Apache TinkerPop™ client integration

As an alternative to its native graph API, the DataStax Enterprise Java driver provides an integration layer to interact with DSE through the Apache TinkerPop™ library. This integration has also been referred to as the ‘Fluent API’. This functionality requires DataStax Enterprise version 5.0.3 or later.

This component is published in Maven central as a separate artifact:


DataStax drivers execution compatibility

This new package provides the necessary tools to get the most out the popular Apache TinkerPop Traversal API, while still getting the benefits of the DataStax drivers execution model. A Traversal is considered as a query, that can then be wrapped inside a GraphStatement.

Here’s how to create a DSE Java driver‘s GraphStatement out of a Apache TinkerPop Traversal:

// traversal() returns a simple GraphTraversalSource that is not meant to be iterated itself
GraphTraversalSource g = DseGraph.traversal();

GraphStatement graphStatement = DseGraph.statementFromTraversal(g.V().has("name", "marko"));
GraphResultSet grs = dseSession.executeGraph(graphStatement);

// the API does not change, whether what's executed is a String, or a Statement created from a Traversal, and so on.
for (GraphNode graphNode : grs) {
    Vertex v = graphNode.asVertex();

Statements created from Traversal instances will behave, with regards to the cluster, the same way the DSE Java driver behaves with DSE. All the advanced features of the DSE Java driver come into play, automatic retries, load balancing, DataCenter awareness, smart query logging, and so on.

Information about the returned result types with the DSE Java driver can be found on this page.

TinkerPop direct compatibility

This package also provides full compatibility with Apache TinkerPop’s query execution model and result types.

Here’s an example of how to get a Apache TinkerPop GraphTraversalSource that is remotely connected to a DseGraph server, communicating internally via the DSE Java driver:

DseCluster dseCluster = DseCluster.builder()
    .withGraphOptions(new GraphOptions()
DseSession dseSession = dseCluster.connect();

GraphTraversalSource g = DseGraph.traversal(dseSession);

// Now you can use the Traversal source and use it **as if** it was working against a local graph, and with the usual TinkerPop API. All the communication with the DSE Graph server is done transparently.
List<Vertex> vertices = g.V().hasLabel("person").toList();

Traversal sources with different configurations can easily be created. By default the options specific to DSE Graph are taken from the DseCluster configuration, however the API exposes a way to override each individual setting, per traversal source:

GraphTraversalSource gOLTP = DseGraph.traversal(dseSession, new GraphOptions().setGraphName("mygraph"));
GraphTraversalSource gOLAP = DseGraph.traversal(dseSession, new GraphOptions().setGraphName("myothergraph").setGraphSource(ANALYTICS_SOURCE_NAME));

Vertex v = gOLTP.V().has("name", "marko").next();
long count = gOLAP.V().count().next();

Please note that there is no interactivity with DSE Graph until a Terminal Step (such as next, toList, etc.) is performed.

A word on Results

Objects returned after the Remote traversal execution are objects that are detached from the original DSE Graph on the server. A detached element is an element that lives on its own, even though the detached elements contains the complete data, modifications made to a detached element do not affect the data stored in the DSE Graph.

Search and Geo

For ease of use, DSE Search and Geo predicates are directly integrated and provided in the programmatic API:

GraphTraversalSource g = DseGraph.traversal(dseSession, new GraphOptions().setGraphName("thegraph"));
Vertex v = g.V().has("textProp", Search.tokenPrefix("1")).next();


GraphTraversalSource g = DseGraph.traversal(dseSession, new GraphOptions().setGraphName("thegraph"));

Vertex v1 = g.addV(T.label, "geopoint", "point", Geo.point(50, 50)).next();
Vertex v2 = g.addV(T.label, "geopoint", "point", Geo.point(120, 120)).next();

List<Vertex> v3 = g.V().has("point", Geo.inside(49, 49, 4)).toList();

assert v3.size() == 1;
assert v1 == v3.get(0);

Please check out the Javadoc of the Geo and Search classes for more information.

Gremlin Domain Specific Languages (DSL)

The Gremlin language can be extended by users to match the user’s specific use cases and make the development of graph traversals easier.

Users may require a GraphTraversal class that exposes their domain-specific grammar and methods and need this new grammar via the Fluent API.

As of DSE Java driver 1.4.0, the DseGraph class exposes new additional utilities to create a traversal source equipped with custom user-defined traversal methods easily.

After generating a custom GraphTraversalSource as explained in the TinkerPop documentation, users may use it directly to create a GraphStatement out of a traversal, or iterate a connected traversal.

Here’s an example using GraphStatements and explicit execution through the DseSession:

// see TinkerPop documentation link for the generation of SocialTraversalSource
SocialTraversalSource gSocial = DseGraph.traversal(SocialTraversalSource.class);

GraphStatement gs = DseGraph.statementFromTraversal(gSocial.persons("marko").knows("vadas"));

GraphResultSet rs = dseSession.executeGraph(gs);

Using the direct iteration system from a connected TinkerPop custom traversal source:

SocialTraversalSource gSocial = DseGraph.traversal(dseSession, SocialTraversalSource.class);
List<Vertex> vertices = gSocial.persons("marko").knows("vadas").toList();

Programmatic Schema API

Available soon!…