Redis Concurrency: Multi-Process Solutions

When handling concurrent processes in Redis, several solutions can be considered:

1. Using distributed locks: you can utilize Redis’s SETNX command to achieve distributed locks, ensuring that only one process can access shared resources at a time.
2. Utilizing transactions and optimistic locking: using a combination of Redis transactions and the WATCH command with optimistic locking to ensure data consistency when multiple processes are operating concurrently.
3. Utilizing third-party frameworks like Redisson: Redisson is a Java framework based on Redis that offers a wide range of distributed concurrency control features, simplifying the handling of concurrency issues.
4. Using message queues allows you to avoid issues with multiple processes accessing shared resources simultaneously by placing concurrent tasks in a queue for processing by a single process.

Taking into account all the options mentioned above, you can choose the method that best suits your own application scenario to solve the Redis multiprocessing concurrency issue.