An example to illustrate migration of JSON to Grakn
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This example looks at the migration of simple JSON data to build a knowledge base in GRAKN.AI. The data is an invented library catalogue of a very small number of books, and illustrates how to migrate simple data and handle issues such as preventing the creation of duplicate entities. You can find the data, schema and templates for this example in our sample projects repo on Github.

For a detailed overview of CSV migration, we recommend that you take a look at the Grakn documentation on JSON Migration and Graql templating.


The JSON data for the book catalogue is as follows:

    "books": [
            "title":"The Gruffalo",
            "author":"Julia Donaldson",
            "subject":"Children's Fiction"
            "title":"The Tear Thief",
            "author":"Carol Ann Duffy",
            "subject":"Children's Fiction"
            "title":"Selected Poems",
            "author":"Carol Ann Duffy",

The id value can be considered to be unique and identify each book. However, other values cannot be assumed to be unique. In the snippet shown above, note that the author Carol Ann Duffy and subject Children's Fiction are both duplicated. It is possible that a book title may also be duplicated, although this is not shown.


The schema for the book catalogue is as follows:


# Entities

book sub entity
	has bookId
	has title
	plays publication-item;

author sub entity
	has authorName
	plays publication-author;

subject sub entity
	has subjectName
	plays publication-subject; 

# Resources

bookId sub attribute datatype string;
title sub attribute datatype string;
authorName sub attribute datatype string;
subjectName sub attribute datatype string;

# Relations and Roles

publication sub relationship
	relates publication-item
	relates publication-author
	relates publication-subject;

publication-item sub role;
publication-author sub role;
publication-subject sub role;

Here, there are three entities, to reflect the book, author of the book and possible book subjects. There is one relationship, publication which between all three entities.

To load schema.gql into Grakn, make sure the engine is running and choose a clean keyspace in which to work (here we use the default keyspace, so we are cleaning it before we get started).

./grakn server clean
./grakn server start
./graql console -f ./schema.gql

Data Migration

Having loaded the schema, the next steps are to populate the knowledge base by migrating data into Grakn, using Graql templates. There are separate templates for each entity. First, for the books:


for(<books>) do {
    $book isa book
        has bookId <id>
        has title <title>;

The authors:


for(<books>) do {
    $author isa author
        has authorName <author>;

The subjects:


for(<books>) do {
    $subject isa subject
        has subjectName <subject>;

Finally, a template to build the relationships between the entities:

To call the migration script on each template:

./graql migrate json -t ./json/book-template.gql  -i ./json/library-data.json -k grakn
./graql migrate json -t ./json/author-template.gql  -i ./json/library-data.json -k grakn
./graql migrate json -t ./json/subject-template.gql  -i ./json/library-data.json -k grakn
./graql migrate json -t ./json/publication-template.gql  -i ./json/library-data.json -k grakn

The resultant Graql for the migration:

Visualise the Data

Add Borrower Data

Data Export

# Export the schema
./graql migrate export -schema > schema-export.gql

# Export the data
./graql migrate export -data > data-export.gql

Exporting data or the schema from Grakn, into Graql, will always redirect to standard out, so above we are sending the output to an appropriately named file.

Where Next?