Home Database Redis How to clean redis cache

How to clean redis cache

Apr 07, 2024 pm 12:03 PM
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There are five ways to clear the Redis cache: FLUSHDB: Clear the entire database. FLUSHALL: Clear all Redis instances. DEL: Delete a specific key and its value. EXPIRE: Set the lifetime for the key. UNLINK: Unlink the key from the database.

How to clean redis cache

How to clean the Redis cache

Redis cache is a high-performance, in-memory data structure storage, used Used to store frequently accessed data to improve application performance. The cache can become bloated over time and needs to be cleaned regularly to ensure its effectiveness.

Cleaning Methods

There are multiple ways to clean the Redis cache:

  • FLUSHDB: Use The FLUSHDB command clears the entire database, including all keys and values. This is a quick and easy method, but it will delete all data.
  • FLUSHALL: Similar to FLUSHDB, but it will clear all Redis instances, including all databases and keys. This command is more destructive than FLUSHDB and should be used with caution.
  • DEL: Use the DEL command to delete a specific key and its associated value. This method is more precise as it allows you to select what you want to delete.
  • EXPIRE: Use the EXPIRE command to set the survival time for the key. After the lifetime is exceeded, keys and values ​​are automatically deleted.
  • UNLINK: Use the UNLINK command to unlink a key from the database without deleting its associated value. This is helpful for releasing keys that are no longer used.

Choose a cleanup method

Selecting the appropriate cleanup method depends on your specific requirements:

  • When needed When clearing all data immediately: Use FLUSHDB or FLUSHALL.
  • When you need to clear a specific key: Use DEL or UNLINK.
  • When you need to clear data after a period of time: Use EXPIRE.

Best Practices

Here are some best practices for cleaning the Redis cache:

  • Clear the cache regularly to prevent it become too large.
  • Use the EXPIRE command to avoid storing unnecessary data.
  • Consider data backup before cleaning.
  • Monitor cache size to understand its growth pattern.

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