Hi John,

Happy to see it helped. Keep us posted the progress of your project!!!

Thanks

Luigi


2017-03-20 5:09 GMT+01:00 John J. Szucs <john.j.sz...@gmail.com>:

> Luigi,
>
> To close this out, I implemented your Option #2 suggestion. I found at
> very good example at http://stackoverflow.com/questions/32953396/orientdb-
> edge-index-via-java and the results are absolutely spectacular!
>
> Thanks for your help!
>
> BTW: We will soon be launching our technology, which uses OrientDB for
> natural language processing and Semantic Web applications, on the Web. When
> we do, I will definitely write up a case study for you, Luca, and the other
> folks at OrientDB whose help has been so essential. And when we get
> investment or gain some traction (users, licensees, etc.) I look forward to
> buying a real license, support contract, etc. because that's a win-win for
> all of us!
>
> -- John
>
> On Thursday, March 16, 2017 at 9:46:57 AM UTC-4, Luigi Dell'Aquila wrote:
>>
>> Hi John,
>>
>> In MATCH statement (2.2) and more in general in 3.0 we are changing the
>> optimization of queries based on indexes, but you will still need an index
>> on the edge for such use case, so the big part of the work will be needed
>> anyway.
>>
>> Thanks
>>
>> Luigi
>>
>>
>> 2017-03-16 12:43 GMT+01:00 John J. Szucs <john.j...@gmail.com>:
>>
>>> Luigi,
>>>
>>> Yes, this helps. Your option #2 is more applicable to my project.
>>>
>>> Will OrientDB 3.0 significantly change/improve this use case? I don't
>>> want to implement this manual edge index if it will become unnecessary in
>>> (a few?) weeks.
>>>
>>> Thanks!
>>>
>>> -- John
>>>
>>> On Mar 16, 2017, at 07:24, Luigi Dell'Aquila <luigi.de...@gmail.com>
>>> wrote:
>>>
>>> Hi John,
>>>
>>> you have two alternatives:
>>>
>>> 1) use OrientVertex.countEdges() to check which of the two vertices has
>>> a smaller number of edges. This approach is good if you know that at most
>>> one is a supernode
>>>
>>> 2) if you know that both vertices can be supernodes, then the only
>>> efficient way to find the edge is to define and index on edge(out, in) and
>>> do the indexed query directly
>>>
>>> I hope it helps
>>>
>>> Thanks
>>>
>>> Luigi
>>>
>>>
>>> 2017-03-16 11:18 GMT+01:00 John J. Szucs <john.j...@gmail.com>:
>>>
>>>> I need to *very quickly* find the edges that directly connect two
>>>> specified vertices, using either a SQL query, the Java API, or a
>>>> combination of the two. If it helps, at this point in the program, I know
>>>> for a fact that the two vertices are adjacent. What I'm trying to determine
>>>> is *how* they are adjacent.
>>>>
>>>> The OrientVertex.getEdges(OrientVertex, Direction, String ...)
>>>> extension to the Blueprints API does what I need to do functionally, but it
>>>> can be quite slow if the first vertex has many edges. Looking into the
>>>> source code, I found that this is because this method essentially gets
>>>> *all* of the edges from the first vertex that match the direction and label
>>>> criteria and then checks if they are adjacent (connect to) the second
>>>> vertex.
>>>>
>>>> I have struggled with this for days. Does anyone have a better/faster
>>>> approach?
>>>>
>>>> Thanks!
>>>>
>>>> -- John
>>>>
>>>> --
>>>>
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