groupcache VS rqlite

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:

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.

I read that group cache (https://github.com/golang/groupcache) can be used to sync servers around a key.

I've not tried this myself, but I've seen it suggested to use groupcache (https://github.com/golang/groupcache) to sync your servers.

https://github.com/golang/groupcache is managing distributed caching that addresses thundering herd problem of memcache.

How it goes sometimes. Check out https://github.com/golang/groupcache and of course the AWS golang SDK.

There is also groupcache, written by the same author as memcached, but better.

rqlite: The lightweight, user-friendly, distributed relational database built on SQLite

rqlite has been in development for about a decade too!

https://github.com/rqlite/rqlite/blob/master/CHANGELOG.md#10...

rqlite[1] could basically do this, if you use read-only nodes[2]. But it's not quite a drop-in replacement for SQLite at the write-side. But from point of view of a clients at the edge, they see a SQLite database being updated which they can directly read[3].

That said, it may not be practical to have hundreds of read-only nodes, but for moderate-size needs, should work fine..

Disclaimer: I'm the creator of rqlite.

[1] https://rqlite.io/

[2] https://rqlite.io/docs/clustering/read-only-nodes/

[3] https://rqlite.io/docs/guides/direct-access/

Not particularly. A C compiler is only needed for the SQLite source code.

I originally provided these musl-based builds so I could provide rqlite Docker images based on Alpine[1]. But now the Docker release process simply builds rqlite from the source during the image-creation process[2].

[1] https://hub.docker.com/_/alpine

[2] https://github.com/rqlite/rqlite/blob/master/Dockerfile

Not Jepsen tested but I'd like rqlite [0] would be in the running and meet the requirements.

0. https://rqlite.io/

I’ve been pondering doing something like this with SQLite. The primary db is local/embedded on the user’s machine and use something like https://github.com/rqlite/rqlite to sync on the backend.

It also means it would be fairly trivial to allow users/orgs to host their own “backend” as well.