An efficient cache library is an important aspect of any implementation. If your cache library isn’t great, it can slow an application down dramatically. The Ristretto Golang cache is a memory-bound, concurrent Go cache that is contention resistant. Learn more about it in this blog.
What Ristretto Golang Cache is Meant to Do?
The three primary functions of the Ristretto Golang Cache are as follows:
- Fast Accesses
- High Concurrency and Contention Resistance
- Memory Bounding
But what does that mean and how does it help the Go cache library to function better. Let’s talk about what each of these mean in a little more detail.
Fast Access
Ristretto Golang cache takes a shard-based approach to optimize performance. This is achieved using sharded mutex-wrapped GO maps.
High Concurrency Contention Resistance
Ristretto Golang cache is made to have high levels of contention resistance. This is achieved through batching. Batching is when instead of acquiring a mutex lock for every metadata mutation, a ring buffer fills up before acquiring a mutex and processing the mutations. This can dramatically lower contention.
Memory Bounding
Since a cache must be bounded in size, Ristretto Golang cache taking memory cost into consideration when bounding. A cost is attached to every key-value. This lets the cache adjust for different workloads and continue operating efficiently, even when at capacity. For instance, less valuable items might be replaced by more valuable items when operating at capacity. This makes the cache library highly efficient at all times.
Is Ristretto Golang Cache Right for My Application and Should I Implement It?
If you’re wondering if you should implement the Ristretto Golang cache library into your GO application, just consider the benefits we’ve outlined in this blog. Ristretto has the ability to make your cache library much more reliable and efficient. Through fast access, contention resistance, and memory bounding, your cache library in Go will operate exactly how you need it to. Since Ristretto is new, it’s still evolving and will only get better over time. It’s adaptive and scalable, so it can really make a difference in the way you run GO.
Read a similar article about cloud-based graph database here at this page.
