Shared memory object with redis and json files.
Project description
Redison : Redis + Json : Shared objects in memory using redis and json files
Getting Started
numpy
from redison import RedisObject
import numpy as np
array = np.random.rand(10) # Set the object in python stack
print(array) # Retrieve the object from the stack
array = RedisObject(array) # Set the object in redis
print(array.get()) # Retrieve the object from the redis database
multiproc
Processus 1
from redison import RedisObject
import numpy as np
while True:
# Push array1
RedisObject(id="array1", data=np.random.rand(10))
# Pull array2
array2 = RedisObject(id="array2")
# Wait for array1 to be set in redis by proc2
print(array2.get(blocking=True))
Processus 2
from redison import RedisObject
import numpy as np
while True:
# Push array2
RedisObject(id="array2", data=np.random.rand(10))
# Pull array1
array1 = RedisObject(id="array1")
# Wait for array1 to be set in redis by proc1
print(array1.get(blocking=True))
multiproc remote
Processus 1
from redison import RedisObject
import numpy as np
while True:
# Create array2
array1 = np.random.rand(10)
# Push array2
RedisObject(id="array1",
data=array1,
host="10.1.0.2")
# Pull array1
array2 = RedisObject(id="array2",
host="10.2.0.2")
# Wait for array1 to be set on the remote machine 2
print(array2.get(blocking=True))
Processus 2
from redison import RedisObject
import numpy as np
while True:
# Create array2
array2 = np.random.rand(10)
# Push array2
RedisObject(id="array2",
data=array2,
host="10.2.0.2")
# Pull array1
array1 = RedisObject(id="array1",
host="10.1.0.2")
# Wait for array1 to be set on the remote machine 1
print(array1.get(blocking=True))
Contributions
Email me at j.cadic@9dw-lab.com for any questions.
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