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