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This question evaluates understanding of persistent storage and file-based sharding, including on-disk layout, record serialization, indexing strategies for locating the latest value per key, shard rollover, and recovery from partial or corrupt tails.

  • hard
  • OpenAI
  • Coding & Algorithms
  • Software Engineer

Implement a persistent sharded key-value store

Company: OpenAI

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: hard

Interview Round: Technical Screen

## Problem Implement a simple **key–value store** that persists data on disk. You must store the data in **fixed-size shards**, where each shard is saved in **one file**. If a shard file reaches its maximum size, new writes must go into a **new shard file**. The store must support **shutdown (persist)** and **restore (recover)**. You are given helper functions: - `encode(key, value) -> bytes` to serialize a key/value record - `decode(bytes) -> (key, value)` to deserialize a record Assume keys and values are strings (or byte arrays), and `encode/decode` are inverses for valid records. ## Required API Design and implement (language-agnostic) functions/methods equivalent to: - `put(key, value)` - Insert or overwrite the value for `key`. - `get(key) -> value | null` - Return the current value for `key`, or `null`/`None` if missing. - `delete(key)` (optional if you want to support removals) - Remove `key` if it exists. - `shutdown()` - Ensure all in-memory state is persisted so the store can be restored later. - `restore(directory_path)` (or constructor-based restore) - Load persisted data from disk and make the store usable again. ## Storage requirements - Data is stored across **one or more files** in a directory. - Each file is a **shard** with a configurable maximum size `SHARD_SIZE_BYTES`. - Writes append records to the current shard until it would exceed the shard size; then create a new shard file. ## What to discuss / clarify - Your on-disk layout (file naming, record boundaries, handling partial/corrupt tail). - How you locate the latest value for a key after many overwrites. - What metadata or in-memory index (if any) you maintain. - Complexity of `put/get` and `restore`. - Edge cases: empty store, large values, shard rollover, overwrite semantics, optional delete semantics.

Quick Answer: This question evaluates understanding of persistent storage and file-based sharding, including on-disk layout, record serialization, indexing strategies for locating the latest value per key, shard rollover, and recovery from partial or corrupt tails.

Simulate a **persistent, log-structured sharded key-value store**. Instead of real files, each shard "file" is represented by a Python string, and the full set of shards is a list of such strings. You are given a `shard_size` and a list of `operations`. Process the operations in order, maintaining both the persisted shard strings and a live in-memory key→value map, then return what the `get` operations saw together with the final shard contents. ## What to implement ```python def solution(shard_size, operations): ... ``` - `shard_size` — the maximum allowed length of any single shard string. - `operations` — a list of operation tuples (described below). ## Operations Each operation is a tuple whose first element names the operation: - **`('put', key, value)`** — write a **put record** for `key`, then set the current value of `key` to `value` (overwriting any existing value). - **`('get', key)`** — read the current value of `key`. Append the result to the list of get-results: the stored value if the key exists, otherwise `None`. - **`('delete', key)`** — if `key` currently exists, write a **delete record** for it and remove it from the live map. If `key` does not exist, **do nothing** (no record is written). - **`('shutdown',)`** — a no-op, included only for API completeness. Every write is already persisted to the shard strings, so there is nothing to flush. - **`('restore',)`** — discard the entire in-memory map and rebuild it by **replaying the shard contents from the first shard to the last** (see *Restore* below). ## Record encoding Each `put` and `delete` is encoded as a single semicolon-terminated record: - **Put record:** `P|key|value;` - **Delete record:** `D|key;` The **size of a record** is its string length. Keys and values are ASCII (letters and digits only), so a character equals one byte, and keys/values never contain `|` or `;`. ## Sharding rule (where each new record is written) Maintain shards as an ordered list, appended to in creation order. When a new record must be written: - If appending it to the **last** shard would keep that shard's length **at most** `shard_size`, append it there (the last shard's new length must be `≤ shard_size`). - Otherwise (appending would make the last shard's length exceed `shard_size`), **create a new shard** and write the record into it. If there are no shards yet, the first record creates the first shard. Because every individual record's encoded length is at most `shard_size`, a record always fits in a fresh shard. If no records are ever written, the shard list is empty (`[]`). ## Restore rule (replaying shards) On `('restore',)`, throw away the current in-memory map and rebuild it from scratch by scanning the shards **in creation order** (first to last): - Split each shard on the `;` terminator and replay each complete record in order. - A `P|key|value;` record sets `key` to `value`. - A `D|key;` record removes `key`. - If a shard ends with an **incomplete fragment that is not terminated by `;`**, ignore that trailing fragment. Because records are replayed in order, the **last write to a key wins**, so the rebuilt map matches the live state that produced the shards. ## Return value Return a tuple **`(get_results, shards)`** where: - `get_results` is the list of results from every `get` operation, in the order they occurred (each entry is a value string or `None`). - `shards` is the final list of shard strings. ## Constraints - `0 <= len(operations) <= 20000` - `1 <= shard_size <= 10000` - Keys and values are non-empty ASCII strings of letters and digits only, so they never contain `|` or `;`. - The encoded length of every single put or delete record is at most `shard_size`.

Constraints

  • 0 <= len(operations) <= 20000
  • 1 <= shard_size <= 10000
  • Keys and values are non-empty ASCII strings containing only letters and digits, so they never contain '|' or ';'
  • The encoded length of every single put or delete record is at most shard_size

Examples

Input: (10, [('put', 'a', '1'), ('put', 'b', '22'), ('get', 'a'), ('put', 'a', '333'), ('get', 'a'), ('restore',), ('get', 'b')])

Expected Output: (['1', '333', '22'], ['P|a|1;', 'P|b|22;', 'P|a|333;'])

Explanation: Each write would overflow the current shard, so three shards are created. After restore, the latest value of 'a' is '333' and 'b' is still '22'.

Input: (20, [('put', 'ab', 'x'), ('put', 'c', 'yz'), ('delete', 'ab'), ('get', 'ab'), ('restore',), ('get', 'c'), ('get', 'ab')])

Expected Output: ([None, 'yz', None], ['P|ab|x;P|c|yz;D|ab;'])

Explanation: All records fit in one shard. The delete operation writes a tombstone for 'ab', so it is missing both before and after restore.

Input: (10, [('restore',), ('get', 'missing'), ('shutdown',)])

Expected Output: ([None], [])

Explanation: Restoring an empty store leaves it empty, and shutdown does not change anything in this simulation.

Input: (13, [('put', 'a', '1'), ('put', 'b', '22'), ('put', 'c', '3'), ('get', 'c'), ('restore',), ('get', 'a')])

Expected Output: (['3', '1'], ['P|a|1;P|b|22;', 'P|c|3;'])

Explanation: The first two records exactly fill the first shard: 6 + 7 = 13. The third record starts a new shard. Restore rebuilds the same state.

Input: (25, [('delete', 'ghost'), ('put', 'z', '0'), ('restore',), ('get', 'ghost'), ('get', 'z')])

Expected Output: ([None, '0'], ['P|z|0;'])

Explanation: Deleting a missing key is a no-op and does not create a record. Only the put for 'z' is stored.

Hints

  1. Use an in-memory hash map for the current state so that each get is O(1) on average.
  2. Treat the shard contents as an append-only log. On restore, replay records from the first shard to the last; the latest record for a key wins.
Last updated: Apr 19, 2026

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