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Which hashing algorithm is best for uniqueness and speed?
CityHash by Google is the algorithm you are looking for. It is not good for cryptography but is good for generating unique hashes.
Which hashing algorithm is the fastest?
SHA-1 is fastest hashing function with ~587.9 ms per 1M operations for short strings and 881.7 ms per 1M for longer strings. MD5 is 7.6% slower than SHA-1 for short strings and 1.3% for longer strings.
What is a good hashing algorithm?
A good hash function should have the following properties: Efficiently computable. Should uniformly distribute the keys (Each table position equally likely for each key)
What is good hashing efficiency?
The most memory efficient datastructure for associations The hash table with the best memory efficiency is simply the one with the highest load factor, (it can even exceed 100% memory efficiency by using key compression with compact hashing ). A hash table like that does still provide O(1) lookups, just very slow.
Which is better password or salt hashing algorithm?
As far as I understood*, one of the major criteria when choosing a password / salt hashing algorithm is it’s speed. To prevent brute force attacks, a slower algorithm is better (and also makes it more impractical to generate rainbow tables)
Is there any table that has machine independent relative benchmarks, sorted by speed?
To prevent brute force attacks, a slower algorithm is better (and also makes it more impractical to generate rainbow tables) Assuming I understood correctly, is there any table that has machine independent relative benchmarks of those algorithms, sorted by speed?
Is it possible to write a fast hash table?
There’s one big problem to apply fast range on probing. Probing usually add the probe bias to lower bits of the hashed key. Modulo and bitwise and preserves the lower bits information, but fast range only use the higher bits and the probe would have no effect on the output.
How is the second hash function used in a hash table?
For lookup, the first hash function is used; if the key/value is not found, then the second hash function is used, and so on. If a collision happens during insertion, then the key is re-hashed with the second hash function to map it to another bucket. The expected probing number is below 2.