imcache
groupcache
| imcache | groupcache | |
|---|---|---|
| 2 | 12 | |
| 115 | 12,740 | |
| - | 0.5% | |
| 7.1 | 0.0 | |
| 4 months ago | 6 months ago | |
| Go | Go | |
| MIT License | 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.
imcache
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imcache v1.0.0 released. A zero-dependency generic in-memory cache Go library.
I released first stable version of imcache pkg - https://github.com/erni27/imcache.
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[imcache] A generic in-memory cache Go library. Feedback appreciated.
There are a few amazing in-memory cache Go libraries but none of them fulfilled all my needs entirely. So I decided to build a simple library on my own - imcache https://github.com/erni27/imcache. It's nothing more than a fancy wrapper for vanilla Go map.
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?
theine-go - high performance in-memory cache
BigCache - Efficient cache for gigabytes of data written in Go.
nscache - A Go caching framework that supports multiple data source drivers
go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
hazelcast-go-client - Hazelcast Go Client
cache2go - Concurrency-safe Go caching library with expiration capabilities and access counters
rustle - An HTTP-based in-memory broker inspired by Redis.
rqlite - The lightweight, distributed relational database built on SQLite.
coherence-go-client - The Coherence Go Client allows native Go applications to act as cache clients to a Coherence cluster using gRPC for the network transport.
Tile38 - Real-time Geospatial and Geofencing
GCache - An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
ledisdb - A high performance NoSQL Database Server powered by Go