风暴螺栓不打印/记录卡夫卡喷口

Question

编辑：我向Bolt添加了一个.ack（）（这要求我使用Rich Bolt而不是基本的Bolt），并且存在相同的问题-没有任何信息告诉我Tuple正在被处理。

如果有关系，我将在EC2实例上的CentOS映像上运行它。 任何帮助，将不胜感激。

---

---

我正在尝试建立一个非常基本的HelloWorld Storm示例，以从Kafka集群读取消息并打印/记录我收到的消息。

目前，我在Kafka集群中有20条消息。 当运行拓扑时（似乎开始就很好），我可以看到我的Kafka喷口和回声螺栓。 在Storm UI中，“ Kafka Spout Acked列的值是20-我认为这是它能够读取/访问的消息数（？）

但是，Echo Bolt行仅指出我有1个执行程序和1个任务。 所有其他列均为0。

查看生成的Storm worker日志，我看到以下行： Read partition information from: /HelloWorld Spout/partition_0 --> {"topic":"helloworld","partition":0,"topology":{"id":"<UUID>","name":"Kafka-Storm test"},"broker":{"port":6667,"host":"ip-10-0-0-35.ec2.internal"},"offset":20}以下位置Read partition information from: /HelloWorld Spout/partition_0 --> {"topic":"helloworld","partition":0,"topology":{"id":"<UUID>","name":"Kafka-Storm test"},"broker":{"port":6667,"host":"ip-10-0-0-35.ec2.internal"},"offset":20}

接下来的几行如下：

s.k.PartitionManager [INFO] Last commit offset from zookeeper: 0
s.k.PartitionManager [INFO] Commit offset 0 is more than 9223372036854775807 behind, resetting to startOffsetTime=-2
s.k.PartitionManager [INFO] Starting Kafka ip-10-0-0-35.ec2.internal:0 from offset 0
s.k.ZkCoordinator [INFO] Task [1/1] Finished refreshing
s.k.ZkCoordinator [INFO] Task [1/1] Refreshing partition manager connections
s.k.DynamicBrokersReader [INFO] Read partition info from zookeeper: GlobalPartitionInformation{partitionMap={0=ip-10-0-0-35.ec2.internal:6667}}

工作日志的其余部分在由Bolt处理的消息中未显示任何日志/打印。 我不知道为什么Bolt似乎没有从Kafka集群中获取任何消息。 任何帮助都会很棒。 谢谢。

建立KafkaSpout

private static KafkaSpout setupSpout() {
  BrokerHosts hosts = new ZkHosts("localhost:2181");
  SpoutConfig spoutConfig = new SpoutConfig(hosts, "helloworld", "", "HelloWorld Spout");
  spoutConfig.scheme = new SchemeAsMultiScheme(new StringScheme());
  spoutConfig.forceFromStart = true;
  spoutConfig.startOffsetTime = kafka.api.OffsetRequest.EarliestTime();
  return new KafkaSpout(spoutConfig);
}

构建拓扑并提交

public static void main(String[] args) {
  TopologyBuilder builder = new TopologyBuilder();
  builder.setSpout("Kafka Spout", setupSpout());
  builder.setBolt("Echo Bolt", new SystemOutEchoBolt());

  try {
    System.setProperty("storm.jar", "/tmp/storm.jar");
    StormSubmitter.submitTopology("Kafka-Storm test", new Config(), builder.createTopology());
  } //catchExceptionsHere
}

螺栓

public class SystemOutEchoBolt extends BaseRichBolt {

  private static final long serialVersionUID = 1L;
  private static final Logger logger = LoggerFactory.getLogger(SystemOutEchoBolt.class);

  private OutputCollector m_collector;

  @SuppressWarnings("rawtypes")
  @Override
  public void prepare(Map _map, TopologyContext _conetxt, OutputCollector _collector) {
    m_collector = _collector;
  }

  @Override
  public void execute(Tuple _tuple) {
    System.out.println("Printing tuple with toString(): " + _tuple.toString());
    System.out.println("Printing tuple with getString(): " + _tuple.getString(0));
    logger.info("Logging tuple with logger: " + _tuple.getString(0));
    m_collector.ack(_tuple);
  }

  @Override
  public void declareOutputFields(OutputFieldsDeclarer _declarer) {}
}

Answer 1

答案很简单。 我从来没有告诉螺栓要订阅哪个流。 添加.shuffleGrouping("Kafka Spout"); 解决了这个问题。

Answer 2

您需要调用ack或使螺栓中的元组失败，否则，喷嘴将不知道元组已被完全处理。 这将导致您看到计数问题。

public class SystemOutEchoBolt extends BaseBasicBolt {

  private static final long serialVersionUID = 1L;
  private static final Logger logger = LoggerFactory.getLogger(SystemOutEchoBolt.class);

  @Override
  public void execute(Tuple _tuple, BasicOutputCollector _collector) {
    System.out.println("Printing tuple with toString(): " + _tuple.toString());
    System.out.println("Printing tuple with getString(): " + _tuple.getString(0));
    logger.info("Logging tuple with logger: " + _tuple.getString(0));
    _collector.ack(_tuple);
  }

  @Override
  public void declareOutputFields(OutputFieldsDeclarer arg0) {}
  }
}