Data types and Schema
It’s time to talk about data types and nodes
There was some magic in the last query because some of the queried
edges returned a value (
age), but some were edges to
other nodes (
owns_pet) that themselves had further properties.
The truth is that there is a schema to tell us how to interpret an edge.
The visualization won’t be much use this time. Have a look at the JSON to find out about the schema of the example.
There are two kinds of nodes in a graph, let’s call them nodes and
values (or literals). In the example, nodes representing people have
name edge to a
string value and an
age edge to an
int value. A value can’t have any edges coming out of it.
Here are the types you can use to store values in Dgraph.
||signed 64 bit integer|
||double precision floating point number|
||ID’s stored as strings|
||RFC3339 time format with optional timezone eg: 2006-01-02T15:04:05.999999999+10:00 or 2006-01-02T15:04:05.999999999|
||geometries stored using go-geom|
There’s also the
uid type, for nodes. The schema tells us the
friend edge goes from one node to another, but not to a value.
There’s lots more about schema later in the tutorial. For now, though, we know more about the structure of our graph and the types of things in it.