[Beowulf] Large amounts of data to store and process
Tony Brian Albers
tba at kb.dk
Sun Mar 3 22:47:39 PST 2019
On Mon, 2019-03-04 at 06:38 +0000, Jonathan Aquilina wrote:
> Good Morning all,
> I am working on a project that I sadly cant go into much detail but
> there will be quite large amounts of data that will be ingested by
> this system and would need to be efficiently returned as output to
> the end user in around 10 min or so. I am in discussions with another
> partner involved in this project about the best way forward on this.
> For me given the amount of data (and it is a huge amount of data)
> that an RDBMS such as postgresql would be a major bottle neck.
> Another thing that was considered flat files, and I think the best
> for that would be a Hadoop cluster with HDFS. But in the case of HPC
> how can such an environment help in terms of ingesting and analytics
> of large amounts of data? Would said flat files of data be put on a
> SAN/NAS or something and through an NFS share accessed that way for
> computational purposes?
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Around here, we're using HBase for similar purposes. We have a bunch of
smaller nodes storing the data and all the management nodes(ambari,
HDFS namenodes etc.) are vm's.
Our nodes are configured so that we have a maximum of 2 cores per disk
spindle and 4G of memory for each core. This seems to do the trick and
is pretty responsive.
But to be able to provide better advice, you will probably need to go
into a bit more detail about what types of data you will be storing and
which kind of calculations you want to perform.
Tony Albers - Systems Architect - IT Development
Royal Danish Library, Victor Albecks Vej 1, 8000 Aarhus C, Denmark
Tel: +45 2566 2383 - CVR/SE: 2898 8842 - EAN: 5798000792142
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