这篇文章主要介绍“怎么搭建Spark源码阅读环境”，在日常操作中，相信很多人在怎么搭建Spark源码阅读环境问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”怎么搭建Spark源码阅读环境”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
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1.安装JDK1.7、Maven3.2.5、Scala2.10.4
2.下载解压Spark1.4.0
下载地址：
http://mirrors.cnnic.cn/apache/spark/spark-1.4.0/spark-1.4.0.tgz
3.下载安装 IntelliJ IDEA 14.1.4，给IDEA安装 Scala 插件，然后导入Spark项目
4.在IDEA中编译Spark
若编译时遇到如下图所示的错误：
在Maven视窗点击“Generate Sources and Update Folders For All Projects”，可解决此问题
在“Generate Sources and Update Folders For All Projects”过程中可能会遇到“Unable to import maven project: See logs for details”错误；可点击Help-->Show Log in Exploere，查看错误日志信息如下：
2015-08-29 22:59:08,909 [ 105808] WARN - #org.jetbrains.idea.maven - embedder class org.jetbrains.idea.maven.project.MavenEmbeddersManager.FOR_FOLDERS_RESOLVE is already used 2015-08-29 22:59:08,916 [ 105815] WARN - ution.rmi.RemoteProcessSupport - Exception in thread "RMI TCP Connection(idle)" java.lang.OutOfMemoryError: PermGen space 2015-08-29 22:59:08,923 [ 105822] WARN - ution.rmi.RemoteProcessSupport - Exception in thread "RMI TCP Connection(idle)" java.lang.OutOfMemoryError: PermGen space 2015-08-29 22:59:08,923 [ 105822] ERROR - #org.jetbrains.idea.maven - Cannot reconnect. java.lang.RuntimeException: Cannot reconnect. at org.jetbrains.idea.maven.server.RemoteObjectWrapper.perform(RemoteObjectWrapper.java:82) at org.jetbrains.idea.maven.server.MavenEmbedderWrapper.customizeForResolve(MavenEmbedderWrapper.java:64) at org.jetbrains.idea.maven.project.MavenProjectsTree.executeWithEmbedder(MavenProjectsTree.java:1366) at org.jetbrains.idea.maven.project.MavenProjectsTree.resolveFolders(MavenProjectsTree.java:1312) at org.jetbrains.idea.maven.project.MavenProjectsProcessorFoldersResolvingTask.perform(MavenProjectsProcessorFoldersResolvingTask.java:39) at org.jetbrains.idea.maven.project.MavenProjectsProcessor.doProcessPendingTasks(MavenProjectsProcessor.java:134) at org.jetbrains.idea.maven.project.MavenProjectsProcessor.access$100(MavenProjectsProcessor.java:30) at org.jetbrains.idea.maven.project.MavenProjectsProcessor$2.run(MavenProjectsProcessor.java:109) at org.jetbrains.idea.maven.utils.MavenUtil$6.run(MavenUtil.java:441) at com.intellij.openapi.application.impl.ApplicationImpl$8.run(ApplicationImpl.java:400) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) at org.jetbrains.ide.PooledThreadExecutor$1$1.run(PooledThreadExecutor.java:56) Caused by: java.rmi.UnmarshalException: Error unmarshaling return; nested exception is: java.io.EOFException at sun.rmi.transport.StreamRemoteCall.executeCall(StreamRemoteCall.java:246) at sun.rmi.server.UnicastRef.invoke(UnicastRef.java:161) at java.rmi.server.RemoteObjectInvocationHandler.invokeRemoteMethod(RemoteObjectInvocationHandler.java:194) at java.rmi.server.RemoteObjectInvocationHandler.invoke(RemoteObjectInvocationHandler.java:148) at com.sun.proxy.$Proxy91.set(Unknown Source) at sun.reflect.GeneratedMethodAccessor124.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at com.intellij.execution.rmi.RemoteUtil.invokeRemote(RemoteUtil.java:124) at com.intellij.execution.rmi.RemoteUtil.access$100(RemoteUtil.java:36) at com.intellij.execution.rmi.RemoteUtil$2$1$1.compute(RemoteUtil.java:105) at com.intellij.execution.rmi.RemoteUtil.executeWithClassLoader(RemoteUtil.java:181) at com.intellij.execution.rmi.RemoteUtil$2$1.invoke(RemoteUtil.java:102) at com.sun.proxy.$Proxy91.set(Unknown Source) at org.jetbrains.idea.maven.server.MavenServerManager.create(MavenServerManager.java:175) at org.jetbrains.idea.maven.server.MavenServerManager.create(MavenServerManager.java:71) at org.jetbrains.idea.maven.server.RemoteObjectWrapper.getOrCreateWrappee(RemoteObjectWrapper.java:41) at org.jetbrains.idea.maven.server.MavenServerManager$5.create(MavenServerManager.java:481) at org.jetbrains.idea.maven.server.MavenServerManager$5.create(MavenServerManager.java:469) at org.jetbrains.idea.maven.server.RemoteObjectWrapper.getOrCreateWrappee(RemoteObjectWrapper.java:41) at org.jetbrains.idea.maven.server.MavenEmbedderWrapper.doCustomize(MavenEmbedderWrapper.java:87) at org.jetbrains.idea.maven.server.MavenEmbedderWrapper.access$000(MavenEmbedderWrapper.java:36) at org.jetbrains.idea.maven.server.MavenEmbedderWrapper$2.execute(MavenEmbedderWrapper.java:67) at org.jetbrains.idea.maven.server.RemoteObjectWrapper.perform(RemoteObjectWrapper.java:76) ... 15 more Caused by: java.io.EOFException at java.io.ObjectInputStream$BlockDataInputStream.peekByte(ObjectInputStream.java:2598) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1318) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) at sun.rmi.transport.StreamRemoteCall.executeCall(StreamRemoteCall.java:244) ... 38 more 2015-08-29 22:59:08,924 [ 105823] ERROR - #org.jetbrains.idea.maven - IntelliJ IDEA 14.1.4 Build #IU-141.1532.4 2015-08-29 22:59:08,924 [ 105823] ERROR - #org.jetbrains.idea.maven - JDK: 1.7.0_80 2015-08-29 22:59:08,924 [ 105823] ERROR - #org.jetbrains.idea.maven - VM: Java HotSpot(TM) 64-Bit Server VM 2015-08-29 22:59:08,924 [ 105823] ERROR - #org.jetbrains.idea.maven - Vendor: Oracle Corporation 2015-08-29 22:59:08,924 [ 105823] ERROR - #org.jetbrains.idea.maven - OS: Windows 8 2015-08-29 22:59:08,925 [ 105824] ERROR - #org.jetbrains.idea.maven - Last Action: Maven.UpdateFolders
这种情况应该是GFW的原因，换一个时间段或者使用代理就可以了
5.在IDE中运行master：直接运行类org.apache.spark.deploy.master.Master，若报如下图所示错误
修改项目根路径下的pom.xml，将guava的版本为范围由provided修改为compile
运行成功时，控制台输出如下：
6.在IDE中运行Worker：运行类org.apache.spark.deploy.worker.Worker，并指定参数 --webui-port 8081 spark://192.168.63.1:7077
到此，关于“怎么搭建Spark源码阅读环境”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注创新互联网站，小编会继续努力为大家带来更多实用的文章！
