Hi Moon, Great, I am keen to see Zeppelin-2040 resolved soon. But meanwhile is there any workaround?
Thanks. Sofiane El El mié, 3 may 2017 a las 20:40, moon soo Lee <m...@apache.org> escribió: > Zeppelin don't need to be installed in every workers. > You can think the way SparkInterpreter in Zeppelin work is very similar to > spark-shell (which works in client mode), until ZEPPELIN-2040 is resolved. > > Therefore, if spark-shell works in a machine with your standalone cluster, > Zeppelin will work in the same machine with the standalone cluster. > > Thanks, > moon > > On Wed, May 3, 2017 at 2:28 PM Sofiane Cherchalli <sofian...@gmail.com> > wrote: > >> Hi Moon, >> >> So in my case, if II have standalone or yarn cluster, the workaround >> would be to install zeppelin along every worker, proxy them, and run each >> zeppelin in client mode ? >> >> Thanks, >> Sofiane >> >> El El mié, 3 may 2017 a las 19:12, moon soo Lee <m...@apache.org> >> escribió: >> >>> Hi, >>> >>> Zeppelin does not support cluster mode deploy at the moment. >>> Fortunately, there will be a support for cluster mode, soon! >>> Please keep an eye on >>> https://issues.apache.org/jira/browse/ZEPPELIN-2040. >>> >>> Thanks, >>> moon >>> >>> On Wed, May 3, 2017 at 11:00 AM Sofiane Cherchalli <sofian...@gmail.com> >>> wrote: >>> >>>> Shall I configure a remote interpreter to my notebook to run on the >>>> worker? >>>> >>>> Mayday! >>>> >>>> On Wed, May 3, 2017 at 4:18 PM, Sofiane Cherchalli <sofian...@gmail.com >>>> > wrote: >>>> >>>>> What port does the remote interpreter use? >>>>> >>>>> On Wed, May 3, 2017 at 2:14 PM, Sofiane Cherchalli < >>>>> sofian...@gmail.com> wrote: >>>>> >>>>>> Hi Moon and al, >>>>>> >>>>>> I have a standalone cluster with one master, one worker. I submit >>>>>> jobs through zeppelin. master, worker, and zeppelin run in a separate >>>>>> container. >>>>>> >>>>>> My zeppelin-env.sh: >>>>>> >>>>>> # spark home >>>>>> export SPARK_HOME=/usr/local/spark >>>>>> >>>>>> # set hadoop conf dir >>>>>> export HADOOP_CONF_DIR=/opt/hadoop-2.7.3/etc/hadoop >>>>>> >>>>>> # set options to pass spark-submit command >>>>>> export SPARK_SUBMIT_OPTIONS="--packages >>>>>> com.databricks:spark-csv_2.11:1.5.0 --deploy-mode cluster" >>>>>> >>>>>> # worker memory >>>>>> export ZEPPELIN_JAVA_OPTS="-Dspark.driver.memory=7g >>>>>> -Dspark.submit.deployMode=cluster" >>>>>> >>>>>> # master >>>>>> export MASTER="spark://<master>:7077" >>>>>> >>>>>> My notebook code is very simple. It read csv and write it again in >>>>>> directory /data previously created: >>>>>> %spark.pyspark >>>>>> def read_input(fin): >>>>>> ''' >>>>>> Read input file from filesystem and return dataframe >>>>>> ''' >>>>>> df = sqlContext.read.load(fin, format='com.databricks.spark.csv', >>>>>> mode='PERMISSIVE', header='false', inferSchema='true') >>>>>> return df >>>>>> >>>>>> def write_output(df, fout): >>>>>> ''' >>>>>> Write dataframe to filesystem >>>>>> ''' >>>>>> >>>>>> df.write.mode('overwrite').format('com.databricks.spark.csv').options(delimiter=',', >>>>>> header='true').save(fout) >>>>>> >>>>>> data_in = '/data/01.csv' >>>>>> data_out = '/data/02.csv' >>>>>> df = read_input(data_in) >>>>>> newdf = del_columns(df) >>>>>> write_output(newdf, data_out) >>>>>> >>>>>> >>>>>> I used --deploy-mode to *cluster* so that the driver is run in the >>>>>> worker in order to read the CSV in the /data directory and not in >>>>>> zeppelin. >>>>>> When running the notebook it complains that >>>>>> /opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar is >>>>>> missing: >>>>>> org.apache.zeppelin.interpreter.InterpreterException: Ivy Default >>>>>> Cache set to: /root/.ivy2/cache The jars for the packages stored in: >>>>>> /root/.ivy2/jars :: loading settings :: url = >>>>>> jar:file:/opt/spark-2.1.0/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml >>>>>> com.databricks#spark-csv_2.11 added as a dependency :: resolving >>>>>> dependencies :: org.apache.spark#spark-submit-parent;1.0 confs: [default] >>>>>> found com.databricks#spark-csv_2.11;1.5.0 in central found >>>>>> org.apache.commons#commons-csv;1.1 in central found >>>>>> com.univocity#univocity-parsers;1.5.1 in central :: resolution report :: >>>>>> resolve 310ms :: artifacts dl 6ms :: modules in use: >>>>>> com.databricks#spark-csv_2.11;1.5.0 from central in [default] >>>>>> com.univocity#univocity-parsers;1.5.1 from central in [default] >>>>>> org.apache.commons#commons-csv;1.1 from central in [default] >>>>>> --------------------------------------------------------------------- | | >>>>>> modules || artifacts | | conf | number| search|dwnlded|evicted|| >>>>>> number|dwnlded| >>>>>> --------------------------------------------------------------------- | >>>>>> default | 3 | 0 | 0 | 0 || 3 | 0 | >>>>>> --------------------------------------------------------------------- :: >>>>>> retrieving :: org.apache.spark#spark-submit-parent confs: [default] 0 >>>>>> artifacts copied, 3 already retrieved (0kB/8ms) Running Spark using the >>>>>> REST application submission protocol. SLF4J: Class path contains multiple >>>>>> SLF4J bindings. SLF4J: Found binding in >>>>>> [jar:file:/opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/opt/zeppelin-0.7.1/lib/interpreter/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/opt/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >>>>>> explanation. SLF4J: Actual binding is of type >>>>>> [org.slf4j.impl.Log4jLoggerFactory] Warning: Master endpoint >>>>>> spark://spark-drone-master-sofiane.autoetl.svc.cluster.local:7077 was >>>>>> not a >>>>>> REST server. Falling back to legacy submission gateway instead. Ivy >>>>>> Default >>>>>> Cache set to: /root/.ivy2/cache The jars for the packages stored in: >>>>>> /root/.ivy2/jars com.databricks#spark-csv_2.11 added as a dependency :: >>>>>> resolving dependencies :: org.apache.spark#spark-submit-parent;1.0 confs: >>>>>> [default] found com.databricks#spark-csv_2.11;1.5.0 in central found >>>>>> org.apache.commons#commons-csv;1.1 in central found >>>>>> com.univocity#univocity-parsers;1.5.1 in central :: resolution report :: >>>>>> resolve 69ms :: artifacts dl 5ms :: modules in use: >>>>>> com.databricks#spark-csv_2.11;1.5.0 from central in [default] >>>>>> com.univocity#univocity-parsers;1.5.1 from central in [default] >>>>>> org.apache.commons#commons-csv;1.1 from central in [default] >>>>>> --------------------------------------------------------------------- | | >>>>>> modules || artifacts | | conf | number| search|dwnlded|evicted|| >>>>>> number|dwnlded| >>>>>> --------------------------------------------------------------------- | >>>>>> default | 3 | 0 | 0 | 0 || 3 | 0 | >>>>>> --------------------------------------------------------------------- :: >>>>>> retrieving :: org.apache.spark#spark-submit-parent confs: [default] 0 >>>>>> artifacts copied, 3 already retrieved (0kB/4ms) >>>>>> java.nio.file.NoSuchFileException: >>>>>> /opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar at >>>>>> sun.nio.fs.UnixException.translateToIOException(UnixException.java:86) at >>>>>> sun.nio.fs.UnixException.rethrowAsIOException(UnixException.java:102) >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> So, what I did next is copy the >>>>>> /opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar >>>>>> in the worker container and restarted the interpreter and run the >>>>>> notebook. >>>>>> It doesn't complain anymore about the zeppelin-spark_2.11-0.7.1.jar, >>>>>> but I got another exception in the notebook related to the >>>>>> RemoteInterpreterManagedProcess: >>>>>> >>>>>> org.apache.zeppelin.interpreter.InterpreterException: Ivy Default >>>>>> Cache set to: /root/.ivy2/cache The jars for the packages stored in: >>>>>> /root/.ivy2/jars :: loading settings :: url = >>>>>> jar:file:/opt/spark-2.1.0/jars/ivy-2.4.0.jar!