一、安装jdk
jdk版本最好是1.7以上，设置好环境变量，安装过程，略。
二、安装Maven
我选择的Maven版本是3.3.3，安装过程，略。
编辑Maven安装目录conf/settings.xml文件，
<!-- 修改Maven 库存放目录--> <localRepository>D:\maven-repository\repository</localRepository>
三、安装Idea
安装过程，略。
四、创建Spark项目
1、新建一个Spark项目，
2、选择Maven，从模板创建项目，
3、填写项目GroupId等，
4、选择本地安装的Maven和Maven配置文件。
5、next
6、创建完毕，查看新项目结构：
7、自动更新Maven pom文件
8、编译项目
如果出现这种错误，这个错误是由于Junit版本造成的，可以删掉Test，和pom.xml文件中Junit的相关依赖，
即删掉这两个Scala类：
和pom.xml文件中的Junit依赖：
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
</dependency>
9、刷新Maven依赖
10、引入Jdk和Scala开发库
11、在pom.xml加入相关的依赖包，包括Hadoop、Spark等
<dependency> <groupId>commons-logging</groupId> <artifactId>commons-logging</artifactId> <version>1.1.1</version> <type>jar</type> </dependency> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-lang3</artifactId> <version>3.1</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.9</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.12</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>2.7.1</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> <version>2.7.1</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-hdfs</artifactId> <version>2.7.1</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>1.5.1</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.10</artifactId> <version>1.5.1</version> </dependency>
然后刷新maven的依赖，
12、新建一个Scala Object。
测试代码为：
def main(args: Array[String]) {
println("Hello World!")
val sparkConf = new SparkConf().setMaster("local").setAppName("test")
val sparkContext = new SparkContext(sparkConf)
}
执行，
如果报了以下错误，
java.lang.SecurityException: class "javax.servlet.FilterRegistration"'s signer information does not match signer information of other classes in the same package at java.lang.ClassLoader.checkCerts(ClassLoader.java:952) at java.lang.ClassLoader.preDefineClass(ClassLoader.java:666) at java.lang.ClassLoader.defineClass(ClassLoader.java:794) at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142) at java.net.URLClassLoader.defineClass(URLClassLoader.java:449) at java.net.URLClassLoader.access$100(URLClassLoader.java:71) at java.net.URLClassLoader$1.run(URLClassLoader.java:361) at java.net.URLClassLoader$1.run(URLClassLoader.java:355) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:354) at java.lang.ClassLoader.loadClass(ClassLoader.java:425) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) at java.lang.ClassLoader.loadClass(ClassLoader.java:358) at org.spark-project.jetty.servlet.ServletContextHandler.<init>(ServletContextHandler.java:136) at org.spark-project.jetty.servlet.ServletContextHandler.<init>(ServletContextHandler.java:129) at org.spark-project.jetty.servlet.ServletContextHandler.<init>(ServletContextHandler.java:98) at org.apache.spark.ui.JettyUtils$.createServletHandler(JettyUtils.scala:110) at org.apache.spark.ui.JettyUtils$.createServletHandler(JettyUtils.scala:101) at org.apache.spark.ui.WebUI.attachPage(WebUI.scala:78) at org.apache.spark.ui.WebUI$$anonfun$attachTab$1.apply(WebUI.scala:62) at org.apache.spark.ui.WebUI$$anonfun$attachTab$1.apply(WebUI.scala:62) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.ui.WebUI.attachTab(WebUI.scala:62) at org.apache.spark.ui.SparkUI.initialize(SparkUI.scala:61) at org.apache.spark.ui.SparkUI.<init>(SparkUI.scala:74) at org.apache.spark.ui.SparkUI$.create(SparkUI.scala:190) at org.apache.spark.ui.SparkUI$.createLiveUI(SparkUI.scala:141) at org.apache.spark.SparkContext.<init>(SparkContext.scala:466) at com.test.Test$.main(Test.scala:13) at com.test.Test.main(Test.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:144)
可以把servlet-api 2.5 jar删除即可：
最好的办法是删除pom.xml中相关的依赖，即
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.7.1</version>
</dependency>
最后的pom.xml文件的依赖是
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.7.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.10</artifactId>
