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Home Database Redis How to realize redis read and write separation

How to realize redis read and write separation

Apr 07, 2024 am 11:54 AM
redis

Redis read-write separation is implemented by routing read requests to the slave node and routing write requests to the master node. The specific steps are as follows: 1. Create a master-slave replication environment; 2. Configure the read-write separation client; 3. Route read requests to the slave node; 4. Force write requests to the master node; 5. Synchronize master-slave data.

How to realize redis read and write separation

Redis read-write separation implementation

How to implement Redis read-write separation?

Redis read-write separation is achieved by routing read requests to the slave node, while routing write requests to the master node.

Detailed implementation steps:

  1. Create a master-slave replication environment:

    • Create A Redis master node and one or more slave nodes.
    • Configure the slave node to replicate data from the master node.
  2. Configure read-write separation client:

    • Use a client library (such as RedisPy) to separate read and write operations Offload to the appropriate node.
    • Configure the addresses and ports of the master node and slave node in the client library.
  3. Route read requests to slave nodes:

    • The client library will automatically route read requests to slave nodes. One, to avoid affecting the performance of the master node.
    • Client libraries usually use polling or random selection mechanisms to select slave nodes.
  4. Forcing write requests to the master node:

    • The client library will force write requests to be routed to the master node.
    • This ensures that write operations are always reflected in the primary database.
  5. Synchronize master-slave data:

    • The slave node will continue to copy data from the master node.
    • This kind of replication is asynchronous, so the data on the slave node may lag slightly behind the master node.

Advantages:

  • Improves read performance because data can be read from multiple slave nodes in parallel.
  • Protect the master node from frequent read operations.
  • Improves availability because even if the master node fails, the slave node can continue to process read requests.

Disadvantages:

  • The data on the slave node may lag slightly behind the master node.
  • May not be appropriate for applications requiring strong consistency.

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