Drupal detects this change as it has set the cache tag of post node type as 5 and triggers cache invalidation. Suppose one of the blog posts having id 5 is updated. This ensures that old data is not shown to users.Įxample: Consider an example where inside our site, we have a blog content type, and we have implemented caching for the blog posts with cache tags. Cache invalidation involves identifying and invalidating all cache entries associated with the changed data.
Example: Let us suppose our site having multilingual support. This ensures that each user sees their personalized recommendations while still benefiting from caching for other static elements on the page. For example, a block containing user-specific recommendations can have cacheability metadata with a cache context for the user’s role. By leveraging cache contexts, Drupal can serve personalized content while still benefiting from caching. This ensures that users see the updated product information when they visit the corresponding product page.Ĭache Contexts: Cache contexts allow Drupal to vary cache entries based on different conditions, such as user roles, languages, or device types. When a product’s price or description is modified, Drupal automatically invalidates the cache entries related to that product’s cache tag. Each product node is associated with a specific cache tag. For example, when a node is updated, Drupal invalidates cache entries associated with that node’s cache tag, ensuring that the updated content is delivered.Įxample: Suppose in our site we have a product catalog. They allow Drupal to invalidate related cache entries when changes occur efficiently. Cache tags identify the entities or elements that affect the cached content, cache contexts define the variations in the cached content based on contextual information, and cache max-age specifies how long the cache entry is considered valid.Ĭache Tags: Cache tags are a type of strings. Cache Metadata: Each cache entry in Drupal is associated with cache metadata, which includes cache tags, cache contexts, and cache max-age.This significantly improves the response time and reduces the load on the server.
If a valid cache entry is found, Drupal retrieves the cached data from the cache storage instead of regenerating it. Cache Retrieval: When a page or a component is requested, Drupal checks if a valid cached version is available.We may set a lower cache expiration time for the blog cache bin to ensure that new blog posts are displayed promptly. By configuring a separate cache bin for the blog content, we can control the caching behavior specifically for blog pages. Each cache bin can have its own configuration settings, allowing us to fine-tune caching behaviour for different components.Įxample: If our site has a frequently updated blog section.
Additionally, Drupal defines cache bins as logical storage containers for cached data. The cache storage is typically used to store various types of data, including rendered HTML, configuration, database query results, and more. Various Stages are as follows :-Īt this stage, Drupal stores the generated content or data inside the cache storage backend, such as the database or a caching system like Redis or Memcached (i.e.
In this blog, I will dive deep into the cache life cycle in Drupal 9, exploring its key stages and highlighting best practices to maximise caching benefits. Cache Life cycle is important to understand as it plays an important role in optimising the performance and scalability of web applications.
0 kommentar(er)
