OsProject | |
---|---|
edit | |
id | pyjanusgraph |
state | |
owner | BITPlan |
title | Python janusgraph utility library |
url | https://github.com/BITPlan/pyjanusgraph |
version | 0.0.1a2 |
description | |
date | 2020/04/12 |
since | |
until |
JanusGraph is the first Apache Tinkerpop graph database i could work with Gremlin Python.
pyjanusgraph shall make it easier to work with JanusGraph from Python
pip install pyjanusgraph
First start your janusgraph server e.g. by using the docker command:
docker run --name jg -it -p 8182:8182 --mount source=/$HOME/graphdata,target=/graphdata,type=bind janusgraph/janusgraph
OsProject | |
---|---|
edit | |
id | pyjanusgraph |
state | |
owner | BITPlan |
title | Python janusgraph utility library |
url | https://github.com/BITPlan/pyjanusgraph |
version | 0.0.1a2 |
description | |
date | 2020/04/12 |
since | |
until |
JanusGraph is the first Apache Tinkerpop graph database i could work with Gremlin Python.
pyjanusgraph shall make it easier to work with JanusGraph from Python
pip install pyjanusgraph
First start your janusgraph server e.g. by using the docker command:
docker run --name jg -it -p 8182:8182 --mount source=/$HOME/graphdata,target=/graphdata,type=bind janusgraph/janusgraph
The RemoteGremlin class provides a simplified API to work with a remote Gremlin Server connection to JanusGraph. Optionally you may share data with an e.g docker based Server by setting up a sharepoint. See Issue #1
The RemoteGremlin class provides a simplified API to work with a remote Gremlin Server connection to JanusGraph. Optionally you may share data with an e.g docker based Server by setting up a sharepoint. See Issue #1
from tp.gremlin import RemoteGremlin
import os
rg = RemoteGremlin()
g=rg.open()
vList = g.V().toList()
print ("found %d vertices" % (len(vList)))
rg.close()
from tp.gremlin import RemoteGremlin
import os
rg = RemoteGremlin()
rg.setSharepoint(os.path.expanduser("~/graphdata"), "/graphdata/")
g=rg.open()
graphmlFile = "air-routes-small.xml";
shared = rg.share(graphmlPath)
g.io(shared).read().iterate()
vCount = g.V().count().next()
print ("%s has %d vertices" % (shared, vCount))
rg.close()