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I was going through Eric Lippert's latest Blog post for Guidelines and rules for GetHashCode when i hit this para:
We could be even more clever here; just as a List resizes itself when it gets full, the bucket set could resize itself as well, to ensure that the average bucket length stays low. Also, for technical reasons it is often a good idea to make the bucket set length a prime number, rather than 100. There are plenty of improvements we could make to this hash table. But this quick sketch of a naive implementation of a hash table will do for now. I want to keep it simple.
So looks like i'm missing something. Why is it a good practice to set it to a prime number?.
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But a good general “rule of thumb” is: The hash table should be an array with length about 1.3 times the maximum number of keys that will actually be in the table, and. Size of hash table array should be a prime number.
Double hashing requires that the size of the hash table is a prime number. Using a prime number as the array size makes it impossible for any number to divide it evenly, so the probe sequence will eventually check every cell.
Characteristics of a Good Hash Function. There are four main characteristics of a good hash function: 1) The hash value is fully determined by the data being hashed. 2) The hash function uses all the input data. 3) The hash function "uniformly" distributes the data across the entire set of possible hash values.
Largest prime number The largest known prime number (as of November 2020) is 282,589,933 − 1, a number that has 24,862,048 digits when written in base 10. Before then the largest known prime number was 277,232,917 − 1, having 23,249,425 digits.
You can find people that suggest the two opposite ends of the spectrum. On the one side, choosing a prime number for the size of the hash table will reduce the chances of collisions, even if the hash function is not too effective distributing the results. Note that if (in the simplest example to argue about) a power of 2 size is decided, only the lower bits affect the bucket, while for a prime number most bits in the result of the hash will be used.
On the other hand, you can gain more by choosing a better hash function, or even rehashing he result of the hash function by applying some bit operations, and using a power of 2 hash size to speed up calculations.
As an example from real life, Java HashTable were initially implemented by using prime (or almost prime sizes), but from Java 1.4 on, the design was changed to use power of two number of buckets and added a second fast hash function applied to the result of the initial hash. An interesting article commenting that change can be found here.
So basically:
a prime number helps dispersing the inputs across the different buckets even in the event of not-so-good hash functions.
a similar effect can be achieved by post processing the result of the hash function, and using a power of 2 size to speedup the modulo operation (bit mask) and compensate for the post processing.
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