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Amazon·Software Engineer·Online Assessment (OA)·Intermediate

Intermediate
Jun 2026

Summary

Amazon SWE coding round with a query tree problem I hadn't seen before. Not your typical LeetCode grind, this one felt more like a compiler/DB internals question which threw me a bit.

Questions Asked (1)

Q1

Implement a constant folding algorithm for a query tree. The tree has three parts: a projection list, a predicate list, and a nested subquery list. You need to traverse the tree, fold safe nodes, and recursively convert queries into subqueries, then return the simplified tree.

Algorithms & Data StructuresSystem DesignTechnical Trade-offs
Author's notes

Took me a minute to even parse what 'constant folding' meant in this context.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the query tree structure and the definition of 'safe' nodes for folding. Then outline a recursive post-order traversal that processes subqueries first, folds constant expressions in projections and predicates, and returns a simplified tree. Emphasize correctness, safety conditions, and handling of nested subqueries.

Pro tip: Mention that constant folding must respect SQL semantics like NULL propagation and short-circuit evaluation, and that you would add a configuration flag to enable/disable folding for debugging or A/B testing.

1. Clarify requirements and tree structure

Ask about the exact node types, what constitutes a 'safe' fold (e.g., deterministic, no side effects), and how subqueries are represented. Confirm the expected output format.

2. Design recursive traversal

Use post-order traversal to process children first, ensuring subqueries are simplified before parent nodes. Define a function that returns a simplified node and a flag indicating if any change occurred.

3. Implement folding logic

For each node, evaluate constant expressions in projections and predicates, replacing them with literal values. Handle logical operators with short-circuiting and NULL semantics.

4. Handle subqueries and recursion

Recursively convert nested queries into subqueries, applying the same folding process. Ensure that correlated subqueries are not incorrectly folded.

5. Return simplified tree and discuss trade-offs

Return the new tree, and discuss performance gains, potential risks (e.g., changing semantics), and how to test the transformation.

Key Points to Mention

  • Post-order traversal ensures subqueries are simplified before parent nodes.
  • Safety conditions: only fold deterministic, side-effect-free expressions; respect NULL and three-valued logic.
  • Short-circuit evaluation for AND/OR can avoid evaluating unnecessary subexpressions.
  • Correlated subqueries must not be folded if they depend on outer references.
  • Use a change flag to avoid unnecessary tree reconstruction.
  • Testing strategy: compare query results before and after folding, and use unit tests for edge cases.

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