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重新启动 Spark HistoryServer 后,它无法启动,我们正在使用 CDH 5.3.1 和 Spark 1.2我检查了 Spark HistoryServer 的日志,发现以下消息:
2015-05-21 11:38:03,790 WARN org.apache.spark.scheduler.ReplayListenerBus: Log path provided contains no log files.
2015-05-21 11:38:52,319 INFO org.apache.spark.deploy.history.HistoryServer: Registered signal handlers for [TERM, HUP, INT]
2015-05-21 11:38:52,328 WARN org.apache.spark.deploy.history.HistoryServerArguments: Setting log directory through the command line is deprecated as of Spark 1.1.0. Please set this through spark.history.fs.logDirectory instead.
2015-05-21 11:38:52,461 INFO org.apache.spark.SecurityManager: Changing view acls to: spark
2015-05-21 11:38:52,462 INFO org.apache.spark.SecurityManager: Changing modify acls to: spark
2015-05-21 11:38:52,463 INFO org.apache.spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(spark); users with modify permissions: Set(spark)
2015-05-21 11:41:24,893 ERROR org.apache.spark.deploy.history.HistoryServer: RECEIVED SIGNAL 15: SIGTERM
2015-05-21 11:41:33,439 INFO org.apache.spark.deploy.history.HistoryServer: Registered signal handlers for [TERM, HUP, INT]
2015-05-21 11:41:33,447 WARN org.apache.spark.deploy.history.HistoryServerArguments: Setting log directory through the command line is deprecated as of Spark 1.1.0. Please set this through spark.history.fs.logDirectory instead.
2015-05-21 11:41:33,578 INFO org.apache.spark.SecurityManager: Changing view acls to: spark
2015-05-21 11:41:33,579 INFO org.apache.spark.SecurityManager: Changing modify acls to: spark
2015-05-21 11:41:33,579 INFO org.apache.spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(spark); users with modify permissions: Set(spark)
2015-05-21 11:44:07,147 WARN org.apache.hadoop.hdfs.BlockReaderFactory: I/O error constructing remote block reader.
java.io.EOFException: Premature EOF: no length prefix available
at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:2109)
at org.apache.hadoop.hdfs.RemoteBlockReader2.newBlockReader(RemoteBlockReader2.java:408)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReader(BlockReaderFactory.java:785)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:663)
at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:327)
at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:574)
at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:797)
at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:844)
at java.io.DataInputStream.read(DataInputStream.java:149)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:273)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:283)
at sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:325)
at sun.nio.cs.StreamDecoder.read(StreamDecoder.java:177)
at java.io.InputStreamReader.read(InputStreamReader.java:184)
at java.io.BufferedReader.fill(BufferedReader.java:154)
at java.io.BufferedReader.readLine(BufferedReader.java:317)
at java.io.BufferedReader.readLine(BufferedReader.java:382)
at scala.io.BufferedSource$BufferedLineIterator.hasNext(BufferedSource.scala:67)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:69)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:55)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at org.apache.spark.scheduler.ReplayListenerBus.replay(ReplayListenerBus.scala:55)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:175)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:172)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$checkForLogs(FsHistoryProvider.scala:172)
at org.apache.spark.deploy.history.FsHistoryProvider.initialize(FsHistoryProvider.scala:108)
at org.apache.spark.deploy.history.FsHistoryProvider.<init>(FsHistoryProvider.scala:91)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:184)
at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
2015-05-21 11:44:07,151 WARN org.apache.hadoop.hdfs.DFSClient: Failed to connect to /10.1.1.253:50010 for block, add to deadNodes and continue. java.io.EOFException: Premature EOF: no length prefix available
java.io.EOFException: Premature EOF: no length prefix available
at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:2109)
at org.apache.hadoop.hdfs.RemoteBlockReader2.newBlockReader(RemoteBlockReader2.java:408)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReader(BlockReaderFactory.java:785)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:663)
at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:327)
at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:574)
at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:797)
at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:844)
at java.io.DataInputStream.read(DataInputStream.java:149)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:273)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:283)
at sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:325)
at sun.nio.cs.StreamDecoder.read(StreamDecoder.java:177)
at java.io.InputStreamReader.read(InputStreamReader.java:184)
at java.io.BufferedReader.fill(BufferedReader.java:154)
at java.io.BufferedReader.readLine(BufferedReader.java:317)
at java.io.BufferedReader.readLine(BufferedReader.java:382)
at scala.io.BufferedSource$BufferedLineIterator.hasNext(BufferedSource.scala:67)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:69)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:55)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at org.apache.spark.scheduler.ReplayListenerBus.replay(ReplayListenerBus.scala:55)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:175)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:172)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$checkForLogs(FsHistoryProvider.scala:172)
at org.apache.spark.deploy.history.FsHistoryProvider.initialize(FsHistoryProvider.scala:108)
at org.apache.spark.deploy.history.FsHistoryProvider.<init>(FsHistoryProvider.scala:91)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:184)
at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
2015-05-21 11:44:07,161 INFO org.apache.hadoop.hdfs.DFSClient: Successfully connected to /10.1.1.190:50010 for BP-1877157801-10.1.1.42-1366756660926:blk_1104141398_1099642456200
2015-05-21 11:44:19,946 WARN org.apache.hadoop.hdfs.BlockReaderFactory: I/O error constructing remote block reader.
