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From Maciej Bryński (JIRA) <j...@apache.org>
Subject [jira] [Commented] (SPARK-15343) NoClassDefFoundError when initializing Spark with YARN
Date Mon, 16 May 2016 12:38:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15343?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15284433#comment-15284433
] 

Maciej Bryński commented on SPARK-15343:
----------------------------------------

CC: [~vanzin]


> NoClassDefFoundError when initializing Spark with YARN
> ------------------------------------------------------
>
>                 Key: SPARK-15343
>                 URL: https://issues.apache.org/jira/browse/SPARK-15343
>             Project: Spark
>          Issue Type: Bug
>          Components: YARN
>    Affects Versions: 2.0.0
>            Reporter: Maciej Bryński
>            Priority: Critical
>
> I'm trying to connect Spark 2.0 (compiled from branch-2.0) with Hadoop.
> Spark compiled with:
> {code}
> ./dev/make-distribution.sh -Pyarn -Phadoop-2.6 -Phive -Phive-thriftserver -Dhadoop.version=2.6.0
-DskipTests
> {code}
> I'm getting following error
> {code}
> mbrynski@jupyter:~/spark$ bin/pyspark
> Python 3.4.0 (default, Apr 11 2014, 13:05:11)
> [GCC 4.8.2] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> Warning: Master yarn-client is deprecated since 2.0. Please use master "yarn" with specified
deploy mode instead.
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel).
> 16/05/16 11:54:41 WARN SparkConf: The configuration key 'spark.yarn.jar' has been deprecated
as of Spark 2.0 and may be removed in the future. Please use the new key 'spark.yarn.jars'
instead.
> 16/05/16 11:54:41 WARN NativeCodeLoader: Unable to load native-hadoop library for your
platform... using builtin-java classes where applicable
> 16/05/16 11:54:42 WARN AbstractHandler: No Server set for org.spark_project.jetty.server.handler.ErrorHandler@f7989f6
> 16/05/16 11:54:43 WARN DomainSocketFactory: The short-circuit local reads feature cannot
be used because libhadoop cannot be loaded.
> Traceback (most recent call last):
>   File "/home/mbrynski/spark/python/pyspark/shell.py", line 38, in <module>
>     sc = SparkContext()
>   File "/home/mbrynski/spark/python/pyspark/context.py", line 115, in __init__
>     conf, jsc, profiler_cls)
>   File "/home/mbrynski/spark/python/pyspark/context.py", line 172, in _do_init
>     self._jsc = jsc or self._initialize_context(self._conf._jconf)
>   File "/home/mbrynski/spark/python/pyspark/context.py", line 235, in _initialize_context
>     return self._jvm.JavaSparkContext(jconf)
>   File "/home/mbrynski/spark/python/lib/py4j-0.10.1-src.zip/py4j/java_gateway.py", line
1183, in __call__
>   File "/home/mbrynski/spark/python/lib/py4j-0.10.1-src.zip/py4j/protocol.py", line 312,
in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
> : java.lang.NoClassDefFoundError: com/sun/jersey/api/client/config/ClientConfig
>         at org.apache.hadoop.yarn.client.api.TimelineClient.createTimelineClient(TimelineClient.java:45)
>         at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.serviceInit(YarnClientImpl.java:163)
>         at org.apache.hadoop.service.AbstractService.init(AbstractService.java:163)
>         at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:150)
>         at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
>         at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:148)
>         at org.apache.spark.SparkContext.<init>(SparkContext.scala:502)
>         at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
>         at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
>         at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
>         at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
>         at java.lang.reflect.Constructor.newInstance(Constructor.java:422)
>         at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:240)
>         at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
>         at py4j.Gateway.invoke(Gateway.java:236)
>         at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
>         at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
>         at py4j.GatewayConnection.run(GatewayConnection.java:211)
>         at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.ClassNotFoundException: com.sun.jersey.api.client.config.ClientConfig
>         at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
>         at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
>         at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
>         at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
>         ... 19 more
> {code}
> On 1.6 everything works fine. I'm using HDP2.2 (Hadoop 2.6.0)
> I have HADOOP_CONF_DIR and SPARK_HOME env variables.



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