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Try them now for free →Use JayDeBeApi to access Presto Data in Python
Use standard Python scripting and the development environment of your choice to access live Presto data.
Access Presto 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 Presto and the JayDeBeApi module to work with remote Presto 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 Presto and visualize Presto data with standard Python.
About Presto Data Integration
Accessing and integrating live data from Trino and Presto SQL engines has never been easier with CData. Customers rely on CData connectivity to:
- Access data from Trino v345 and above (formerly PrestoSQL) and Presto v0.242 and above (formerly PrestoDB)
- Read and write access all of the data underlying your Trino or Presto instances
- Optimized query generation for maximum throughput.
Presto and Trino allow users to access a variety of underlying data sources through a single endpoint. When paired with CData connectivity, users get pure, SQL-92 access to their instances, allowing them to integrate business data with a data warehouse or easily access live data directly from their preferred tools, like Power BI and Tableau.
In many cases, CData's live connectivity surpasses the native import functionality available in tools. One customer was unable to effectively use Power BI due to the size of the datasets needed for reporting. When the company implemented the CData Power BI Connector for Presto they were able to generate reports in real-time using the DirectQuery connection mode.
Getting Started
Use the JayDeBeApi module
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
Create the JDBC URL
Once you have JayDeBeApi installed, you are ready to work with Presto data in Python using SQL.
Set the Server and Port connection properties to connect, in addition to any authentication properties that may be required.
To enable TLS/SSL, set UseSSL to true.
Authenticating with LDAP
In order to authenticate with LDAP, set the following connection properties:
- AuthScheme: Set this to LDAP.
- User: The username being authenticated with in LDAP.
- Password: The password associated with the User you are authenticating against LDAP with.
Authenticating with Kerberos
In order to authenticate with KERBEROS, set the following connection properties:
- AuthScheme: Set this to KERBEROS.
- KerberosKDC: The Kerberos Key Distribution Center (KDC) service used to authenticate the user.
- KerberosRealm: The Kerberos Realm used to authenticate the user with.
- KerberosSPN: The Service Principal Name for the Kerberos Domain Controller.
- KerberosKeytabFile: The Keytab file containing your pairs of Kerberos principals and encrypted keys.
- User: The user who is authenticating to Kerberos.
- Password: The password used to authenticate to Kerberos.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Presto JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.presto.jar
Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:
jdbc_url = "jdbc:presto:Server=127.0.0.1;Port=8080;"
Access Presto data in Python
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.presto.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 Presto:
import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:presto:Server=127.0.0.1;Port=8080;" 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.presto.jar" conn = jaydebeapi.connect( "cdata.jdbc.presto.PrestoDriver", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM Customer;") results = cursor.fetchall() for row in results: print(row) cursor.close() conn.close()
Free trial & more information
Download a free, 30-day trial of the CData JDBC Driver for Presto and start working with your live Presto data in Python. Reach out to our Support Team if you have any questions.