今天在intellij除錯spark的時候感覺每次有新的一段程式碼，都要重新跑一遍，如果用spark-shell，感覺也不是特別方便，如果能像python那樣，使用jupyter notebook進行程式設計就很方便了，同時也適合程式碼展示，網上查了一下，試了一下，碰到了很多坑，有些是舊的版本，還有些是版本不同導致錯誤，這裡就記錄下來安裝的過程。

1.執行環境

硬體：Mac

事先裝好：Jupyter notebook，spark2.1.0，scala 2.11.8 (這個版本很重要，關係到後面的安裝）

2.安裝

2.1.scala kernel

從github下載

git clone https://github.com/jupyter-scala/jupyter-scala.git

進入下載的jupyter-scala目錄下，執行

bash jupyter-scala

然後檢視

jupyter kernelspec list

表示scala已經嵌入到jupyter notebook

2.2.spark kernel

這個也比較好裝，但是要注意版本問題，我們用的是toree來裝的，首先要安裝toree

網上的教程通常直接

pip install toree

但是這個下載的是0.1.0版本，該版本的話問題是，後面裝spark kernel後，在jupyter執行spark的時候，預設選的是scala2.10.4版本，會有以下的錯誤

[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

這個錯誤太可怕了，就是版本不對，因為spark2.1.0對應的是scala2.11版本的

所以要用下面的方式下載0.2.0版本

pip install https://dist.apache.org/repos/dist/dev/incubator/toree/0.2.0/snapshots/dev1/toree-pip/toree-0.2.0.dev1.tar.gz

後面就可以安裝spark kernel了

jupyter toree install --interpreters=Scala --spark_home=/usr/local/Cellar/apache-spark/2.1.0/libexec --user --kernel_name=apache_toree --interpreters=PySpark,SparkR,Scala,SQL

其中spark_home指的是你的spark的安裝目錄，記住這個安裝目錄必須到spark中有python之前，比如我的spark中的python（spark中的python資料夾，不是我們自己裝的那個）在 /usr/local/Cellar/apache-spark/2.1.0/libexec

檢視結果

jupyter kernelspec list

安裝成功

3.開啟jupyter notebook檢視效果

有這麼多選項，可以快樂的用jupyter notebook進行spark了

以上這篇Jupyter notebook執行Spark+Scala教程就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。