The Design In-Memory File System interview question asks you to implement a simplified version of a file system. You need to support basic operations such as listing directories (ls), creating directories (mkdir), adding content to a file (addContentToFile), and reading content from a file (readContentFromFile). The file system exists entirely in memory, meaning data is lost once the program terminates. The challenge involves managing paths, distinguishing between files and directories, and ensuring that nested structures are handled correctly.
This problem is a favorite at companies like Google, Amazon, and Apple because it tests your ability to design complex data structures. It evaluates how you model hierarchical data and whether you can choose the right objects or maps to represent nodes. It also checks your proficiency with string parsing (handling paths like /a/b/c) and your understanding of tree-like structures. High-level design problems like this reveal a candidate's architectural thinking and attention to edge cases, such as handling root directories or appending content to existing files.
The most effective Trie interview pattern or Tree design pattern is used here. A file system is essentially a tree where each node can be either a directory or a file. Directories contain a map of children (other nodes), while files contain a string builder for their content. When navigating paths, you split the string by "/" and traverse the tree level by level.
Imagine you want to create a file at /home/user/notes.txt.
["user"].ls command (listing a file should return just the file name).ls command usually requires the output to be in lexicographical order.When tackling system design coding problems, always start by defining your Node class. Ask yourself: "What state does a directory need versus a file?" Using a Map<String, Node> for children is usually the most flexible way to handle dynamic names and fast lookups.
| Title | Difficulty | Topics | LeetCode |
|---|---|---|---|
| Design File System | Medium | Solve | |
| Implement Trie (Prefix Tree) | Medium | Solve | |
| Implement Trie II (Prefix Tree) | Medium | Solve | |
| Map Sum Pairs | Medium | Solve | |
| Prefix and Suffix Search | Hard | Solve |