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The Elasticsearch ODBC Driver is a powerful tool that allows you to connect with live Elasticsearch document databases, directly from any applications that support ODBC connectivity.

Access Elasticsearch like you would a database - read, write, and update through a standard ODBC Driver interface.

Query Elasticsearch Data as a MySQL Database in Node.js



Execute MySQL queries against Elasticsearch data from Node.js.

You can use the SQL Gateway from the ODBC Driver for Elasticsearch to query Elasticsearch 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 Elasticsearch 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.

Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Elasticsearch 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.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Query Elasticsearch from Node.js

The following example shows how to define a connection and execute queries to Elasticsearch 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 Elasticsearch data and start executing queries with the code below:

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

connection.end();