风暴螺栓不打印/记录Kafka喷口

ghg1uchk  于 2021-06-08  发布在  Kafka
关注(0)|答案(2)|浏览(375)

编辑:我在bolt中添加了一个.ack()(这要求我使用一个富bolt而不是基本的bolt),并且遇到了相同的问题-没有任何东西告诉我元组正在被bolt处理。
如果有关系的话,我在ec2示例的centos映像上运行这个。任何帮助都将不胜感激。
我正在尝试建立一个非常基本的helloworld风暴示例,从kafka集群读取消息,并打印/记录收到的消息。
目前我有20个消息在Kafka集群。当我运行拓扑结构(它看起来刚刚开始),我可以看到我的Kafka喷口以及回声螺栓。在Storm中,Kafka喷口 Acked 列的值为20—我假设是它能够读取/访问的消息数(?)
然而,echobolt行只注意到我有1个执行者和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} 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}}

worker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从Kafka星团得到任何信息。任何帮助都会很好。谢谢。
建造Kafka城堡

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) {}
}
ua4mk5z4

ua4mk5z41#

您需要在bolt中对元组调用ack或fail,否则spout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) {}
  }
}
km0tfn4u

km0tfn4u2#

答案很简单。我从来没有告诉博尔特该订阅哪条流。添加 .shuffleGrouping("Kafka Spout"); 解决了这个问题。

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