所以,我来到了一个地方,我想把我存储在redis的数据分割成单独的数据库,因为我有时需要在一种特定的数据上使用键命令,并想把它分开,以使其更快。

If I segment into multiple databases, everything is still single threaded, and I still only get to use one core. If I just launch another instance of Redis on the same box, I get to use an extra core. On top of that, I can't name Redis databases, or give them any sort of more logical identifier. So, with all of that said, why/when would I ever want to use multiple Redis databases instead of just spinning up an extra instance of Redis for each extra database I want? And relatedly, why doesn't Redis try to utilize an extra core for each extra database I add? What's the advantage of being single threaded across databases?


当前回答

在极少数情况下,Redis数据库可以用于部署新版本的应用程序,其中新版本需要使用不同的实体。

其他回答

I don't really know any benefits of having multiple databases on a single instance. I guess it's useful if multiple services use the same database server(s), so you can avoid key collisions. I would not recommend building around using the KEYS command, since it's O(n) and that doesn't scale well. What are you using it for that you can accomplish in another way? Maybe redis isn't the best match for you if functionality like KEYS is vital. I think they mention the benefits of a single threaded server in their FAQ, but the main thing is simplicity - you don't have to bother with concurrency in any real way. Every action is blocking, so no two things can alter the database at the same time. Ideally you would have one (or more) instances per core of each server, and use a consistent hashing algorithm (or a proxy) to divide the keys among them. Of course, you'll loose some functionality - piping will only work for things on the same server, sorts become harder etc.

我知道这个问题已经有些年头了,但是多个数据库可能很有用还有另一个原因。

如果你使用你最喜欢的云提供商的“云Redis”,你可能有一个最小的内存大小,并将为你分配的内存付费。然而,如果你的数据集比这个小,那么你就会浪费一些分配,因此也会浪费一些钱。

使用数据库,您可以使用相同的Redis云实例为(比如说)开发、UAT和生产提供服务,或者应用程序的多个实例,或者其他任何东西——这样可以使用更多的已分配内存,因此更划算。

我正在研究的一个用例有几个应用程序实例,每个实例使用20 - 300k,但我的云提供商上的最小分配是1M。我们可以将10个实例合并到一个Redis上,而不受任何限制,因此可以节省大约90%的Redis托管成本。我知道这种方法有局限性和问题,但我认为值得一提。

上面没有提到我们的动机。我们使用多个数据库,因为我们经常需要删除一组特定类型的数据,而FLUSHDB可以简化这一操作。例如,我们可以在数据库0上使用FLUSHDB清除所有缓存的网页,而不影响我们对Redis的所有其他使用。

这里有一些讨论,但我没有找到关于这vs扫描和删除性能的明确信息:

https://github.com/StackExchange/StackExchange.Redis/issues/873

甚至Salvatore Sanfilippo (Redis的创造者)也认为在Redis中使用多个db是一个坏主意。点击这里查看他的评论:

https://groups.google.com/d/topic/redis-db/vS5wX8X4Cjg/discussion

I understand how this can be useful, but unfortunately I consider Redis multiple database errors my worst decision in Redis design at all... without any kind of real gain, it makes the internals a lot more complex. The reality is that databases don't scale well for a number of reason, like active expire of keys and VM. If the DB selection can be performed with a string I can see this feature being used as a scalable O(1) dictionary layer, that instead it is not. With DB numbers, with a default of a few DBs, we are communication better what this feature is and how can be used I think. I hope that at some point we can drop the multiple DBs support at all, but I think it is probably too late as there is a number of people relying on this feature for their work.

我正在使用redis来实现电子邮件地址的黑名单,并且我对不同级别的黑名单有不同的TTL值,因此在同一实例上使用不同的db对我有很大帮助。