java.io.EOFException: Premature EOF: no length prefix available
at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:2109)
at org.apache.hadoop.hdfs.RemoteBlockReader2.newBlockReader(RemoteBlockReader2.java:408)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReader(BlockReaderFactory.java:785)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:663)
at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:327)
at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:574)
at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:797)
at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:844)
at java.io.DataInputStream.read(DataInputStream.java:149)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:273)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:283)
at sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:325)
at sun.nio.cs.StreamDecoder.read(StreamDecoder.java:177)
at java.io.InputStreamReader.read(InputStreamReader.java:184)
at java.io.BufferedReader.fill(BufferedReader.java:154)
at java.io.BufferedReader.readLine(BufferedReader.java:317)
at java.io.BufferedReader.readLine(BufferedReader.java:382)
at scala.io.BufferedSource$BufferedLineIterator.hasNext(BufferedSource.scala:67)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:69)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:55)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at org.apache.spark.scheduler.ReplayListenerBus.replay(ReplayListenerBus.scala:55)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:175)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:172)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$checkForLogs(FsHistoryProvider.scala:172)
at org.apache.spark.deploy.history.FsHistoryProvider.initialize(FsHistoryProvider.scala:108)
at org.apache.spark.deploy.history.FsHistoryProvider.<init>(FsHistoryProvider.scala:91)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:184)
at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
2015-05-21 11:44:19,947 WARN org.apache.hadoop.hdfs.DFSClient: Failed to connect to /10.1.1.253:50010 for block, add to deadNodes and continue. java.io.EOFException: Premature EOF: no length prefix available
java.io.EOFException: Premature EOF: no length prefix available
at org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:2109)
at org.apache.hadoop.hdfs.RemoteBlockReader2.newBlockReader(RemoteBlockReader2.java:408)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReader(BlockReaderFactory.java:785)
at org.apache.hadoop.hdfs.BlockReaderFactory.getRemoteBlockReaderFromTcp(BlockReaderFactory.java:663)
at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:327)
at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:574)
at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:797)
at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:844)
at java.io.DataInputStream.read(DataInputStream.java:149)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:273)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:283)
at sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:325)
at sun.nio.cs.StreamDecoder.read(StreamDecoder.java:177)
at java.io.InputStreamReader.read(InputStreamReader.java:184)
at java.io.BufferedReader.fill(BufferedReader.java:154)
at java.io.BufferedReader.readLine(BufferedReader.java:317)
at java.io.BufferedReader.readLine(BufferedReader.java:382)
at scala.io.BufferedSource$BufferedLineIterator.hasNext(BufferedSource.scala:67)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:69)
at org.apache.spark.scheduler.ReplayListenerBus$$anonfun$replay$2.apply(ReplayListenerBus.scala:55)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at org.apache.spark.scheduler.ReplayListenerBus.replay(ReplayListenerBus.scala:55)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:175)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:172)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$checkForLogs(FsHistoryProvider.scala:172)
at org.apache.spark.deploy.history.FsHistoryProvider.initialize(FsHistoryProvider.scala:108)
at org.apache.spark.deploy.history.FsHistoryProvider.<init>(FsHistoryProvider.scala:91)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:184)
at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
2015-05-21 11:44:19,950 INFO org.apache.hadoop.hdfs.DFSClient: Successfully connected to /10.1.1.35:50010 for BP-1877157801-10.1.1.42-1366756660926:blk_1104192564_1099642507371
还有
2015-05-21 11:38:03,789 WARN org.apache.spark.scheduler.ReplayListenerBus: Log path provided contains no log files.
