It would be nice to put this discussion in the blog comments too, so that
outside people can benefit from that?
Cheers
Michael
Am 24.02.2011 um 11:23 schrieb Jim Webber:
Hi Mark,
A nice clear post. The choice of Router is obviously key. For the given
routing examples based on user or
Hi!
I just added a reference to this thread as a comment on the blog post.
/anders
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But in answering this, I wonder if there are actually two use cases here
Yes, I see the use cases as the design decision points you are forced
to make at varying points in the scale of increasing data volumes:
1) 0-10s of gigabytes:
Slam in the RAM on a single server and all is plain sailing
2)
Hey Mark,
That's a really fantastic and useful design metric. Can paraphrase it a bit and
write it up on the Neo4j blog/my blog?
I'll credit my source, naturally :-)
Jim
On 24 Feb 2011, at 14:08, Mark Harwood wrote:
But in answering this, I wonder if there are actually two use cases here
Cache sharding = super nice iterative/interim improvement.
It makes use of aggregate resources (RAM CPU) across multiple servers (as
would be the case with a truly sharded Neo4j) without bothering about
partitioning (even basic consistent hashing) algorithms.
You get a viable partitioning
Hi folks,
I've written up my thoughts on the cache sharding pattern on my blog. See:
http://jim.webber.name/2011/02/23/abe72f61-27fb-4c1b-8ce1-d0db7583497b.aspx
Jim
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I do say, the good gentleman has produced a clearly written, appropriately
illustrated, and highly valuable post.
Cheers,
Andreas
ps. Excepting a few tiny errors in spelling and punctuation.
On Feb 24, 2011, at 1:17 AM, Jim Webber wrote:
Hi folks,
I've written up my thoughts on the cache
A nice clear post. The choice of Router is obviously key. For the given
routing examples based on user or geo it should be possible to map a request to
a server. For many other situations it may prove much harder to determine which
server has a warm cache because there is no user and there is
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