Difference between revisions of "Pyjanusgraph"

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The [https://pyjanusgraph.readthedocs.io/en/latest/tp.html#tp.gremlin.RemoteGremlin RemoteGremlin] class provides a simplified
 
The [https://pyjanusgraph.readthedocs.io/en/latest/tp.html#tp.gremlin.RemoteGremlin 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
 
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.
+
Server by setting up a sharepoint. See [https://github.com/BITPlan/pyjanusgraph/issues/1 Issue #1]
 
=== accessing a remote graph ===
 
=== accessing a remote graph ===
 
<source lang='python'>
 
<source lang='python'>

Revision as of 10:32, 13 April 2020

OsProject

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  

Motivation

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

Installation

pip install -i https://test.pypi.org/simple/ pyjanusgraph==0.0.1a2

Usage

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

RemoteGremlin

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

accessing a remote graph

from tp.gremlin import RemoteGremlin
import os
rg = RemoteGremlin()
g=rg.open()
vList = g.V().toList()
print ("found %d vertices" % (len(vList)))
rg.close()

sharing data

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()

TinkerPopable

Links