tencent cloud

## Configure the accessed network by copying the information in the **Network** column in the **Access Mode** section on the instance details** page in the console.
bootstrap.servers=xx.xx.xx.xx:xxxx
## Configure the topic by copying the information on the **Topic Management** page in the console
topic=XXX
## Configure the consumer group as needed
group.id=XXX

public class CKafkaProducerDemo {

    public static void main(String args[]) {
        //Load `kafka.properties`
        Properties kafkaProperties = CKafkaConfigurer.getCKafkaProperties();

        Properties properties = new Properties();
        //Set the access point. Obtain the access point of the corresponding topic via the console
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaProperties.getProperty("bootstrap.servers"));

        //Set the method for serializing Kafka messages. `StringSerializer` is used in this demo.
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,
                "org.apache.kafka.common.serialization.StringSerializer");
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,
                "org.apache.kafka.common.serialization.StringSerializer");
        //Set the maximum time to wait for a request
        properties.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, 30 * 1000);
        //Set the number of retries for the client
        properties.put(ProducerConfig.RETRIES_CONFIG, 5);
        //Set the interval between retries for the client
        properties.put(ProducerConfig.RECONNECT_BACKOFF_MS_CONFIG, 3000);
        //Construct a producer object
        KafkaProducer<String, String> producer = new KafkaProducer<>(properties);

        //Construct a Kafka message
        String topic = kafkaProperties.getProperty("topic"); //Topic of the message. Enter the topic you created in the console
        String value = "this is ckafka msg value"; //Message content.

        try {
            //Batch obtaining future objects can speed up the process, but the batch size should not be too large.
            List<Future<RecordMetadata>> futureList = new ArrayList<>(128);
            for (int i = 0; i < 10; i++) {
                //Send the message and obtain a future object
                ProducerRecord<String, String> kafkaMsg = new ProducerRecord<>(topic,
                        value + ": " + i);
                Future<RecordMetadata> metadataFuture = producer.send(kafkaMsg);
                futureList.add(metadataFuture);

            }
            producer.flush();
            for (Future<RecordMetadata> future : futureList) {
                //Sync the future object obtained
                RecordMetadata recordMetadata = future.get();
                System.out.println("produce send ok: " + recordMetadata.toString());
            }
        } catch (Exception e){
            //If the sending still fails after client internal retries, the system needs to report and handle the error
            System.out.println("error occurred");
        }
    }
}

Produce ok:ckafka-topic-demo-0@198
Produce ok:ckafka-topic-demo-0@199

public class CKafkaConsumerDemo {

    public static void main(String args[]) {
        //Load `kafka.properties`
        Properties kafkaProperties = CKafkaConfigurer.getCKafkaProperties();

        Properties props = new Properties();
        //Set the access point. Obtain the access point of the topic via the console.
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaProperties.getProperty("bootstrap.servers"));
        //Set the maximum interval between two polls
        //If the consumer does not return a heartbeat message within the interval, the broker determines that the consumer is not alive. the broker removes the consumer from the consumer group and triggers rebalancing. The default value is 30s.
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 30000);
        //Set the maximum number of messages that can be polled at a time
        //Do not set this parameter to an excessively large value. If polled messages are not consumed before the next poll, load balancing is triggered and lagging occurs.
        props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 30);
        //Set the method for deserializing messages
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG,
                "org.apache.kafka.common.serialization.StringDeserializer");
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,
                "org.apache.kafka.common.serialization.StringDeserializer");
        //The instances in the same consumer group consume messages in load balancing mode
        props.put(ConsumerConfig.GROUP_ID_CONFIG, kafkaProperties.getProperty("group.id"));
        //Construct a consumer object. This generates a consumer instance
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
        //Set one or more topics to which the consumer group subscribes
        //You are advised to configure consumer instances with the same `GROUP_ID_CONFIG` value to subscribe to the same topics
        List<String> subscribedTopics = new ArrayList<>();
        //If you want to subscribe to multiple topics, add the topics here
        //You must create the topics in the console in advance.
        String topicStr = kafkaProperties.getProperty("topic");
        String[] topics = topicStr.split(",");
        for (String topic : topics) {
            subscribedTopics.add(topic.trim());
        }
        consumer.subscribe(subscribedTopics);

        //Consume messages in loop
        while (true){
            try {
                ConsumerRecords<String, String> records = consumer.poll(1000);
                //All messages must be consumed before the next poll, and the total duration cannot exceed the timeout interval specified by `SESSION_TIMEOUT_MS_CONFIG`
                //You are advised to create a separate thread to consume messages and then return the result in async mode
                for (ConsumerRecord<String, String> record : records) {
                    System.out.println(
                            String.format("Consume partition:%d offset:%d", record.partition(), record.offset()));
                }
            } catch (Exception e){
                System.out.println("consumer error!");
            }
        }
    }
}

Consume partition:0 offset:298
Consume partition:0 offset:299