Looks like Kerberos was enabled for your cluster. Can you check the config files under HADOOP_CONF_DIR ?
Cheers On Mon, Jan 26, 2015 at 8:17 PM, maven <niranja...@gmail.com> wrote: > All, > > I recently try to build 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/Spark-on-Yarn-java-lang-IllegalArgumentException-Invalid-rule-tp21382.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
