由于某种原因,当我尝试在Storm集群上运行拓扑时出现以下错误:
java.lang.NoClassDefFoundError: Could not initialize class org.apache.log4j.Log4jLoggerFactory
at org.apache.log4j.Logger.getLogger(Logger.java:39)
at kafka.utils.Logging$class.logger(Logging.scala:24)
at kafka.consumer.SimpleConsumer.logger$lzycompute(SimpleConsumer.scala:30)
at kafka.consumer.SimpleConsumer.logger(SimpleConsumer.scala:30)
at kafka.utils.Logging$class.info(Logging.scala:67)
at kafka.consumer.SimpleConsumer.info(SimpleConsumer.scala:30)
at kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:75)
at kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:69)
at kafka.consumer.SimpleConsumer.getOffsetsBefore(SimpleConsumer.scala:128)
at kafka.javaapi.consumer.SimpleConsumer.getOffsetsBefore(SimpleConsumer.scala:79)
at storm.kafka.KafkaUtils.getOffset(KafkaUtils.java:77)
at storm.kafka.KafkaUtils.getOffset(KafkaUtils.java:67)
at storm.kafka.PartitionManager.<init>(PartitionManager.java:83)
at storm.kafka.ZkCoordinator.refresh(ZkCoordinator.java:98)
at storm.kafka.ZkCoordinator.getMyManagedPartitions(ZkCoordinator.java:69)
at storm.kafka.KafkaSpout.nextTuple(KafkaSpout.java:135)
at backtype.storm.daemon.executor$fn__3373$fn__3388$fn__3417.invoke(executor.clj:565)
at backtype.storm.util$async_loop$fn__464.invoke(util.clj:463) at clojure.lang.AFn.run(AFn.java:24)
at java.lang.Thread.run(Thread.java:745)cg
问题是什么以及如何解决?
以下是我包含的依赖项:
<dependencies>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-core</artifactId>
<version>0.9.5</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>0.8.2-beta</version>
</dependency>
<dependency>
<groupId>org.apache.storm</groupId>
<artifactId>storm-kafka</artifactId>
<version>0.9.5</version>
</dependency>
<dependency>
<groupId>org.codehaus.jackson</groupId>
<artifactId>jackson-mapper-asl</artifactId>
<version>1.9.11</version>
</dependency>
<dependency>
<groupId>org.java-websocket</groupId>
<artifactId>Java-WebSocket</artifactId>
<version>1.3.0</version>
</dependency>
<dependency>
<groupId>org.twitter4j</groupId>
<artifactId>twitter4j-core</artifactId>
<version>[3.0,)</version>
</dependency>
<dependency>
<groupId>org.twitter4j</groupId>
<artifactId>twitter4j-stream</artifactId>
<version>[3.0,)</version>
</dependency>
</dependencies>
答案 0 :(得分:7)
问题是你应该以下列方式包括Kafka:
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>0.8.1.1</version>
<exclusions>
<exclusion>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
</exclusions>
</dependency>
出于以下原因:
请注意,ZooKeeper和log4j依赖项被排除在外,以防止版本与Storm的依赖项冲突。
答案 1 :(得分:2)
您使用“正确”的日志记录框架吗?
来自https://storm.apache.org/2013/12/08/storm090-released.html
记录更改
0.9.0中的另一个重要变化与日志记录有关。 Storm已经在很大程度上切换到了slf4j API(由logback logger实现支持)。一些Storm依赖依赖于log4j API,因此Storm目前依赖于log4j-over-slf4j。
这些更改会影响使用log4j API的现有拓扑和拓扑组件。
通常,在可能的情况下,Storm拓扑和拓扑组件应使用slf4j API进行日志记录。
如果您不使用与Storm相同的日志记录框架,则需要将使用过的库与拓扑代码一起包含在jar
文件中。
答案 2 :(得分:1)
当我像你一样包括kafka时,我遇到了同样的问题,所以我根据throw异常以另一种方式包含了kafka:
SLF4J: Detected both log4j-over-slf4j.jar AND slf4j-log4j12.jar on the class
path, preempting StackOverflowError. SLF4J: See also
http://www.slf4j.org/codes.html#log4jDelegationLoop for more details.
您可以通过以下方式添加kafka:
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>${kafka.version}</version>
<exclusions>
<exclusion>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
</exclusion>
<exclusion>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
</exclusion>
<exclusion>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
</exclusion>
</exclusions>
</dependency>