typedef struct Entry **buckets; int size; HashTable;
To achieve average-case constant time complexity $O(1)$ for insertion, deletion, and lookup, we utilize .
Monitor your table's load factor. When it crosses 0.70, double the array size and re-hash all existing elements into the new array.
#include <stdio.h> #include <stdlib.h> #include <string.h> c program to implement dictionary using hashing algorithms
// Free a single entry and its key void free_entry(Entry *entry) if (entry) free(entry->key); free(entry);
prev = current; current = current->next;
index = h(key) % table_size
// Allocate memory for the array of pointers and initialize to NULL dict->table = (KeyValue**)calloc(TABLE_SIZE, sizeof(KeyValue*));
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// Function prototypes HashTable* create_table(int size); void destroy_table(HashTable *table); unsigned long hash(const char *str, int table_size); void insert(HashTable *table, const char *key, int value); int search(HashTable *table, const char *key); void delete(HashTable *table, const char *key); void display(HashTable *table); typedef struct Entry **buckets; int size; HashTable; To
The delete_key function safely tracks the current node ( temp ) and the preceding node ( prev ). When it finds a matching key, it alters the pointers to stitch the list around the removed item. This preserves the links to any subsequent items in the chain, eliminating memory leaks. 7. Performance and Optimization Considerations
For most applications, hashing with chaining offers the best balance of speed and simplicity.
Save the full code in a file hash_dict.c . Compile with GCC: #include <stdio
A strategy to handle situations where two different keys generate the identical array index. The Problem of Collisions
The search function hashes the key and traverses the specific bucket's linked list to find a match.