With over six months of research and development, we’re proud to announce the initial release of Ristretto : A High Performance, Concurrent, Memory-Bound Go cache. It is contention-proof, scales well and provides consistently high hit-ratios. Preface It all started with needing a memory-bound, conc…

Feel free to create an issue. We’ll surely consider adding TTL on keys. Seems like a general enough use case.

Support TTL and reloadData · Issue #43 · dgraph-io/ristretto · GitHub is already open.

Awesome article with interesting technical details! It would be interesting to see the code used for benchmarks. Three questions: Does Ristretto store each added value separately by pointer? If yes, then caches with big number of items would lead to non-trivial amounts of CPU time spent on GC sc…

Hey there, @valyala , The links to the code used for benchmarks are all listed in the blog post itself. Ristretto exposes an interface{} for the value. It could be anything, a pointer, byte array, string, int etc. Ristretto currently does not do anything specific to reduce the GC effort of scanni…

Hi, Is there a way to get an array or slice of ALL they cached items. I want to write a go routine to periodically visit all items and maintain the items (Delete if they are expired etc).

This is a really nice article. I didn’t know that goburrow/cache was included and have fixed some throughput regressions ( Benchmark · goburrow/cache Wiki · GitHub ). Thanks.

ikr? this was an insightful article. I have also noticed one thing, caching isn’t an architecture, it’s just about optimization. Caching is an extremely important part of an application! It provides fast response time, enabling effortless performance improvements in many use cases. In many situation…

Introducing Ristretto: A High-Performance Go Cache - Dgraph Blog

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barkanido (Ido Barkan) September 21, 2019, 4:30pm 2

Kudos guys! This was long missed in the landscape. What are the chances you add a TTL based eviction?

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Introducing Ristretto: A High-Performance Go Cache - Dgraph Blog

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