使用confluent-oss-5.0.0-2.11我的Kafka生产者代码是

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");
    }

}
似乎生产者代码是正常的，能够看到在控制台上发送的消息。
Kafka消费代码是：

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());
        }
    }
}

}
我看不到Kafka消费端的消息（数据）。我还检查了合并的新主题及其未更新的偏移量计数/状态。似乎生产者代码有问题。任何指针都会有帮助。
同时下面的生产者代码正在工作，这里的pojo即用户是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");
    }

}
p、 我的要求是将从源kafka主题接收到的json数据以avro格式发送到目标kafka主题。首先，我使用avro4s从接收到的json数据推断avro模式，并将该模式注册到模式注册表。下一步是从接收到的json中提取数据并填充genericrecord示例，然后使用kafkaavroserializer将这个genericrecord示例发送给kafka主题。在用户端，我将使用kafkaavrodeserializer来反序列化接收到的avro数据。