bqb VS groupcache

But using a query builder, something like squirrel or (plug) bqb, allows you to actually write SQL (or something close to it) when you need it but also handles the nasty string building bits. Though I agree that ORMs are not always bad, especially for small projects with well-defined scope.

Plug for bqb as a query builder, but there's also squirrel which works pretty well too.

(plug) bqb for very simple query building.

Squirrel is great! Let me also plug bqb.

Plug: BQB (basic query builder) is small, 100% test coverage, and in AwesomeGo. A great starter project.

I totally understand this. If you do go with a query builder, may I recommend bqb (shameless plug) as it allows you to remain closer to the SQL than some alternatives and doesn't do anything fancy. We stripped out 50% of our query logic with it in our org, which has enabled us to more readily tweak the SQL for performance.

There's also bqb. We use it in production at our company -- much better than raw SQL. If you couple it with something like scany then you get more of the ORM benefits without the complexity.

Another shameless plug: https://github.com/nullism/bqb pretty tiny query builder with 100% test coverage

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.