To add to Amandeep's pointer, this one is good for concerns modeling timeseries: https://cloud.google.com/bigtable/pdf/CloudBigtableTimeSeries.pdf
St.Ack On Wed, Jul 1, 2015 at 11:53 AM, Sleiman Jneidi <[email protected]> wrote: > Hello everyone, I am working on a scheme design for a time series database. > Something very similar to Twitter where people can follow each other and > see their posts. I've looked at opentsdb but I think my problem is more > complicated because I don't have the leading "metricid" in the row key. > I've made several attempts so far but I am not happy with the performance. > > 1. Md5(user)+timestamp . The problem with is when I want to query the feed, > I have to do a scan with the highest user ( alphabetical order) and the > lowest and then add column column filter. Getting the next batch is hard. > > 2. Md5(user)+day and then put the posts of the day in the columns with > timestamp in the qualifier name. Not optimal, getting the next batch is > hard. > > So... What do you guys think? Any ideas for making this efficient or > possible? > > Thanks for your time in reading this. > Sleiman >