<version>1.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.5.2</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.10</artifactId>
<version>1.5.2</version>
</dependency>
<dependency>
<groupId>com.databricks</groupId>
<artifactId>spark-avro_2.10</artifactId>
<version>2.0.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.5.2</version>
</dependency>
</dependencies>
如果是报了这个错误，也没有什么问题，程序依旧可以执行，
java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries. at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:356) at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:371) at org.apache.hadoop.util.Shell.<clinit>(Shell.java:364) at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:80) at org.apache.hadoop.security.SecurityUtil.getAuthenticationMethod(SecurityUtil.java:611) at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:272) at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:260) at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:790) at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:760) at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:633) at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2084) at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2084) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2084) at org.apache.spark.SparkContext.<init>(SparkContext.scala:311) at com.test.Test$.main(Test.scala:13) at com.test.Test.main(Test.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:144)
最后看到的正常输出：
Hello World! Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 16/09/19 11:21:29 INFO SparkContext: Running Spark version 1.5.1 16/09/19 11:21:29 ERROR Shell: Failed to locate the winutils binary in the hadoop binary path java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries. at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:356) at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:371) at org.apache.hadoop.util.Shell.<clinit>(Shell.java:364) at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:80) at org.apache.hadoop.security.SecurityUtil.getAuthenticationMethod(SecurityUtil.java:611) at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:272) at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:260) at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:790) at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:760) at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:633) at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2084) at org.apache.spark.util.Utils$$anonfun$getCurrentUserName$1.apply(Utils.scala:2084) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2084) at org.apache.spark.SparkContext.<init>(SparkContext.scala:311) at com.test.Test$.main(Test.scala:13) at com.test.Test.main(Test.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:144) 16/09/19 11:21:29 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 16/09/19 11:21:30 INFO SecurityManager: Changing view acls to: pc 16/09/19 11:21:30 INFO SecurityManager: Changing modify acls to: pc 16/09/19 11:21:30 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(pc); users with modify permissions: Set(pc) 16/09/19 11:21:30 INFO Slf4jLogger: Slf4jLogger started 16/09/19 11:21:31 INFO Remoting: Starting remoting 16/09/19 11:21:31 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.51.143:52500] 16/09/19 11:21:31 INFO Utils: Successfully started service 'sparkDriver' on port 52500. 16/09/19 11:21:31 INFO SparkEnv: Registering MapOutputTracker 16/09/19 11:21:31 INFO SparkEnv: Registering BlockManagerMaster 16/09/19 11:21:31 INFO DiskBlockManager: Created local directory at C:\Users\pc\AppData\Local\Temp\blockmgr-f9ea7f8c-68f9-4f9b-a31e-b87ec2e702a4 16/09/19 11:21:31 INFO MemoryStore: MemoryStore started with capacity 966.9 MB 16/09/19 11:21:31 INFO HttpFileServer: HTTP File server directory is C:\Users\pc\AppData\Local\Temp\spark-64cccfb4-46c8-4266-92c1-14cfc6aa2cb3\httpd-5993f955-0d92-4233-b366-c9a94f7122bc 16/09/19 11:21:31 INFO HttpServer: Starting HTTP Server 16/09/19 11:21:31 INFO Utils: Successfully started service 'HTTP file server' on port 52501. 