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HBase >> mail # user >> Timeseries data


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Re: Timeseries data
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.
>>
>>
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>
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>
> 10mo. ANIVERSARIO DE LA CREACION DE LA UNIVERSIDAD DE LAS CIENCIAS
> INFORMATICAS...
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>
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>
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB