Connect to MySQL Data in NetBeans

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

Create a JDBC Data Source for MySQL 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.mysql.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.mysql.MySQLDriver 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 MySQL.
   • 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 CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.

     SSH Connectivity for MySQL

     You can use SSH (Secure Shell) to authenticate with MySQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

     SSH Connections to MySQL in Password Auth Mode

     To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

     • User: MySQL User name
     • Password: MySQL Password
     • Database: MySQL database name
     • Server: MySQL Server name
     • Port: MySQL port number like 3306
     • UserSSH: "true"
     • SSHAuthMode: "Password"
     • SSHPort: SSH Port number
     • SSHServer: SSH Server name
     • SSHUser: SSH User name
     • SSHPassword: SSH Password

     SSH Connections to MySQL in Public Key Auth Mode

     To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

     • User: MySQL User name
     • Password: MySQL Password
     • Database: MySQL database name
     • Server: MySQL Server name
     • Port: MySQL port number like 3306
     • UserSSH: "true"
     • SSHAuthMode: "Public_Key"
     • SSHPort: SSH Port number
     • SSHServer: SSH Server name
     • SSHUser: SSH User name
     • SSHClientCret: the path for the public key certificate file

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.mysql.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:mysql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;

Query MySQL Data

To connect to MySQL 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.