(RPyC) (Mem)ory

• RPyC-Mem is a light weight shared memory alternative for Python implemented using RPyC
• RPyC-Mem has a ready to run service, which hosts network based shared memory to be consumed by different processes.
• RPyC-Mem has proxy classes to interact with the shared memory objects effectively.

1. Install RPyC-Mem from pypi

   pip install rpyc-mem

2. Run the RPyC-Mem server

   from rpyc_mem.service import RpycMemService
   
   rs = RpycMemService('localhost', 18813)
   rs.run()

3. Share data between processes

   Client 1:

   Using RPyC Memory Session

   from rpyc_mem.session import RpycMemSession
   
   rses = RpycMemSession('localhost', 18813)
   rm = rses.rmem('unique-key', robj_gen=lambda: rses.rmod().list([1, 2]))
   
   print(rm)    # [1, 2]

   Client 2:

   Using underlying RPyC Memory classes

   from rpyc_mem.connect import RpycMemConnect
   from rpyc_mem.client import RemoteModule, RpycMem
   
   rc = RpycMemConnect('localhost', 18813)
   rp = RemoteModule(rc)
   rm = RpycMem(rc, 'unique-key', robj_gen=lambda: rp().list([1, 2, 3]))
   
   print(rm)    # [1, 2]
   rm.append(3)

   Client 1 continued... :

   print(rm)    # [1, 2, 3]

4. For more details, check out the API-Reference, User-Guide