Home > Develop > Ecosystem integrations >

JanusGraph

Attention

This page documents an earlier version. Go to the latest version.

In this tutorial, we are first going to setup JanusGraph to work with YugabyteDB as the underlying database. Then, using the Gremlin console, we are going to load some data and run some graph commands.

1. Start local cluster

Start a cluster on your local machine. Check that you are able to connect to YugabyteDB using cqlsh by doing the following.

$ cqlsh

Connected to local cluster at 127.0.0.1:9042.
[cqlsh 5.0.1 | Cassandra 3.9-SNAPSHOT | CQL spec 3.4.2 | Native protocol v4]
Use HELP for help.
cqlsh> DESCRIBE KEYSPACES;

system_schema  system_auth  system

cqlsh>

2. Download JanusGraph

Download from the JanusGraph downloads page. This tutorial uses the 0.2.0 version of JanusGraph.

$ wget https://github.com/JanusGraph/janusgraph/releases/download/v0.2.0/janusgraph-0.2.0-hadoop2.zip
$ unzip janusgraph-0.2.0-hadoop2.zip
$ cd janusgraph-0.2.0-hadoop2

3. Run JanusGraph with YugabyteDB

Start the Gremlin console by running ./bin/gremlin.sh. You should see something like the following.

$ ./bin/gremlin.sh
         \,,,/
         (o o)
-----oOOo-(3)-oOOo-----
plugin activated: janusgraph.imports
plugin activated: tinkerpop.server
plugin activated: tinkerpop.utilities
plugin activated: tinkerpop.hadoop
plugin activated: tinkerpop.spark
plugin activated: tinkerpop.tinkergraph
gremlin>

Now use the CQL config to initialize JanusGraph to talk to Yugabyte.

gremlin> graph = JanusGraphFactory.open('conf/janusgraph-cql.properties')
==>standardjanusgraph[cql:[127.0.0.1]]

Open the YugabyteDB UI to verify that the janusgraph keyspace and the necessary tables were created by opening the following URL in a web browser: http://localhost:7000/ (replace localhost with the ip address of any master node in a remote depoyment). You should see the following.

List of keyspaces and tables when running JanusGraph on YugabyteDB

4. Load sample data

We are going to load the sample data that JanusGraph ships with - the Graph of the Gods. You can do this by running the following:

gremlin> GraphOfTheGodsFactory.loadWithoutMixedIndex(graph,true)
==>null
gremlin> g = graph.traversal()
==>graphtraversalsource[standardjanusgraph[cql:[127.0.0.1]], standard]

5. Graph traversal examples

For reference, here is the graph data loaded by the Graph of the Gods. You can find a lot more useful information about this in the JanusGraph getting started page.

Graph of the Gods

Retrieve the Saturn vertex

gremlin> saturn = g.V().has('name', 'saturn').next()
==>v[4168]

Who is Saturn’s grandchild?

gremlin> g.V(saturn).in('father').in('father').values('name')
==>hercules

Queries about Hercules

gremlin> hercules = g.V(saturn).repeat(__.in('father')).times(2).next()
==>v[4120]

// Who were the parents of Hercules?
gremlin> g.V(hercules).out('father', 'mother').values('name')
==>jupiter
==>alcmene

// Were the parents of Hercules gods or humans?
gremlin> g.V(hercules).out('father', 'mother').label()
==>god
==>human

// Who did Hercules battle?
gremlin> g.V(hercules).out('battled').valueMap()
==>[name:[hydra]]
==>[name:[nemean]]
==>[name:[cerberus]]

// Who did Hercules battle after time 1?
gremlin> g.V(hercules).outE('battled').has('time', gt(1)).inV().values('name')
==>cerberus
==>hydra

6. Complex graph traversal examples

Who are Pluto’s cohabitants?

gremlin> pluto = g.V().has('name', 'pluto').next()
==>v[8416]

// who are pluto's cohabitants?
gremlin> g.V(pluto).out('lives').in('lives').values('name')
==>pluto
==>cerberus

// pluto can't be his own cohabitant
gremlin> g.V(pluto).out('lives').in('lives').where(is(neq(pluto))).values('name')
==>cerberus
gremlin> g.V(pluto).as('x').out('lives').in('lives').where(neq('x')).values('name')
==>cerberus
gremlin>

Queries about Pluto’s Brothers.

// where do pluto's brothers live?
gremlin> g.V(pluto).out('brother').out('lives').values('name')
==>sea
==>sky

// which brother lives in which place?
gremlin> g.V(pluto).out('brother').as('god').out('lives').as('place').select('god', 'place')
==>[god:v[4248],place:v[4320]]
==>[god:v[8240],place:v[4144]]

// what is the name of the brother and the name of the place?
gremlin> g.V(pluto).out('brother').as('god').out('lives').as('place').select('god', 'place').by('name')
==>[god:neptune,place:sea]
==>[god:jupiter,place:sky]

7. Global graph index examples

Geo-spatial indexes - events that have happened within 50 kilometers of Athens (latitude:37.97 and long:23.72).

// Show all events that happened within 50 kilometers of Athens (latitude:37.97 and long:23.72).
gremlin> g.E().has('place', geoWithin(Geoshape.circle(37.97, 23.72, 50)))
==>e[4cj-36g-7x1-6c8][4120-battled->8216]
==>e[3yb-36g-7x1-9io][4120-battled->12336]

// For these events that happened within 50 kilometers of Athens, show who battled whom.
gremlin> g.E().has('place', geoWithin(Geoshape.circle(37.97, 23.72, 50))).as('source').inV().as('god2').select('source').outV().as('god1').select('god1', 'god2').by('name')
==>[god1:hercules,god2:hydra]
==>[god1:hercules,god2:nemean]