storm报错：Exception in thread "main" java.lang.RuntimeException: InvalidTopologyException(msg:Component: [mybolt] subscribes from non-existent stream: [default] of component [kafka_spout])

问题描述：

　　storm版本：1.2.2，kafka版本：2.11。

　　  在使用storm去消费kafka中的数据时，发生了如下错误。

[root@node01 jars]# /opt/storm-1.2.2/bin/storm jar MyProject-1.0-SNAPSHOT-jar-with-dependencies.jar com.suhaha.storm.storm122_kafka211_demo02.KafkaTopoDemo stormkafka
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/storm-1.2./lib/log4j-slf4j-impl-2.8..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/jars/MyProject-1.0-SNAPSHOT-jar-with-dependencies.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Running: /usr/java/jdk1..0_181/bin/java -client -Ddaemon.name= -Dstorm.options= -Dstorm.home=/opt/storm-1.2. -Dstorm.log.dir=/opt/storm-1.2./logs -Djava.library.path=/usr/local/lib:/opt/local/lib:/usr/lib -Dstorm.conf.file= -cp /opt/storm-1.2./*:/opt/storm-1.2.2/lib/*:/opt/storm-1.2.2/extlib/*:MyProject-1.0-SNAPSHOT-jar-with-dependencies.jar:/opt/storm-1.2.2/conf:/opt/storm-1.2.2/bin -Dstorm.jar=MyProject-1.0-SNAPSHOT-jar-with-dependencies.jar -Dstorm.dependency.jars= -Dstorm.dependency.artifacts={} com.suhaha.storm.storm122_kafka211_demo02.KafkaTopoDemo stormkafka
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/opt/storm-1.2.2/lib/log4j-slf4j-impl-2.8.2.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/data/jars/MyProject-1.0-SNAPSHOT-jar-with-dependencies.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
1329 [main] INFO  o.a.s.k.s.KafkaSpoutConfig - Setting Kafka consumer property 'auto.offset.reset' to 'earliest' to ensure at-least-once processing
1338 [main] INFO  o.a.s.k.s.KafkaSpoutConfig - Setting Kafka consumer property 'enable.auto.commit' to 'false', because the spout does not support auto-commit
【run on cluster】
1617 [main] WARN  o.a.s.u.Utils - STORM-VERSION new 1.2.2 old null
1699 [main] INFO  o.a.s.StormSubmitter - Generated ZooKeeper secret payload for MD5-digest: -9173161025072727826:-6858502481790933429
1857 [main] WARN  o.a.s.u.NimbusClient - Using deprecated config nimbus.host for backward compatibility. Please update your storm.yaml so it only has config nimbus.seeds
1917 [main] INFO  o.a.s.u.NimbusClient - Found leader nimbus : node01:6627
1947 [main] INFO  o.a.s.s.a.AuthUtils - Got AutoCreds []
1948 [main] WARN  o.a.s.u.NimbusClient - Using deprecated config nimbus.host for backward compatibility. Please update your storm.yaml so it only has config nimbus.seeds
1950 [main] INFO  o.a.s.u.NimbusClient - Found leader nimbus : node01:6627
1998 [main] INFO  o.a.s.StormSubmitter - Uploading dependencies - jars...
1998 [main] INFO  o.a.s.StormSubmitter - Uploading dependencies - artifacts...
1998 [main] INFO  o.a.s.StormSubmitter - Dependency Blob keys - jars : [] / artifacts : []
2021 [main] INFO  o.a.s.StormSubmitter - Uploading topology jar MyProject-1.0-SNAPSHOT-jar-with-dependencies.jar to assigned location: /var/storm/nimbus/inbox/stormjar-ce16c5f2-db05-4d0c-8c55-01512ed64ee7.jar
3832 [main] INFO  o.a.s.StormSubmitter - Successfully uploaded topology jar to assigned location: /var/storm/nimbus/inbox/stormjar-ce16c5f2-db05-4d0c-8c55-01512ed64ee7.jar
3832 [main] INFO  o.a.s.StormSubmitter - Submitting topology stormkafka in distributed mode with conf {"storm.zookeeper.topology.auth.scheme":"digest","storm.zookeeper.topology.auth.payload":"-9173161025072727826:-6858502481790933429","topology.workers":1,"topology.debug":true}
3832 [main] WARN  o.a.s.u.Utils - STORM-VERSION new 1.2.2 old 1.2.2
5588 [main] WARN  o.a.s.StormSubmitter - Topology submission exception: Component: [mybolt] subscribes from non-existent stream: [default] of component [kafka_spout]
Exception in thread "main" java.lang.RuntimeException: InvalidTopologyException(msg:Component: [mybolt] subscribes from non-existent stream: [default] of component [kafka_spout])
    at org.apache.storm.StormSubmitter.submitTopologyAs(StormSubmitter.java:273)
    at org.apache.storm.StormSubmitter.submitTopology(StormSubmitter.java:387)
    at org.apache.storm.StormSubmitter.submitTopology(StormSubmitter.java:159)
    at com.suhaha.storm.storm122_kafka211_demo02.KafkaTopoDemo.main(KafkaTopoDemo.java:47)
Caused by: InvalidTopologyException(msg:Component: [mybolt] subscribes from non-existent stream: [default] of component [kafka_spout])
    at org.apache.storm.generated.Nimbus$submitTopology_result$submitTopology_resultStandardScheme.read(Nimbus.java:8070)
    at org.apache.storm.generated.Nimbus$submitTopology_result$submitTopology_resultStandardScheme.read(Nimbus.java:8047)
    at org.apache.storm.generated.Nimbus$submitTopology_result.read(Nimbus.java:7981)
    at org.apache.storm.thrift.TServiceClient.receiveBase(TServiceClient.java:86)
    at org.apache.storm.generated.Nimbus$Client.recv_submitTopology(Nimbus.java:306)
    at org.apache.storm.generated.Nimbus$Client.submitTopology(Nimbus.java:290)
    at org.apache.storm.StormSubmitter.submitTopologyInDistributeMode(StormSubmitter.java:326)
    at org.apache.storm.StormSubmitter.submitTopologyAs(StormSubmitter.java:260)
    ... 3 more

