Let us learn more on the various Redis caching strategies with the support of our Server management support services at Bobcares.
Importance of Redis caching strategies
Redis is a database cache that saves documents in memory. The data store has an O(1) time complexity key-value pair lookup. As it does not have to deal with complicated execution plans to obtain data, the cache is quick and convenient. We can rely on the cache service to quickly locate a cache entry that contains a value.
Various Redis caching strategies
There are several tactics available, and selecting the best one may make a significant impact. The caching technique is determined by the data and the patterns of data access.
Here are some examples of typical Redis caching strategies:
Full Page Cachings
The complete HTML page is cached in Redis memory under this method. When the user requests the same page again, Redis returns the cached page immediately, decreasing the burden on the application server.
Partial Page Caching
Using this method, Redis caches only the most frequently viewed elements of the website. For instance, an e-commerce website can cache its header, footer, or product listing part independently, while creating the remainder of the page dynamically.
Session Caching
Session data will cache up in Redis in this method to increase the efficiency of user authentication and authorization. The Redis key is the user’s session ID, and the value is the session data.
As a result, the application server may immediately retrieve session data from Redis rather of having to read it from disk or the database. This is one of the most common Redis caching strategies.
Query Caching
Using this method, Redis caches the results of frequently conducted database queries. The query results are present in the Redis key-value pair, with the query string as the key and the result set as the value. Instead of repeating the same query, the application server may instantly obtain the results from Redis.
Object Caching
To lessen the strain on the application server, it will cache up the most common items in Redis. For example, the application server can store product details or user profile information in Redis and retrieve them, instead of accessing the database.
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Conclusion
To sum up we have now seen the various Redis caching strategies with the help of our support team.
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