Michael,
This is a major performance bottleneck for me as I have nodes that may have 
1M relationships of type 1, but only a hundred relationships of type 2. 
Traversal performance for type 2 will be brought down due to the type 1 
relationships. I've read through the archives and it seems like this was 
being worked on over a year ago, but was never released. This is the main 
issue preventing me from purchasing an enterprise license, as I cannot 
commit to production use with this limitation. When is the planned release 
data on your roadmap?

My concrete use case is measuring cellular interactions in different 
people. For example, one person may have 1 million active cells, but only 
several hundred inactive cells. I need to be able to quickly query out the 
active and inactive cells with some filtering based on properties. Some 
type of index on the relationship that can help me quickly filter down to 
the cells I'm interested in. I also need to query out which active/inactive 
cells are shared between groups of people.



On Sunday, January 5, 2014 7:09:34 AM UTC-6, Michael Hunger wrote:
>
> This will be addressed in Neo4j 2.1 or 2.2 depending on the roadmap
>
> What is your concrete use-case?
>
> There are some ways to mitigate it manually for now depending on your 
> use-cases
>
> Eg introduce a hierarchy or a separate node for the large relationship-set
>
> Or index certain rels that are important to access quickly in a legacy 
> relationsship index
>
>
>
>
>
> Sent from mobile device
>
> Am 05.01.2014 um 13:42 schrieb Stefan Armbruster 
> <ml...@armbruster-it.de<javascript:>
> >:
>
> Your understanding here is correct.
> In your example: Given a node with 10E7 relationships and you want to know 
> if it is connected to node x. If you know that x has significant lesser 
> relationships you can reverse the traversal direction and check if x is 
> connected to a. This will be cheaper as only the smaller linked list of 
> node x needs to be iterated. 
>  
>
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