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The current use of SyncedEnforcer can meet the multi-threaded situation, And is it possible for Casbin to support multi-process use in the future?

I try to modify on the basis of SyncedEnforcer. (The data mentioned below refers to the data in the memory)

  1. Modify _rwlock, replace the thread read-write lock with the process read-write lock;
  2. Multi-process data synchronization (addition, deletion and modification);

For 1, try to use the Redis module to replace the use of the RWLockWrite internal thread module. For 2, there can be multiple implementation methods:

  1. Consider rewriting Watcher, and modify the update method, internally use the form of message subscription publication for multi-process data synchronization;(No parameters are passed in watcher.update in the project)
  2. Use Redis as data storage to achieve data synchronization;

The above ideas were partially implemented and then interrupted. Because of insufficient personal ability, I felt that such implementation would cause the program to be complicated.

So I want to ask whether it will support multi-process use in the future, or Casbin is for multi-threaded service from the beginning.

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:8 (5 by maintainers)

github_iconTop GitHub Comments

hsluoyzcommented, Nov 23, 2022

@zhang-wujun we already have the official Redis watcher for PyCasbin, please use it:

hsluoyzcommented, Feb 7, 2022
Read more comments on GitHub >

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