The best practice and performance optimization technique of RocketMQ Client 3.6.2.final framework (Best Practices and Performance Optimization Techniques for RocketMQ Client 3.6.2.final Framework)
The best practice and performance optimization technique of RocketMQ Client 3.6.2.final framework
RocketMQ is a distributed message transmission system with high throughput, reliability and scalability.When using RocketMQ Client 3.6.2.final framework, there are some best practices and performance optimization techniques to help us better use and use the framework.This article will introduce some key practices and skills, and provide Java code examples to better understand.
1. The asynchronous sending function provided by RocketMQ
The RocketMQ framework provides asynchronous message sending function, which can increase the throughput of message sending through this function.In the case of requiring high throughput but no need to wait for the message sending results to return, the asynchronous sending function can be used.Below is an example code sent asynchronous:
public class AsyncProducer {
public static void main(String[] args) throws MQClientException, InterruptedException {
DefaultMQProducer producer = new DefaultMQProducer("producer_group");
producer.setNamesrvAddr("localhost:9876");
// Start message producer
producer.start();
// Asynchronously send messages
for (int i = 0; i < 1000; i++) {
Message msg = new Message("topic", "tag", ("Hello RocketMQ " + i).getBytes());
producer.send(msg, new SendCallback() {
@Override
public void onSuccess(SendResult sendResult) {
System.out.println("Message send success. Result: " + sendResult);
}
@Override
public void onException(Throwable throwable) {
System.out.println("Message send failed. Exception: " + throwable);
}
});
}
// Close the message producer
producer.shutdown();
}
}
2. Optimize message sending
When you need to send a lot of messages, you can consider the batch sending function of the message, which can reduce network transmission overhead and increase the throughput of the sending.The following is a sample code that is sent in batches:
public class BatchProducer {
public static void main(String[] args) throws MQClientException, InterruptedException {
DefaultMQProducer producer = new DefaultMQProducer("producer_group");
producer.setNamesrvAddr("localhost:9876");
// Start message producer
producer.start();
// List of message to be sent to be sent
List<Message> messages = new ArrayList<>();
for (int i = 0; i < 1000; i++) {
Message msg = new Message("topic", "tag", ("Hello RocketMQ " + i).getBytes());
messages.add(msg);
}
// Batch send message
SendResult sendResult = producer.send(messages);
System.out.println("Batch Message send result: " + sendResult);
// Close the message producer
producer.shutdown();
}
}
3. Make full use of the message filtering function provided by RocketMQ
The RocketMQ framework provides the function of searching and filtering messages, which can be efficiently retrieved according to the information of the message, attributes and other information.When using a message filtering function, you can set the TAG or attributes of the message according to the specific needs, and use the message filtering method for monitoring and consumption.The following is an example code that uses message filtering function:
public class FilterConsumer {
public static void main(String[] args) throws MQClientException {
DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("consumer_group");
consumer.setNamesrvAddr("localhost:9876");
// Set message filter expression
consumer.subscribe("topic", MessageSelector.bySql("tag = 'important' AND amount > 100"));
// Register message monitor
consumer.registerMessageListener((MessageListenerConcurrently) (msgs, context) -> {
for (MessageExt msg : msgs) {
System.out.println("Receive message: " + new String(msg.getBody()));
}
return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
});
// Start message Consumers
consumer.start();
System.out.println("Consumer started.");
// Close message Consumers
Runtime.getRuntime().addShutdownHook(new Thread(() -> {
consumer.shutdown();
System.out.println("Consumer shutdown.");
}));
}
}
4. Avoid frequent creation and destroying message producers/consumer examples
The process of creation and destruction of RocketMQ producers and consumer instances is relatively heavy. Frequent creation and destruction instances will generate large expenses.In order to improve performance, we should create instances at the time of application and uniformly destroy the instance when the application is closed.You can use a singles mode or dependent injection framework to manage the life cycle of the instance.
Summary: By using the best practice and performance optimization techniques of RocketMQ Client 3.6.2.final framework, we can give full play to the advantages of the RocketMQ framework to improve the throughput and performance of the system.The example code provided above is for reference only. In practical applications, corresponding adjustments and optimizations are required according to specific needs.
