scala - Apache Toree 和 Spark Scala 在 Jupyter 中不起作用

Question

我在 Jupyter 上运行 Scala Spark 时遇到问题。以下是我在 jupyter 中加载 Apache Toree - Scala 笔记本时的错误消息。

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

运行 Scala shell 时，这是我的输出日志

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>

这个问题之前在 jira https://issues.apache.org/jira/browse/TOREE-336 中被强调过.但是，由于某种原因，我仍然无法使其正常工作。

我按照他们官方网站上列出的说明进行操作。
https://toree.apache.org/documentation/user/quick-start

这是我的路

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

请注意，我没有安装 Scala，因为它带有 spark。

谢谢

Answer 1

我们还没有在 Scala 2.11 和 notebook 中使用 Spark 2.0。
您的错误的根本原因在于兼容性。根据 GitHub Toree 描述，支持的最新 Scala 版本是 Scala 2.10.4，您有 2.11.8。
如果不是仅使用 2.11 的生产需要，请尝试将其降级到 2.10