Integrate MySQL Data in Pentaho Data Integration

The CData JDBC Driver for MySQL enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to MySQL data as a JDBC data source and build jobs and transformations based on MySQL data in Pentaho Data Integration.

Configure to MySQL Connectivity

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.

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Below is a typical JDBC URL:

jdbc:mysql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;

Save your connection string for use in Pentaho Data Integration.

Connect to MySQL from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for MySQL

1. Click "General"
2. Set Connection name (e.g. MySQL Connection)
3. Set Connection type to "Generic database"
4. Set Access to "Native (JDBC)"
5. Set Custom connection URL to your MySQL connection string (e.g.
   

   jdbc:mysql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;

6. Set Custom driver class name to "cdata.jdbc.mysql.MySQLDriver" 👁 Configuring the JDBC Driver connection.
   
7. Test the connection and click "OK" to save. 👁 Saving the connection.
   

Create a Data Pipeline for MySQL

Once the connection to MySQL is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

1. Click "File" >> "New" >> "Transformation/job"
2. Drag a "Table input" object into the workflow panel and select your MySQL connection. 👁 Configuring the Table input object
   
3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views. 👁 Selecting data (QuickBooks Online is shown).
   
4. Select a table and optionally preview the data for verification. 👁 Previewing the data (QuickBooks Online is shown).
   

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

Free Trial & More Information

Download a free, 30-day trial of the CData JDBC Driver for MySQL and start working with your live MySQL data in Pentaho Data Integration today.