Setup and configuration of JanusGraph for a Spark cluster and Cassandra

Question

I am running JanusGraph (0.1.0) with Spark (1.6.1) on a single machine. I did my configuration as described here. When accessing the graph on the gremlin-console with the SparkGraphComputer, it is always empty. I cannot find any error in the logfiles, it is just an empty graph. Is anyone using JanusGraph with Spark and can share his configuration and properties? Using a JanusGraph, I get the expected Output: ``` gremlin> graph=JanusGraphFactory.open('conf/test.properties') ==>standardjanusgraph[cassandrathrift:[127.0.0.1]] gremlin> g=graph.traversal() ==>graphtraversalsource[standardjanusgraph[cassandrathrift:[127.0.0.1]], standard] gremlin> g.V().count() 14:26:10 WARN org.janusgraph.graphdb.transaction.StandardJanusGraphTx - Query requires iterating over all vertices [()]. For better performance, use indexes ==>1000001 gremlin> ``` Using a HadoopGraph with Spark as GraphComputer, the graph is empty: ``` gremlin> graph=GraphFactory.open('conf/test.properties') ==>hadoopgraph[cassandra…

Accepted Answer

Try fixing these properties:

```
janusgraphmr.ioformat.conf.storage.keyspace=janusgraph
storage.keyspace=janusgraph
```

Replace with:

```
janusgraphmr.ioformat.conf.storage.cassandra.keyspace=janusgraph
storage.cassandra.keyspace=janusgraph
```

The default keyspace name is `janusgraph`, so despite the mistakes on the property names, I don't think you would have observed that problem unless you loaded your data using a different keyspace name.

The latter property is described in the Configuration Reference. Also, keep an eye on this open issue to improve the docs for Hadoop-Graph usage.

Setup and configuration of JanusGraph for a Spark cluster and Cassandra

Solution

Problem