报错图示如下：

报错的意思为：mybolt这个组件，在从kafka_sput组件上消费消息时，它所消费的default数据流是不存在的。

上面的报错是因为代码中有地方写错了，下面贴出代码

1）KafkaTopoDemo类（main方法入口类和kafkaSpout设置）

 package com.suhaha.storm.storm122_kafka211_demo02;

 import org.apache.kafka.clients.consumer.ConsumerConfig;
 import org.apache.storm.Config;
 import org.apache.storm.LocalCluster;
 import org.apache.storm.StormSubmitter;
 import org.apache.storm.generated.AlreadyAliveException;
 import org.apache.storm.generated.AuthorizationException;
 import org.apache.storm.generated.InvalidTopologyException;
 import org.apache.storm.kafka.spout.*;
 import org.apache.storm.topology.TopologyBuilder;
 import org.apache.storm.tuple.Fields;
 import org.apache.storm.tuple.Values;
 import org.apache.storm.kafka.spout.KafkaSpoutRetryExponentialBackoff.TimeInterval;
 import static org.apache.storm.kafka.spout.KafkaSpoutConfig.FirstPollOffsetStrategy.EARLIEST;

 /**
  * @author suhaha
  * @create 2019-04-28 00:44
  * @comment storm消费kafka数据
  */

 public class KafkaTopoDemo {
     public static void main(String[] args) {
         final TopologyBuilder topologybuilder = new TopologyBuilder();
         //简单的不可靠spout
 //        topologybuilder.setSpout("kafka_spout", new KafkaSpout<>(KafkaSpoutConfig.builder("node01:9092,node02:9092,node03:9092", "topic01").build()));

         //详细的设置spout,写一个方法生成KafkaSpoutConfig
         topologybuilder.setSpout("kafka_spout", new KafkaSpout<String,String>(newKafkaSpoutConfig("topic01")));

         topologybuilder.setBolt("mybolt", new MyBolt("/tmp/storm_test.log")).shuffleGrouping("kafka_spout");

         //上面设置的是topology，现在设置storm配置
         Config stormConf=new Config();
         stormConf.setNumWorkers(1);
         stormConf.setDebug(true);

         if (args != null && args.length > 0) {//集群提交
             System.out.println("【run on cluster】");

             try {
                 StormSubmitter.submitTopology(args[0], stormConf, topologybuilder.createTopology());
             } catch (AlreadyAliveException e) {
                 e.printStackTrace();
             } catch (InvalidTopologyException e) {
                 e.printStackTrace();
             } catch (AuthorizationException e) {
                 e.printStackTrace();
             }
             System.out.println("提交完成");

         } else {//本地提交
             System.out.println("【run on local】");
             LocalCluster lc = new LocalCluster();
             lc.submitTopology("storm_kafka", stormConf, topologybuilder.createTopology());
         }
     }

     /**
      * KafkaSpoutConfig设置
     */
     private static KafkaSpoutConfig<String,String> newKafkaSpoutConfig(String topic) {
         ByTopicRecordTranslator<String, String> trans = new ByTopicRecordTranslator<>(
                 (r) -> new Values(r.topic(), r.partition(), r.offset(), r.key(), r.value()),
                 new Fields("topic", "partition", "offset", "key", "value"), "stream1");
         //bootstrapServer 以及topic
         return KafkaSpoutConfig.builder("node01:9092,node02:9092,node03:9092", topic)
                 .setProp(ConsumerConfig.GROUP_ID_CONFIG, "kafkaSpoutTestGroup_" + System.nanoTime())//设置kafka使用者组属性"group.id"
                 .setProp(ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG, 200)
                 .setRecordTranslator(trans)//修改spout如何将Kafka消费者message转换为tuple,以及将该tuple发布到哪个stream中
                 .setRetry(getRetryService())//重试策略
                 .setOffsetCommitPeriodMs(10_000)
                 .setFirstPollOffsetStrategy(EARLIEST)//允许你设置从哪里开始消费数据
                 .setMaxUncommittedOffsets(250)
                 .build();
     }

