This Code Pattern contains sample data and code for running a Twitter-like application in JanusGraph. The utility code illustrates how to use OLTP APIs to define schema, ingest data, and query graph. Developers can use or modify the code to build and operate their custom graph applications, or create similar java and groovy files to interact with JanusGraph.
When the reader has completed this Code Pattern, they will understand how to:
- Generate a synthetic graph dataset
- Load a graph schema from json
- Import graph data in csv files into JanusGraph database
- Query and update graph data using Console and REST API
- Setup and configure a distributed JanusGraph system
Prerequisites: Install and configure JanusGraph, Cassandra, ElasticSearch, janusgraph-utils
- The user generates Twitter sample schema and data using JanusGraph utilities
- The user loads schema and imports data in backend servers using JanusGraph utilities
- The user makes search and update requests in a REST/custom client
- The client app sends the REST requests to JanusGraph server
- The JanusGraph server interacts with backend to process and return graph data
- Apache Cassandra: An open source, scalable, high availability database.
- JanusGraph: A highly scalable graph database optimized for storing and querying large graphs.
- Databases: Repository for storing and managing collections of data.
- Java: A secure, object-oriented programming language for creating applications.
- Install prerequisites
- Clone the repo
- Generate the graph sample
- Load schema and import data
- Run interactive remote queries
NOTE: These prerequisites can be installed on one server. The instructions are written for Cassandra 3.10 and ElasticSearch 5.3.0 on Linux. Newer versions should work, but might not have been tested. The folder structures on Mac can be different. Check Cassandra and ElasticSearch official documentations for details.
Install Cassandra 3.10 on the storage server. Make the following changes in /etc/cassandra/cassandra.yaml
and restart Cassandra.
start_rpc: true
rpc_address: 0.0.0.0
rpc_port: 9160
broadcast_rpc_address: x.x.x.x (your storage server ip)
Install ElasticSearch 5.3.0 on the index server. Make the following changes in /etc/elasticsearch/elasticsearch.yml
and restart ElasticSearch.
network.host: x.x.x.x (your index server ip)
Install JanusGraph on the graph server:
- Install java, maven, git
- Run
git clone https://github.com/JanusGraph/janusgraph.git
- Run the following commands in the
janusgraph
folder:
git checkout 4609b6731a01116e96e554140b37ad589f0ae0ca
mvn clean install -DskipTests=true
cp conf/janusgraph-cassandra-es.properties conf/janusgraph-cql-es.properties
- Make the following changes in conf/janusgraph-cql-es.properties:
storage.backend=cql
storage.hostname=x.x.x.x (your storage server ip)
index.search.hostname=x.x.x.x (your index server ip)
Install a REST client, such as RESTClient add-on for Firefox, on the client machine.
Clone the janusgraph-utils
on the graph server and run mvn package
.
git clone https://github.com/IBM/janusgraph-utils.git
cd janusgraph-utils/
mvn package
Run the command in janusgraph-utils
folder to generate data into /tmp
folder.
./run.sh gencsv csv-conf/twitter-like-w-date.json /tmp
Modify the generated user file under /tmp
so the sample queries will return with data.
sed -i -e '2s/.*/1,Indiana Jones/' /tmp/User.csv
A graph schema can be loaded from either the Gremlin console or a java utility. You can check the
doc doc/users_guide.md for details. Alternatively, just run one command in janusgraph-utils
folder to
load schema and import data.
export JANUSGRAPH_HOME=~/janusgraph
./run.sh import ~/janusgraph/conf/janusgraph-cql-es.properties /tmp /tmp/schema.json /tmp/datamapper.json
Configure JanusGraph server by running these commands:
cd ~/janusgraph/conf/gremlin-server
cp ~/janusgraph-utils/samples/date-helper.groovy ../../scripts
cp ../janusgraph-cql-es.properties janusgraph-cql-es-server.properties
cp gremlin-server.yaml rest-gremlin-server.yaml
Add this line to janusgraph-cql-es-server.properties:
gremlin.graph=org.janusgraph.core.JanusGraphFactory
Change the following four lines in rest-gremlin-server.yaml:
host: x.x.x.x (your server ip)
channelizer: org.apache.tinkerpop.gremlin.server.channel.HttpChannelizer
graph: conf/gremlin-server/janusgraph-cql-es-server.properties}
scripts: [scripts/empty-sample.groovy,scripts/date-helper.groovy]}}
Start JanusGraph server:
cd ~/janusgraph; ./bin/gremlin-server.sh ./conf/gremlin-server/rest-gremlin-server.yaml
Now you can query and update graph data using REST. For example, send REST requests using RESTClient in browser with following:
Method: POST
URL: https://x.x.x.x:8182
Body: {"gremlin":“query_to_run"}
You can find sample search and insert queries in samples/twitter-like-queries.txt.
- Demo on Youtube: Watch the video.
- JanusGraph: Learn more about this highly scalable graph database optimized for storing and querying large graphs distributed across a multi-machine cluster.
- Data and Analytics Reference Architecture: Learn how this Journey fits into the Data and Analytics Reference Architecture
- Data Analytics Code Patterns: Enjoyed this Code Pattern? Check out our other Data Analytics Code Patterns
- AI and Data Code Pattern Playlist: Bookmark our playlist with all of our Code Pattern videos