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You can use the SQL Gateway from the ODBC Driver for Hive to query Hive 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.
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.
See the SQL Gateway Overview to set up connectivity to Hive 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 Hive with the mysql module. You will need the following information:
Connect to Hive data and start executing queries with the code below:
var mysql = require('mysql');
var connection = mysql.createConnection({
host : 'localhost',
database : 'CData ApacheHive Sys',
port : '3306',
user : 'mysql_user',
password : 'test'
});
connection.connect();
connection.query('SELECT * FROM Customers', function(err, rows, fields) {
if (err) throw err;
console.log(rows);
});
connection.end();
Download a free trial of the Apache Hive ODBC Driver to get started:
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👁 Apache Hive IconThe Hive ODBC Driver is a powerful tool that allows you to connect with Apache Hive, directly from any applications that support ODBC connectivity.
The Driver maps SQL to HiveQL, enabling direct standard SQL-92 access to Apache Hive.