Hi, Tim.

Here's a section on the various memory tuning options for Neo.

http://wiki.neo4j.org/content/Neo_Performance_Guide

In terms of setting Java VM parameters, I know how to do it for a Java app
or application server, but not for Scala. ;-)

Anyone?

Rick


-----Original Message-----
From: user-boun...@lists.neo4j.org [mailto:user-boun...@lists.neo4j.org] On
Behalf Of Tim Langley
Sent: Monday, January 11, 2010 6:23 PM
To: Neo user discussions
Subject: Re: [Neo] Neo is very slow (I think I'm being stupid)

hey Rick

Thanks for this (I'm n00b tho - how do I do this pls?)

T

On 11 Jan 2010, at 23:21, Rick Bullotta wrote:

> ....and tweak the memory allocation settings for the jvm and neo... 
> 
> 
> -----Original Message-----
> From: Peter Neubauer <peter.neuba...@neotechnology.com>
> Date: Mon, 11 Jan 2010 23:19:07 
> To: Neo user discussions<user@lists.neo4j.org>
> Subject: Re: [Neo] Neo is very slow (I think I'm being stupid)
> 
> Tim,
> I think the structure is quite normal, would be good to see the code,
> you could send it to me off-list. That way I get an impression on both
> the querying code, the dataset size and maybe test-run it.
> 
> 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                - Relationships count.
> http://gremlin.tinkerpop.com    - PageRank in 2 lines of code.
> http://www.linkedprocess.org   - Computing at LinkedData scale.
> 
> 
> 
> On Mon, Jan 11, 2010 at 10:28 PM, Tim Langley <timlang...@me.com> wrote:
>> hi Peter
>> Thanks for the rapid response (one of the reasons I really like the Neo
crowd)
>> 
>> ok - structure
>> Node: Event (for the start of a session)
>>                So the first time a user loads a page then creating a new
NodeEvent
>> Node: EventItem
>>                Every time the user generates a new page view then a new
NodeEventItem is created
>> 
>> ok - query code:
>> I'm trying to ask questions like "How many EventItems are under each
Event?" or "How many Events were there between Time X and Time Y?"
>> 
>> I've tried using the Traverser and also iterating through each
relationship individually?
>> 
>> (Does this help - or would you like to see the actual code)
>> 
>> T
>> 
>> On 11 Jan 2010, at 21:23, Peter Neubauer wrote:
>> 
>>> Tim,
>>> yes, since your loading evidently is working normally, a look at your
>>> graph layout and query code would be great to have any opinion on what
>>> might be wrong/not optimal.
>>> 
>>> 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                - Relationships count.
>>> http://gremlin.tinkerpop.com    - PageRank in 2 lines of code.
>>> http://www.linkedprocess.org   - Computing at LinkedData scale.
>>> 
>>> 
>>> 
>>> On Mon, Jan 11, 2010 at 10:18 PM, Tim Langley <timlang...@me.com> wrote:
>>>> hey :)
>>>> 
>>>> ok - I'm trying to build a "web-analytics" program using Neo4j
>>>> in a very similar manner to
http://wiki.neo4j.org/content/Site_Usage_Analytics
>>>> I'm using Scala (and whilst eventually there will be a REST API - at
the moment everything is within Scala)
>>>> 
>>>> The loading of data is blisteringly fast (really impressed)
>>>> However - the querying is horribly slow
>>>> 
>>>> For example: If I want to get the total number of relationships (or
Nodes) attached to a Node it's painfully slow
>>>> 
>>>> Am I doing something stupid?
>>>> 
>>>> I can post more code / details etc.. if required
>>>> 
>>>> Thanks in advance
>>>> T
>>>> _______________________________________________
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>>>> 
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>> 
>> Tel:            +44 7989 539363
>> Email:  t...@timlangley.me.uk
>> Web:    http://www.linkedin.com/in/langleytim
>> Skype:  LangleyTim
>> Twitter:        @TimLangley
>> 
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Tel:            +44 7989 539363
Email:  t...@timlangley.me.uk
Web:    http://www.linkedin.com/in/langleytim
Skype:  LangleyTim
Twitter:        @TimLangley

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