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.
>
>
>
>
>
>
>
>
