Which "message queue client" framework is compatible with multi -threaded programming compatibility in the Java class library
There are multiple message queue client frameworks compatible with multi -threaded programming in the Java library.This article will introduce several commonly used frameworks and its usage methods, and provide relevant Java code examples.
1. Apache Kafka
Apache Kafka is a high -performance, scalable distributed message queue system, which is commonly used to build real -time streaming data processing applications.KAFKA provides multi -threaded programming support that can achieve multiple consumer concurrent processing messages.
Example code:
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
public class KafkaConsumerThread implements Runnable {
private final Consumer<String, String> consumer;
private final String topic;
public KafkaConsumerThread(String brokers, String groupId, String topic) {
Properties props = new Properties();
props.put("bootstrap.servers", brokers);
props.put("group.id", groupId);
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
this.consumer = new KafkaConsumer<>(props);
this.topic = topic;
}
@Override
public void run() {
consumer.subscribe(Collections.singletonList(topic));
try {
while (true) {
ConsumerRecords<String, String> records = consumer.poll(Duration.ofSeconds(1));
for (ConsumerRecord<String, String> record : records) {
processRecord(record);
}
}
} finally {
consumer.close();
}
}
private void processRecord(ConsumerRecord<String, String> record) {
// The business logic of each message processing
System.out.println("Received message: " + record.value());
}
}
2. RabbitMQ
Rabbitmq is a powerful message middleware that supports various message transmission protocols.Rabbitmq provides multi -threaded programming support, which can consume messages at the same time in multiple threads.
Example code:
import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;
import com.rabbitmq.client.DeliverCallback;
public class RabbitMQConsumerThread implements Runnable {
private final String QUEUE_NAME;
public RabbitMQConsumerThread(String queueName) {
this.QUEUE_NAME = queueName;
}
@Override
public void run() {
try {
ConnectionFactory factory = new ConnectionFactory();
factory.setHost("localhost");
Connection connection = factory.newConnection();
Channel channel = connection.createChannel();
channel.queueDeclare(QUEUE_NAME, false, false, false, null);
DeliverCallback deliverCallback = (consumerTag, delivery) -> {
String message = new String(delivery.getBody(), StandardCharsets.UTF_8);
processMessage(message);
};
channel.basicConsume(QUEUE_NAME, true, deliverCallback, consumerTag -> { });
while (true) {
// Business logic of consumer messages
}
} catch (IOException | TimeoutException e) {
e.printStackTrace();
}
}
private void processMessage(String message) {
// The business logic of each message processing
System.out.println("Received message: " + message);
}
}
3. ActiveMQ
ActiveMQ is a popular open source message queue middleware that supports a variety of transmission protocols and message modes.ActiveMQ provides multi -threaded message consumption capabilities, which can start multiple consumer thread processing at the same time.
Example code:
import org.apache.activemq.ActiveMQConnectionFactory;
import javax.jms.Connection;
import javax.jms.ConnectionFactory;
import javax.jms.Destination;
import javax.jms.Message;
import javax.jms.MessageConsumer;
import javax.jms.MessageListener;
import javax.jms.Session;
import javax.jms.TextMessage;
public class ActiveMQConsumerThread implements Runnable {
private final String brokerUrl;
private final String queueName;
public ActiveMQConsumerThread(String brokerUrl, String queueName) {
this.brokerUrl = brokerUrl;
this.queueName = queueName;
}
@Override
public void run() {
try {
ConnectionFactory connectionFactory = new ActiveMQConnectionFactory(brokerUrl);
Connection connection = connectionFactory.createConnection();
connection.start();
Session session = connection.createSession(false, Session.AUTO_ACKNOWLEDGE);
Destination destination = session.createQueue(queueName);
MessageConsumer consumer = session.createConsumer(destination);
consumer.setMessageListener(new MessageListener() {
@Override
public void onMessage(Message message) {
if (message instanceof TextMessage) {
try {
TextMessage textMessage = (TextMessage) message;
processMessage(textMessage.getText());
} catch (Exception e) {
e.printStackTrace();
}
}
}
});
while (true) {
// Business logic of consumer messages
}
} catch (Exception e) {
e.printStackTrace();
}
}
private void processMessage(String message) {
// The business logic of each message processing
System.out.println("Received message: " + message);
}
}
In summary, the above three message queue client frameworks (Apache Kafka, Rabbitmq, and ActiveMQ) all provide the function of compatibility with multi -threaded programming.By using these frameworks, developers can consume messages at the same time in multiple threads, and can use concurrent programming techniques to process messages to improve the throughput and performance of the system.
