How do mysql and redis ensure double-write consistency?

Technologies to ensure double-write consistency of MySQL and Redis include: transactional update: update MySQL and Redis simultaneously to ensure consistency; master-slave replication: changes on the MySQL master server are synchronized to the Redis slave server; event-based updates : MySQL records changes and sends them to Redis; timestamp comparison: updates Redis based on MySQL's newer timestamp; third-party middleware: uses middleware to send MySQL changes to Redis for update.

How to ensure double-write consistency between MySQL and Redis

Ensure double-write consistency between MySQL and Redis Critical to maintaining reliable and available data systems. The following are some common techniques:

1. Transactional update

• Use transactions to update data in MySQL and Redis simultaneously.
• Transaction characteristics (ACID) ensure that either both databases are updated successfully, or neither database is updated.
• This can be achieved by using a distributed transaction mechanism such as XA or 2PC.

2. Master-slave replication

• Configure MySQL as the master server and Redis as the slave server.
• Any changes made to the data by MySQL will be copied to Redis.
• This method ensures that the data in Redis is always consistent with the data in MySQL.

3. Event-based updates

• MySQL uses triggers or binlog to record changes to the database.
• Redis subscribes to these events and updates its data as needed.
• This method can achieve near real-time double-write consistency.

4. Timestamp comparison

• Store the update timestamp of data in Redis.
• When MySQL updates data, it checks for existing timestamps in Redis.
• If the MySQL timestamp is newer, update the data in Redis.

5. Use third-party middleware

• Deploy third-party middleware, such as Apache Kafka or RabbitMQ.
• MySQL sends data changes to the middleware.
• Redis subscribes to data from middleware and updates it as needed.

Which technology to choose depends on the specific needs and constraints of the application. It is important to consider factors such as consistency, latency, throughput, and reliability.

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