Query Neo4J Data as a MySQL Database in Node.js

You can use the SQL Gateway from the ODBC Driver for Neo4J to query Neo4J data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and start querying using Node.js.

Connect to Neo4J Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

To connect to Neo4j, set the following connection properties:

• Server: The server hosting the Neo4j instance.
• Port: The port on which the Neo4j service is running. The provider connects to port 7474 by default.
• User: The username of the user using the Neo4j instance.
• Password: The password of the user using the Neo4j instance.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Neo4J data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Query Neo4J from Node.js

The following example shows how to define a connection and execute queries to Neo4J with the mysql module. You will need the following information:

• Host name or address, and port: The machine and port where the MySQL remoting service is listening for MySQL connections.
• Username and password: The username and password of a user you authorized on the Users tab of the SQL Gateway.
• Database name: The DSN you configured for the MySQL remoting service.

Connect to Neo4J data and start executing queries with the code below:

var mysql      = require('mysql');
var connection = mysql.createConnection({
  host     : 'localhost',
  database : 'CData Neo4j Sys',
  port	   : '3306',
  user     : 'mysql_user',
  password : 'test'
});
connection.connect();
connection.query('SELECT * FROM ProductCategory', function(err, rows, fields) {
  if (err) throw err;
  console.log(rows);
});

connection.end();