Product Details

Memcached's APIs provide a huge hash table that is distributed across multiple computers. When the hash table is full, subsequent inserts cause older data to be removed in the least recently used (LRU) order. In Memcached applications, requests and additions are frequently loaded into RAM before falling back on a slower backup store, such as a database. There is no internal way in Memcached for tracking potential misses. Some third-party utilities, however, provide this service.

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