WOQL Basics

To use this HowTo, first clone the Star Wars demo into your team on TerminusCMS. You will then have full access to the data needed for this tutorial.

Writing a WOQL Query

First, go to the WOQL Query Panel in the UI. Now you can type a query using the syntax of the JS client in the panel.

Queries are composed of variables, names, words and values.

Lets start with a simple query which just looks at one field.

We need to describe which variables we want to use, and we do that with Vars.

Next we add the limit word, to limit to 10 entries.

Then we complete the query with a triple word, using the source variable, the label field, and the destination variable.

let v = Vars("source", "destination");
limit(10).triple(v.source, 'label', v.destination)

The results will come back in a table below in the UI. In the client it will return as a list of JSON objects, having each of the variables described in Vars bound.

The destination variable is filled with elements of type string, because label always terminates in a string. However we can also add other fields to our object, to search for more information by chaining triple together.

let v = Vars("person", "eyes", "name");
limit(5)
  .triple(v.person, 'label', v.name)
  .triple(v.person, 'eye_color', v.eyes)

This query results in the following:

Name	Eyes	Person
Luke Skywalker	blue	People/1
Obi-Wan Kenobi	blue-gray	People/10
Anakin Skywalker	blue	People/11
Wilhuff Tarkin	blue	People/12
Chewbacca	blue	People/13

and

The . syntax is actually introducing an implicit and between triple words. We can rewrite our query above as:

let v = Vars("person", "eyes", "name");
limit(5)
  .and(triple(v.person, 'label', v.name),
       triple(v.person, 'eye_color', v.eyes))

select

Since we probably do not really need the person variable, as it is an id, and we are just using it to make sure we are talking about the same person in both triples, we can use select to remove it.

let v = Vars("person", "eyes", "name");
limit(5)
  .select(v.name, v.eyes)
  .and(triple(v.person, 'label', v.name),
       triple(v.person, 'eye_color', v.eyes))

Now we get back the table with the person column removed.