MurmurHash3 - Java and Python return different results on long input











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I'm using a Java version of MurMurHash3 developed by Google (google.common.hash.HashFunction and google.common.hash.Hashing) to create n independent hash functions (using n different seeds) to hash an ID as long. Here a snippet of the code:



    for(int i=0; i<seeds.length;i++){
signature[i] = hash(id, seeds[i]);
}

private long hash(int id, int seed){
HashFunction hf = Hashing.murmur3_128(seed);
long signature = hf.hashLong((long)id).asLong();


I've tried to replicate the above code in Python 2.7 using mmh3 (https://pypi.org/project/mmh3/) but the Python version accept only strings as input (or NumPy int) and using the same seed return a different result. Here a snippet of the code:



def create_signature(self, id):
v = np.int64(id)
signature =
for i in range(len(self.__seeds)):
h = mmh3.hash128(v, self.__seeds[i], signed=True)
signature.append(h)
return signature


Applying mmh3 library on a set of different IDs, there are also lots of collisions (no collisions with the Java version instead). Is there a way to get the same results of Java version with Python?










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  • Not sure if this is it but mmh3 seems to be designed to work with strings, so it could be that is computing the hash of str(id). Try with h = mmh3.hash128(id.to_bytes(8, byteorder='little'), self.__seeds[i], signed=True) and see if that makes a difference.
    – jdehesa
    Nov 21 at 12:21















up vote
2
down vote

favorite












I'm using a Java version of MurMurHash3 developed by Google (google.common.hash.HashFunction and google.common.hash.Hashing) to create n independent hash functions (using n different seeds) to hash an ID as long. Here a snippet of the code:



    for(int i=0; i<seeds.length;i++){
signature[i] = hash(id, seeds[i]);
}

private long hash(int id, int seed){
HashFunction hf = Hashing.murmur3_128(seed);
long signature = hf.hashLong((long)id).asLong();


I've tried to replicate the above code in Python 2.7 using mmh3 (https://pypi.org/project/mmh3/) but the Python version accept only strings as input (or NumPy int) and using the same seed return a different result. Here a snippet of the code:



def create_signature(self, id):
v = np.int64(id)
signature =
for i in range(len(self.__seeds)):
h = mmh3.hash128(v, self.__seeds[i], signed=True)
signature.append(h)
return signature


Applying mmh3 library on a set of different IDs, there are also lots of collisions (no collisions with the Java version instead). Is there a way to get the same results of Java version with Python?










share|improve this question






















  • Not sure if this is it but mmh3 seems to be designed to work with strings, so it could be that is computing the hash of str(id). Try with h = mmh3.hash128(id.to_bytes(8, byteorder='little'), self.__seeds[i], signed=True) and see if that makes a difference.
    – jdehesa
    Nov 21 at 12:21













up vote
2
down vote

favorite









up vote
2
down vote

favorite











I'm using a Java version of MurMurHash3 developed by Google (google.common.hash.HashFunction and google.common.hash.Hashing) to create n independent hash functions (using n different seeds) to hash an ID as long. Here a snippet of the code:



    for(int i=0; i<seeds.length;i++){
signature[i] = hash(id, seeds[i]);
}

private long hash(int id, int seed){
HashFunction hf = Hashing.murmur3_128(seed);
long signature = hf.hashLong((long)id).asLong();


I've tried to replicate the above code in Python 2.7 using mmh3 (https://pypi.org/project/mmh3/) but the Python version accept only strings as input (or NumPy int) and using the same seed return a different result. Here a snippet of the code:



def create_signature(self, id):
v = np.int64(id)
signature =
for i in range(len(self.__seeds)):
h = mmh3.hash128(v, self.__seeds[i], signed=True)
signature.append(h)
return signature


Applying mmh3 library on a set of different IDs, there are also lots of collisions (no collisions with the Java version instead). Is there a way to get the same results of Java version with Python?










share|improve this question













I'm using a Java version of MurMurHash3 developed by Google (google.common.hash.HashFunction and google.common.hash.Hashing) to create n independent hash functions (using n different seeds) to hash an ID as long. Here a snippet of the code:



    for(int i=0; i<seeds.length;i++){
signature[i] = hash(id, seeds[i]);
}

private long hash(int id, int seed){
HashFunction hf = Hashing.murmur3_128(seed);
long signature = hf.hashLong((long)id).asLong();


I've tried to replicate the above code in Python 2.7 using mmh3 (https://pypi.org/project/mmh3/) but the Python version accept only strings as input (or NumPy int) and using the same seed return a different result. Here a snippet of the code:



def create_signature(self, id):
v = np.int64(id)
signature =
for i in range(len(self.__seeds)):
h = mmh3.hash128(v, self.__seeds[i], signed=True)
signature.append(h)
return signature


Applying mmh3 library on a set of different IDs, there are also lots of collisions (no collisions with the Java version instead). Is there a way to get the same results of Java version with Python?







java python hash murmurhash






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asked Nov 21 at 11:30









Daniele

202




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  • Not sure if this is it but mmh3 seems to be designed to work with strings, so it could be that is computing the hash of str(id). Try with h = mmh3.hash128(id.to_bytes(8, byteorder='little'), self.__seeds[i], signed=True) and see if that makes a difference.
    – jdehesa
    Nov 21 at 12:21


















  • Not sure if this is it but mmh3 seems to be designed to work with strings, so it could be that is computing the hash of str(id). Try with h = mmh3.hash128(id.to_bytes(8, byteorder='little'), self.__seeds[i], signed=True) and see if that makes a difference.
    – jdehesa
    Nov 21 at 12:21
















Not sure if this is it but mmh3 seems to be designed to work with strings, so it could be that is computing the hash of str(id). Try with h = mmh3.hash128(id.to_bytes(8, byteorder='little'), self.__seeds[i], signed=True) and see if that makes a difference.
– jdehesa
Nov 21 at 12:21




Not sure if this is it but mmh3 seems to be designed to work with strings, so it could be that is computing the hash of str(id). Try with h = mmh3.hash128(id.to_bytes(8, byteorder='little'), self.__seeds[i], signed=True) and see if that makes a difference.
– jdehesa
Nov 21 at 12:21

















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