Manage Amazon S3 Data in DBArtisan as a JDBC Source

The CData JDBC Driver for Amazon S3 seamlessly integrates Amazon S3 data into database management tools like DBArtisan by enabling you to access Amazon S3 data as a database. This article shows how to create a JDBC source for Amazon S3 in DBArtisan. You can then edit data visually and execute standard SQL.

Integrate Amazon S3 Data into DBArtisan Projects

Follow the steps below to register Amazon S3 data as a database instance in your project:

1. In DBArtisan, click Data Source -> Register Datasource.
2. Select Generic JDBC.
3. Click Manage.
4. In the resulting dialog, click New. Enter a name for the driver and click Add. In the resulting dialog, navigate to the driver JAR. The driver JAR is located in the lib subfolder of the installation directory.
5. In the Connection URL box, enter credentials and other required connection properties in the JDBC URL.

   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 typical connection string:

   jdbc:amazons3:AccessKey=a123;SecretKey=s123;
6. Finish the wizard to connect to Amazon S3 data. Amazon S3 entities are displayed in the Datasource Explorer.

You can now work with Amazon S3 data as you work with any other database. See the driver help documentation for more information on the queries supported by the Amazon S3 API.