Cache Population Process
The cache population process involving locking typically follows these steps:
- Check Cache: When a request arrives, it checks if the required data is present in the cache and is still valid (not expired).
- Lock Acquisition: If the data is missing or expired, the request attempts to acquire a lock specifically designed for this data item.
- Data Regeneration: The request that successfully acquires the lock proceeds to regenerate the data from the source.
- Cache Update: Once the data is regenerated, it is stored in the cache, and the lock is released.
- Other Requests: Any subsequent requests for the same data, while the regeneration is ongoing, will wait until the lock is released.
How Cache Locks can be used to overcome Cache Stampede Problem?
Caching is a technique used to store data temporarily in a high-speed storage layer, such as memory or a dedicated cache, to reduce the latency and load on a primary data source, such as a database or a web service.
Important Topics for Cache Locks to overcome Cache Stampede Problem
- Cache Stampede Problem
- Locking Mechanism
- Cache Population Process
- Lock Release, Backoff, and Retry
- Lock Granularity
- Deadlock Avoidance
- Conclusion