Connect to EnterpriseDB Data in NetBeans

The CData JDBC Driver for EnterpriseDB integrates connectivity to live EnterpriseDB data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to EnterpriseDB data in NetBeans. You will create a connection and edit and save EnterpriseDB data in the Table Editor.

Create a JDBC Data Source for EnterpriseDB in NetBeans

To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:

• Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.enterprisedb.jar file. The driver JAR is located in the lib subfolder of the installation directory.
• Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.enterprisedb.EnterpriseDBDriver from the menu.
• Name: Enter the name for the driver.

Define Connection Parameters

Follow the steps below to define required connection properties:

1. In the Service window, right-click the Database node and click New Connection.

2. In the New Connection Wizard, enter the following connection properties:

   • Driver Name: In the menu, select the CData JDBC Driver for EnterpriseDB.
   • User Name: Enter the username. This can also be defined in the JDBC URL.
   • Password: Enter the password. This can also be defined in the JDBC URL.

   • JDBC URL: Specify the JDBC URL.

     The following connection properties are required in order to connect to data.

     • Server: The host name or IP of the server hosting the EnterpriseDB database.
     • Port: The port of the server hosting the EnterpriseDB database.

     You can also optionally set the following:

     • Database: The default database to connect to when connecting to the EnterpriseDB Server. If this is not set, the user's default database will be used.

     Connect Using Standard Authentication

     To authenticate using standard authentication, set the following:

     • User: The user which will be used to authenticate with the EnterpriseDB server.
     • Password: The password which will be used to authenticate with the EnterpriseDB server.

     Connect Using SSL Authentication

     You can leverage SSL authentication to connect to EnterpriseDB data via a secure session. Configure the following connection properties to connect to data:

     • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
     • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
     • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
     • SSLClientCertType: The certificate type of the client store.
     • SSLServerCert: The certificate to be accepted from the server.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.enterprisedb.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 the following:

     jdbc:enterprisedb:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5444

Query EnterpriseDB Data

To connect to EnterpriseDB data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.

To load a table in the Data Views window, right-click the table and then click View Data. You can also insert, update, or delete records in the Data Views window.