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Rapidly create and deploy powerful Java applications that integrate with Sybase databases.

Connect to Sybase Data in NetBeans



Connect to Sybase data in NetBeans with the data source configuration wizard.

The CData JDBC Driver for Sybase integrates connectivity to live Sybase 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 Sybase data in NetBeans. You will create a connection and edit and save Sybase data in the Table Editor.

Create a JDBC Data Source for Sybase 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.sybase.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.sybase.SybaseDriver 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 Sybase.
    • 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.

      To connect to Sybase, specify the following connection properties:

      • Server: Set this to the name or network address of the Sybase database instance.
      • Database: Set this to the name of the Sybase database running on the specified Server.

      Optionally, you can also secure your connections with TLS/SSL by setting UseSSL to true.

      Sybase supports several methods for authentication including Password and Kerberos.

      Connect Using Password Authentication

      Set the AuthScheme to Password and set the following connection properties to use Sybase authentication.

      • User: Set this to the username of the authenticating Sybase user.
      • Password: Set this to the username of the authenticating Sybase user.

      Connect using LDAP Authentication

      To connect with LDAP authentication, you will need to configure Sybase server-side to use the LDAP authentication mechanism.

      After configuring Sybase for LDAP, you can connect using the same credentials as Password authentication.

      Connect Using Kerberos Authentication

      To leverage Kerberos authentication, begin by enabling it setting AuthScheme to Kerberos.

    See the Using Kerberos section in the Help documentation for more information on using Kerberos authentication.

    You can find an example connection string below: Server=MyServer;Port=MyPort;User=SampleUser;Password=SamplePassword;Database=MyDB;Kerberos=true;KerberosKDC=MyKDC;KerberosRealm=MYREALM.COM;KerberosSPN=server-name

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.sybase.jar

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

    A typical JDBC URL is the following:

    jdbc:sybase:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;Charset=iso_1;

Query Sybase Data

To connect to Sybase 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.