What is Hashing in C
In C programming language, hashing is a technique that involves converting a large amount of data into a fixed-size value or a smaller value known as a hash. The hash is generated through a hash function, which maps the input data to an output hash. The resulting hash value can then be used to efficiently search, retrieve, and compare data within large data sets.
Hashing is commonly used in data structures such as hash tables, which are arrays that store data in a way that allows for quick insertion, deletion, and retrieval of data. The hash function used to generate the hash value maps the key (or the data to be stored) to an index within the hash table. This index is then used to store the data in the corresponding location within the array.
Hashing is useful for several reasons. Firstly, it can reduce the amount of memory required to store large data sets by converting the data into a smaller value. Secondly, it can improve the performance of algorithms by allowing for faster searching and retrieval of data. Finally, it can help to ensure data integrity by detecting duplicate data and preventing collisions (when two different keys map to the same index).
The process of hashing involves three main steps: creating the hash function, generating the hash value, and storing the data in the hash table.
Creating the hash function involves designing an algorithm that maps the input data to a fixed-size value. This algorithm should be designed to distribute the data evenly across the hash table to reduce the likelihood of collisions. A good hash function should also be fast, simple, and deterministic (i.e. it should always produce the same output for the same input).
Once the hash function is created, the next step is to generate the hash value for the data. This involves passing the data through the hash function, which returns a fixed-size hash value. This value is then used as an index within the hash table to store the data.
Storing the data in the hash table involves placing the data in the corresponding location within the array. If a collision occurs (i.e. if two different keys map to the same index), the hash table may use a technique called chaining to store both keys in the same index. In chaining, a linked list is created for each index, and the keys are added to the linked list.
Hashing in C can be implemented using several different methods, including the division method, multiplication method, and the folding method. The division method involves taking the remainder of the key divided by the size of the hash table to determine the index. The multiplication method involves multiplying the key by a constant value and then taking the fractional part of the result to determine the index. The folding method involves breaking the key into several parts, adding them together, and then using the result to determine the index.
Implementation of a hash table in C using arrays:
10 inserted at array 4 inserted at array 2 inserted at array Collision : array has element 10 already! Unable to insert 3 Hash table array = -1 array = -1 array = 2 array = 10 array = 4 array = -1 array = -1 Deleting value 10.. After the deletion hash table array = -1 array = -1 array = 2 array = -1 array = 4 array = -1 array = -1 Deleting value 5.. 5 not present in the hash table After the deletion hash table array = -1 array = -1 array = 2 array = -1 array = 4 array = -1 array = -1 Searching value 4.. Search Found Searching value 10.. Search Not Found
Hashing is a technique used in computer programming to quickly search and retrieve data from large datasets. In C programming, hashing is often used to implement hash tables or associative arrays. Here are some usage, advantages, and disadvantages of hashing in C:
In summary, hashing is a useful technique for quickly searching and retrieving data in large datasets, but it has some limitations such as collisions, the need for a good hash function, and high memory consumption.
Hashing in C is a powerful technique that allows for efficient searching, retrieval, and comparison of data within large data sets. It involves creating a hash function that maps input data to a fixed-size hash value, which is then used as an index within a hash table to store the data. By using hashing, programmers can improve the performance of algorithms and reduce the amount of memory required to store large data sets.