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@Root slowdowns when these collections grow bigger, possibility of collisions. Hashes of identical objects between 2 JVMs are not guaranteed to be identical.
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Root797345y@netikras Fair. There are definitely edgecases.
I haven't experienced slowdowns on large hashes though. Why would this happen? -
@Root hashmap in java does iterate over a list of entries comparing their hash:long field value to provided object's hash value. This iteration causes O(n). My array is almost O(1) :)
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Root797345y@netikras That's a terrible hash implementation 😅
It's supposed to be O(1) by design!
But your array implementation sounds amazing. Good work! -
@netikras
Just fyi, it used to be O(n) but isn't anymore:
"To address this issue, Java 8 hash elements use balanced trees instead of linked lists after a certain threshold is reached, [...] which will improve the worst case performance from O(n) to O(log n)."
(https://geeksforgeeks.org/internal-...)
I always wanted to have an array where I could store an object at index 694307084175882649501.
And now I can!!!
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