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Dgraph DQL Tour

Schema

Adding Data - mutating data

Now that the schema has been updated we can add data as triples.

Dgraph creates its own internal id’s for nodes, but we need some way to refer to the same node many times in our input data. That’s what _:company1 does.

Technically, these are ‘blank nodes’. They tell Dgraph to create a node, give it an internal id and make sure it’s used consistently.

After the upload, the label _:company1 doesn’t exist in Dgraph and we can’t query for it. You’ll see in the result that Dgraph has replaced it with an internal id. You can query for this internal id — remember func: uid(<uid_number>).

Making changes to the graph stored in Dgraph is called mutating the data.

You can load the same example data using JSON format. You’re able to do that through our clients, cURL or Ratel UI.

See the JSON:

Tip

The JSON example may end up helping you better understand the format in RDF.

Dgraph DQL Tour

An interactive tutorial with real queries and real results, designed to run on Chrome on your machine.

Modules

. GraphQL Introduction . GraphQL Basic Features . GraphQL Schema . GraphQL Search . GraphQL Data and More Data . DQL Introduction . DQL Basic Features . DQL Schema . DQL Data and More Data . DQL Query Blocks and Variables . DQL Search

DQL Schema

This module shows you how schemas work inside Dgraph; and how to add, update, and delete data.

Module Breakdown

3.1. Adding schema - mutating schema 3.2. Adding Data - mutating data 3.3. External Identifiers 3.4. Language Support 3.5. Reverse edges 3.6. Reverse edges Query 3.7. Exercise : Integrating existing data 3.8. Deleting Data 3.9. Expand Predicate 3.10. Congratulations
Endpoint: /mutate
Dgraph: http://localhost:8080
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Response

3.2 Adding Data - mutating data