Use JayDeBeApi to access Amazon S3 Data in Python

Access Amazon S3 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 Amazon S3 and the JayDeBeApi module to work with remote Amazon S3 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 Amazon S3 and visualize Amazon S3 data with standard Python.

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 Amazon S3 data in Python using SQL.

To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon S3 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.amazons3.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:amazons3:AccessKey=a123;SecretKey=s123;"

Access Amazon S3 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.amazons3.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 Amazon S3:

import jaydebeapi

#The JDBC connection string
jdbc_url = "jdbc:amazons3:AccessKey=a123;SecretKey=s123;"

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.amazons3.jar"

conn = jaydebeapi.connect(
 "cdata.jdbc.amazons3.AmazonS3Driver",
 jdbc_url,
 [username, password],
 jdbc_driver_jar,
)

cursor = conn.cursor()
cursor.execute("SELECT * FROM ObjectsACL;")


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 Amazon S3 and start working with your live Amazon S3 data in Python. Reach out to our Support Team if you have any questions.