goqu VS groupcache

For SQL, I'd probably go with goqu http://doug-martin.github.io/goqu/

I use goqu (https://github.com/doug-martin/goqu)

SQL Builders (think squirrel or goqu)

I've been looking for a package that allows me to build Postgres DDL statements in Golang. I'm currently using Goqu (https://github.com/doug-martin/goqu) for building statements and it works great, however it does not have support for building schemas. Basic things like creating tables, creating indexes. A great one in JavaScript can be found here: (https://knexjs.org/guide/schema-builder.html#essentials) I have been unable to find anything in Go, does anyone know of any packages like this?

Then use something like https://github.com/doug-martin/goqu to build the SQL.

Try this

We've been using goqu and it's super nice! although there are a ton of other query builders that could better fit your use-case.

If the statement is too dynamic to use query parameters I'd ideally use a dynamic query builder rather than concatenating strings. Goqu is a lib like that but I haven't yet used it personally https://github.com/doug-martin/goqu

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.