[Beowulf] Large amounts of data to store and process
jaquilina at eagleeyet.net
Sun Mar 10 01:28:44 PST 2019
Basically I have sat down with my colleague and we have opted to go down the route of Julia with JuliaDB for this project. But here is an interesting thought that I have been pondering if Julia is an up and coming fast language to work with for large amounts of data how will that affect HPC and the way it is currently used and HPC systems created?
From: Beowulf <beowulf-bounces at beowulf.org> On Behalf Of Michael Di Domenico
Sent: 04 March 2019 17:39
Cc: Beowulf Mailing List <beowulf at beowulf.org>
Subject: Re: [Beowulf] Large amounts of data to store and process
On Mon, Mar 4, 2019 at 8:18 AM Jonathan Aquilina <jaquilina at eagleeyet.net> wrote:
> As previously mentioned we don’t really need to have anything indexed so I am thinking flat files are the way to go my only concern is the performance of large flat files.
potentially, there are many factors in the work flow that ultimately influence the decision as others have pointed out. my flat file example is only one, where we just repeatable blow through the files.
> Isnt that what HDFS is for to deal with large flat files.
large is relative. 256GB file isn't "large" anymore. i've pushed TB files through hadoop and run the terabyte sort benchmark, and yes it can be done in minutes (time-scale), but you need an astounding amount of hardware to do it (the last benchmark paper i saw, it was something
1000 nodes). you can accomplish the same feat using less and less complicated hardware/software
and if your dev's are willing to adapt to the hadoop ecosystem, you sunk right off the dock.
to get a more targeted answer from the numerous smart people on the list, you'd need to open up the app and workflow to us. there's just too many variables _______________________________________________
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