How to connect to Amazon S3 Data from IntelliJ

The CData JDBC Driver for Amazon S3 enables you to access Amazon S3 as a JDBC data source, providing integration with rapid development tools in IDEs. This article shows how to use the data source configuration wizard to connect to Amazon S3 data in IntelliJ.

Create a JBDC Data Source for Amazon S3

Follow the steps below to add the driver JAR and define connection properties required to connect to Amazon S3 data.

1. In the Data Sources window, right-click and then click Add Data Source -> DB Data Source.

2. In the Data Source Properties dialog that appears, the following properties are required:

   • JDBC Driver Files: Click the button next to this menu to add the JDBC Driver file cdata.jdbc.amazons3.jar, located in the installation directory.
   • JDBC Driver Class: In this menu, select cdata.jdbc.amazons3.AmazonS3Driver from the list.

   • Database URL: Enter the connection URL in the JDBC URL property. The URL must start with jdbc:amazons3: and includes connection properties separated with semicolons.

     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.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     

     A typical JDBC URL is the following:

     jdbc:amazons3:AccessKey=a123;SecretKey=s123;

Edit and Save Amazon S3 Data

To discover schema information, right-click the data source you just created and click Refresh Tables. To query a table, right-click it and then click Open Tables Editor.