首先是当我把相关的包导入好后，Run，报错：
Exception in thread "main" org.apache.spark.SparkException: A master URL must be set in your configuration
at org.apache.spark.SparkContext.<init>(SparkContext.scala:185)
at SparkDemo.SimpleApp$.main(SimpleApp.scala:13)
at SparkDemo.SimpleApp.main(SimpleApp.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:140)
Using Spark‘s default log4j profile: org/apache/spark/log4j-defaults.propertie解决办法：在IDE中点击Run -> Edit Configuration，在右侧VM options中输入“-Dspark.master=local”，指示本程序本地单线程运行
再次运行，依旧出错：
Exception in thread "main" java.lang.NoSuchMethodError: scala.collection.immutable.HashSet$.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:159)
at akka.actor.LocalActorRefProvider.<init>(ActorRefProvider.scala:464)
at akka.actor.LocalActorRefProvider.<init>(ActorRefProvider.scala:452)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27)
at java.lang.reflect.Constructor.newInstance(Constructor.java:513)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$2.apply(DynamicAccess.scala:78)
at scala.util.Try$.apply(Try.scala:191)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:73)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84)
at scala.util.Success.flatMap(Try.scala:230)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:84)
at akka.actor.ActorSystemImpl.liftedTree1$1(ActorSystem.scala:584)
at akka.actor.ActorSystemImpl.<init>(ActorSystem.scala:577)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:141)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:108)
at akka.Akka$.delayedEndpoint$akka$Akka$1(Akka.scala:11)
at akka.Akka$delayedInit$body.apply(Akka.scala:9)
at scala.Function0$class.apply$mcV$sp(Function0.scala:40)
at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
at scala.App$$anonfun$main$1.apply(App.scala:76)
at scala.App$$anonfun$main$1.apply(App.scala:76)
at scala.collection.immutable.List.foreach(List.scala:383)
at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
at scala.App$class.main(App.scala:76)
at akka.Akka$.main(Akka.scala:9)
at akka.Akka.main(Akka.scala)之前的一篇博客提到过，我安装的Scala版本为2.11.5，Spark版本为1.2.0，看来Spark版本和Scala版本还是存在一些兼容性问题，将Scala改为2.10.4问题就解决了，程序运行的结果：
Using Spark‘s default log4j profile: org/apache/spark/log4j-defaults.properties
....
....
15/07/27 19:50:23 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, PROCESS_LOCAL, 1260 bytes)
15/07/27 19:50:23 INFO Executor: Running task 0.0 in stage 0.0 (TID 0)
15/07/27 19:50:23 INFO Executor: Finished task 0.0 in stage 0.0 (TID 0). 727 bytes result sent to driver
15/07/27 19:50:23 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, localhost, PROCESS_LOCAL, 1260 bytes)
15/07/27 19:50:23 INFO Executor: Running task 1.0 in stage 0.0 (TID 1)
15/07/27 19:50:23 INFO TaskSetManager: Finished task 0.0 in stage 0.0 (TID 0) in 116 ms on localhost (1/2)
15/07/27 19:50:23 INFO Executor: Finished task 1.0 in stage 0.0 (TID 1). 727 bytes result sent to driver
15/07/27 19:50:23 INFO TaskSetManager: Finished task 1.0 in stage 0.0 (TID 1) in 22 ms on localhost (2/2)
15/07/27 19:50:23 INFO DAGScheduler: Stage 0 (reduce at SparkPI.scala:20) finished in 0.146 s
15/07/27 19:50:23 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
15/07/27 19:50:23 INFO DAGScheduler: Job 0 finished: reduce at SparkPI.scala:20, took 0.380229 s
Pi is roughly 3.13726
15/07/27 19:50:23 INFO SparkUI: Stopped Spark web UI at http://211.66.87.51:4040
15/07/27 19:50:23 INFO DAGScheduler: Stopping DAGScheduler
15/07/27 19:50:24 INFO MapOutputTrackerMasterActor: MapOutputTrackerActor stopped!
15/07/27 19:50:24 INFO MemoryStore: MemoryStore cleared
15/07/27 19:50:24 INFO BlockManager: BlockManager stopped
15/07/27 19:50:24 INFO BlockManagerMaster: BlockManagerMaster stopped
15/07/27 19:50:24 INFO SparkContext: Successfully stopped SparkContext