The basic SET/GET/DELETE part took me about two minutes.
Design the store with a main data map and a stack of transaction layers, where each layer records only the changes made since BEGIN. For SET, write to the main map and log the previous value in the current transaction; for GET, read from the main map; for DELETE, remove from the main map and log the previous value. ROLLBACK pops the top layer and undoes its changes in reverse order, while COMMIT merges the top layer's undo log into the parent transaction or discards it if it's the outermost.
Pro tip: Emphasize that the undo log approach is O(1) per operation and avoids copying the database, and mention that nested transactions can be handled by chaining undo logs or using a stack of logs. Also, clarify that COMMIT doesn't need to do anything except discard the undo log for the outermost transaction, but for nested transactions it should merge the undo log into the parent.
Confirm that transactions can be nested, ROLLBACK only affects the most recent BEGIN, and COMMIT makes changes permanent. Explicitly rule out copying the entire database on BEGIN.
Use a hash map for the main key-value store and a stack (or linked list) of transaction frames. Each frame contains an undo log mapping keys to their previous values (or a sentinel for non-existence).
For SET, record the old value in the current transaction's undo log before updating the main map. For DELETE, record the old value and remove the key. GET simply reads from the main map.
BEGIN pushes a new empty undo log onto the stack. ROLLBACK pops the top undo log and applies its entries in reverse order to restore previous values. COMMIT pops the top undo log; if there is a parent transaction, merge the undo log into it (preserving order), otherwise discard it.
Discuss time complexity: O(1) per operation except ROLLBACK/COMMIT which are O(k) where k is the number of changes in the transaction. Handle edge cases like ROLLBACK with no active transaction, nested COMMIT, and keys deleted then re-added.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.