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What are the main functions of redis?
The main functions of redis include: 1. Caching data to improve access speed; 2. Acting as a message queue to implement message delivery; 3. Store various data types, such as strings, hashes and sets; 4. Manage session information to ensure reliability performance and availability; 5. Limit the request rate, prevent server overload, etc. This topic provides you with relevant articles, downloads, and course content for you to download and experience for free.
What are the main functions of redis?The main functions of Redis include: 1. Caching data to improve access speed; 2. Acting as a message queue to implement message delivery; 3. Store various data types, such as strings, hashes and sets; 4. Manage session information to ensure reliability performance and availability; 5. Limit the request rate to prevent server overload; 6. Provide distributed locks to prevent race conditions; 7. Build a ranking list and sort members according to scores; 8. Process real-time data to achieve low-latency analysis and decision-making.
How to solve the inconsistency between redis and database dataSolutions to inconsistencies between Redis and database data include: turning on Redis persistence; using transactions or locks; regularly synchronizing data; using cache invalidation strategies; using master-slave replication; and regular inspection and repair.
How to ensure data consistency between redis and mysqlIn order to ensure data consistency between Redis and MySQL, the following strategies can be adopted: 1. Master-slave replication: Use MySQL's replication function to use MySQL as the master database and synchronize data to Redis as the slave database. 2. Transaction queue: Send update requests to the transaction queue, and the consumer applies them to MySQL and Redis in order to maintain data consistency. 3. API Gateway: All database update requests go through the API Gateway, ensuring updates are coordinated and applied in the correct manner. 4. Regular synchronization: Regularly use scripts or tools to synchronize data in MySQL to Redis to ensure data consistency. 5. Compromise:
How to solve the inconsistency between redis and mysql dataMethods to resolve data inconsistencies between Redis and MySQL include: Determining the source of the data inconsistency. Coordinate data consistency: transactional updates, distributed locks, event-driven updates. Data synchronization: asynchronous replication, periodic synchronization, incremental synchronization. Data verification: regular checks, introduction of verification mechanisms, use of unique identifiers. Fault tolerance measures: retry mechanism, data integrity check, redundant storage.
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