Redis Cache is an open source log-type Key-Value database written in ANSIC language, supports network, can be memory-based and persistent, and provides APIs in multiple languages.
#In order to run a Redis cache that optimizes the performance of popular queries, you should first determine the query results you wish to cache. Of these, you should focus on the most commonly used and most time-consuming queries, and then determine which data within the queries should be buffered. For simplicity, all column values returned by the query are cached. (Recommended: redis video tutorial)
Define a naming convention for key values; keys can be constructed using a combination of row primary keys and column names.
For example, the product description whose primary key ID is 198278 can be stored with the key value of '198278:descry'. Make sure your naming convention is simple and rule-driven to facilitate programmatic creation of keys with minimal code.
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