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  2. Comparison of programming languages (associative array)

    en.wikipedia.org/wiki/Comparison_of_programming...

    An object is similar to a map—both let you set keys to values, retrieve those values, delete keys, and detect whether a value is stored at a key. For this reason (and because there were no built-in alternatives), objects historically have been used as maps. However, there are important differences that make a map preferable in certain cases.

  3. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    By contrast, in open addressing, if a hash collision is found, the table seeks an empty spot in an array to store the value in a deterministic manner, usually by looking at the next immediate position in the array. Open addressing has a lower cache miss ratio than separate chaining when the table is mostly empty. However, as the table becomes ...

  4. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    Java programming language includes the HashSet, HashMap, LinkedHashSet, and LinkedHashMap generic collections. [53] Python's built-in dict implements a hash table in the form of a type. [54] Ruby's built-in Hash uses the open addressing model from Ruby 2.4 onwards. [55] Rust programming language includes HashMap, HashSet as part of the Rust ...

  5. Open addressing - Wikipedia

    en.wikipedia.org/wiki/Open_addressing

    Open addressing, or closed hashing, is a method of collision resolution in hash tables. With this method a hash collision is resolved by probing , or searching through alternative locations in the array (the probe sequence ) until either the target record is found, or an unused array slot is found, which indicates that there is no such key in ...

  6. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    A hash function uniform on the interval [0, n − 1] is n P(key) / 2 b. We can replace the division by a (possibly faster) right bit shift: n P(key) >> b. If keys are being hashed repeatedly, and the hash function is costly, then computing time can be saved by precomputing the hash codes and storing them with the keys.

  7. Distributed hash table - Wikipedia

    en.wikipedia.org/wiki/Distributed_hash_table

    Keys are unique identifiers which map to particular values, which in turn can be anything from addresses, to documents, to arbitrary data. [2] Responsibility for maintaining the mapping from keys to values is distributed among the nodes, in such a way that a change in the set of participants causes a minimal amount of disruption.

  8. Java collections framework - Wikipedia

    en.wikipedia.org/wiki/Java_collections_framework

    Maps are data structures that associate a key with an element. This lets the map be very flexible. If the key is the hash code of the element, the Map is essentially a Set. If it's just an increasing number, it becomes a list. Examples of Map implementations include java.util.HashMap, java.util.LinkedHashMap, and java.util.TreeMap.

  9. Linear probing - Wikipedia

    en.wikipedia.org/wiki/Linear_probing

    Linear probing is a component of open addressing schemes for using a hash table to solve the dictionary problem.In the dictionary problem, a data structure should maintain a collection of key–value pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.