apache-spark - Spark/Yarn-连接错误RetryingBlockFetcher尝试从随机端口获取 block

Question

我正在尝试在AWS机器上的 yarn 上设置 Spark 。我的spark.driver.port是32975。我在 yarn 容器日志中看到以下错误。它正在尝试连接到主资源管理器端口35653。我不确定它试图从端口35653获取什么块。有人可以帮忙吗

Spark命令

spark-submit --deploy-mode client --class org.apache.spark.examples.SparkPi $SPARK_HOME/examples/jars/spark-examples_2.11-2.4.4.jar 10

Hadoop版本:3.x
星火版本:2.4.4

2019-12-01 19:09:54,590 ERROR shuffle.RetryingBlockFetcher: Exception while beginning fetch of 1 outstanding blocks java.io.IOException: Connecting to xyz.com/xx.xx.xx.xx:35653 timed out (120000 ms) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:243) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187) at org.apache.spark.network.netty.NettyBlockTransferService$$anon$2.createAndStart(NettyBlockTransferService.scala:114) at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:141) at org.apache.spark.network.shuffle.RetryingBlockFetcher.start(RetryingBlockFetcher.java:121) at org.apache.spark.network.netty.NettyBlockTransferService.fetchBlocks(NettyBlockTransferService.scala:124) at org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:98) at org.apache.spark.storage.BlockManager.getRemoteBytes(BlockManager.scala:757) at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:162) at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:151) at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:151) at scala.collection.immutable.List.foreach(List.scala:392) at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:151) at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1$$anonfun$apply$2.apply(TorrentBroadcast.scala:231) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:211) at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1326) at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:207) at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66) at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66) at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96) at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:84) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)

Answer 1

请检查hadoop / yarn 是否在工作。
您应该首先启动hadoop，然后仅通过在终端中执行jps来检查hadoop是否正在运行。

hadoop start-all.sh
jps