apache heron中的kafka集成

qrjkbowd  于 2021-06-06  发布在  Kafka
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我试图把Kafka和苍鹭的拓扑结构结合起来。但是,我找不到任何使用最新版本heron(0.17.5)的示例。关于如何实现自定义Kafka喷口和Kafka插销,有什么可以分享的例子或建议吗?
编辑1:
我相信kafkaspout和kafkabolt在heron中被故意弃用,让位于新的streamlet api。我现在想看看是否可以使用streamlet api构建kafkasource和kafkasink。然而,当我试图在源代码中创建一个kafkaconsumer时,我得到了下面的异常。

Caused by: java.io.NotSerializableException: org.apache.kafka.clients.consumer.KafkaConsumer
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1184)
at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548)
at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509)
at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432)
at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178)
at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at com.twitter.heron.api.utils.Utils.serialize(Utils.java:97)

编辑2:
修复了上述问题。我正在初始化 KafkaConsumer 在构造函数中,这是错误的。在中初始化相同的 setup() 方法修复了它。

j13ufse2

j13ufse21#

我使用streamletapi为heron实现了这一点。我在这里贴同样的。希望它能帮助其他面临同样问题的人。
Kafka来源

public class KafkaSource implements Source {

    private String streamName;

    private Consumer<String, String> kafkaConsumer;
    private List<String> kafkaTopic;

    private static final Logger LOGGER = Logger.getLogger("KafkaSource");

    @Override
    public void setup(Context context) {

        this.streamName = context.getStreamName();

        kafkaTopic = Arrays.asList(KafkaProperties.KAFKA_TOPIC);

        Properties props = new Properties();
        props.put("bootstrap.servers", KafkaProperties.BOOTSTRAP_SERVERS);
        props.put("group.id", KafkaProperties.CONSUMER_GROUP_ID);
        props.put("enable.auto.commit", KafkaProperties.ENABLE_AUTO_COMMIT);
        props.put("auto.commit.interval.ms", KafkaProperties.AUTO_COMMIT_INTERVAL_MS);
        props.put("session.timeout.ms", KafkaProperties.SESSION_TIMEOUT);
        props.put("key.deserializer", KafkaProperties.KEY_DESERIALIZER);
        props.put("value.deserializer", KafkaProperties.VALUE_DESERIALIZER);
        props.put("auto.offset.reset", KafkaProperties.AUTO_OFFSET_RESET);
        props.put("max.poll.records", KafkaProperties.MAX_POLL_RECORDS);
        props.put("max.poll.interval.ms", KafkaProperties.MAX_POLL_INTERVAL_MS);

        this.kafkaConsumer = new KafkaConsumer<>(props);

        kafkaConsumer.subscribe(kafkaTopic);
    }

    @Override
    public Collection get() {

        List<String> kafkaRecords = new ArrayList<>();

        ConsumerRecords<String, String> records = kafkaConsumer.poll(Long.MAX_VALUE);

        for (ConsumerRecord<String, String> record : records) {
            String rVal = record.value();
            kafkaRecords.add(rVal);
        }

        return kafkaRecords;
    }

    @Override
    public void cleanup() {
        kafkaConsumer.wakeup();
    }
}

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