ArangoDB v3.13 is under development and not released yet. This documentation is not final and potentially incomplete.

Example graphs

How to use the example graphs built into ArangoDB

ArangoDB comes with a set of easy-to-understand graphs for demonstration purposes.

  • In the web interface, navigate to the Graphs section, click the Add Graph card, go to the Examples tab, and click the Create button of one of the listed graphs.

  • In arangosh, run require("@arangodb/graph-examples/example-graph").loadGraph("<name>"); with <name> substituted by the name of an example graph listed below.

You can visually explore the created graphs in the Graph viewer of the web interface.

You can take a look at the script that creates the example graphs on GitHub  for reference about how to manage graphs programmatically.

Knows Graph

The knows graph is a set of persons knowing each other:

Persons relation Example Graph

The graph consists of a persons vertex collection connected via a knows edge collection. There are five persons, Alice, Bob, Charlie, Dave, and Eve. They have the following directed relations:

  • Alice knows Bob
  • Bob knows Charlie
  • Bob knows Dave
  • Eve knows Alice
  • Eve knows Bob

Example of how to create the graph, inspect its vertices and edges, and delete it again:

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("knows_graph");
db.persons.toArray()
db.knows.toArray();
examples.dropGraph("knows_graph");
Show output

Note: With the default traversal depth of 2 of the graph viewer, you may not see all edges of this graph by default.

Traversal Graph

The traversalGraph has been designed to demonstrate filters in traversals. It has some labels to filter on it. The graph’s vertices are in a collection called circles, and it has an edge collection edges to connect them.

Traversal Graph

Circles have unique numeric labels. Edges have two boolean attributes (theFalse always being false, theTruth always being true) and a label sorting B - D to the left side, G - K to the right side. Left and right side split into paths - at B and G, which are each direct neighbors of the root-node A. Starting from A, the graph has a depth of 3 on all its paths.

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("traversalGraph");
db.circles.toArray();
db.edges.toArray();
examples.dropGraph("traversalGraph");
Show output

Note: With the default traversal depth of 2 of the graph viewer, you may not see all edges of this graph by default.

k Shortest Paths Graph

The vertices in the kShortestPathsGraph graph are train stations of cities in Europe and North America. The edges represent train connections between them, with the travel time for both directions as edge weight.

Train Connection Map

See the k Shortest Paths page for query examples.

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("kShortestPathsGraph");
db.places.toArray();
db.connections.toArray();
examples.dropGraph("kShortestPathsGraph");
Show output

Mps Graph

The mps_graph has been created to demonstrate shortest path algorithms and the abbreviation stands for multiple path search.

The example graph consists of vertices in the mps_verts collection and edges in the mps_edges collection. It is a simple traversal graph with start node A and end node C.

Mps Graph

With the Shortest Path algorithm, you either get the shortest path A - B - C or A - D - C. With the All Shortest Paths algorithm, both shortest paths are returned.

Example of how to create the graph, inspect its vertices and edges, and delete it again:

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("mps_graph");
db.mps_verts.toArray();
db.mps_edges.toArray();
examples.dropGraph("mps_graph");
Show output

World Graph

The worldCountry graph has as node structure as follows:

world → continent → country → capital

World Graph

In some cases, edge directions aren’t forward. Therefore, it may get displayed disjunct in the graph viewer.

You can create the graph as a named graph using the name worldCountry, or as an anonymous graph (vertex and edge collections only) using the name worldCountryUnManaged.

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("worldCountry");
db.worldVertices.toArray();
db.worldEdges.toArray();
examples.dropGraph("worldCountry");
var g = examples.loadGraph("worldCountryUnManaged");
examples.dropGraph("worldCountryUnManaged");
Show output

Social Graph

The social graph is a set of persons and their relations. The graph has female and male persons as vertices in two vertex collections. The edges are their connections and stored in the relation edge collection.

Social Example Graph

Example of how to create the graph, inspect its vertices and edges, and delete it again:

var examples = require("@arangodb/graph-examples/example-graph");
var graph = examples.loadGraph("social");
db.female.toArray()
db.male.toArray()
db.relation.toArray()
examples.dropGraph("social");
Show output

City Graph

The routeplanner graph is a set of european cities and their fictional traveling distances as connections. The graph has the cities as vertices in multiple vertex collections (germanCity and frenchCity). The edges are their interconnections in several edge collections (frenchHighway, germanHighway, internationalHighway).

Cities Example Graph

Example of how to create the graph, inspect its edges and vertices, and delete it again:

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("routeplanner");
db.frenchCity.toArray();
db.germanCity.toArray();
db.germanHighway.toArray();
db.frenchHighway.toArray();
db.internationalHighway.toArray();
examples.dropGraph("routeplanner");
Show output

Connected Components Graph

A small example graph comprised of components (vertices) and connections (edges). Good for trying out graph algorithms such as Weakly Connected Components (WCC).

Three disjoint subgraphs with 36 nodes and edges in total

var examples = require("@arangodb/graph-examples/example-graph");
var g = examples.loadGraph("connectedComponentsGraph");
db.components.toArray();
db.connections.toArray();
examples.dropGraph("connectedComponentsGraph");
Show output

Higher volume graph examples

All of the above examples are rather small to make them easy to comprehend and demonstrate how graphs work in ArangoDB. However, there are several, freely available datasets on the web that are a lot bigger.

You can find a collection of datasets with import scripts on GitHub .

Another huge graph is the Pokec social network  from Slovakia. See this blogpost  for details and an import script.

More examples

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