What Is the Data Structure Used for Store Key-Value Pair?


Angela Bailey

When it comes to storing key-value pairs, one of the most commonly used data structures is the hash table. A hash table, also known as a hash map, is an efficient way to store and retrieve data based on a unique key.

How does a hash table work?

A hash table consists of an array of buckets or slots, where each slot can store a key-value pair. The key is used to calculate an index or position within the array using a hashing function. The hashing function takes the key as input and returns an integer value that represents the index in the array.

To store a key-value pair in a hash table, the key is hashed and mapped to its corresponding index. If there is already another pair at that index, then it results in what’s called a collision.

There are different strategies for handling collisions, but one common approach is to use chaining. In chaining, each slot in the array contains a linked list of key-value pairs that have hashed to that same index.

Advantages of using hash tables:

  • Fast access: Retrieving values from a hash table has an average time complexity of O(1), making it very efficient.
  • Flexible keys: Hash tables can handle various types of keys, such as strings, numbers, or even objects.
  • No duplicate keys: Each key in a hash table must be unique. If you try to insert another pair with an existing key, it will overwrite the previous value.

Disadvantages of using hash tables:

  • Potential collisions: Collisions can occur when two different keys map to the same index. This can slow down performance if not handled properly.
  • Increased memory usage: Hash tables require additional memory to store the array and linked lists, especially if there are many collisions.

Common use cases:

Hash tables are widely used in various applications due to their efficiency and flexibility. Some common use cases include:

  • Caching: Hash tables are often used in caching systems to store frequently accessed data, such as web pages or database query results.
  • Dictionaries: Many programming languages implement dictionaries using hash tables to provide fast key-value lookups.
  • Symbol tables: Compilers and interpreters use hash tables as symbol tables to store variables, functions, and other program symbols.

In conclusion, hash tables provide an efficient way to store key-value pairs. With fast access times and flexible key types, they are a popular choice for a wide range of applications. However, it’s important to consider potential collisions and the impact on memory usage when using hash tables in your projects.

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