Hi Christian,

It's a component internal to HBase, so you don't have to use it directly.
See http://hbase.apache.org/book/wal.html on how writes are handled by
HBase to ensure reliability & data distribution...

Cheers,

N.

On Fri, Mar 16, 2012 at 7:39 PM, Kleegrewe, Christian <
christian.kleegr...@siemens.com> wrote:

> Hi
>
> Is this memstore replicated? Since we store a significant amount of data
> in the memory cache we need a replicated solution. Also I can't find lots
> of information besides a java api doc for the MemStore class. I will
> continue searching for this, but if you have any URL with more
> documentation please send it. Thanks in advance
>
> regards
>
> Christian
>
>
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> -----Ursprüngliche Nachricht-----
> Von: N Keywal [mailto:nkey...@gmail.com]
> Gesendet: Freitag, 16. März 2012 18:02
> An: user@hbase.apache.org
> Betreff: Re: Streaming data processing and hBase
>
> Hi,
>
> The way you describe the "in memory caching component", it looks very
> similar to HBase memstore. Any reason for not relying on it?
>
> N.
>
> On Fri, Mar 16, 2012 at 4:21 PM, Kleegrewe, Christian <
> christian.kleegr...@siemens.com> wrote:
>
> > Dear all,
> >
> > We are currently working on an architecture for a system that should be
> > serve as an archive for 1000+ measuring components that frequently
> (~30/s)
> > send messages containing measurement values (~300 bytes/message). The
> > archiving system should be capable of not only serving as a long term
> > storage but also as a kind of streaming data processing and caching
> > component. There are several functions that should be computed on the
> > incoming data before finally storing it.
> >
> > We suggested an architecture that comprises of:
> > A message routing component that could route data to calculations and
> > route calculation results to other components that are interested in
> these
> > data.
> > An in memory caching component that is used for storing up to 10 - 20
> > minutes of data before it is written to the long term archive.
> > An hBase database that is used for the long term storage.
> > MapReduce framework for doing analytics on the data stored in the hBase
> > database.
> >
> > The complete system should be failsafe and reliable regarding component
> > failures and it should scale with the number of computers that are
> utilized.
> >
> > Are there any suggestions or feedback to this approach from the
> community?
> > and are there any suggestions which tools or systems to use for the
> message
> > routing component and the in memory cache.
> >
> > Thanks for any help and suggestions
> >
> > all the best
> >
> > Christian
> >
> >
> >
> ----------------------------8<-----------------------------------------------
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> > Siemens AG
> > Corporate Technology
> > Corporate Research and Technologies
> > CT T DE IT3
> > Otto-Hahn-Ring 6
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> > Tel.: +49 89 636-42722
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> >
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