Caused by: java.lang.IllegalArgumentException: Invalid rule: L RULE:[2:$1@$0](.*@XXXCOMPANY.COM <http://xxxcompany.com/>)s/(.*)@ XXXCOMPANY.COM/$1/L <http://xxxcompany.com/$1/L> DEFAULT
Can you put the rule on a single line (not sure whether there is newline or space between L and DEFAULT) ? Looks like the characters between the last slash and DEFAULT are extraneous. Cheers On Tue, Jan 27, 2015 at 7:21 AM, Niranjan Reddy <niranja...@gmail.com> wrote: > Thanks, Ted. Kerberos is enabled on the cluster. > > I'm new to the world of kerberos, so pease excuse my ignorance here. Do > you know if there are any additional steps I need to take in addition to > setting HADOOP_CONF_DIR? For instance, does hadoop.security.auth_to_local > require any specific setting (the current setting for this property was set > by the admin)? This cluster has Spark 1.0 installed and I can use it > without any errors. > On Jan 26, 2015 11:38 PM, "Ted Yu" <yuzhih...@gmail.com> wrote: > >> 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 >>> >>> >>
