It's a known issue in EMR. Not only EMR, you will meet this error in HDP as
well. To enable yarn timeline service, you need to resolve these package
dependency conflict.

hubert stefani <hubert_stef...@yahoo.fr> 于2019年1月28日周一 下午10:34写道:

>
> Hi,
>     It seems that when we activate the property  hereunder , the spark
> build job fails. Have you noticed such behaviour ? Should I open an issue
> on Jira ?
>
> *Context : *
> Kylin             : v2.6
> AWS             : EMR 5.18
>
> *Property : *
> kylin.engine.spark-conf.spark.hadoop.yarn.timeline-service.enabled
>
> *Error Log : *
> 2019-01-28 10:50:36,384 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> : 2019-01-28 10:50:36 WARN  SparkConf:66 - The configuration key
> 'spark.yarn.executor.memoryOverhead' has been deprecated as of Spark 2.3
> and may be removed in the future. Please use the new key
> 'spark.executor.memoryOverhead' instead.
> 2019-01-28 10:50:37,732 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> : Exception in thread "main" java.lang.NoClassDefFoundError:
> com/sun/jersey/api/client/config/ClientConfig
> 2019-01-28 10:50:37,733 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.hadoop.yarn.client.api.TimelineClient.createTimelineClient(TimelineClient.java:55)
> 2019-01-28 10:50:37,733 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.createTimelineClient(YarnClientImpl.java:181)
> 2019-01-28 10:50:37,733 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceInit(YarnClientImpl.java:168)
> 2019-01-28 10:50:37,733 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
> 2019-01-28 10:50:37,733 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:151)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at org.apache.spark.deploy.yarn.Client.run(Client.scala:1152)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.spark.deploy.yarn.YarnClusterApplication.start(Client.scala:1520)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:894)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
> 2019-01-28 10:50:37,734 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> 2019-01-28 10:50:37,735 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> : Caused by: java.lang.ClassNotFoundException:
> com.sun.jersey.api.client.config.ClientConfig
> 2019-01-28 10:50:37,735 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
> 2019-01-28 10:50:37,735 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
> 2019-01-28 10:50:37,735 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
> 2019-01-28 10:50:37,735 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
> 2019-01-28 10:50:37,735 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> :     ... 12 more
> 2019-01-28 10:50:37,737 INFO  [pool-13-thread-1] spark.SparkExecutable:38
> : 2019-01-28 10:50:37 INFO  ShutdownHookManager:54 - Shutdown hook called
>
> Hubert
>


-- 
Best regards,

Kaige Liu(刘凯歌)

*"Do small things with great love." *

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