spark on yarn error

Others 2020-04-13 12:14:17 views: null

When using spark on yarn to run a task, an abnormal error occurred, the error is as follows:

hduser@xxx:/data1/hadoop/spark/bin$ ./spark-shell --master yarn --deploy-mode client
2020-04-13 10:04:25 WARN  NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
2020-04-13 10:10:10 ERROR YarnClientSchedulerBackend:70 - The YARN application has already ended! It might have been killed or the Application Master may have failed to start. Check the YARN application logs for more details.
2020-04-13 10:10:10 ERROR SparkContext:91 - Error initializing SparkContext.
org.apache.spark.SparkException: Application application_1586511331938_0025 failed 2 times due to AM Container for appattempt_1586511331938_0025_000002 exited with  exitCode: 1
For more detailed output, check application tracking page:http://xxx:8088/proxy/application_1586511331938_0025/Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1586511331938_0025_02_000159
Exit code: 1
Stack trace: ExitCodeException exitCode=1: 
    at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
    at org.apache.hadoop.util.Shell.run(Shell.java:455)
    at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
    at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
    at java.util.concurrent.FutureTask.run(FutureTask.java:262)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)


Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:94)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63)
    at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:178)
    at org.apache.spark.SparkContext. <init> (SparkContext.scala: 501 )
    at org.apache.spark.SparkContext $ .getOrCreate (SparkContext.scala: 2520 )
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:935)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:926)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:926)
    at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
    at $line3.$read$$iw$$iw.<init>(<console>:15)
    at $line3.$read$$iw.<init>(<console>:43)
    at $line3.$read.<init>(<console>:45)
    at $line3.$read$.<init>(<console>:49)
    at $line3.$read$.<clinit>(<console>)
    at $line3.$eval$.$print$lzycompute(<console>:7)
    at $line3.$eval$.$print(<console>:6)
    at $line3.$eval.$print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at scala.tools.nsc.interpreter.IMain $ ReadEvalPrint.call (IMain.scala: 793 )
    at scala.tools.nsc.interpreter.IMain $ Request.loadAndRun (IMain.scala: 1054 )
    at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
    at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
    at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
    at scala.tools.nsc.interpreter.IMain.interpret (IMain.scala: 576 )
    at scala.tools.nsc.interpreter.IMain.interpret (IMain.scala: 572 )
    at scala.tools.nsc.interpreter.IMain$$anonfun$quietRun$1.apply(IMain.scala:231)
    at scala.tools.nsc.interpreter.IMain$$anonfun$quietRun$1.apply(IMain.scala:231)
    at scala.tools.nsc.interpreter.IMain.beQuietDuring (IMain.scala: 221 )
    at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:231)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:109)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:109)
    at scala.collection.immutable.List.foreach(List.scala:392)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:109)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:109)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:109)
    at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:91)
    at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:108)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply$mcV$sp(SparkILoop.scala:211)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:199)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:199)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$mumly$1.apply(ILoop.scala:189)
    at scala.tools.nsc.interpreter.IMain.beQuietDuring (IMain.scala: 221 )
    at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:186)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1(SparkILoop.scala:199)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:267)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:247)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.withSuppressedSettings$1(SparkILoop.scala:235)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.startup$1(SparkILoop.scala:247)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:282)
    at org.apache.spark.repl.SparkILoop.runClosure(SparkILoop.scala:159)
    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:182)
    at org.apache.spark.repl.Main$.doMain(Main.scala:78)
    at org.apache.spark.repl.Main$.main(Main.scala:58)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.JavaMainApplication.start (SparkApplication.scala: 52 )
    at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)
    at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
    at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
    at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
    at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
2020-04-13 10:10:10 WARN  YarnSchedulerBackend$YarnSchedulerEndpoint:66 - Attempted to request executors before the AM has registered!
2020-04-13 10:10:11 WARN  MetricsSystem:66 - Stopping a MetricsSystem that is not running
2020-04-13 10:10:11 ERROR Main:91 - Failed to initialize Spark session.
org.apache.spark.SparkException: Application application_1586511331938_0025 failed 2 times due to AM Container for appattempt_1586511331938_0025_000002 exited with  exitCode: 1
For more detailed output, check application tracking page:http://xxx:8088/proxy/application_1586511331938_0025/Then, click on links to logs of each attempt.
Diagnostics: Exception from container-launch.
Container id: container_1586511331938_0025_02_000159
Exit code: 1
Stack trace: ExitCodeException exitCode=1: 
    at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
    at org.apache.hadoop.util.Shell.run(Shell.java:455)
    at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715)
    at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
    at java.util.concurrent.FutureTask.run(FutureTask.java:262)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)


