Write-Through
In the Write-Through cache mechanism, the application writes data to the cache and the database simultaneously. Whenever the data is added or updated, that is written to the cache and the database at the time. Also, it reduces read delays, because data is directly fetched from the cache. However, it slows down write operations because of double the time write operation.
Example: A Write-Through strategy is suggested for banking applications.
The below image shows the Write-Through strategy working mechanism. Let’s say a banking application, the users frequently perform transactions like deposits and withdrawals.
- For each transaction application needs to update the user’s account balance. So the application writes user account balance details in the cache and cache writes the balance info to the DB immediately.
- Write-through caching provides consistency between the cache and database. So that users always receive reliable information about their account balances.
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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