Connect to Redshift Data in Aqua Data Studio

The CData JDBC Driver for Redshift integrates Redshift data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Redshift data through the connection manager and execute queries.

Create a JDBC Data Source

You can use the connection manager to define connection properties and save them in a new JDBC data source. The Redshift data source can then be accessed from Aqua Data Studio tools.

1. In Aqua Data Studio, select Register Server from the Servers menu.
2. In the Register Server form, select the 'Generic - JDBC' connection.
3. Enter the following JDBC connection properties:
   • Name: Enter a name for the data source; for example, Redshift.
   • Driver Location: Click the Browse button and select the cdata.jdbc.redshift.jar file, located in the lib subfolder of the installation directory.
   • Driver: Enter the Driver's class name, cdata.jdbc.redshift.RedshiftDriver.

   • URL: Enter the JDBC URL, which starts with jdbc:redshift: and is followed by a semicolon-separated list of connection properties.

     To connect to Redshift, set the following:

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

     You can obtain the and 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.

     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.

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

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

   👁 The JDBC data source, defined by the JAR path, driver class, and JDBC URL. (QuickBooks is shown.)
   

Query Redshift Data

You can now query the tables exposed.