使用kafka-clients操作数据(java)

一、添加依赖

     <!--    kafka-clients-->
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>3.5.1</version>
        </dependency>

二、生产者

自定义分区，可忽略文章来源地址https://www.toymoban.com/news/detail-615966.html

import org.apache.kafka.clients.producer.Partitioner;
import org.apache.kafka.common.Cluster;

import java.util.Map;

public class MyPatitioner implements Partitioner {
    @Override
    public int partition(String topic, Object key, byte[] keyBytes, Object value, byte[] valueBytes, Cluster cluster) {

        String msgStr = value.toString();
        if(msgStr.contains("a")){
            return 1;
        }
        return 0;
    }

    @Override
    public void close() {

    }

    @Override
    public void configure(Map<String, ?> configs) {

    }
}

1、普通消息

 public static void main(String[] args) throws ExecutionException, InterruptedException {
        //配置
        Properties properties = new Properties();
        //连接参数
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.157.130:9092");
        //序列化
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        //关联自定义分区器 可选
        properties.put(ProducerConfig.PARTITIONER_CLASS_CONFIG, "org.minos.kafka.producer.MyPatitioner");

        //优化参数 可选
        //缓冲器大小 32M
        properties.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 30 * 1024 * 1024);
        //批次大小
        properties.put(ProducerConfig.BATCH_SIZE_CONFIG, 16 * 1024);
        //Linger.ms
        properties.put(ProducerConfig.LINGER_MS_CONFIG, 5);
        //压缩
        properties.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "snappy");
        //acks
        properties.put(ProducerConfig.ACKS_CONFIG, "-1");
        //重试次数
        properties.put(ProducerConfig.RETRIES_CONFIG, 3);


        //创建生产者
        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(properties);

        //异步发送数据
        for (int i = 0; i < 10; i++) {
            //给first主题发消息
            kafkaProducer.send(new ProducerRecord<String, String>("first", "hello" + i));
            //回调异步发送
            kafkaProducer.send(new ProducerRecord<String, String>("first", "hello2" + i), new Callback() {
                @Override
                public void onCompletion(RecordMetadata recordMetadata, Exception e) {
                    if (e == null) {
                        System.out.println("主题：" + recordMetadata.topic() + "分区:" + recordMetadata.partition());
                    }
                }
            });
            kafkaProducer.send(new ProducerRecord<String, String>("first", "a" + i), new Callback() {
                @Override
                public void onCompletion(RecordMetadata recordMetadata, Exception e) {
                    if (e == null) {
                        System.out.println("主题：" + recordMetadata.topic() + "分区" + recordMetadata.partition() + "a");
                    }
                }
            });
            Thread.sleep(500);
        }

        //同步
        for (int i = 0; i < 10; i++) {
            //给first主题发消息
            kafkaProducer.send(new ProducerRecord<String, String>("first", "sync_hello" + i)).get();
        }

        //关闭资源
        kafkaProducer.close();
    }

root@ubuntu2203:/usr/local/kafka_2.12-3.5.1/bin# ./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic first
a0
hello0
hello20
a1
hello1
hello21
a2
hello2
hello22
a3
hello3
hello23
a4
hello4
hello24
a5
hello5
hello25
a6
hello6
hello26
a7
hello7
hello27
a8
hello8
hello28
a9
hello9
hello29
sync_hello0
sync_hello1
sync_hello2
sync_hello3
sync_hello4
sync_hello5
sync_hello6
sync_hello7
sync_hello8
sync_hello9

2、事务消息

 public static void main(String[] args) throws ExecutionException, InterruptedException {
        //配置
        Properties properties = new Properties();
        //连接参数
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.157.130:9092");
        //序列化
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        //关联自定义分区器 可选
        properties.put(ProducerConfig.PARTITIONER_CLASS_CONFIG, "org.minos.kafka.producer.MyPatitioner");

        //优化参数 可选
        //缓冲器大小 32M
        properties.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 30 * 1024 * 1024);
        //批次大小
        properties.put(ProducerConfig.BATCH_SIZE_CONFIG, 16 * 1024);
        //Linger.ms
        properties.put(ProducerConfig.LINGER_MS_CONFIG, 5);
        //压缩
        properties.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "snappy");
        //acks
        properties.put(ProducerConfig.ACKS_CONFIG, "-1");
        //重试次数
        properties.put(ProducerConfig.RETRIES_CONFIG, 3);

        //指定事务ID
        properties.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG,"transactional_id_01");
        properties.put("enable.idempotence", "true");

        //创建生产者
        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(properties);

        //事务消息 初始化
        kafkaProducer.initTransactions();
        //开始事务
        kafkaProducer.beginTransaction();
        try {
            kafkaProducer.send(new ProducerRecord<String, String>("first", "Transactions")).get();
            //提交事务
            kafkaProducer.commitTransaction();
        } catch (Exception e) {
            //终止事务
            kafkaProducer.abortTransaction();
        } finally {
            //关闭资源
            kafkaProducer.close();
        }
    }

root@ubuntu2203:/usr/local/kafka_2.12-3.5.1/bin# ./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic first
Transactions

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