Write-Around
Generally, a Write-Around mechanism combines with a Read-Through caching approach or Cache-Aside strategy. The application always writes the data into the database and reads data from the cache. If there’s a cache miss, the data is fetched from the database and then stored in the cache for future reads. This strategy works best when data is rarely updated and read in more often.
Example: Write-Around strategy is suggested for Cloud Storage Service.
The below image shows the Write-Around strategy working mechanism. Consider a cloud storage service where users frequently upload large files like videos and images.
- Whenever the users newly upload files, the system uses a write-around caching strategy to store them on the backend storage without caching them.
- Similarly, if a user requests to access a file, the system checks the cache first. If the file is found in the cache return it directly. Otherwise fetch the file from the backend storage and return it to the user.
What is Caching Strategies in DBMS?
In today’s digital world, the speed of an application plays a major role in its success. Generally, users expect the applications to run faster with quick responses. Also, It should support seamless experiences across all their digital interactions, whether they’re browsing a website, mobile app, or a software platform. Caching is used to implement a high-speed system with a large number of users. A cache is a high-speed data storage that stores data temporarily to serve future requests faster.
Database caching is like a helper for your primary database (DB). It is a mechanism that stores frequently accessed data in temporary memory. Whenever the application requests the data again, that can quickly get it from this helper, instead of from the main database. Cache helps to reduce the database workloads. So it increases system speed by reducing the need to fetch data from DB.
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