Use Kevoree :: API framework to achieve asynchronous communication in the Java library
Use Kevoree :: API framework to achieve asynchronous communication in the Java library
Kevoree is an open source, component -based and model -driven software architecture. It provides a flexible and scalable framework to build a distributed application.Kevoree :: API is one of the core components of the Kevoree architecture. It provides developers with a set of rich APIs to achieve asynchronous communication.
Asynchronous communication is a way to deal with messages, where the sender and the receiver do not need to process the message immediately.Instead, the sender passed the message to the receiver and immediately continues to perform other operations, and the receiver handles the message at the appropriate time.This communication mode is essential for building a reliable and efficient distributed application.
The following is an example that shows how to use Kevoree :: API framework in the Java class library to achieve asynchronous communication:
import org.kevoree.api.Callback;
import org.kevoree.api.KevoreeXmiHelper;
import org.kevoree.api.ModelService;
import org.kevoree.api.handler.ModelListener;
import org.kevoree.modeling.api.KMFContainer;
import org.kevoree.modeling.api.JsonModelLoader;
import org.kevoree.modeling.api.json.JSONSerializer;
import java.util.HashMap;
import java.util.Map;
public class AsyncCommunicationExample {
public static void main(String[] args) {
// Create a Kevoree model service example
ModelService modelService = new ModelService();
// Load the Kevoree model
String model = "{\"nodes\":[],\"groups\":[],\"repositories\":[],\"hubs\":[]}";
KMFContainer kmfContainer = JsonModelLoader.instance().loadModelFromString(model);
modelService.universe().time(modelService.universe().createInferContext()).root().createTraces(kmfContainer);
Map<String, Object> options = new HashMap<>();
options.put("prefix", "sync");
// Start the Kevoree instance, the monitoring model changes
modelService.addListener(new ModelListener() {
@Override
public void elementChanged(KMFContainer kmfContainer, Object o) {
System.out.println("Model changed: " + KevoreeXmiHelper.saveToString(kmfContainer));
}
});
// Processing the callback of asynchronous communication
Callback<Object> callback = new Callback<Object>() {
@Override
public void onSuccess(Object o) {
System.out.println("Callback success: " + o.toString());
}
@Override
public void onError(Throwable throwable) {
System.out.println("Callback error: " + throwable.getMessage());
}
};
// Asynchronously send messages
String message = "Hello, Kevoree!";
String targetNodeName = "node0";
modelService.remote().asyncSend(targetNodeName, "sync", message, options, callback);
// Add a delay to wait for the asynchronous news to arrive
try {
Thread.sleep(2000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
In the above example, we first use Kevoree :: API to load an empty Kevoree model and add a monitor to monitor the changes in the model.We then define a callback function that processs asynchronous communication, which will be called when the asynchronous operation is successful or failed.Next, we use the method of `ModelService.remote (). Asyncsend ()` method to send asynchronous news to the target node.This method requires the name, message content, options and callback functions of the target node.Finally, we added a delay to wait for the asynchronous news to reach and output the result.
By using Kevoree :: API framework, we can more conveniently implement asynchronous communication in distributed applications, thereby improving the reliability and execution efficiency of the application.
