b0114 数据开发中遗留问题

Spark

1.  序列化编号 本地、远程不一致 2022-04

描述:

IDEA 中 跑 scala 编写的 spark程序, 指定master  为 远程 standlone的主机  -Dspark.master=spark://hc2108:7077,

结果在集群 程序的日志中发现这个错误

local class incompatible: stream classdesc serialVersionUID = 3456489343829468865, local class serialVersionUID = 1028182004549731694

本地与 远程的对象 id不一致

 

如果打成jar 包,在 standlone所在节点提交,是能够跑成功的。

网上说, jar包版本,不一致,  将本地、远程 spark 包保持一致了

 2.  客户机linux 跑 spark-shell, standlone 主机无法连接客户机

客户机 hc2107,执行 spark-shell --master  spark://hc2108:7077  --driver-memory 512m

web 上查看 提交的spark 程序的日志,显示拒绝连接 hc2107。

直接在hc2108机器上可以提交成功。

 

Spark Executor Command: "/opt/jdk1.8.0_301/bin/java" "-cp" "/opt/spark-3.1.2-bin-hadoop3.2/conf/:/opt/spark-3.1.2-bin-hadoop3.2/jars/*:/opt/hadoop-3.3.1/etc/hadoop/" "-Xmx1024M" "-Dspark.driver.port=39947" "org.apache.spark.executor.CoarseGrainedExecutorBackend" "--driver-url" "spark://CoarseGrainedScheduler@hc2107:39947" "--executor-id" "0" "--hostname" "192.168.1.10" "--cores" "2" "--app-id" "app-20220417161816-0010" "--worker-url" "spark://Worker@192.168.1.10:34731"
========================================

2022-04-17 16:18:17,430 INFO executor.CoarseGrainedExecutorBackend: Started daemon with process name: 88790@hc2108
2022-04-17 16:18:17,440 INFO util.SignalUtils: Registering signal handler for TERM
2022-04-17 16:18:17,441 INFO util.SignalUtils: Registering signal handler for HUP
2022-04-17 16:18:17,442 INFO util.SignalUtils: Registering signal handler for INT
2022-04-17 16:18:17,830 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
2022-04-17 16:18:17,931 INFO spark.SecurityManager: Changing view acls to: hadoop
2022-04-17 16:18:17,932 INFO spark.SecurityManager: Changing modify acls to: hadoop
2022-04-17 16:18:17,932 INFO spark.SecurityManager: Changing view acls groups to: 
2022-04-17 16:18:17,933 INFO spark.SecurityManager: Changing modify acls groups to: 
2022-04-17 16:18:17,934 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(hadoop); groups with view permissions: Set(); users  with modify permissions: Set(hadoop); groups with modify permissions: Set()
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1748)
    at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:61)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:393)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:382)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult: 
    at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
    at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
    at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:101)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$9(CoarseGrainedExecutorBackend.scala:413)
    at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23)
    at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:877)
    at scala.collection.immutable.Range.foreach(Range.scala:158)
    at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:876)
    at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$7(CoarseGrainedExecutorBackend.scala:411)
    at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:62)
    at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
    ... 4 more
Caused by: java.io.IOException: Failed to connect to hc2107/192.168.1.13:39947
    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:287)
    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:218)
    at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:230)
    at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
    at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
    at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: 拒绝连接: hc2107/192.168.1.13:39947
Caused by: java.net.ConnectException: 拒绝连接
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
    at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
    at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
    at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:650)
    at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:576)
    at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
    at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
    at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
    at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
    at java.lang.Thread.run(Thread.java:748)
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posted @ 2022-04-17 16:17  sunzebo  阅读(50)  评论(0编辑  收藏  举报