3 ms·
Thank you for the numbers about hypertable. In my exploration I've been leaning towards hypertable but I haven't done any benchmarking of my own yet. My read p
by ghotli 16y ago
Thank you for the numbers about hypertable. In my exploration I've been leaning towards hypertable but I haven't done any benchmarking of my own yet.
My read patters will probably have locality but I have not yet figured out how to model the data in a key / value style to preserve the locality of the data. Can you describe what you mean by Zipfian distribution?
- smallpotatoes 16y agoAn easy way to think about Zipfian distributions is something like "the most popular 30% of your data set is queried 70% of the time". Its basically the temporal locality property that a lot caching systems exploit. For more look at http://en.wikipedia.org/wiki/Zipf%27s_law http://en.wikipedia.org/wiki/Zipf%27s_law and www.icis.ntu.edu.sg/scs-ijit/1204/1204_6.pdf
- ghotli 16y agoThat paper was great. Thanks.