A Hash Table maps string/number keys to array index buckets using a mathematical Hash Function, delivering average O(1) key lookups.
Pass string key 'cat' to hash function to compute integer ASCII code total.
Hash('cat') = ('c':99 + 'a':97 + 't':116) = 312Apply modulo arithmetic using array capacity: index = hashCode % capacity.
Index = 312 % 10 = Bucket 2Write key-value entry ('cat', 42) into Bucket 2. If occupied, handle collision via linked list.
Bucket 2 -> [ ('cat': 42) ]Books are assigned letter codes. Instead of scanning all shelves, you calculate the code index to walk directly to the exact shelf slot.
1 step (Constant)
O(1) Average Bucket Access
O(N) Bucket Storage
Memory growth rate as N expands.
Relative efficiency rating for large N.
| Operation | Time Complexity | Space Complexity |
|---|---|---|
| Search | O(1) Avg | O(N) |
| Insertion | O(1) Avg | O(N) |
| Deletion | O(1) Avg | O(N) |
const map = new Map();
map.set("score", 99);
const score = map.get("score");Stores key-value lookup caches in Memcached/Redis.
Detects unique user handles instantly.
Validate your conceptual understanding, operation mechanics, and core concepts of Hash Table.
When hash collisions occur, hash tables use separate chaining (linked list buckets) or open addressing to resolve collisions!
Hash Table initialized. Hash function: h(k) = k % 8.