Hi,

Can we link GIRAPH to some graph DB like Neo4j? The idea is to have the 
computation done on GIRAPH while storing the data in graph format itself to 
save recursive computation. I do know about Rexster API - 
http://giraph.apache.org/rexster.html . The problem is that the Rexster’s 
architecture diagram shows that even though GIRAPH can read from Neo4j, it 
won’t be able to store the computed graph outputs/attributes back on Neo4j. 
Storing the data on Neo4j is highly critical since the output might be used for 
further processing.

Please let me know if we have an more suitable API for converting GIRAPH output 
from HDFS to something like a graph DB like Neo4j.


Thanks & Regards
Raghuraj Mukherjee | +91-889-247-3017| 
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From: Carmen Manzulli [mailto:[email protected]]
Sent: Tuesday, February 10, 2015 9:29 PM
To: [email protected]
Subject: Re: very important question about partitioning and final combination

thanks for your help! :) now it's all clearer

2015-02-06 21:03 GMT+01:00 Lukas Nalezenec 
<[email protected]<mailto:[email protected]>>:
Hi,
It looks like you need some graph database. Maybe something like neo4j would be 
better for you.

Lukas


On 6.2.2015 16:59, Carmen Manzulli wrote:
Hi experts,
i've just two conceptual questions about giraph:
1) because of giraph works on hadoop, if i have more informations about a 
vertex in different partitions and also in different machines, for example, for 
a social graph or a person graph, about "Alan" (source id) who is (edge value) 
24 years old (target id) and, on another machine, there is a partition with 
"Alan"(source id) who lives(edge value) in Italy(target id), and so on: how 
giraph will  consider these relations if i ask for all people who live in Italy 
and are 24 years old ?

2) if giraph doesn't consider relations between same vertex in different 
partitions and machines when it runs compute() methos, is it possible to write 
a  function and make it executable after all iterations by giraph, so when all 
vertices are inactive?
thanks and regards,
Carmen.


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