How does it deal with multiple writes in the same milliseconds for the same rowkey/column? I can't see that info.
On Tue, Aug 28, 2012 at 5:33 PM, Marcos Ortiz <[email protected]> wrote: > Study the OpenTSDB at StumbleUpon described by Benoit "tsuna" Sigoure ( > [email protected]) in the > HBaseCon talk called "Lessons Learned from OpenTSDB". > His team have done a great job working with Time-series data, and he gave > a lot of great advices to work with this kind of data with HBase: > - Wider rows to seek faster > - Use asynchbase + Netty or Finagle(great tool created by Twitter > engineers to work with HBase) = performance ++ > - Make writes idempotent and independent > before: start rows at arbitrary points in time > after: align rows on 10m (then 1h) boundaries > - Store more data per Key/Value > - Compact your data > - Use short family names > Best wishes > El 28/08/2012 20:21, Mohit Anchlia escribió: > >> In timeseries type data how do people deal with scenarios where one might >> get multiple events in a millisecond? Using nano second approach seems >> tricky. Other option is to take advantage of versions or counters. >> >> >> 10mo. ANIVERSARIO DE LA CREACION DE LA UNIVERSIDAD DE LAS CIENCIAS >> INFORMATICAS... >> CONECTADOS AL FUTURO, CONECTADOS A LA REVOLUCION >> >> http://www.uci.cu >> http://www.facebook.com/**universidad.uci<http://www.facebook.com/universidad.uci> >> http://www.flickr.com/photos/**universidad_uci<http://www.flickr.com/photos/universidad_uci> >> > > > > 10mo. ANIVERSARIO DE LA CREACION DE LA UNIVERSIDAD DE LAS CIENCIAS > INFORMATICAS... > CONECTADOS AL FUTURO, CONECTADOS A LA REVOLUCION > > http://www.uci.cu > http://www.facebook.com/**universidad.uci<http://www.facebook.com/universidad.uci> > http://www.flickr.com/photos/**universidad_uci<http://www.flickr.com/photos/universidad_uci> >
