Connect to Greenplum Data in Aqua Data Studio



Access Greenplum data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.

The CData JDBC Driver for Greenplum integrates Greenplum data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Greenplum 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 Greenplum 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, Greenplum.
    • Driver Location: Click the Browse button and select the cdata.jdbc.greenplum.jar file, located in the lib subfolder of the installation directory.
    • Driver: Enter the Driver's class name, cdata.jdbc.greenplum.GreenplumDriver.
    • URL: Enter the JDBC URL, which starts with jdbc:greenplum: and is followed by a semicolon-separated list of connection properties.

      To connect to Greenplum, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the default database for the authenticate user is used.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.greenplum.jar

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

      A typical JDBC URL is below:

      jdbc:greenplum:User=user;Password=admin;Database=dbname;Server=127.0.0.1;Port=5432;

Query Greenplum Data

You can now query the tables exposed.

Ready to get started?

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