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Access Microsoft Dataverse data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for Microsoft Dataverse and the JayDeBeApi module to work with remote Microsoft Dataverse data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to Microsoft Dataverse and visualize Microsoft Dataverse data with standard Python.
CData provides the easiest way to access and integrate live data from Microsoft Dataverse (formerly the Common Data Service). Customers use CData connectivity to:
CData customers use our Dataverse connectivity solutions for a variety of reasons, whether they're looking to replicate their data into a data warehouse (alongside other data sources)or analyze live Dataverse data from their preferred data tools inside the Microsoft ecosystem (Power BI, Excel, etc.) or with external tools (Tableau, Looker, etc.).
JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:
pip install JayDeBeApi
Once you have JayDeBeApi installed, you are ready to work with Microsoft Dataverse data in Python using SQL.
You can connect without setting any connection properties for your user credentials. Below are the minimum connection properties required to connect.
When you connect the Common Data Service OAuth endpoint opens in your default browser. Log in and grant permissions. The OAuth process completes automatically.
For assistance in constructing the JDBC URL, use the connection string designer built into the Microsoft Dataverse JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.cds.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample variable assignment, including a typical JDBC connection string:
jdbc_url = "jdbc:cds:OrganizationUrl=https://myaccount.crm.dynamics.com/;InitiateOAuth=GETANDREFRESH;"
With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.cds.jar" on Windows).
NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.
Use code similar to the follow to read and print data from Microsoft Dataverse:
import jaydebeapi
#The JDBC connection string
jdbc_url = "jdbc:cds:OrganizationUrl=https://myaccount.crm.dynamics.com/;InitiateOAuth=GETANDREFRESH;"
username = "****"
password = "****"
#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.cds.jar"
conn = jaydebeapi.connect(
"cdata.jdbc.cds.CDSDriver",
jdbc_url,
[username, password],
jdbc_driver_jar,
)
cursor = conn.cursor()
cursor.execute("SELECT * FROM Accounts;")
results = cursor.fetchall()
for row in results:
print(row)
cursor.close()
conn.close()
Download a free, 30-day trial of the CData JDBC Driver for Microsoft Dataverse and start working with your live Microsoft Dataverse data in Python. Reach out to our Support Team if you have any questions.
Download a free trial of the Microsoft Dataverse Driver to get started:
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