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