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Access XML 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 XML and the JayDeBeApi module to work with remote XML 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 XML and visualize XML data with standard Python.
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 XML data in Python using SQL.
CData Drivers let you work with XML files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.
Set the URI property to local folder path.
To connect to XML file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended XML files exist. In addition, at least set these properties:
To connect to XML file(s) within Box, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Box.
To connect to XML file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.
To connect to XML file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. Set User, Password, and StorageBaseURL.
To connect to XML file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended XML file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.
To connect to XML file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended XML file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.
The property is the controlling property over how your data is represented into tables and toggles the following basic configurations.
See the Modeling XML Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.
For assistance in constructing the JDBC URL, use the connection string designer built into the XML JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.xml.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:xml:URI=C:/people.xml;DataModel=Relational;"
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.xml.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 XML:
import jaydebeapi
#The JDBC connection string
jdbc_url = "jdbc:xml:URI=C:/people.xml;DataModel=Relational;"
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.xml.jar"
conn = jaydebeapi.connect(
"cdata.jdbc.xml.XMLDriver",
jdbc_url,
[username, password],
jdbc_driver_jar,
)
cursor = conn.cursor()
cursor.execute("SELECT * FROM people;")
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 XML and start working with your live XML data in Python. Reach out to our Support Team if you have any questions.
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