Access Amazon S3 Data in Mule Applications Using the CData JDBC Driver

The CData JDBC Driver for Amazon S3 connects Amazon S3 data to Mule applications enabling read functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze Amazon S3 data.

This article demonstrates how to use the CData JDBC Driver for Amazon S3 inside of a Mule project to create a Web interface for Amazon S3 data. The application created allows you to request Amazon S3 data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the 200+ available data sources.

1. Create a new Mule Project in Anypoint Studio.
2. Add an HTTP Connector to the Message Flow.
3. Configure the address for the HTTP Connector.
4. Add a Database Select Connector to the same flow, after the HTTP Connector.
5. Create a new Connection (or edit an existing one) and configure the properties.
   • Set Connection to "Generic Connection"
   • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.amazons3.jar).
   • Set the URL to the connection string for Amazon S3

     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.

   • Set the Driver class name to cdata.jdbc.amazons3.AmazonS3Driver.
   • Click Test Connection.
6. Set the SQL Query Text to a SQL query to request Amazon S3 data. For example: SELECT Name, OwnerId FROM ObjectsACL WHERE Name = 'TestBucket'
7. Add a Transform Message Component to the flow.
8. Set the Output script to the following to convert the payload to JSON:

   %dw 2.0
   output application/json
   ---
   payload
           

9. To view your Amazon S3 data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The Amazon S3 data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with Amazon S3 data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for Amazon S3 and see the CData difference in your Mule Applications today.