     /**
      * 重试策略设置
     */
     protected static KafkaSpoutRetryService getRetryService() {
         return new KafkaSpoutRetryExponentialBackoff(TimeInterval.microSeconds(500),
             TimeInterval.milliSeconds(2), Integer.MAX_VALUE, TimeInterval.seconds(10));
     }
 }

 2）bolt类（跟问题没啥关系）

 package com.suhaha.storm.storm122_kafka211_demo02;

 import org.apache.storm.task.OutputCollector;
 import org.apache.storm.task.TopologyContext;
 import org.apache.storm.topology.IRichBolt;
 import org.apache.storm.topology.OutputFieldsDeclarer;
 import org.apache.storm.tuple.Tuple;
 import java.io.FileWriter;
 import java.io.IOException;
 import java.util.Map;

 /**
  * @author suhaha
  * @create 2019-04-28 01:05
  * @comment  该bolt中的处理逻辑非常简单，只是简单的从input中将各类数据取出来，然后简单的打印出来
  *         并且将数据打印到path指定的文件中（这里需要注意的是，最终写出的文件是在执行该bolt task的worker上的，
  *      而不在nimbus服务器路径下，也不一定在提交storm job的服务器上）
  */

 public class MyBolt implements IRichBolt {
     private FileWriter fileWriter = null;
     String path = null;

     @Override
     public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
         try {
             fileWriter = new FileWriter(path);
         } catch (IOException e) {
             e.printStackTrace();
         }
     }

     /**
      * 构造方法
      * @param path
      */
     public MyBolt(String path) {
         this.path = path;
     }

     @Override
     public void execute(Tuple input) {
         System.out.println(input);
         try {
             /**
              * 从input中获取相应数据
              */
             System.out.println("=========================");
             String topic = input.getString(0);
             System.out.println("index 0 --> " + topic);        //topic
             System.out.println("topic   --> " + input.getStringByField("topic"));

             System.out.println("-------------------------");
             System.out.println("index 1 --> " + input.getInteger(1));        //partition
             Integer partition = input.getIntegerByField("partition");
             System.out.println("partition-> " + partition);

             System.out.println("-------------------------");
             Long offset = input.getLong(2);
             System.out.println("index 2 --> " + offset);        //offset
             System.out.println("offset----> " +input.getLongByField("offset"));

             System.out.println("-------------------------");
             String key = input.getString(3);
             System.out.println("index 3 --> " + key);        //key
             System.out.println("key-------> " + input.getStringByField("key"));

             System.out.println("-------------------------");
             String value = input.getString(4);
             System.out.println("index 4 --> " + value);        //value
             System.out.println("value--> " + input.getStringByField("value"));

             String info = "topic: " + topic + ", partiton: " +partition + ", offset: " + offset + ", key: " + key +", value: " + value + "\n";
             System.out.println("info = " + info);
             fileWriter.write(info);
             fileWriter.flush();
         } catch (Exception e) {
             e.printStackTrace();
         }
     }

     @Override
     public void cleanup() {
         // TODO Auto-generated method stub
     }

     @Override
     public void declareOutputFields(OutputFieldsDeclarer declarer) {
         // TODO Auto-generated method stub
     }

     @Override
     public Map<String, Object> getComponentConfiguration() {
         // TODO Auto-generated method stub
         return null;
     }
 }

---

错误出现在KafkaTopoDemo类中，已在上面的代码中做了黄色高亮标注。

错误的原因在于，在代码中对RecordTranslator进行设置时（第67行），将数据流Id设置成了stream1；而在对topologyBuilder设置bolt时（第32行），使用的分发策略是shuffleGrouping("kafka_spout")，其实错误跟分发策略没关系，但是跟分发策略的使用方式有关系——当使用shuffleGrouping(String componentId)这种方式设置分发策略时，mybolt组件默认是从上游组件的default 这个数据流中获取数据，而在代码中，我已将上游（kafka_spout）的数据流id设置成了stream1，故而导致了报错（InvalidTopologyException(msg:Component: [mybolt] subscribes from non-existent stream: [default] of component [kafka_spout])，说default数据流不存在）。

因此，需要对代码做了相应修改，即：在设置mybolt组件的分发策略时，使用shuffleGrouping(String componentId, String streamId)，手动指定要读取的数据流id为stream1，如此，程序就不会报该错误了。

topologybuilder.setBolt("mybolt", new MyBolt("/tmp/storm_test.log")).shuffleGrouping("kafka_spout", "stream1");