Data eviction

Data eviction policies control what happens when new data exceeds the memory limits of a database. Here, you'll learn the available policies and how to change which one is used for a database.

The data eviction policy of a database controls what happens when new data exceeds the memory size of a database. Typically, such situations require evicting (or deleting) data previously added to the database.

You can edit database details to change the Data eviction policy setting at the database level.

Available policies

For each database, you can choose from these data eviction policies:

Available policies Description
allkeys-lru Keeps most recently used keys; removes least recently used (LRU) keys
allkeys-lfu Keeps frequently used keys; removes least frequently used (LFU) keys
allkeys-random Randomly removes keys
volatile-lru Removes least recently used keys with expire field set to true (Default)
volatile-lfu Removes least frequently used keys with expire field set to true
volatile-random Randomly removes keys with expire field set to true
volatile-ttl Removes keys with expire field set to true and the shortest remaining time-to-live (TTL) value
no eviction New values aren't saved when memory limit is reached

When a database uses replication, this applies to the primary database

Prevent data eviction

Redis Cloud supports Auto Tiering to prevent data eviction but maintain high performance.

Auto Tiering can extend your database across RAM and Flash Memory and intelligently manage "hot" (active) data in RAM and "cold" (less active) data in Flash memory (SSD).

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