Spark

1.  序列化編號 本地、遠端不一致 2022-04

描述：

IDEA 中 跑 scala 編寫的 spark程式， 指定master  為 遠端 standlone的主機  -Dspark.master=spark://hc2108:7077,

結果在叢集 程式的日誌中發現這個錯誤

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

本地與 遠端的物件 id不一致

如果打成jar 包，在 standlone所在節點提交，是能夠跑成功的。

網上說， jar包版本，不一致，  將本地、遠端 spark 包保持一致了

 2.  客戶機linux 跑 spark-shell， standlone 主機無法連線客戶機

客戶機 hc2107，執行 spark-shell --master  spark://hc2108:7077  --driver-memory 512m

web 上檢視 提交的spark 程式的日誌，顯示拒絕連線 hc2107。

直接在hc2108機器上可以提交成功。

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://[email protected]: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$AnnotatedConnectException: 拒絕連線: hc2107/192.168.1.13:39947
Caused by: java.net.ConnectException: 拒絕連線
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
    at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
    at io.netty.channel.nio.AbstractNioChannel$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)