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Using the CData ODBC Driver for MongoDB in PyCharm
Connect to MongoDB as an ODBC data source in PyCharm using the CData ODBC Driver for MongoDB.
The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for MongoDB from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for MongoDB as well as PyCharm.
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
Add Pyodbc to the Project
Follow the steps below to add the pyodbc module to your project.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.
Connect to MongoDB
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
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.
Below is the syntax for a DSN:
[CData MongoDB Source]
Driver = CData ODBC Driver for MongoDB
Description = My Description
Server = MyServer
Port = 27017
Database = test
User = test
Password = Password
Execute SQL to MongoDB
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for MongoDB};Server = MyServer;Port = 27017;Database = test;User = test;Password = Password;')
cursor = cnxn.cursor()
cursor.execute("SELECT borough, cuisine FROM restaurants WHERE Name = 'Morris Park Bake Shop'")
rows = cursor.fetchall()
for row in rows:
print(row.borough, row.cuisine)
After connecting to MongoDB in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to MongoDB data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.
Ready to get started?
Download a free trial of the MongoDB ODBC Driver to get started:
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MongoDB ODBC Driver
The MongoDB ODBC Driver is a powerful tool that allows you to connect with live MongoDB document databases, directly from any applications that support ODBC connectivity.
Access MongoDB like you would a database - read, write, and update through a standard ODBC Driver interface.
