具體報錯如下:

java.lang.RuntimeException: master is set as yarn, but spark.submit.deployMode is not specifiedat org.apache.zeppelin.interpreter.launcher.SparkInterpreterLauncher.getDeployMode(SparkInterpreterLauncher.java:345)at org.apache.zeppelin.interpreter.launcher.SparkInterpreterLauncher.buildEnvFromProperties(SparkInterpreterLauncher.java:76)at org.apache.zeppelin.interpreter.launcher.StandardInterpreterLauncher.launch(StandardInterpreterLauncher.java:87)at org.apache.zeppelin.interpreter.InterpreterSetting.createInterpreterProcess(InterpreterSetting.java:847)at org.apache.zeppelin.interpreter.ManagedInterpreterGroup.getOrCreateInterpreterProcess(ManagedInterpreterGroup.java:63)at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.getOrCreateInterpreterProcess(RemoteInterpreter.java:110)at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.internal_create(RemoteInterpreter.java:163)at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.open(RemoteInterpreter.java:131)at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.getFormType(RemoteInterpreter.java:298)at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:431)at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:74)at org.apache.zeppelin.scheduler.Job.run(Job.java:172)at org.apache.zeppelin.scheduler.AbstractScheduler.runJob(AbstractScheduler.java:130)at org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:159)at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)at java.util.concurrent.FutureTask.run(FutureTask.java:266)at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)at java.lang.Thread.run(Thread.java:748)

解決方案:

export MASTER=yarn

改成:

export MASTER=yarn-client ??

然后重啟zeppelin

總結(jié)

以上是生活随笔為你收集整理的zeppelin报错master is set as yarn, but spark.submit.deployMode is not specified的全部內(nèi)容，希望文章能夠幫你解決所遇到的問題。

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