Apache Avro IPC framework in the Java class library detailed
Apache Avro IPC is a sub -project in the Apache Avro project to build a high -performance, cross -language, and scalable communication framework between AVRO -based clients and servers.This framework provides a simple and powerful way to define and use cross -language communication protocols, and use binary codes and efficient data serialization to provide fast network communication.
The core concept of the Apache Avro IPC framework is the communication protocol and IPC (Inter-Process Communication) mechanism.The communication protocol defines the message format and operation of the exchange between the client and the server, and the IPC mechanism is responsible for handling the serialization, transmission, and derivativeization of the message.
In Avro IPC, the communication protocol is defined by Avro's schema.SCHEMA is a data structure definition language that describes the structure, type, and serialization method of data.By using SCHEMA, clients and servers can share message formats in different programming languages to achieve cross -language communication.
The following is an example that demonstrates how to use the Apache Avro IPC framework to achieve a simple client and server communication.
First of all, we need to define a Avro's SCHEMA to describe the communication protocol.Suppose our communication protocol is a simple calculator that supports additional operations.
{
"namespace": "com.example",
"protocol": "Calculator",
"types": [],
"messages": {
"add": {
"request": [{"name": "a", "type": "int"}, {"name": "b", "type": "int"}],
"response": "int"
}
}
}
We can then use AVRO tools to generate Java code and implement a server and client.
import org.apache.avro.AvroRemoteException;
import org.apache.avro.ipc.Server;
import org.apache.avro.ipc.SocketServer;
import org.apache.avro.ipc.Transceiver;
import org.apache.avro.ipc.NettyTransceiver;
import org.apache.avro.ipc.generic.GenericRequestor;
import org.apache.avro.ipc.generic.GenericResponder;
import org.apache.avro.Schema;
import org.apache.avro.util.Utf8;
public class CalculatorServer implements Calculator {
@Override
public int add(int a, int b) throws AvroRemoteException {
return a + b;
}
public static void main(String[] args) throws Exception {
Schema.Parser parser = new Schema.Parser();
Schema schema = parser.parse("{\"type\":\"record\",\"name\":\"Calculator\"," +
"\"fields\":[{\"name\":\"a\",\"type\":\"int\"}," +
"{\"name\":\"b\",\"type\":\"int\"}]}");
CalculatorServer server = new CalculatorServer();
Server server = new SocketServer(new GenericResponder(Calculator.class, server), new InetSocketAddress("localhost", 9090), schema);
server.start();
server.join();
}
}
public class CalculatorClient {
public static void main(String[] args) throws Exception {
Schema.Parser parser = new Schema.Parser();
Schema schema = parser.parse("{\"type\":\"record\",\"name\":\"Calculator\"," +
"\"fields\":[{\"name\":\"a\",\"type\":\"int\"}," +
"{\"name\":\"b\",\"type\":\"int\"}]}");
Transceiver transceiver = new NettyTransceiver(new InetSocketAddress("localhost", 9090));
Calculator calculator = GenericRequestor.getClient(Calculator.class, transceiver);
int result = calculator.add(2, 3);
System.out.println("Result: " + result);
transceiver.close();
}
}
In the above example, the `Calculatorserver` implements the` Calculator` interface, and use the `socketServer` as the IPC server.`CalcultorClient` uses the client of IPC through` nettytransceiver`, and send the additional method and obtain the results by calling the `ADD` method.
In summary, the Apache Avro IPC framework provides strong tools and mechanisms for cross -language and high -performance communications.By defining communication protocols and using Avro's binary coding and efficient data serialization, we can build scalable and reliable distributed systems.At the same time, Avro's rich language support and easy expansion characteristics also make developers more conveniently use this framework.