Container exited with a non-zero exit code 1
Failing this attempt. Failing the application.
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:94)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:63)
    at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:178)
    at org.apache.spark.SparkContext. <init> (SparkContext.scala: 501 )
    at org.apache.spark.SparkContext $ .getOrCreate (SparkContext.scala: 2520 )
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:935)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$7.apply(SparkSession.scala:926)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:926)
    at org.apache.spark.repl.Main$.createSparkSession(Main.scala:106)
    at $line3.$read$$iw$$iw.<init>(<console>:15)
    at $line3.$read$$iw.<init>(<console>:43)
    at $line3.$read.<init>(<console>:45)
    at $line3.$read$.<init>(<console>:49)
    at $line3.$read$.<clinit>(<console>)
    at $line3.$eval$.$print$lzycompute(<console>:7)
    at $line3.$eval$.$print(<console>:6)
    at $line3.$eval.$print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at scala.tools.nsc.interpreter.IMain $ ReadEvalPrint.call (IMain.scala: 793 )
    at scala.tools.nsc.interpreter.IMain $ Request.loadAndRun (IMain.scala: 1054 )
    at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:645)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:644)
    at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
    at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
    at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:644)
    at scala.tools.nsc.interpreter.IMain.interpret (IMain.scala: 576 )
    at scala.tools.nsc.interpreter.IMain.interpret (IMain.scala: 572 )
    at scala.tools.nsc.interpreter.IMain$$anonfun$quietRun$1.apply(IMain.scala:231)
    at scala.tools.nsc.interpreter.IMain$$anonfun$quietRun$1.apply(IMain.scala:231)
    at scala.tools.nsc.interpreter.IMain.beQuietDuring (IMain.scala: 221 )
    at scala.tools.nsc.interpreter.IMain.quietRun(IMain.scala:231)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:109)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1$$anonfun$apply$mcV$sp$1.apply(SparkILoop.scala:109)
    at scala.collection.immutable.List.foreach(List.scala:392)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:109)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:109)
    at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:109)
    at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:91)
    at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:108)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply$mcV$sp(SparkILoop.scala:211)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:199)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1$1.apply(SparkILoop.scala:199)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$mumly$1.apply(ILoop.scala:189)
    at scala.tools.nsc.interpreter.IMain.beQuietDuring (IMain.scala: 221 )
    at scala.tools.nsc.interpreter.ILoop.mumly(ILoop.scala:186)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.org$apache$spark$repl$SparkILoop$$anonfun$$loopPostInit$1(SparkILoop.scala:199)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:267)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1$$anonfun$startup$1$1.apply(SparkILoop.scala:247)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.withSuppressedSettings$1(SparkILoop.scala:235)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.startup$1(SparkILoop.scala:247)
    at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:282)
    at org.apache.spark.repl.SparkILoop.runClosure(SparkILoop.scala:159)
    at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:182)
    at org.apache.spark.repl.Main$.doMain(Main.scala:78)
    at org.apache.spark.repl.Main$.main(Main.scala:58)
    at org.apache.spark.repl.Main.main(Main.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.JavaMainApplication.start (SparkApplication.scala: 52 )
    at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)
    at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
    at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
    at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
    at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

analysis:

Through the above analysis, it can be seen that when AM started AM, AM did not start normally, causing spark to fail to run. However, go to yarn 8088 interface to view the saprk task container log, there is no corresponding error log output, suspect it is Since the AM container was not started, there was no container log. Later, when the spark history log was configured, no corresponding error log was found. At the same time, viewing the log of the resourcemanager and nodemanager also did not reveal the specific cause of the task failure.

Cause this problem has been stuck.

According to other blogs on the Internet, the above problems encountered are basically saying that due to insufficient resources of yarn, it is sufficient to close the monitoring of yarn resources, but I am an online cluster, the entire cluster memory, CPU is enough, run mr task Is completely okay.

Finally: The issue of filing an appeal is not necessarily due to insufficient resources.

solve:

Because the hadoop cluster was deployed by previous colleagues, using hadoop2.6.0 and java 1.7, and when deploying spark on yarn, java1.8 was used in the spark environment, so it caused a failure (this does not prompt that the version inconsistency is Really uncomfortable), so when configuring spark on yarn, the java environment variables must be configured the same.

Modify the value of JAVA_HOME in hadoop-env.sh, configure it with a value in spark, and restart yarn at the same time, the problem is solved

 

Reference: https://www.cnblogs.com/braveym/p/8571142.html

 

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