Object-Relational Mapping (ORM) with Lakebase Data Entities in Java

You can use Hibernate to map object-oriented domain models to a traditional relational database. The tutorial below shows how to use the CData JDBC Driver for Lakebase to generate an ORM of your Lakebase repository with Hibernate.

Though Eclipse is the IDE of choice for this article, the CData JDBC Driver for Lakebase works in any product that supports the Java Runtime Environment. In the Knowledge Base you will find tutorials to connect to Lakebase data from IntelliJ IDEA and NetBeans.

Install Hibernate

Follow the steps below to install the Hibernate plug-in in Eclipse.

1. In Eclipse, navigate to Help -> Install New Software.
2. Enter "http://download.jboss.org/jbosstools/neon/stable/updates/" in the Work With box.
3. Enter "Hibernate" into the filter box.
4. Select Hibernate Tools.

Start A New Project

Follow the steps below to add the driver JARs in a new project.

1. Create a new project. Select Java Project as your project type and click Next. Enter a project name and click Finish.
2. Right-click the project and click Properties. Click Java Build Path and then open the Libraries tab.
3. Click Add External JARs to add the cdata.jdbc.lakebase.jar library, located in the lib subfolder of the installation directory.

Add a Hibernate Configuration File

Follow the steps below to configure connection properties to Lakebase data.

1. Right-click on the new project and select New -> Hibernate -> Hibernate Configuration File (cfg.xml).
2. Select src as the parent folder and click Next.

3. Input the following values:

   • Hibernate version:: 5.2
   • Database dialect: Derby
   • Driver class: cdata.jdbc.lakebase.LakebaseDriver

   • Connection URL: A JDBC URL, starting with jdbc:lakebase: and followed by a semicolon-separated list of connection properties.

     To connect to Databricks Lakebase, start by setting the following properties:
     • DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
     • Server: The host name or IP address of the server hosting the Lakebase database.
     • Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
     • Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

     OAuth Client Authentication

     To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

     1. Create and configure a new service principal
     2. Assign permissions to the service principal
     3. Create an OAuth secret for the service principal

     For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

     OAuth PKCE Authentication

     To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

     • AuthScheme: OAuthPKCE.
     • User: The authenticating user's user ID.

     For more information, refer to the Help documentation.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.lakebase.jar
     

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

     

     A typical JDBC URL is below:

     jdbc:lakebase:DatabricksInstance=lakebase;Server=127.0.0.1;Port=5432;Database=my_database;InitiateOAuth=GETANDREFRESH;

Connect Hibernate to Lakebase Data

Follow the steps below to select the configuration you created in the previous step.

1. Switch to the Hibernate Configurations perspective: Window -> Open Perspective -> Hibernate.
2. Right-click on the Hibernate Configurations panel and click Add Configuration.
3. Set the Hibernate version to 5.2.
4. Click the Browse button and select the project.
5. For the Configuration file field, click Setup -> Use Existing and select the location of the hibernate.cfg.xml file (inside src folder in this demo).
6. In the Classpath tab, if there is nothing under User Entries, click Add External JARS and add the driver jar once more. Click OK once the configuration is done.
7. Expand the Database node of the newly created Hibernate configurations file.

Reverse Engineer Lakebase Data

Follow the steps below to generate the reveng.xml configuration file. You will specify the tables you want to access as objects.

1. Switch back to the Package Explorer.
2. Right-click your project, select New -> Hibernate -> Hibernate Reverse Engineering File (reveng.xml). Click Next.
3. Select src as the parent folder and click Next.
4. In the Console configuration drop-down menu, select the Hibernate configuration file you created above and click Refresh.
5. Expand the node and choose the tables you want to reverse engineer. Click Finish when you are done.

Configure Hibernate to Run

Follow the steps below to generate plain old Java objects (POJO) for the Lakebase tables.

1. From the menu bar, click Run -> Hibernate Code Generation -> Hibernate Code Generation Configurations.
2. In the Console configuration drop-down menu, select the Hibernate configuration file you created in the previous section. Click Browse by Output directory and select src.
3. Enable the Reverse Engineer from JDBC Connection checkbox. Click the Setup button, click Use Existing, and select the location of the hibernate.reveng.xml file (inside src folder in this demo).
4. In the Exporters tab, check Domain code (.java) and Hibernate XML Mappings (hbm.xml).
5. Click Run.

One or more POJOs are created based on the reverse-engineering setting in the previous step.

Insert Mapping Tags

For each mapping you have generated, you will need to create a mapping tag in hibernate.cfg.xml to point Hibernate to your mapping resource. Open hibernate.cfg.xml and insert the mapping tags as so:

  
    
      cdata.lakebase.LakebaseDriver
    
    
      jdbc:lakebase:DatabricksInstance=lakebase;Server=127.0.0.1;Port=5432;Database=my_database;InitiateOAuth=GETANDREFRESH;
    
    
      org.hibernate.dialect.SQLServerDialect
    
    
     
    

Execute SQL

Using the entity you created from the last step, you can now search and modify Lakebase data:

import java.util.*;
import org.hibernate.Session;
import org.hibernate.cfg.Configuration;
import org.hibernate.query.Query;

public class App {
  public static void main(final String[] args) {
    Session session =  new
    Configuration().configure().buildSessionFactory().openSession();
    String SELECT = "FROM Orders O WHERE ShipCountry = :ShipCountry";
    Query q = session.createQuery(SELECT, Orders.class);
    q.setParameter("ShipCountry","USA");
    List<Orders> resultList = (List<Orders>) q.list();

    for(Orders s: resultList){
      System.out.println(s.getShipName());
      System.out.println(s.getShipCity());
    }
  }
}