部署 Storm 构建 JAR

Question

我开发了一个Javaclass从Kafka队列中读取数据并打印出来

ZkHosts zkHosts=new ZkHosts("localhost:2181");
String topic_name="test";
String consumer_group_id="storm";
String zookeeper_root="";
SpoutConfig kafkaConfig=new SpoutConfig(zkHosts, 
        topic_name, zookeeper_root, consumer_group_id);
kafkaConfig.scheme=new SchemeAsMultiScheme(new StringScheme());
/*kafkaConfig.forceFromStart=false;
kafkaConfig.startOffsetTime =-2;*/

KafkaSpout kafkaSpout = new KafkaSpout(kafkaConfig);
TopologyBuilder builder=new TopologyBuilder();
//builder.setSpout("KafkaSpout", kafkaSpout, 1);
builder.setSpout("KafkaSpout", kafkaSpout);
builder.setBolt("PrinterBolt", new PrinterBolt()).globalGrouping("KafkaSpout");
Map<String, Object> conf = new HashMap<String, Object>();
conf.put(Config.TRANSACTIONAL_ZOOKEEPER_PORT, 2181);
conf.put(Config.TRANSACTIONAL_ZOOKEEPER_SERVERS, Arrays.asList("localhost"));
conf.put(Config.STORM_ZOOKEEPER_SESSION_TIMEOUT, 20000);
conf.put(Config.STORM_ZOOKEEPER_CONNECTION_TIMEOUT, 20000);
conf.put(Config.STORM_ZOOKEEPER_RETRY_TIMES, 3);
conf.put(Config.STORM_ZOOKEEPER_RETRY_INTERVAL, 30);
LocalCluster cluster=new LocalCluster();
try{
    cluster.submitTopology("KafkaConsumerTopology", conf, builder.createTopology());
    Thread.sleep(120000);
}catch (Exception e) {
    //throw new IllegalStateException("Couldn't initialize the topology", e);
    System.out.println(e.getMessage());
}

编码后，我将 Maven 构建为 JAR 文件并将 jar 移动到 Amazon AWS 集群
然后运行命令如 nohup java -cp uber-***-0.0.1-SNAPSHOT.jar com.***.&&&.kafka.App

但是我在这里遇到了一个错误，谁能告诉我我在部署时犯了什么错误？。我在考虑以下我必须做的事情：

我需要在 strom config 文件夹中部署这个 jar 文件，我需要吗？但我确实将 jar 放在 AWS 的单独文件夹中（不在 storm 文件夹中）
如何查看系统输出
我需要在我的项目中包含任何 yml 文件吗？

请查找以下例外情况：

29537 [Thread-14-KafkaSpout] ERROR backtype.storm.util - Async loop died!
java.lang.ExceptionInInitializerError: null
    at org.apache.log4j.Logger.getLogger(Logger.java:39) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.utils.Logging$class.logger(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.network.BlockingChannel.logger$lzycompute(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.network.BlockingChannel.logger(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.utils.Logging$class.debug(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.network.BlockingChannel.debug(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.network.BlockingChannel.connect(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.consumer.SimpleConsumer.connect(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.consumer.SimpleConsumer.getOrMakeConnection(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.consumer.SimpleConsumer.getOffsetsBefore(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at kafka.javaapi.consumer.SimpleConsumer.getOffsetsBefore(Unknown Source) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at storm.kafka.KafkaUtils.getOffset(KafkaUtils.java:77) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at storm.kafka.KafkaUtils.getOffset(KafkaUtils.java:67) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at storm.kafka.PartitionManager.<init>(PartitionManager.java:83) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at storm.kafka.ZkCoordinator.refresh(ZkCoordinator.java:98) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at storm.kafka.ZkCoordinator.getMyManagedPartitions(ZkCoordinator.java:69) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at storm.kafka.KafkaSpout.nextTuple(KafkaSpout.java:135) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at backtype.storm.daemon.executor$fn__3373$fn__3388$fn__3417.invoke(executor.clj:565) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at backtype.storm.util$async_loop$fn__464.invoke(util.clj:463) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    at clojure.lang.AFn.run(AFn.java:24) [uber-iot-0.0.1-SNAPSHOT.jar:na]
    at java.lang.Thread.run(Thread.java:745) [na:1.8.0_66]
Caused by: java.lang.IllegalStateException: Detected both log4j-over-slf4j.jar AND slf4j-log4j12.jar on the class path, preempting WhosebugError. See also http://www.slf4j.org/codes.html#log4jDelegationLoop for more details.
    at org.apache.log4j.Log4jLoggerFactory.<clinit>(Log4jLoggerFactory.java:49) ~[uber-iot-0.0.1-SNAPSHOT.jar:na]
    ... 22 common frames omitted

Answer 1

@Matthias J. Sax 和大家，感谢您的帮助。我在这里犯的错误是，我遵循的部署过程是错误的。要部署拓扑构建，我必须遵循以下过程，

必须将 Jar 推入 storm AWS 文件夹，然后必须运行下面的命令才能使其被 Storm 识别

rm -f *.out

(nohup bin/storm 灵气 > nimubus.out)&

(nohup bin/storm 主管 > supervisor.out)&

(nohup bin/storm jar topos/IoT.jar com.bridgera.iot.test.App01 > IoT.out)&

这里我告诉风暴它在哪里可以找到我的 jar 和主要 class 从哪里可以找到拓扑构建器...

谢谢大家...

部署 Storm 构建 JAR

Deploying Storm build JAR

java

apache-storm

kafka-consumer-api