How can you handle cache invalidation and cache expiration in a server-side caching system?
How can you handle cache invalidation and cache expiration in a server-side caching system?
22024-May-2023
Updated on 26-May-2023
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1 Answers
Aryan Kumar
26-May-2023Cache invalidation and cache expiration are important aspects of managing a server-side caching system. Here are some common strategies for dealing with cache invalidation and cache expiration.
A simple way is to set an expiration time for cached items. When a cache item reaches its expiration date, it is considered invalid and subsequent requests will get a fresh copy of the data. Expiration can be set based on the nature of the data and expected frequency of change.
Invalidation explicitly removes or invalidates cached elements when the underlying data changes. There are several techniques for invalidating the cache.
A. Manual Deactivation:
In this approach, the application or backend code explicitly invalidates the cache when changes occur. For example, when a database entry is updated, your code might trigger cache invalidation of the corresponding cached item.
B. Event-driven invalidation:
With event-driven invalidation, the system waits for an event or trigger that indicates a change in the underlying data. When such an event occurs, the cache is invalidated accordingly. This approach is useful when changes can come from different parts of the system, or when multiple caches need to be synchronized.
C. Tag-based invalidation:
Some caching systems support assigning tags or labels to cached items. Instead of invalidating individual cache items, you can invalidate all items associated with a specific tag. This is especially useful when multiple cached items are related and need to be invalidated together.
Conditional invalidation allows you to validate against the current data state before serving a cached item. For example, you can add version numbers and timestamps to cached items. The cache is invalidated if the version or timestamp do not match the current data. This approach minimizes unnecessary cache invalidations when the data has not changed.
Caching systems often use eviction policies in addition to explicit invalidation. LRU and LFU are common eviction policies that remove the least recently used or least frequently used items from the cache when the cache reaches capacity. This keeps the cache of frequently accessed data up-to-date and relevant.
In some cases, cache invalidation can be achieved by adding a unique identifier or timestamp as a query parameter to the URL of the requested resource. This technique is commonly used for static assets such as CSS and JavaScript files. When the URL changes, the client is forced to fetch the updated resource instead of using the cached version.
It's important to design your cache invalidation and expiration strategy to match your application's data update patterns and requirements. The specific approach or combination of approaches depends on factors such as the type of data, the caching system used, and the scalability needs of your application.