Storm Bolt未打印/记录Kafka Spout

Question

编辑：我在Bolt中添加了.ack（）（这需要我使用Rich Bolt而不是基本的Bolt），但我遇到了同样的问题-螺栓没有告诉我元组正在处理。

如果重要的话，我将在EC2实例上的一个CentOS映像上运行此程序。如有任何帮助，我们将不胜感激。

---

---

我正在尝试设置一个非常基本的HelloWorld Storm示例来读取Kafka集群中的消息，并打印/记录我收到的消息。

目前，我在Kafka集群中有20条消息。当我运行拓扑结构（看起来开始得很好）时，我可以看到我的Kafka Spout和Echo Bolt。在Storm UI中，Kafka Spout Acked列的值为20，我认为这是它能够读取/访问（？）的消息数

然而，Echo Bolt行只注意到我有1个执行器和1个任务。所有其他列均为0。

查看生成的Storm工作日志，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}

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没有显示Bolt处理的消息的日志/打印输出。我不明白为什么博尔特似乎没有收到卡夫卡集群的任何信息。任何帮助都会很棒。谢谢

构建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。我从来没有告诉博尔特订阅哪个流。添加.shuffleGrouping("Kafka Spout");解决了这个问题。

Answer 2

您需要对螺栓中的元组调用ack或fail，否则喷嘴不知道元组已被完全处理。这将导致您看到的计数问题。

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) {}
  }
}