How to prevent duplicate data in high concurrency using Redis?

To prevent data duplication in high concurrency environments, one can utilize the following features of Redis:

1. Implementing transaction with Redis: By combining Redis’ MULTI/EXEC commands into a transaction, the atomicity of a series of operations can be ensured. Before performing data operations, the WATCH command can be used to monitor one or more keys in Redis. If any of the keys are modified by another client during the transaction, it will be aborted. This helps prevent duplicate data operations in concurrent requests.
2. One option:
   Implementing a distributed lock using Redis involves utilizing the SETNX command. Prior to data operations, attempt to acquire the lock. If successful, proceed with the operation; otherwise, wait or throw an exception. Once the operation is complete, release the lock to ensure only one client can execute the operation at a time, preventing data duplication.
3. Utilizing Redis message queue involves placing the data that needs to be processed into the queue, where a consumer will then handle each message sequentially. By controlling the number of concurrent consumers, you can manage the level of parallel processing. This ensures that each piece of data is handled only once, preventing duplication.

The above are some common methods that can be used to prevent data duplication in high-concurrency environments, depending on the specific business scenario.