Hi, I am facing some issues while running zeppelin spark interpreter in the yarn client mode. I get the following error in the zeppelin-interpreter-spark*.log:
ERROR [2015-06-25 22:17:56,374] ({pool-1-thread-4} ProcessFunction.java[process]:41) - Internal error processing getProgress org.apache.zeppelin.interpreter.InterpreterException: java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation at org.apache.zeppelin.interpreter.ClassloaderInterpreter.open(ClassloaderInterpreter.java:75) at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:68) at org.apache.zeppelin.interpreter.LazyOpenInterpreter.getProgress(LazyOpenInterpreter.java:109) at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer.getProgress(RemoteInterpreterServer.java:299) at org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Processor$getProgress.getResult(RemoteInterpreterService.java:938) at org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Processor$getProgress.getResult(RemoteInterpreterService.java:923) at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39) at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39) at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:206) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:744) Caused by: java.lang.UnsupportedOperationException: Not implemented by the TFS FileSystem implementation at org.apache.hadoop.fs.FileSystem.getScheme(FileSystem.java:216) at org.apache.hadoop.fs.FileSystem.loadFileSystems(FileSystem.java:2564) at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2574) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2591) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2630) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:169) at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:216) at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:384) at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:102) at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:58) at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:141) at org.apache.spark.SparkContext.<init>(SparkContext.scala:381) at org.apache.zeppelin.spark.SparkInterpreter.createSparkContext(SparkInterpreter.java:276) at org.apache.zeppelin.spark.SparkInterpreter.getSparkContext(SparkInterpreter.java:149) at org.apache.zeppelin.spark.SparkInterpreter.open(SparkInterpreter.java:398) at org.apache.zeppelin.interpreter.ClassloaderInterpreter.open(ClassloaderInterpreter.java:73) ... 11 more Im running the interpreter in yarn-client mode. Here is the command i used to build the zeppelin jar: mvn clean install -DskipTests -Pspark-1.3 -Dspark.version=1.3.1 -Phadoop-2.6 -Pyarn Here is my conf/interpreter.json (spark section): > "spark.yarn.access.namenodes": > "hdfs://namenode1.snc1:8032,hdfs://namenode2.snc1:8032", > "master": "yarn-client", > "zeppelin.spark.maxResult": "1000", > "zeppelin.dep.localrepo": "local-repo", > "spark.app.name": "Zeppelin-umehta", > "spark.yarn.queue": "public", > "spark.executor.memory": "512m", > "zeppelin.spark.useHiveContext": "true", > "zeppelin.spark.concurrentSQL": "false", > "spark.home": "/path/to/spark-1.3" > And heres my conf/zeppelin-env > export HADOOP_CONF_DIR=/etc/hadoop/conf > export ZEPPELIN_PORT=10008 > export ZEPPELIN_JAVA_OPTS="-Dhdp.version=2.2.0.0-2041" > export > ZEPPELIN_INTERPRETER_DIR=/home/umehta/zeppelin-0.6.0-incubating-SNAPSHOT/interpreter > export > ZEPPELIN_INTERPRETERS=org.apache.zeppelin.spark.SparkInterpreter,org.apache.zeppelin.spark.PySparkInterpreter,org.apache.zeppelin.spark.SparkSqlInterpreter,org.apache.zeppelin.spark.DepInterpreter,org.apache.zeppelin.markdown.Markdown,org.apache.zeppelin.shell.ShellInterpreter,org.apache.zeppelin.hive.HiveInterpreter > > Im using hdp 2.2.0.0-2041 on my cluster. Does anyone have any insights on this? Thanks in advance, Udit