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Connect Java applications with the DynamoDB real-time NoSQL cloud database service. Use Amazon DynamoDB as the big data backend that powers your Java/J2EE applications.

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Use JayDeBeApi to access Amazon DynamoDB Data in Python


Use standard Python scripting and the development environment of your choice to access live Amazon DynamoDB data.

Access Amazon DynamoDB 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 DynamoDB and the JayDeBeApi module to work with remote Amazon DynamoDB 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 DynamoDB and visualize Amazon DynamoDB 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 DynamoDB data in Python using SQL.

The connection to Amazon DynamoDB is made using your AccessKey, SecretKey, and optionally your Domain and Region. Your AccessKey and SecretKey can be obtained on the security credentials page for your Amazon Web Services account. Your Region will be displayed in the upper left-hand corner when you are logged into DynamoDB.

Built-in Connection String Designer

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

java -jar cdata.jdbc.amazondynamodb.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:amazondynamodb:Access Key=xxx;Secret Key=xxx;Domain=amazonaws.com;Region=OREGON;"

Access Amazon DynamoDB 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.amazondynamodb.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 DynamoDB:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:amazondynamodb:Access Key=xxx;Secret Key=xxx;Domain=amazonaws.com;Region=OREGON;" 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.amazondynamodb.jar" conn = jaydebeapi.connect( "cdata.jdbc.amazondynamodb.jar", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM Lead;") 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 DynamoDB and start working with your live Amazon DynamoDB data in Python. Reach out to our Support Team if you have any questions.