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How to solve the problem of redis deletion cache failure

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Release: 2024-04-19 23:54:27
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For the problem of Redis cache deletion failure, the reasons and solutions are as follows: The key does not exist: Use the EXISTS command to check whether the key exists. Wrong key type: Make sure the key is a string key. This can be checked using the TYPE command. Internal server error: Check the Redis log for troubleshooting. Connection error: Check if the Redis server is running and accessible. Timeout exception: Increase the timeout period of the DEL command. Client errors: Check client code and network. Access control: Make sure the client has delete permission. Cluster partitioning: ensures that all nodes are in sync with data. Other suggestions: Use transactions to improve efficiency, regularly clean up expired keys, monitor the Redis server, and enable logging for troubleshooting

How to solve the problem of redis deletion cache failure

Redis delete cache failed Solution

Question:What is the reason and solution for failure of Redis deletion cache?

Causes and solutions:

1. The key does not exist

  • Solution: Use The EXISTS command checks whether a key exists. If it does not exist, it cannot be deleted.

2. Key type error

  • Solution: Make sure the key is a string key. The type of a key can be checked using the TYPE command.

3. Server internal error

  • Solution: Check the Redis log for error information. It may be caused by insufficient server memory, network issues, or other issues.

4. Connection error

  • Solution: Check whether the Redis server is running and accessible. Try reconnecting the client.

5. Timeout exception

  • Solution: Increase the timeout period of the DEL command. This can be achieved by using the TIMEOUT option in the command.

6. Client error

  • Solution: Check the client code for syntax errors or network problems.

7. Access control

  • Solution: Make sure the client has the right to delete keys. If you password protect Redis, make sure you provide the correct password.

8. Partitioning in a cluster scenario

  • Solution: Ensure that all nodes have synchronized the latest data. If partitions exist, a delete operation on a node may fail.

Additional suggestions:

  • Use transactions or pipes to improve efficiency and reduce connection overhead.
  • Clean the cache regularly to remove expired or unnecessary keys.
  • Monitor the Redis server to detect potential problems.
  • Enable Redis logging for easier troubleshooting.

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