Apache Hudi is an open-source data management framework designed to simplify incremental data processing and improve data quality in big data environments. It provides data ingestion, incremental processing, and query capabilities on top of existing storage systems like Apache Hadoop, Apache Spark, and cloud storage services.

Java RMI (Remote Method Invocation) is a Java API that allows an object running in one Java virtual machine to invoke methods on an object running in another Java virtual machine. It provides a simple and powerful way to build distributed applications.

In this blog post, we will explore how to integrate Java RMI with Apache Hudi to utilize the power of both technologies.

Prerequisites

• Basic understanding of Java programming language
• Familiarity with Apache Hudi and its concepts
• Apache Hudi and Java Development Kit (JDK) installed on your system

Step 1: Set up the RMI server

First, let’s set up the RMI server. Create a new Java class RMIServer and implement the server logic. Here’s an example:

import java.rmi.Remote;
import java.rmi.RemoteException;
import java.rmi.registry.LocateRegistry;
import java.rmi.registry.Registry;
import java.rmi.server.UnicastRemoteObject;

public class RMIServer implements Remote {
    public RMIServer() {
        super();
    }

    public String processData(String data) {
        // Process the data using Apache Hudi
        // TODO: Implement your Apache Hudi logic here
        return "Processed data: " + data;
    }

    public static void main(String[] args) {
        try {
            RMIServer obj = new RMIServer();
            RMIServerInterface stub = (RMIServerInterface) UnicastRemoteObject.exportObject(obj, 0);

            // Bind the stub to the RMI registry
            Registry registry = LocateRegistry.getRegistry();
            registry.bind("RMIServerInterface", stub);

            System.out.println("RMIServer bound");
        } catch (Exception e) {
            System.err.println("RMIServer exception:");
            e.printStackTrace();
        }
    }
}

Step 2: Set up the RMI client

Next, let’s set up the RMI client. Create a new Java class RMIClient and implement the client logic. Here’s an example:

import java.rmi.registry.LocateRegistry;
import java.rmi.registry.Registry;

public class RMIClient {
    private RMIClient() {
    }

    public static void main(String[] args) {
        try {
            // Get the remote object from the RMI registry
            Registry registry = LocateRegistry.getRegistry();
            RMIServerInterface stub = (RMIServerInterface) registry.lookup("RMIServerInterface");

            // Process data using the remote object
            String result = stub.processData("Sample data");

            System.out.println(result);
        } catch (Exception e) {
            System.err.println("RMIClient exception:");
            e.printStackTrace();
        }
    }
}

Step 3: Implement Apache Hudi logic

In the server class (RMIServer), inside the processData method, implement your Apache Hudi logic to process the data. You can use Apache Hudi’s APIs to ingest, process, and query the data in your desired way.

Step 4: Build and run the application

Build the project using your preferred build tool (e.g., Maven, Gradle) and run the RMI server and client applications using the respective main methods.

Conclusion

Integrating Java RMI with Apache Hudi allows you to leverage the distributed computing capabilities of RMI and the data management capabilities of Apache Hudi. By following the steps outlined in this blog post, you can set up a basic integration and start utilizing the power of both technologies in your applications.

#tech #ApacheHudi #JavaRMI