無法以AVRO格式從Kafka Producer發送GenericRecord數據

Question

使用confluent-oss-5.0.0-2.11我的Kafka Producer代碼是

public class AvroProducer {
 public static void main(String[] args) throws ExecutionException, InterruptedException {

        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("ZOOKEEPER_HOST", "localhost");
        //props.put("acks", "all");
        props.put("retries", 0);
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "io.confluent.kafka.serializers.KafkaAvroSerializer");
        props.put("schema.registry.url", "http://localhost:8081");
        String topic = "confluent-new";

        Schema.Parser parser = new Schema.Parser();
// I will get below schema string from SCHEMA REGISTRY
        Schema schema = parser.parse("{\"type\":\"record\",\"name\":\"User\",\"fields\":[{\"name\":\"userName\",\"type\":\"string\"},{\"name\":\"uID\",\"type\":\"string\"},{\"name\":\"company\",\"type\":\"string\",\"default\":\"ABC\"},{\"name\":\"age\",\"type\":\"int\",\"default\":0},{\"name\":\"location\",\"type\":\"string\",\"default\":\"Noida\"}]}");

        Producer<String, GenericRecord> producer = new KafkaProducer<String, GenericRecord>(props);
        GenericRecord record = new GenericData.Record(schema);
        record.put("uID", "06080000");
        record.put("userName", "User data10");
        record.put("company", "User data10");
        record.put("age", 12);
        record.put("location", "User data10");

        ProducerRecord<String, GenericRecord> recordData = new ProducerRecord<String, GenericRecord>(topic, "ip", record);
        producer.send(recordData);

        System.out.println("Message Sent");
    }

}

似乎Producer代碼還可以，並且可以在控制台上看到Message Sent 。

卡夫卡消費者代碼為：

public class AvroConsumer {
public static void main(String[] args) throws ExecutionException, InterruptedException {

    Properties props = new Properties();
    props.put("bootstrap.servers", "localhost:9092");
    props.put("ZOOKEEPER_HOST", "localhost");
    props.put("acks", "all");
    props.put("retries", 0);
    props.put("group.id", "consumer1");
    props.put("auto.offset.reset", "latest");
    props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
    props.put("value.deserializer", "io.confluent.kafka.serializers.KafkaAvroDeserializer");
    props.put("schema.registry.url", "http://localhost:8081");
    String topic = "confluent-new";

    KafkaConsumer<String, GenericRecord> consumer = new KafkaConsumer<String, GenericRecord>(props);
    consumer.subscribe(Arrays.asList(topic));
    while(true){
        ConsumerRecords<String, GenericRecord> recs = consumer.poll(10000);
        for (ConsumerRecord<String, GenericRecord> rec : recs) {
            System.out.printf("{AvroUtilsConsumerUser}: Recieved [key= %s, value= %s]\n", rec.key(), rec.value());
        }
    }
}

}

我無法在Kafka用戶端看到消息（數據）。 我也檢查了confluent_new主題的偏移計數/狀態，並且沒有更新。 似乎生產者代碼有問題。 任何指針都會有所幫助。

同時，下面的生產者代碼正在工作，這里的POJO即用戶是avro工具生成的POJO。

public class AvroProducer {
 public static void main(String[] args) throws ExecutionException, InterruptedException {

        Properties props = new Properties();
        kafkaParams.put("auto.offset.reset", "smallest");
        kafkaParams.put("ZOOKEEPER_HOST", "bihdp01");*/
        props.put("bootstrap.servers", "localhost:9092");
        props.put("ZOOKEEPER_HOST", "localhost");
        props.put("acks", "all");
        props.put("retries", 0);
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "io.confluent.kafka.serializers.KafkaAvroSerializer");
        props.put("schema.registry.url", "http://localhost:8081");
        String topic = "confluent-new";

        Producer<String, User> producer = new KafkaProducer<String, User>(props);
        User user = new User();
        user.setUID("0908");
        user.setUserName("User data10");
        user.setCompany("HCL");
        user.setAge(20);
        user.setLocation("Noida");
        ProducerRecord<String, User> record = new ProducerRecord<String, User>(topic, (String) user.getUID(), user);
        producer.send(record).get();
        System.out.println("Sent");
    }

}

PS我的要求是以AVRO格式將接收到的JSON數據從源KAFKA主題發送到目標KAFKA主題。 首先，我使用AVRO4S從接收到的JSON數據中推斷出AVRO模式，並將該模式​​注冊到SCHEMA REGISTRY。 接下來是從接收到的JSON中提取數據並填充到GenericRecord實例中，然后使用KafkaAvroSerializer將此GenericRecord實例發送到Kafka主題。 在消費者端，我將使用KafkaAvroDeserializer反序列化接收到的AVRO數據。

Answer 1

請嘗試在第一個Producer中添加get（）

producer.send(recordData).get();

Answer 2

在尋找解決方案的過程中，我嘗試了Thread.sleep（1000）並解決了我的問題。 我也嘗試了producer.send（record）.get（） ，這也解決了這個問題。 閱讀完文檔后，我遇到了以下代碼片段，它提示了解決方案。

// When you're finished producing records, you can 
   flush the producer to ensure it has all been `written` to Kafka and
   // then close the producer to free its resources.

finally {
  producer.flush();
  producer.close();
  }

這是解決此問題的最佳方法。