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Cuckoo hashing is a scheme in computer programming for resolving hash collisions in a hash table.
Cuckoo hashing is a method of open addressing where each key is associated with two possible positions in the hash table, computed by two different hash functions. The name 'cuckoo hashing' comes from the behaviour of the cuckoo bird, which lays its eggs in other birds' nests, pushing out the resident eggs in the process. Similarly, when a new key is inserted into a hash table and one of its designated positions is already occupied by another key, the existing key is 'kicked out' and moved to its alternative position, making room for the new key. This process may need to be repeated multiple times, as moving the displaced key to its alternative position may in turn displace another key, and so on.
The main advantage of cuckoo hashing is its worst-case constant lookup time. Unlike other forms of open addressing such as linear probing or double hashing, where the time complexity of lookup operations can increase linearly with the number of keys in the table, cuckoo hashing guarantees that every lookup operation will take at most two attempts, regardless of the number of keys. This makes it particularly useful for applications where fast lookup times are critical.
However, cuckoo hashing also has some drawbacks. One of the main issues is that the process of inserting a new key can potentially lead to an infinite loop if a cycle of displacements is created. To prevent this, most implementations of cuckoo hashing include a maximum limit on the number of displacements allowed for a single insertion. If this limit is reached, the hash table is typically resized and all keys are rehashed. This can make the insertion operation quite costly in terms of time complexity.
Another potential issue with cuckoo hashing is that it requires two different hash functions, which must be independent and uniformly distributed to ensure that the hash table is used efficiently. Designing such hash functions can be challenging, and poor choices can lead to a high rate of hash collisions and inefficient use of the hash table. Despite these challenges, cuckoo hashing remains a popular choice for hash table implementations due to its strong performance in lookup operations.
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