Why not use a graph based index? Properly structured it should provide fast
reads all the time (property structured kind-of means you have the most
likely reads in cache, which is dependant on the type of data).

On Tue, Mar 23, 2010 at 10:56 AM, Peter Neubauer
<[email protected]>wrote:

> Awh,
> kinda not very fast inserting then. From looking at the code, this
> kinda sux for fast inserting since you need to go in and out of
> indexes. Not sure how to speed that up. Could you keep some of the
> index in memory maybe?
>
> Cheers,
>
> /peter neubauer
>
> COO and Sales, Neo Technology
>
> GTalk:      neubauer.peter
> Skype       peter.neubauer
> Phone       +46 704 106975
> LinkedIn   http://www.linkedin.com/in/neubauer
> Twitter      http://twitter.com/peterneubauer
>
> http://www.neo4j.org             - Your high performance graph database.
> http://www.tinkerpop.com      - Processing for Internet-scale graphs.
> http://www.thoughtmade.com - Scandinavias coolest Bring-a-Thing party.
>
>
>
> On Tue, Mar 23, 2010 at 10:49 AM, Laurent Laborde <[email protected]>
> wrote:
> > nope.
> > "The LuceneIndexBatchInserter is designed for being performant when
> > inserting large amounts of data with minimal lookups from the index
> > during that time."
> >
> > problem : i do a lot of lookup while inserting :)
> >
> > --
> > Ker2x
> >
> >
> > On Tue, Mar 23, 2010 at 10:43 AM, Peter Neubauer
> > <[email protected]> wrote:
> >> Laurent,
> >> have you looked at the BatchInserter for doing big initial
> >> populations? It is MUCH faster than the normal Neo4j transactional
> >> approach, see http://wiki.neo4j.org/content/Indexing_with_BatchInserter
> >>
> >> Would that help?
> >>
> >> Cheers,
> >>
> >> /peter neubauer
> >>
> >> COO and Sales, Neo Technology
> >>
> >> GTalk:      neubauer.peter
> >> Skype       peter.neubauer
> >> Phone       +46 704 106975
> >> LinkedIn   http://www.linkedin.com/in/neubauer
> >> Twitter      http://twitter.com/peterneubauer
> >>
> >> http://www.neo4j.org             - Your high performance graph
> database.
> >> http://www.tinkerpop.com      - Processing for Internet-scale graphs.
> >> http://www.thoughtmade.com - Scandinavias coolest Bring-a-Thing party.
> >>
> >>
> >>
> >> On Mon, Mar 22, 2010 at 11:35 PM, Laurent Laborde <[email protected]>
> wrote:
> >>> On Fri, Mar 19, 2010 at 10:20 AM, Laurent Laborde <[email protected]>
> wrote:
> >>>> thank you peter.
> >>>> Following the various link, i found http://www.cytoscape.org/
> >>>> Look very promising !! i'll try this weekend :)
> >>>
> >>> 3 days later, i'm still populating neo4j like a crazy, trying to
> >>> compute the collatz conjecture up to 100 millions.
> >>> i'm at 63.5 millions, but it's now much much slower than at the
> beginning.
> >>>
> >>> probably because of the insane numbers of index.getSingleNode on
> >>> lucene on a growing index.
> >>> i'm expecting something like a billion of node when it will reach 100
> millions.
> >>>
> >>> the index is 6GB and the base is 9GB.
> >>> The cpu usage is now ~10% instead of 25%, i have a grand total of 9+6
> >>> GB of data in the neo4j drectory with only 8GB on ram on my windows 7
> >>> i'm now (random) IO bound.
> >>>
> >>> My SATA velociraptor 10krpm is fighting at 1MB/s (not so bad;
> >>> considering it's highly mixed R/W and purely random IO)
> >>>
> >>> time to buy a 32GB SSD :)
> >>>
> >>> --
> >>> Keru
> >>>
> >>>
> >>> --
> >>> Laurent "ker2x" Laborde
> >>> Sysadmin & DBA at http://www.over-blog.com/
> >>> _______________________________________________
> >>> Neo mailing list
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> >>> https://lists.neo4j.org/mailman/listinfo/user
> >>>
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> >
> >
> >
> > --
> > Laurent "ker2x" Laborde
> > Sysadmin & DBA at http://www.over-blog.com/
> > _______________________________________________
> > Neo mailing list
> > [email protected]
> > https://lists.neo4j.org/mailman/listinfo/user
> >
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