Re: Spark on Yarn: java.lang.IllegalArgumentException: Invalid rule
The version I'm using was already pre-built for Hadoop 2.3. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-on-Yarn-java-lang-IllegalArgumentException-Invalid-rule-tp21382p21485.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
Re: Spark on Yarn: java.lang.IllegalArgumentException: Invalid rule
Then your spark is not built for yarn. Try to build with sbt/sbt -Dhadoop.version=2.3.0 -Pyarn assembly -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-on-Yarn-java-lang-IllegalArgumentException-Invalid-rule-tp21382p21404.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
Re: Spark on Yarn: java.lang.IllegalArgumentException: Invalid rule
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
Re: Spark on Yarn: java.lang.IllegalArgumentException: Invalid rule
Thanks, Siddardha. I did but got the same error. Kerberos is enabled on my cluster and I may be missing a configuration step somewhere. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-on-Yarn-java-lang-IllegalArgumentException-Invalid-rule-tp21382p21392.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
Re: Spark on Yarn: java.lang.IllegalArgumentException: Invalid rule
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
Spark on Yarn: java.lang.IllegalArgumentException: Invalid rule
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
