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From Ajeet Grewal <>
Subject Re: sensible data model ?
Date Mon, 06 Feb 2012 21:33:37 GMT
> It's also a good idea to partition time series data so that the rows do not
> grow too big. You can have 2 billion columns in a row, but big rows have
> operational down sides.

What are the down sides here? Unfortunately I have an existing system
which I modeled with large rows (because I use the sorted nature of
columns to get column ranges). After the amount of data grows, I get
"mmap failed" exceptions (See my other thread "Cassandra OOM"). I
wonder if there is a connection.


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