Question

编辑：我在Bolt上添加了一个.ack（）（要求我使用Rich Bolt而不是基本的螺栓）并且遇到了同样的问题 - 没有任何东西可以告诉我元组正由螺栓处理。 / p>

如果重要，我在EC2实例上的CentOS映像上运行它。任何帮助将不胜感激。

我正在尝试设置一个非常基本的HelloWorld Storm示例来读取来自Kafka群集的消息并打印/记录我得到的消息。

目前我在Kafka群集中有20条消息。当我运行拓扑（似乎开始很好）时，我能够看到我的Kafka Spout以及Echo Bolt。在Storm UI中，Kafka Spout Acked列有20个作为值 - 我假设它是能够读取/访问的消息数（？）

但是，Echo Bolt系列只注意到我有1个执行器和1个任务。所有其他列都是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显示Bolt处理的消息没有记录/打印。我不知道为什么Bolt似乎没有从Kafka集群获得任何消息。任何帮助都会很棒。感谢。

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。我从来没有告诉过哪个流可以订阅。添加.shuffleGrouping("Kafka Spout");解决了问题。

Answer 2

您需要在螺栓中的元组上调用ack或失败，否则spout不知道元组已经完全处理。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) {}
  }
}

Storm Bolt不打印/记录Kafka Spout

2 个答案: