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Execute MySQL queries against MongoDB data from Node.js.
You can use the SQL Gateway from the ODBC Driver for MongoDB to query MongoDB 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.
About MongoDB Data Integration
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
- Access data from MongoDB 2.6 and above, ensuring broad usability across various MongoDB versions.
- Easily manage unstructured data thanks to flexible NoSQL (learn more here: Leading-Edge Drivers for NoSQL Integration).
- Leverage feature advantages over other NoSQL drivers and realize functional benefits when working with MongoDB data (learn more here: A Feature Comparison of Drivers for NoSQL).
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Getting Started
Connect to MongoDB 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, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
Configure the SQL Gateway
See the SQL Gateway Overview to set up connectivity to MongoDB 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 MongoDB from Node.js
The following example shows how to define a connection and execute queries to MongoDB 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 MongoDB data and start executing queries with the code below:
var mysql = require('mysql'); var connection = mysql.createConnection({ host : 'localhost', database : 'CData MongoDB Sys', port : '3306', user : 'mysql_user', password : 'test' }); connection.connect(); connection.query('SELECT * FROM restaurants', function(err, rows, fields) { if (err) throw err; console.log(rows); }); connection.end();