Hi guys,

I don't have the history of this thread. What issues are you running into?

David

On Wed, Feb 16, 2011 at 2:37 AM, Pablo Pareja <[email protected]> wrote:

> Hi Mark,
>
> Thanks for your contribution.
> I'm using a m2.4xlarge EC2 AWS instance type (*68.4 GB of memory, 26
> EC2 Compute
> Units (8 virtual cores with 3.25 EC2 Compute Units each)).*
> Besides I'm parsing a 17G xml file for populating the DB and normally
> problems only arise when I have
> already inserted a decent amount of data (around 30.000.000 nodes and
> 50.000.000 relationships), that's why
> I was saying it'd be kind of harsh to reproduce the same situation.
> Right now I'm gonna try splitting the 17G xml file in at least 10-20 files
> and doing that number of
> separated batch insertions hoping it would work that way.
> I'll let you all know how it goes,
>
> Cheers,
>
> Pablo
>
> On Wed, Feb 16, 2011 at 11:12 AM, Mark Harwood <[email protected]
> >wrote:
>
> > Hi Pablo,
> >
> > >>Regarding the boiled down version of my code I guess I could prepare it
> > but it's quite a big project
> >
> > Here's a boiled-down batch load demo I did earlier based on public
> > Wikipedia data: http://code.google.com/p/graphdb-load-tester/
> > It includes what I believe to be a faster Lucene batch indexer service
> > using a bloom filter and various other optimisations.
> > However, the underlying Neo4J database doesn't seem to be able to cope
> > with inserting these volumes of data on my available hardware and I
> > don't have (and would hope not to need) 10s of gigabytes of RAM to
> > throw at the problem.
> >
> > Cheers,
> > Mark
> > _______________________________________________
> > Neo4j mailing list
> > [email protected]
> > https://lists.neo4j.org/mailman/listinfo/user
> >
>
>
>
> --
> Pablo Pareja Tobes
> LinkedIn    http://www.linkedin.com/in/pabloparejatobes
> Twitter       http://www.twitter.com/pablopareja
>
> http://www.ohnosequences.com
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>



-- 
David Montag
Neo Technology, www.neotechnology.com
Cell: 650.556.4411
[email protected]
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