Along the side are the various actions or views you can take. From the top, these are:
- Run Query (run the query)
- Gizmo (a dropdown, to pick your query language, MQL is the other)
- GizmoAPI.md: This is the one of the two query languages used either via the REPL or HTTP interface.
- MQL.md: The other query language the interfaces support.
- Query (a request/response editor for the query language)
- Query Shape (a visualization of the shape of the final query. Does not execute the query.)
- Visualize (runs a query and, if tagged correctly, gives a sigmajs view of the results)
- Write (an interface to write or remove individual quads or quad files)
- Documentation (this documentation)
To use the visualize function, emit, either through tags or JS post-processing, a set of JSON objects containing the keys source
and target
. These will be the links, and nodes will automatically be detected.
For example:
[
{
source: "node1",
target: "node2"
},
{
source: "node1",
target: "node3"
}
];
Other keys are ignored. The upshot is that if you use the "Tag" functionality to add "source" and "target" tags, you can extract and quickly view subgraphs.
// Visualize who dani follows.
g.V("<dani>").Tag("source").Out("<follows>").Tag("target").All()
The visualizer expects to tag nodes as either "source" or "target." Your source is represented as a blue node. While your target is represented as an orange node. The idea being that our node relationship goes from blue to orange (source to target).