Connect to Redshift Data in the Denodo Platform

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for Amazon Redshift, Denodo users can work with live Redshift data alongside other enterprise data sources. This article walks through creating a virtual data source for Redshift in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Redshift data. When you issue complex SQL queries to Redshift, the driver pushes supported SQL operations, like filters and aggregations, directly to Redshift and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Redshift data using native data types.

Create the Redshift Virtual Port

To connect to live Redshift data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

1. Download the CData JDBC Driver for Amazon Redshift installer, unzip the package, and run the JAR file to install the driver.
2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Amazon Redshift\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-redshift-19).
3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
4. Right-click "admin" and select New -> Data source -> JDBC.
5. Configure the JDBC Connection:
   • Name: your choice, e.g.: redshift
   • Database adapter: Generic
   • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-redshift-19
   • Driver class: cdata.jdbc.redshift.RedshiftDriver

   • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

     jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439;

     Information on creating the Database URI follows:

     Built-In Connection String Designer

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

     java -jar cdata.jdbc.redshift.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     To connect to Redshift, set the following:

     • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
     • Port: Set this to the port of the cluster.
     • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
     • User: Set this to the username you want to use to authenticate to the Server.
     • Password: Set this to the password you want to use to authenticate to the Server.

     You can obtain the Server and Port values in the AWS Management Console:

     1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
     2. On the Clusters page, click the name of the cluster.
     3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.
6. Click the "Test connection" button to confirm the configuration and click Save.

View Redshift Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of Redshift data for use in the Denodo Platform.

1. Click the "Create base view" button in the newly created VirtualPort (admin.Redshift).
2. Expand the object tree and select the objects (tables) you wish to import.
3. Click the "Create selected" button to create views of the Redshift data.
   Optional: Click "Create associations from foreign keys" to define relationships between the objects.
4. With the view(s) created, navigate to a table (cdata_redshift_orders) in the Server Explorer and double-click the selected table.
5. In the new tab, click "Execution panel" to open a query panel.
6. Customize the query in the "Execute" tab or use the default:

   SELECT * FROM cdata_redshift_orders CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
   

7. Click Execute to view the data.

With the base view created, you can now work with live Redshift data like you would any other data source in Denodo Platform, for example, querying Redshift in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for Amazon Redshift and start working with your live Redshift data in Denodo Platform. Reach out to our Support Team if you have any questions.