BigCache
groupcache
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| BigCache | groupcache | |
|---|---|---|
| 1 | 12 | |
| 7,184 | 12,717 | |
| 1.4% | 0.7% | |
| 6.3 | 0.0 | |
| about 2 months ago | 5 months ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
BigCache
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Recommendation for Key/Value storage
There are also different packages used as a wrapper on top of the Go map based on what your requirements are (storing a lot of data) https://github.com/allegro/bigcache or (need performance) https://github.com/dgraph-io/ristretto. For basic use-cases, the standard Go map should be enough. Just keep in mind whether you need concurrent access to your data structure, in which case you should guard your map with a mutex .
groupcache
- [imcache] A generic in-memory cache Go library. Feedback appreciated.
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DREAMEMO: An out-of-the-box, high-scalability, modular-design distributed cache
As shown in the title, DREAMEMO is a distributed cache with out-of-the-box, high-scalability, modular-design features.The groupcache implementation is referenced, and re-structured, specific module differentiation is as follows:
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Sourcehut will blacklist the Go module mirror
I remember one of the first real-world uses of Go being the groupcache package: https://github.com/golang/groupcache (to serve Chrome downloads, IIRC?)
> comes with a cache filling mechanism. Whereas memcached just says "Sorry, cache miss", often resulting in a thundering herd of database (or whatever) loads from an unbounded number of clients (which has resulted in several fun outages), groupcache coordinates cache fills such that only one load in one process of an entire replicated set of processes populates the cache, then multiplexes the loaded value to all callers.
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Distributed fault-tolerant persistent atomic counter in golang
I read that group cache (https://github.com/golang/groupcache) can be used to sync servers around a key.
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How can you ensure all Microservices have finished their tasks?
I've not tried this myself, but I've seen it suggested to use groupcache (https://github.com/golang/groupcache) to sync your servers.
- What is for you the project who represents the best the power of Golang ?
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go-generics-cache: An in-memory key:value store/cache library for Go Generics
https://github.com/golang/groupcache is managing distributed caching that addresses thundering herd problem of memcache.
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How to Create HTTP Cache Service in Golang?
How it goes sometimes. Check out https://github.com/golang/groupcache and of course the AWS golang SDK.
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Redis inside cluster
There is also groupcache, written by the same author as memcached, but better.
- Can you share some Go package that you think has high quality clean code?
What are some alternatives?
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
ristretto - A high performance memory-bound Go cache
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
badger - Fast key-value DB in Go.
rqlite - The lightweight, distributed relational database built on SQLite.
GCache - An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
Tile38 - Real-time Geospatial and Geofencing
fastcache - Fast thread-safe inmemory cache for big number of entries in Go. Minimizes GC overhead
ledisdb - A high performance NoSQL Database Server powered by Go
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
go-memdb - Golang in-memory database built on immutable radix trees