Hey,

Is it the exact same query?
If not, it would be interesting to know how many Relations and Nodes have
been traversed.
Depending on graph topology this can differ a lot.

cheers Martin Neumann


On Tue, Nov 16, 2010 at 10:46 AM, Martin Grimmer
<martin.grim...@unister.de>wrote:

> Hello,
>
> currently we evaluate Neo4j for one of our projects.
> Our tests showed some strange behaviour to us:
>
>    ...
>    at query 941/10000000 (0,009410) with 1809 mb in 0,300000 seconds -
>    avg: 0,308696 - max: 54,533000
>    at query 942/10000000 (0,009420) with 1809 mb in 0,069000 seconds -
>    avg: 0,308441 - max: 54,533000
>    at query 943/10000000 (0,009430) with 1809 mb in 0,057000 seconds -
>    avg: 0,308174 - max: 54,533000
>    at query 944/10000000 (0,009440) with 1809 mb in 0,038000 seconds -
>    avg: 0,307888 - max: 54,533000
>    at query 945/10000000 (0,009450) with 1809 mb in 0,630000 seconds -
>    avg: 0,308229 - max: 54,533000
>    at query 946/10000000 (0,009460) with 1809 mb in* 60,997000 seconds*
>    - avg: 0,372450 - max: 60,997000
>    ... fast again
>
> Our Neo4j database is about 9 GB in size with about 130M arcs and 15M
> nodes.
> A query gets two strings as input, these are keys for the lucene index
> service to get access to two nodes. Then we start
> an algorithm for these two nodes which determines nodes which are
> adjacent (by 2 steps BFS) to both restricted to only one specific arc type.
> I dont know why some queries are so much (> x100) slower. Maybe you are
> able to help me?
>
> best regards
> --
>
> * Martin Grimmer *
> Developer, Semantic Web Project, IT
>
> Unister GmbH
> Barfußgässchen 11 | 04109 Leipzig
>
> Telefon: +49 (0)341 49288 5064
> martin.grim...@unister.de 
> <mailto:%0a%20%20martin.grim...@unister.de<0a%2520%2520martin.grim...@unister.de>
> >
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>
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>
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