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?
java python hash murmurhash
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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?
java python hash murmurhash
Not sure if this is it butmmh3
seems to be designed to work with strings, so it could be that is computing the hash ofstr(id)
. Try withh = 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
add a comment |
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?
java python hash murmurhash
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
java python hash murmurhash
asked Nov 21 at 11:30
Daniele
202
202
Not sure if this is it butmmh3
seems to be designed to work with strings, so it could be that is computing the hash ofstr(id)
. Try withh = 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
add a comment |
Not sure if this is it butmmh3
seems to be designed to work with strings, so it could be that is computing the hash ofstr(id)
. Try withh = 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
add a comment |
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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 ofstr(id)
. Try withh = 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