Apache Toree und Spark Scala funktioniert nicht in Jupyter

Question

Ich habe Probleme beim Ausführen von Scala Spark auf Jupyter. Unten ist meine Fehlermeldung, wenn ich Apache Toree - Scala Notebook in Jupiter laden.

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 

Wenn Scala Shell ausgeführt wird, das ist meine Ausgabeprotokolle

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> 

Dieses Problem vor https://issues.apache.org/jira/browse/TOREE-336 in jira hervorgehoben wurde. Allerdings kann ich es aus irgendeinem Grund immer noch nicht funktionieren.

Ich folgte den Anweisungen auf ihrer offiziellen Website aufgeführt. https://toree.apache.org/documentation/user/quick-start

Das ist mein Weg

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 

Bitte beachten ich nicht Scala installieren, wie es mit Funken kommt.

Dank

Answer 1

Wir nicht Spark-2.0 in der Produktion noch mit Scala 2.11 und Notebooks verwendet haben. Die Ursache dafür, dass Ihr Fehler in Kompatibilität ist. Basierend auf GitHub Toree Beschreibung, ist die neueste Scala-Version, die unterstützt wird, Scala 2.10.4 und Sie haben 2.11.8. Versuchen Sie es auf 2.10 herabstufen, wenn es keine Produktion braucht, nur 2.11 zu verwenden