Use JayDeBeApi to access Presto Data in Python

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.

Getting Started

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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.

👁 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: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.