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Revisiting 1M Writes per second

techblog.netflix.com

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Re: Revisiting 1M Writes per second

#3
Would be great to know the exact data set size (not size in the database). I can't get an order of magnitude sense of what I am looking at without that.

I know I can divine it from the parameters to stress, but I have no idea if the row keys generated by different clients overlap and I don't know the default number of columns nor their size.

I think it's also important in this kind of benchmark to describe the distribution of access especially for a read intensive benchmark. Without that you really don't know what your are looking at. I am a fan of scrambled Zipfian.

Re: Revisiting 1M Writes per second

#5
post #2

This is running Cassandra 1.2.x which is over 18 months old. Here's some performance notes on the latest (2.1rc4): http://www.datastax.com/dev/blog/cassandra-2-1-now-over-50-f...

Will 2.1 actually be usable? It seems like 2.0 has missed that mark in every single release.

Re: Revisiting 1M Writes per second

#6
My other favorite "scalability" study is from WhatsApp:

http://www.youtube.com/watch?v=c12cYAUTXXs

That's 'Billion' with a 'B': Scaling to the Next Level at WhatsApp

(that walk title was create before the acquisition and was mean to imply message count, after the acquisition it got a secondary meaning).

The one thing that is fascinating about it, is how small their team was compared to the volume and complexity of the operation.

Re: Revisiting 1M Writes per second

#9
So the test was run on a 285 node cluster with 60 clients. It would be nice to know how they arrived at those numbers. Was there some sort of formula used to calculate how large each group should be? How much trial and error was involved.

Re: Revisiting 1M Writes per second

#10
post #8

I wonder where the term sidecar originated from and what is the precise definition? Is this something invented by the netflix OSS people or does it predate that?

It's from here: https://www.google.com/search?q=motorcycle+sidecar&source=ln...

I was hoping for a more precise software concept. Maybe it is loosey goosey.
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