/org/apache/ivy/core/settings/ivysettings.xml >>>>>> com.databricks#spark-csv_2.11 added as a dependency :: resolving >>>>>> dependencies :: org.apache.spark#spark-submit-parent;1.0 confs: [default] >>>>>> found com.databricks#spark-csv_2.11;1.5.0 in central found >>>>>> org.apache.commons#commons-csv;1.1 in central found >>>>>> com.univocity#univocity-parsers;1.5.1 in central :: resolution report :: >>>>>> resolve 277ms :: artifacts dl 7ms :: modules in use: >>>>>> com.databricks#spark-csv_2.11;1.5.0 from central in [default] >>>>>> com.univocity#univocity-parsers;1.5.1 from central in [default] >>>>>> org.apache.commons#commons-csv;1.1 from central in [default] >>>>>> --------------------------------------------------------------------- | | >>>>>> modules || artifacts | | conf | number| search|dwnlded|evicted|| >>>>>> number|dwnlded| >>>>>> --------------------------------------------------------------------- | >>>>>> default | 3 | 0 | 0 | 0 || 3 | 0 | >>>>>> --------------------------------------------------------------------- :: >>>>>> retrieving :: org.apache.spark#spark-submit-parent confs: [default] 0 >>>>>> artifacts copied, 3 already retrieved (0kB/8ms) Running Spark using the >>>>>> REST application submission protocol. SLF4J: Class path contains multiple >>>>>> SLF4J bindings. SLF4J: Found binding in >>>>>> [jar:file:/opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/opt/zeppelin-0.7.1/lib/interpreter/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/opt/hadoop-2.7.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >>>>>> explanation. SLF4J: Actual binding is of type >>>>>> [org.slf4j.impl.Log4jLoggerFactory] Warning: Master endpoint >>>>>> spark://spark-drone-master-sofiane.autoetl.svc.cluster.local:7077 was >>>>>> not a >>>>>> REST server. Falling back to legacy submission gateway instead. Ivy >>>>>> Default >>>>>> Cache set to: /root/.ivy2/cache The jars for the packages stored in: >>>>>> /root/.ivy2/jars com.databricks#spark-csv_2.11 added as a dependency :: >>>>>> resolving dependencies :: org.apache.spark#spark-submit-parent;1.0 confs: >>>>>> [default] found com.databricks#spark-csv_2.11;1.5.0 in central found >>>>>> org.apache.commons#commons-csv;1.1 in central found >>>>>> com.univocity#univocity-parsers;1.5.1 in central :: resolution report :: >>>>>> resolve 66ms :: artifacts dl 5ms :: modules in use: >>>>>> com.databricks#spark-csv_2.11;1.5.0 from central in [default] >>>>>> com.univocity#univocity-parsers;1.5.1 from central in [default] >>>>>> org.apache.commons#commons-csv;1.1 from central in [default] >>>>>> --------------------------------------------------------------------- | | >>>>>> modules || artifacts | | conf | number| search|dwnlded|evicted|| >>>>>> number|dwnlded| >>>>>> --------------------------------------------------------------------- | >>>>>> default | 3 | 0 | 0 | 0 || 3 | 0 | >>>>>> --------------------------------------------------------------------- :: >>>>>> retrieving :: org.apache.spark#spark-submit-parent confs: [default] 0 >>>>>> artifacts copied, 3 already retrieved (0kB/4ms) at >>>>>> org.apache.zeppelin.interpreter.remote.RemoteInterpreterManagedProcess.start(RemoteInterpreterManagedProcess.java:143) >>>>>> at >>>>>> org.apache.zeppelin.interpreter.remote.RemoteInterpreterProcess.reference(RemoteInterpreterProcess.java:73) >>>>>> at >>>>>> org.apache.zeppelin.interpreter.remote.RemoteInterpreter.open(RemoteInterpreter.java:258) >>>>>> at >>>>>> org.apache.zeppelin.interpreter.remote.RemoteInterpreter.getFormType(RemoteInterpreter.java:423) >>>>>> at >>>>>> org.apache.zeppelin.interpreter.LazyOpenInterpreter.getFormType(LazyOpenInterpreter.java:106) >>>>>> at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:387) at >>>>>> org.apache.zeppelin.scheduler.Job.run(Job.java:175) at >>>>>> org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:329) >>>>>> at >>>>>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) >>>>>> at java.util.concurrent.FutureTask.run(FutureTask.java:266) at >>>>>> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) >>>>>> at >>>>>> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) >>>>>> at >>>>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) >>>>>> at >>>>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) >>>>>> at java.lang.Thread.run(Thread.java:745) >>>>>> >>>>>> >>>>>> >>>>>> In the Spark jobs I see a >>>>>> org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer >>>>>> running, and the stderr logs complains about missing log4j.properties: >>>>>> >>>>>> Launch Command: "/usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java" "-cp" >>>>>> "/opt/zeppelin-0.7.1/interpreter/spark/*:/opt/zeppelin-0.7.1/lib/interpreter/*:/opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar:/usr/local/spark/conf/:/usr/local/spark/jars/*:/opt/hadoop-2.7.3/etc/hadoop:/opt/hadoop-2.7.3/etc/hadoop/*:/opt/hadoop-2.7.3/share/hadoop/common/lib/*:/opt/hadoop-2.7.3/share/hadoop/common/*:/opt/hadoop-2.7.3/share/hadoop/hdfs/*:/opt/hadoop-2.7.3/share/hadoop/hdfs/lib/*:/opt/hadoop-2.7.3/share/hadoop/hdfs/*:/opt/hadoop-2.7.3/share/hadoop/yarn/lib/*:/opt/hadoop-2.7.3/share/hadoop/yarn/*:/opt/hadoop-2.7.3/share/hadoop/mapreduce/lib/*:/opt/hadoop-2.7.3/share/hadoop/mapreduce/*:/opt/hadoop-2.7.3/share/hadoop/tools/lib/*" >>>>>> "-Xmx1024M" >>>>>> "-Dspark.jars=file:/root/.ivy2/jars/com.databricks_spark-csv_2.11-1.5.0.jar,file:/root/.ivy2/jars/org.apache.commons_commons-csv-1.1.jar,file:/root/.ivy2/jars/com.univocity_univocity-parsers-1.5.1.jar,file:/root/.ivy2/jars/com.databricks_spark-csv_2.11-1.5.0.jar,file:/root/.ivy2/jars/org.apache.commons_commons-csv-1.1.jar,file:/root/.ivy2/jars/com.univocity_univocity-parsers-1.5.1.jar,file:/opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar" >>>>>> "-Dspark.driver.supervise=false" "-Dspark.driver.extraJavaOptions= >>>>>> -Dfile.encoding=UTF-8 >>>>>> -Dlog4j.configuration=file:///opt/zeppelin-0.7.1/conf/log4j.properties >>>>>> -Dzeppelin.log.file=/opt/zeppelin-0.7.1/logs/zeppelin-interpreter-spark--zeppelin-sofiane-1-zyfya.log" >>>>>> >>>>>> "-Dspark.app.name=org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer" >>>>>> "-Dspark.submit.deployMode=cluster" >>>>>> "-Dspark.master=spark://spark-drone-master-sofiane.autoetl.svc.cluster.local:7077" >>>>>> >>>>>> "-Dspark.driver.extraClassPath=::/opt/zeppelin-0.7.1/interpreter/spark/*:/opt/zeppelin-0.7.1/lib/interpreter/*::/opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar" >>>>>> "-Dspark.rpc.askTimeout=10s" "-Dfile.encoding=UTF-8" >>>>>> "-Dlog4j.configuration=file:///opt/zeppelin-0.7.1/conf/log4j.properties" >>>>>> "-Dzeppelin.log.file=/opt/zeppelin-0.7.1/logs/zeppelin-interpreter-spark--zeppelin-sofiane-1-zyfya.log" >>>>>> "org.apache.spark.deploy.worker.DriverWrapper" >>>>>> "spark://Worker@172.30.102.7:41417" >>>>>> "/usr/local/spark/work/driver-20170503115405-0036/zeppelin-spark_2.11-0.7.1.jar" >>>>>> "org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer" "46151" >>>>>> ======================================== >>>>>> >>>>>> SLF4J: Class path contains multiple SLF4J bindings. >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/opt/zeppelin-0.7.1/interpreter/spark/zeppelin-spark_2.11-0.7.