Hash function classification
On the internet, I’ve come across this question:
How do scalable bloom filters work?
I was reading up on scalable bloom filters and could not understand how each time a constituent bloom filters fills up, a new bloom filter with larger size is added.
How can “hash functions” be used to implement hash maps at all?
My understandment is that hash maps allow us to link, say, a string, to certain memory location. But if every string were to be linked to a unique place in memory it would need a huge block of empty memory. I don’t get it.
Would md5 hashes allow detection of synced files?
We have to develop our own file management system in Java web application. We need to sync files between our main server and client severs and find out whether all the client server has all the latest version of files.
Max number of items mapped to same location in hashmap
I have a question about hashmaps.
If you have this hashmap with m slots, and need to map n items to it, and n > m. There will be collisions for sure. But assuming there is simple uniform hashing assumption, this means that the maximum amount of collisions in any spot is the load factor right? The load factor is n/m. But the load factor is probably going to be a decimal, does this mean its a ceiling of the n/m? So if n=6 and m=5, then load factor is 1.2, and the ceiling is 2, so that means the maximum collisions in one spot is 2.
Is this right?
Is there any design pattern to remove elements from a hash map?
In my application I keep track of the running threads via a hash map, in that way I can retrieve the correct thread and do any actions. The app evolved in a way that new threads are created and old threads must be destroyed. My concern is if I’m removing the elements of the hash correctly, or if there’s any efficient pattern.
How can I benchmark concurrent key-value stores?
I have some concurrent key-value store implementations that are implemented with hash tables and search trees that I would like to compare. I would like to benchmark them with a real world application where several threads stresses the key-value stores.
Finding duplicate files? [duplicate]
This question already has answers here: Which hashing algorithm is best for uniqueness and speed? (11 answers) Closed 11 years ago. I am going to be developing a program that detects duplicate files and I was wondering what the best/fastest method would be to do this? I am more interested in what the best hash […]
Finding duplicate files? [duplicate]
This question already has answers here: Which hashing algorithm is best for uniqueness and speed? (11 answers) Closed 11 years ago. I am going to be developing a program that detects duplicate files and I was wondering what the best/fastest method would be to do this? I am more interested in what the best hash […]
Finding duplicate files? [duplicate]
This question already has answers here: Which hashing algorithm is best for uniqueness and speed? (11 answers) Closed 11 years ago. I am going to be developing a program that detects duplicate files and I was wondering what the best/fastest method would be to do this? I am more interested in what the best hash […]