How does redis ensure consistency with the database

In order to ensure data consistency between Redis and the database, the following methods can be used: Transactional update: Encapsulate Redis and database updates into atomic transactions to avoid inconsistencies. Optimistic locking: monitor the key to be updated and check whether the key has been modified before updating to avoid concurrency conflicts. Publish-Subscribe: Use a Redis channel to publish messages, and subscribers update data to maintain consistency. Data replication: Replicate data between Redis instances through master-slave replication or sentinel mechanism to ensure data consistency. Batch update: Batch a large number of updates to reduce the number of communications and improve performance and consistency.

Consistency between Redis and the database

In order to ensure data consistency between Redis and the associated database, usually Use the following method:

1. Transactional update

• Use MULTI/EXEC syntax or lua script in Redis to package updates to Redis and database into Atomic transactions.
• If any operation in the transaction fails, the entire transaction will be rolled back to avoid inconsistencies.

2. Optimistic locking

• Use the WATCH command in Redis to monitor keys that need to be updated.
• Before updating the database, check whether the monitored key in Redis has been modified.
• If modified, abort the update and re-obtain the data from the database.

3. Publish-Subscribe

• Use the publish-subscribe function of Redis to publish messages to the Redis channel when the database is updated.
• Redis subscribers listen to this channel and update their data to maintain consistency with the database.

4. Data replication

• Use master-slave replication or sentinel mechanism in Redis cluster to copy data between multiple Redis instances.
• If the primary database fails, the secondary database will take over, providing continuous data consistency.

5. Batch update

• For large amounts of data updates, they can be processed in batches instead of updating one by one.
• Doing this can reduce the number of communications between Redis and the database, improve performance and maintain consistency.

Conclusion

By adopting the above method, the data consistency between Redis and the database can be effectively guaranteed to ensure the accuracy and integrity of application data. .

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