Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Connect to PostgreSQL Data in Aqua Data Studio
Access PostgreSQL data from tools in Aqua Data Studio such as the Visual Query Builder and the Table Data Editor.
The CData JDBC Driver for PostgreSQL integrates PostgreSQL data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to PostgreSQL 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 PostgreSQL data source can then be accessed from Aqua Data Studio tools.
- In Aqua Data Studio, select Register Server from the Servers menu.
- In the Register Server form, select the 'Generic - JDBC' connection.
- Enter the following JDBC connection properties:
- Name: Enter a name for the data source; for example, PostgreSQL.
- Driver Location: Click the Browse button and select the cdata.jdbc.postgresql.jar file, located in the lib subfolder of the installation directory.
- Driver: Enter the Driver's class name, cdata.jdbc.postgresql.PostgreSQLDriver.
URL: Enter the JDBC URL, which starts with jdbc:postgresql: and is followed by a semicolon-separated list of connection properties.
To connect to PostgreSQL, 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 data provider connects to the user's default database.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the PostgreSQL JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.postgresql.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is below:jdbc:postgresql:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5432;
Query PostgreSQL Data
You can now query the tables exposed.