. Clarify requirements and constraints

Ask about thread safety, connection lifecycle, and expected usage patterns. Confirm that DBConnection cannot be modified and that PoolConnection should handle delegation and return-to-pool.

2. Design ConnectionPool

Decide on internal data structures: a pool of available connections and a count of active connections. Ensure get_connection returns None when max is reached, and that connections are reused.

3. Implement PoolConnection

Wrap a DBConnection instance, delegate query() to it, and on close(), return the underlying connection to the pool instead of closing it. Ensure close() is idempotent.

4. Handle concurrency and edge cases

Use locks or thread-safe collections to manage pool access. Consider what happens if close() is called multiple times or if the pool is exhausted.

5. Discuss trade-offs and extensions

Talk about connection validation, timeouts, max lifetime, and metrics. Mention how this design supports scalability and resource management.

Key Points to Mention

  • Thread safety: use locks or concurrent data structures to avoid race conditions.
  • Connection reuse: pool maintains idle connections and reuses them to reduce overhead.
  • Delegation pattern: PoolConnection delegates query() to DBConnection.
  • Return-to-pool on close: PoolConnection.close() returns the connection to the pool, not closes it.
  • Max connection limit: get_connection() returns None when active count exceeds max.
  • Error handling: ensure connections are returned to pool even if queries fail.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.