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: Found binding in >>>>>> [jar:file:/usr/local/spark/jars/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >>>>>> explanation. >>>>>> SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >>>>>> log4j:ERROR Could not read configuration file from URL >>>>>> [file:/opt/zeppelin-0.7.1/conf/log4j.properties]. >>>>>> java.io.FileNotFoundException: /opt/zeppelin-0.7.1/conf/log4j.properties >>>>>> (No such file or directory) >>>>>> at java.io.FileInputStream.open0(Native Method) >>>>>> at java.io.FileInputStream.open(FileInputStream.java:195) >>>>>> at java.io.FileInputStream.<init>(FileInputStream.java:138) >>>>>> at java.io.FileInputStream.<init>(FileInputStream.java:93) >>>>>> at >>>>>> sun.net.www.protocol.file.FileURLConnection.connect(FileURLConnection.java:90) >>>>>> at >>>>>> sun.net.www.protocol.file.FileURLConnection.getInputStream(FileURLConnection.java:188) >>>>>> at >>>>>> org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:557) >>>>>> at >>>>>> org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526) >>>>>> at org.apache.log4j.LogManager.<clinit>(LogManager.java:127) >>>>>> at >>>>>> org.slf4j.impl.Log4jLoggerFactory.getLogger(Log4jLoggerFactory.java:64) >>>>>> at org.slf4j.LoggerFactory.getLogger(LoggerFactory.java:285) >>>>>> at >>>>>> org.apache.commons.logging.impl.SLF4JLogFactory.getInstance(SLF4JLogFactory.java:155) >>>>>> at >>>>>> org.apache.commons.logging.impl.SLF4JLogFactory.getInstance(SLF4JLogFactory.java:132) >>>>>> at org.apache.commons.logging.LogFactory.getLog(LogFactory.java:685) >>>>>> at >>>>>> org.apache.hadoop.security.UserGroupInformation.<clinit>(UserGroupInformation.java:85) >>>>>> at >>>>>> org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2373) >>>>>> at >>>>>> org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2373) >>>>>> at scala.Option.getOrElse(Option.scala:121) >>>>>> at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2373) >>>>>> at org.apache.spark.SecurityManager.<init>(SecurityManager.scala:221) >>>>>> at >>>>>> org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:42) >>>>>> at >>>>>> org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala) >>>>>> log4j:ERROR Ignoring configuration file >>>>>> [file:/opt/zeppelin-0.7.1/conf/log4j.properties]. >>>>>> log4j:WARN No appenders could be found for logger >>>>>> (org.apache.hadoop.metrics2.lib.MutableMetricsFactory). >>>>>> log4j:WARN Please initialize the log4j system properly. >>>>>> log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for >>>>>> more info. >>>>>> Using Spark's default log4j profile: >>>>>> org/apache/spark/log4j-defaults.properties >>>>>> 17/05/03 11:54:06 INFO SecurityManager: Changing view acls to: root >>>>>> 17/05/03 11:54:06 INFO SecurityManager: Changing modify acls to: root >>>>>> 17/05/03 11:54:06 INFO SecurityManager: Changing view acls groups to: >>>>>> 17/05/03 11:54:06 INFO SecurityManager: Changing modify acls groups to: >>>>>> 17/05/03 11:54:06 INFO SecurityManager: SecurityManager: authentication >>>>>> disabled; ui acls disabled; users with view permissions: Set(root); >>>>>> groups with view permissions: Set(); users with modify permissions: >>>>>> Set(root); groups with modify permissions: Set() >>>>>> 17/05/03 11:54:07 INFO Utils: Successfully started service 'Driver' on >>>>>> port 39770. >>>>>> 17/05/03 11:54:07 INFO WorkerWatcher: Connecting to worker >>>>>> spark://Worker@172.30.102.7:41417 >>>>>> 17/05/03 11:54:07 INFO TransportClientFactory: Successfully created >>>>>> connection to /172.30.102.7:41417 after 27 ms (0 ms spent in bootstraps) >>>>>> 17/05/03 11:54:07 INFO WorkerWatcher: Successfully connected to >>>>>> spark://Worker@172.30.102.7:41417 >>>>>> 17/05/03 11:54:07 INFO RemoteInterpreterServer: Starting remote >>>>>> interpreter server on port 46151 >>>>>> >>>>>> >>>>>> The process never finishes, so I got to kill it... >>>>>> >>>>>> What's going on? Anything wrong with my configuration? >>>>>> >>>>>> Any help appreciated. I am struggling since a week. >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> >>>>> >>>>
