Rehashing: meaning, definitions and examples
๐
rehashing
[ riหhรฆสษชล ]
computer science
Rehashing is a process used in data structures, particularly in hash tables, to resolve collisions by creating a new hash function or adjusting the existing one. It typically occurs when the number of entries exceeds a certain threshold, prompting the table to expand and re-evaluate the position of existing entries based on the new function or table size.
Synonyms
rehash, rehashing function, transforming.
Examples of usage
- Rehashing improved the efficiency of our hash table.
- After rehashing, the search times decreased significantly.
- The algorithm supports automatic rehashing for smoother performance.
data structures
To rehash means to apply a new hash function to the existing data in a hash table to improve its distribution. This operation is essential when dealing with increasing data loads to minimize collisions and enhance retrieval speed.
Synonyms
recalculate, recompute, transform.
Examples of usage
- We need to rehash the data to accommodate more entries.
- Rehashing the database helped organize the records better.
- It is crucial to rehash after expanding the hash table.
Translations
Translations of the word "rehashing" in other languages:
๐ต๐น rehashing
๐ฎ๐ณ เคชเฅเคจเค เคนเฅเคถเคฟเคเค
๐ฉ๐ช Rehashing
๐ฎ๐ฉ rehashing
๐บ๐ฆ ะฟะตัะตั ะตััะฒะฐะฝะฝั
๐ต๐ฑ rehashing
๐ฏ๐ต ใชใใใทใณใฐ
๐ซ๐ท rehashing
๐ช๐ธ rehashing
๐น๐ท rehashing
๐ฐ๐ท ๋ฆฌํด์ฑ
๐ธ๐ฆ ุฅุนุงุฏุฉ ุงูุชุฌุฒุฆุฉ
๐จ๐ฟ rehashing
๐ธ๐ฐ rehashing
๐จ๐ณ ้ๆฐๅๅธ
๐ธ๐ฎ rehashing
๐ฎ๐ธ rehashing
๐ฐ๐ฟ าะฐะนัะฐ ั ะตััะตั
๐ฌ๐ช แ แแฐแแจแแแแ
๐ฆ๐ฟ rehashing
๐ฒ๐ฝ rehashing
Etymology
The term 'rehashing' originated in computer science terminology during the late 20th century as part of the development of hash tables and data structures. The prefix 're-' indicates repetition, while 'hash' pertains to the hashing algorithms used to convert data into fixed-size values or keys. This process is essential for efficient data retrieval in computer systems. The concept has evolved as computing technology advanced, with modern implementations of hash tables often incorporating dynamic resizing and enhanced collision resolution techniques. The idea of rehashing reflects the growing need for adaptive methods to manage data integrity and speed amidst increasing informational loads in database systems. As programming languages and algorithms have expanded, so has the understanding and necessity of rehashing in ensuring optimal performance in various applications, from databases to caching mechanisms.