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Posted to dev@toree.apache.org by "Yuri Bakumenko (JIRA)" <ji...@apache.org> on 2016/12/16 18:19:58 UTC
[jira] [Comment Edited] (TOREE-354) Scala Error with Apache Spark
when run in Jupyter
[ https://issues.apache.org/jira/browse/TOREE-354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15755138#comment-15755138 ]
Yuri Bakumenko edited comment on TOREE-354 at 12/16/16 6:19 PM:
----------------------------------------------------------------
As [~lbustelo] mentioned at [TOREE-336], to use the non default version of scala/spark you need to build it from source. To specify specific version of scala/spark you need/use - check my comment at [TOREE-336], but basically add the param your make run.
was (Author: yuri.bakumenko):
@willem, as [~lbustelo] mentioned at [TOREE-336], to use the non default version of scala/spark you need to build it from source. To specify specific version of scala/spark you need/use - check my comment at [TOREE-336].
> Scala Error with Apache Spark when run in Jupyter
> -------------------------------------------------
>
> Key: TOREE-354
> URL: https://issues.apache.org/jira/browse/TOREE-354
> Project: TOREE
> Issue Type: Bug
> Affects Versions: 0.1.0
> Environment: Apache Spark 2.0.2
> Scala 2.11(Built with Apache Spark by default)
> Reporter: Ming Yu
> Labels: jupyter, scala, spark-shell
> Fix For: 0.1.0
>
> Original Estimate: 168h
> Remaining Estimate: 168h
>
> I'm having problems running Scala Spark on Jupyter. Below is my error message when I load Apache Toree - Scala notebook in jupyter.
> {noformat}
> root@ubuntu-2gb-sgp1-01:~# jupyter notebook --ip 0.0.0.0 --port 8888
> [I 03:14:54.281 NotebookApp] Serving notebooks from local directory: /root
> [I 03:14:54.281 NotebookApp] 0 active kernels
> [I 03:14:54.281 NotebookApp] The Jupyter Notebook is running at: http://0.0.0.0:8888/
> [I 03:14:54.281 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
> [W 03:14:54.282 NotebookApp] No web browser found: could not locate runnable browser.
> [I 03:15:09.976 NotebookApp] 302 GET / (61.6.68.44) 1.21ms
> [I 03:15:15.924 NotebookApp] Creating new notebook in
> [W 03:15:16.592 NotebookApp] 404 GET /nbextensions/widgets/notebook/js/extension.js?v=20161120031454 (61.6.68.44) 15.49ms referer=http://188.166.235.21:8888/notebooks/Untitled2.ipynb?kernel_name=apache_toree_scala
> [I 03:15:16.677 NotebookApp] Kernel started: 94a63354-d294-4de7-a12c-2e05905e0c45
> Starting Spark Kernel with SPARK_HOME=/usr/local/spark
> 16/11/20 03:15:18 [INFO] o.a.t.Main$$anon$1 - Kernel version: 0.1.0.dev8-incubating-SNAPSHOT
> 16/11/20 03:15:18 [INFO] o.a.t.Main$$anon$1 - Scala version: Some(2.10.4)
> 16/11/20 03:15:18 [INFO] o.a.t.Main$$anon$1 - ZeroMQ (JeroMQ) version: 3.2.2
> 16/11/20 03:15:18 [INFO] o.a.t.Main$$anon$1 - Initializing internal actor system
> Exception in thread "main" java.lang.NoSuchMethodError: scala.collection.immutable.HashSet$.empty()Lscala/collection/immutable/HashSet;
> at akka.actor.ActorCell$.<init>(ActorCell.scala:336)
> at akka.actor.ActorCell$.<clinit>(ActorCell.scala)
> at akka.actor.RootActorPath.$div(ActorPath.scala:185)
> at akka.actor.LocalActorRefProvider.<init>(ActorRefProvider.scala:465)
> at akka.actor.LocalActorRefProvider.<init>(ActorRefProvider.scala:453)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$2.apply(DynamicAccess.scala:78)
> at scala.util.Try$.apply(Try.scala:192)
> at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:73)
> at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84)
> at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84)
> at scala.util.Success.flatMap(Try.scala:231)
> at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:84)
> at akka.actor.ActorSystemImpl.liftedTree1$1(ActorSystem.scala:585)
> at akka.actor.ActorSystemImpl.<init>(ActorSystem.scala:578)
> at akka.actor.ActorSystem$.apply(ActorSystem.scala:142)
> at akka.actor.ActorSystem$.apply(ActorSystem.scala:109)
> at org.apache.toree.boot.layer.StandardBareInitialization$class.createActorSystem(BareInitialization.scala:71)
> at org.apache.toree.Main$$anon$1.createActorSystem(Main.scala:35)
> at org.apache.toree.boot.layer.StandardBareInitialization$class.initializeBare(BareInitialization.scala:60)
> at org.apache.toree.Main$$anon$1.initializeBare(Main.scala:35)
> at org.apache.toree.boot.KernelBootstrap.initialize(KernelBootstrap.scala:72)
> at org.apache.toree.Main$delayedInit$body.apply(Main.scala:40)
> at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
> at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
> at scala.App$$anonfun$main$1.apply(App.scala:76)
> at scala.App$$anonfun$main$1.apply(App.scala:76)
> at scala.collection.immutable.List.foreach(List.scala:381)
> at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
> at scala.App$class.main(App.scala:76)
> at org.apache.toree.Main$.main(Main.scala:24)
> at org.apache.toree.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> [W 03:15:26.738 NotebookApp] Timeout waiting for kernel_info reply from 94a63354-d294-4de7-a12c-2e05905e0c45
> {noformat}
> When running Scala shell, this is my output logs
> {noformat}
> root@ubuntu-2gb-sgp1-01:~# spark-shell
> Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel).
> 16/11/20 03:17:11 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
> 16/11/20 03:17:12 WARN Utils: Your hostname, ubuntu-2gb-sgp1-01 resolves to a loopback address: 127.0.1.1; using 10.15.0.5 instead (on interface eth0)
> 16/11/20 03:17:12 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
> 16/11/20 03:17:13 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.
> Spark context Web UI available at http://10.15.0.5:4040
> Spark context available as 'sc' (master = local[*], app id = local-1479611833426).
> Spark session available as 'spark'.
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 2.0.2
> /_/
> Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_111)
> Type in expressions to have them evaluated.
> Type :help for more information.
> scala>
> {noformat}
> This problem was highlighted before in jira https://issues.apache.org/jira/browse/TOREE-336 . However, I'm still unable to get it working for some reason.
> I followed the instructions listed on their official site. https://toree.apache.org/documentation/user/quick-start
> This is my path variables
> {noformat}
> scala> root@ubuntu-2gb-sgp1-01:~# echo $PATH
> /root/bin:/root/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/local/spark:/usr/local/spark/bin
> {noformat}
> Thanks and much appreciated.
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