我的情况是：
apache spark 2.4.4版
hadoop版本2.7.4
我的应用程序jar位于hdfs中。
我的spark提交如下：
/software/spark-2.4.4-bin-hadoop2.7/bin/spark-submit \
--class com.me.MyClass --master spark://host2.local:7077 \
--deploy-mode cluster \
hdfs://host2.local:9000/apps/myapps.jar我得到这个错误：
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.hadoop.tracing.SpanReceiverHost.get(Lorg/apache/hadoop/conf/Configuration;Ljava/lang/String;)Lorg/apache/hadoop/tracing/SpanReceiverHost;
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:634)
at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:619)
at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:149)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2598)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2632)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2614)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.spark.deploy.DependencyUtils$$anonfun$resolveGlobPaths$2.apply(DependencyUtils.scala:144)
at org.apache.spark.deploy.DependencyUtils$$anonfun$resolveGlobPaths$2.apply(DependencyUtils.scala:139)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at org.apache.spark.deploy.DependencyUtils$.resolveGlobPaths(DependencyUtils.scala:139)
at org.apache.spark.deploy.DependencyUtils$$anonfun$resolveAndDownloadJars$1.apply(DependencyUtils.scala:61)
at org.apache.spark.deploy.DependencyUtils$$anonfun$resolveAndDownloadJars$1.apply(DependencyUtils.scala:64)
at scala.Option.map(Option.scala:146)
at org.apache.spark.deploy.DependencyUtils$.resolveAndDownloadJars(DependencyUtils.scala:60)
at org.apache.spark.deploy.worker.DriverWrapper$.setupDependencies(DriverWrapper.scala:96)
at org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:60)
at org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala)有什么办法解决这个问题吗？谢谢您。
2条答案
按热度按时间7z5jn7bk1#
--deploy-mode cluster在这种情况下会有帮助。把jar放在一起由Yarn团负责。zaqlnxep2#
无需将jar转移到集群中，您可以使用可执行权限从本地id本身运行jar。应用程序构建完成后，将.jar传输到unix用户帐户并授予其可执行权限。看看下面的Sparksubmit:-
spark submit--master yarn--deploy mode cluster--queue default--files“属性文件的完整路径”--driver memory 4g--num executors 8--executor cores 1--executor memory 4g--class“主类名”
“传输到本地unix id的jar的完整路径”
如果需要，可以使用其他spark submit配置参数。请注意，在某些版本中，如果涉及多个spark版本，则必须使用spark2 submit而不是spark submit。