Connect to Amazon S3 Data in CloverDX (formerly CloverETL)

The CData JDBC Driver for Amazon S3 enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Amazon S3 as sources. In this article, you will use the JDBC Driver for Amazon S3 to set up a simple transfer into a flat file. The CData JDBC Driver for Amazon S3 enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Amazon S3 as sources. In this article, you will use the JDBC Driver for Amazon S3 to set up a simple transfer into a flat file.

Connect to Amazon S3 as a JDBC Data Source

1. Create the connection to Amazon S3 data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.amazons3.jar file.
3. Enter 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.

   A typical JDBC URL is below:

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

Query Amazon S3 Data with the DBInputTable Component

1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
2. In the DB connection property, select the Amazon S3 JDBC data source from the drop-down menu.
3. Enter the SQL query. For example: SELECT Name, OwnerId FROM ObjectsACL WHERE Name = 'TestBucket'

Write the Output of the Query to a UniversalDataWriter

1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
3. Right-click the DBInputTable and then click Extract Metadata.
4. Connect the output port of the DBInputTable to the UniversalDataWriter.
5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the ObjectsACL table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
6. Click Run to write to the file.