Study the OpenTSDB at StumbleUpon described by Benoit "tsuna" Sigoure
(ts...@stumbleupon.com) 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
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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.flickr.com/photos/universidad_uci
