The Arachne Graph Database server

To Install

go get github.com/bmeg/arachne

If you have defined $GOPATH the application will be installed at $GOPATH/bin/arachne otherwise it will be $HOME/go/bin/arachne

To Turn on server

arachne server

To Run Larger 'Amazon Data Test'

Turn on local arachne server

Download test data

curl -O http://snap.stanford.edu/data/bigdata/amazon/amazon-meta.txt.gz

Convert the data

python $GOPATH/src/github.com/bmeg/arachne/test/amazon_convert.py amazon-meta.txt.gz test.data

Create Amazon Graph

arachne create amazon

List the Graphs

arachne list

Load data

arachne load --edge test.data.edge --vertex test.data.vertex --graph amazon

Some example queries

import aql
import json

conn = aql.Connection("http://localhost:8000")

O = conn.graph("amazon")

#Count the Vertices
print list(O.query().V().count().execute())
#Count the Edges
print list(O.query().E().count().execute())

#Try simple traveral
#print O.query().V("B00000I06U").outEdge().execute()


#Do a group count of the different 'group's in the graph
print O.query().V().groupCount("group").execute()

#use graph to find every Book that is similar to a DVD
for a in O.query().V().has("group", "Book").mark("a").outgoing("similar").has("group", "DVD").mark("b").select(["a", "b"]).execute():
    print a