How does Redis handle concurrent access?

Redis itself is single-threaded, so when dealing with concurrent access, it adopts the following strategies.

1. Redis uses a single-thread model to process requests, handling concurrent requests in an event-driven manner to prevent race conditions from occurring.
2. Memory-based operations: Redis is a memory-based database, which means that reading and writing data is very fast, allowing it to handle concurrent accesses effectively.
3. Utilizing transactions and optimistic locking: Redis offers mechanisms such as transactions and optimistic locking to assist developers in dealing with data consistency issues during concurrent access.
4. Utilize distributed locks: Redis also offers distributed locks, which can assist developers in coordinating concurrent access across multiple instances.

In general, Redis effectively handles concurrent access by processing requests in a single thread, utilizing in-memory operations, and implementing mechanisms such as transactions and optimistic locking to ensure data consistency and reliability.