使用confluent-oss-5.0.0-2.11 我的 Kafka Producer 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");
}
}
似乎生产者代码可以,并且可以在控制台上看到 已发送消息 。
Kafka Consumer 代码为:
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());
}
}
}
}
我无法在Kafka用户端看到消息(数据)。我也检查了 confluent_new 主题的偏移计数/状态,并且没有更新。似乎生产者代码有问题。 任何指针都会有所帮助。
同时下面的生产者代码正在工作,并且此处是POJO,即 User 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格式将接收到的JSON数据从源KAFKA主题发送到目标KAFKA主题。首先,我使用AVRO4S从接收到的JSON数据中推断出AVRO模式,并将该模式注册到SCHEMA REGISTRY。接下来是从接收到的JSON中提取数据并填充到GenericRecord实例中,然后使用KafkaAvroSerializer将此GenericRecord实例发送到Kafka主题。在消费者端,我将使用KafkaAvroDeserializer对接收到的AVRO数据进行反序列化。
答案 0 :(得分:1)
请尝试在第一个Producer中添加get()
producer.send(recordData).get();
答案 1 :(得分:1)
在寻找解决方案的过程中,我尝试了 Thread.sleep(1000),它解决了我的问题。我也尝试了 producer.send(record).get(),这也解决了这个问题。经过Documentation之后,我遇到了以下代码片段,它暗示了解决方案。
// 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();
}
这是解决此问题的最佳方法。