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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.
Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:
Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.
For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.
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.
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)
The following example shows how to define a connection and execute queries to Elasticsearch with the mysql module. You will need the following information:
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();
Download a free trial of the Elasticsearch ODBC Driver to get started:
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👁 Elasticsearch IconThe 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.