Sean,

Thanks for your response. My MapReduce and Spark 1.0 (prepackaged in CDH5)
jobs are running fine. It's only Spark1.2 jobs that I'm unable to run

NR
On Dec 19, 2014 5:03 AM, "Sean Owen" <so...@cloudera.com> wrote:

> You've got Kerberos enabled, and it's complaining that it YARN doesn't
> like the Kerberos config. Have you verified this should be otherwise
> working, sans Spark?
>
> On Fri, Dec 19, 2014 at 3:50 AM, maven <niranja...@gmail.com> wrote:
> > All,
> >
> > I just built Spark-1.2 on my enterprise server (which has Hadoop 2.3 with
> > YARN). Here're the steps I followed for the build:
> >
> > $ mvn -Pyarn -Phadoop-2.3 -Dhadoop.version=2.3.0 -DskipTests clean
> package
> > $ export SPARK_HOME=/path/to/spark/folder
> > $ export HADOOP_CONF_DIR=/etc/hadoop/conf
> >
> > However, when I try to work with this installation either locally or on
> > YARN, I get the following error:
> >
> > Exception in thread "main" java.lang.ExceptionInInitializerError
> >         at
> > org.apache.spark.util.Utils$.getSparkOrYarnConfig(Utils.scala:1784)
> >         at
> > org.apache.spark.storage.BlockManager.<init>(BlockManager.scala:105)
> >         at
> > org.apache.spark.storage.BlockManager.<init>(BlockManager.scala:180)
> >         at org.apache.spark.SparkEnv$.create(SparkEnv.scala:292)
> >         at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:159)
> >         at org.apache.spark.SparkContext.<init>(SparkContext.scala:232)
> >         at water.MyDriver$.main(MyDriver.scala:19)
> >         at water.MyDriver.main(MyDriver.scala)
> >         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> >         at
> >
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> >         at
> >
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> >         at java.lang.reflect.Method.invoke(Method.java:606)
> >         at
> > org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:360)
> >         at
> org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
> >         at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> > Caused by: org.apache.spark.SparkException: Unable to load YARN support
> >         at
> >
> org.apache.spark.deploy.SparkHadoopUtil$.liftedTree1$1(SparkHadoopUtil.scala:199)
> >         at
> >
> org.apache.spark.deploy.SparkHadoopUtil$.<init>(SparkHadoopUtil.scala:194)
> >         at
> > org.apache.spark.deploy.SparkHadoopUtil$.<clinit>(SparkHadoopUtil.scala)
> >         ... 15 more
> > Caused by: java.lang.IllegalArgumentException: Invalid rule: L
> > RULE:[2:$1@$0](.*@XXXCOMPANY.COM)s/(.*)@XXXCOMPANY.COM/$1/L
> > DEFAULT
> >         at
> >
> org.apache.hadoop.security.authentication.util.KerberosName.parseRules(KerberosName.java:321)
> >         at
> >
> org.apache.hadoop.security.authentication.util.KerberosName.setRules(KerberosName.java:386)
> >         at
> >
> org.apache.hadoop.security.HadoopKerberosName.setConfiguration(HadoopKerberosName.java:75)
> >         at
> >
> org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:247)
> >         at
> >
> org.apache.hadoop.security.UserGroupInformation.setConfiguration(UserGroupInformation.java:283)
> >         at
> > org.apache.spark.deploy.SparkHadoopUtil.<init>(SparkHadoopUtil.scala:43)
> >         at
> >
> org.apache.spark.deploy.yarn.YarnSparkHadoopUtil.<init>(YarnSparkHadoopUtil.scala:45)
> >         at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native
> > Method)
> >         at
> >
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
> >         at
> >
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> >         at
> java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> >         at java.lang.Class.newInstance(Class.java:374)
> >         at
> >
> org.apache.spark.deploy.SparkHadoopUtil$.liftedTree1$1(SparkHadoopUtil.scala:196)
> >         ... 17 more
> >
> > I noticed that when I unset HADOOP_CONF_DIR, I'm able to work in the
> local
> > mode without any errors. I'm able to work with pre-installed Spark 1.0,
> > locally and on yarn, without any issues. It looks like I may be missing a
> > configuration step somewhere. Any thoughts on what may be causing this?
> >
> > NR
> >
> >
> >
> > --
> > View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/java-lang-ExceptionInInitializerError-Unable-to-load-YARN-support-tp20775.html
> > Sent from the Apache Spark User List mailing list archive at Nabble.com.
> >
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>

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