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. >>>> >>>> >>>> >>>> >>>> >>>> >>>> >>>> >>> >>