2015-05-21 11:38:03,789 WARN org.apache.spark.scheduler.ReplayListenerBus: Log path provided contains no log files.
2015-05-21 11:38:03,789 ERROR org.apache.spark.deploy.history.FsHistoryProvider: Exception in accessing modification time of hdfs://my-hadoop/user/spark/applicationHistory/application_1431044565372_11706
java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:765)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:1900)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:1885)
at org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:654)
at org.apache.hadoop.hdfs.DistributedFileSystem.access$600(DistributedFileSystem.java:104)
at org.apache.hadoop.hdfs.DistributedFileSystem$14.doCall(DistributedFileSystem.java:716)
at org.apache.hadoop.hdfs.DistributedFileSystem$14.doCall(DistributedFileSystem.java:712)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:712)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$getModificationTime(FsHistoryProvider.scala:236)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:182)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:172)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$checkForLogs(FsHistoryProvider.scala:172)
at org.apache.spark.deploy.history.FsHistoryProvider.initialize(FsHistoryProvider.scala:108)
at org.apache.spark.deploy.history.FsHistoryProvider.<init>(FsHistoryProvider.scala:91)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:184)
at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
2015-05-21 11:38:03,790 ERROR org.apache.spark.scheduler.EventLoggingListener: Exception in parsing logging info from directory hdfs://my-hadoop/user/spark/applicationHistory/application_1431044565372_12048
java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:765)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:1900)
at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:1885)
at org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:654)
at org.apache.hadoop.hdfs.DistributedFileSystem.access$600(DistributedFileSystem.java:104)
at org.apache.hadoop.hdfs.DistributedFileSystem$14.doCall(DistributedFileSystem.java:716)
at org.apache.hadoop.hdfs.DistributedFileSystem$14.doCall(DistributedFileSystem.java:712)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:712)
at org.apache.spark.scheduler.EventLoggingListener$.parseLoggingInfo(EventLoggingListener.scala:199)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$createReplayBus(FsHistoryProvider.scala:226)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:174)
at org.apache.spark.deploy.history.FsHistoryProvider$$anonfun$5.apply(FsHistoryProvider.scala:172)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
at org.apache.spark.deploy.history.FsHistoryProvider.org$apache$spark$deploy$history$FsHistoryProvider$$checkForLogs(FsHistoryProvider.scala:172)
at org.apache.spark.deploy.history.FsHistoryProvider.initialize(FsHistoryProvider.scala:108)
at org.apache.spark.deploy.history.FsHistoryProvider.<init>(FsHistoryProvider.scala:91)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:184)
at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala)
我尝试将/user/spark/applicationHistory 复制到某个位置并在配置中指定新位置,但这没有用。
知道这里发生了什么吗?
最佳答案
清理“/user/spark/applicationHistory/*”后问题得到解决
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/Downloads/spark-3.0.1-bin-hadoop2.7/bin$ ./spark-shell 20/09/23 10:58:45 WARN Utils: Your hostname,
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TL; 博士 Spark UI 显示的内核和内存数量与我在使用 spark-submit 时要求的数量不同 更多细节: 我在独立模式下运行 Spark 1.6。 当我运行 spark-submit 时
spark-submit 上的文档说明如下: The spark-submit script in Spark’s bin directory is used to launch applicatio
关闭。这个问题是opinion-based .它目前不接受答案。 想改善这个问题吗?更新问题,以便可以通过 editing this post 用事实和引文回答问题. 6 个月前关闭。 Improve
我想了解接收器如何在 Spark Streaming 中工作。根据我的理解,将有一个接收器任务在执行器中运行,用于收集数据并保存为 RDD。当调用 start() 时,接收器开始读取。需要澄清以下内容
有没有办法在不同线程中使用相同的 spark 上下文并行运行多个 spark 作业? 我尝试使用 Vertx 3,但看起来每个作业都在排队并按顺序启动。 如何让它在相同的 spark 上下文中同时运行
我们有一个 Spark 流应用程序,这是一项长期运行的任务。事件日志指向 hdfs 位置 hdfs://spark-history,当我们开始流式传输应用程序时正在其中创建 application_X
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我正在使用 Spark 流。根据 Spark 编程指南(参见 http://spark.apache.org/docs/latest/programming-guide.html#accumulato
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