16/09/19 11:21:31 INFO SparkEnv: Registering OutputCommitCoordinator 16/09/19 11:21:31 INFO Utils: Successfully started service 'SparkUI' on port 4040. 16/09/19 11:21:31 INFO SparkUI: Started SparkUI at http://192.168.51.143:4040 16/09/19 11:21:31 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set. 16/09/19 11:21:31 INFO Executor: Starting executor ID driver on host localhost 16/09/19 11:21:31 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 52520. 16/09/19 11:21:31 INFO NettyBlockTransferService: Server created on 52520 16/09/19 11:21:31 INFO BlockManagerMaster: Trying to register BlockManager 16/09/19 11:21:31 INFO BlockManagerMasterEndpoint: Registering block manager localhost:52520 with 966.9 MB RAM, BlockManagerId(driver, localhost, 52520) 16/09/19 11:21:31 INFO BlockManagerMaster: Registered BlockManager 16/09/19 11:21:31 INFO SparkContext: Invoking stop() from shutdown hook 16/09/19 11:21:32 INFO SparkUI: Stopped Spark web UI at http://192.168.51.143:4040 16/09/19 11:21:32 INFO DAGScheduler: Stopping DAGScheduler 16/09/19 11:21:32 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 16/09/19 11:21:32 INFO MemoryStore: MemoryStore cleared 16/09/19 11:21:32 INFO BlockManager: BlockManager stopped 16/09/19 11:21:32 INFO BlockManagerMaster: BlockManagerMaster stopped 16/09/19 11:21:32 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 16/09/19 11:21:32 INFO SparkContext: Successfully stopped SparkContext 16/09/19 11:21:32 INFO ShutdownHookManager: Shutdown hook called 16/09/19 11:21:32 INFO ShutdownHookManager: Deleting directory C:\Users\pc\AppData\Local\Temp\spark-64cccfb4-46c8-4266-92c1-14cfc6aa2cb3 Process finished with exit code 0
至此，开发环境搭建完毕。
五、打jar包
1、新建一个Scala Object
代码是：
package com.test
import org.apache.spark.{SparkConf, SparkContext}
/**
* Created by pc on 2016/9/20.
*/
object WorldCount {
def main(args: Array[String]) {
val dataFile = args(0)
val output = args(1)
val sparkConf = new SparkConf().setAppName("WorldCount")
val sparkContext = new SparkContext(sparkConf)
val lines = sparkContext.textFile(dataFile)
val counts = lines.flatMap(_.split(",")).map(s => (s,1)).reduceByKey((a,b) => a+b)
counts.saveAsTextFile(output)
sparkContext.stop()
}
}
2、 File -》Project Structure
3、点击ok
可以设置jar包输出目录：
4、build Artifact
5、运行：
把测试文件放到HDFS的/test/ 目录下，提交：
spark-submit --class com.test.WorldCount --master spark://192.168.18.151:7077 sparktest.jar /test/data.txt /test/test-01
6、如果出现以下错误
Exception in thread "main" java.lang.SecurityException: Invalid signature file digest for Manifest main attributes
at sun.security.util.SignatureFileVerifier.processImpl(SignatureFileVerifier.java:240)
at sun.security.util.SignatureFileVerifier.process(SignatureFileVerifier.java:193)
at java.util.jar.JarVerifier.processEntry(JarVerifier.java:305)
at java.util.jar.JarVerifier.update(JarVerifier.java:216)
at java.util.jar.JarFile.initializeVerifier(JarFile.java:345)
at java.util.jar.JarFile.getInputStream(JarFile.java:412)
at sun.misc.JarIndex.getJarIndex(JarIndex.java:137)
at sun.misc.URLClassPath$JarLoader$1.run(URLClassPath.java:674)
at sun.misc.URLClassPath$JarLoader$1.run(URLClassPath.java:666)
at java.security.AccessController.doPrivileged(Native Method)
at sun.misc.URLClassPath$JarLoader.ensureOpen(URLClassPath.java:665)
at sun.misc.URLClassPath$JarLoader.<init>(URLClassPath.java:638)
at sun.misc.URLClassPath$3.run(URLClassPath.java:366)
at sun.misc.URLClassPath$3.run(URLClassPath.java:356)
at java.security.AccessController.doPrivileged(Native Method)
at sun.misc.URLClassPath.getLoader(URLClassPath.java:355)
at sun.misc.URLClassPath.getLoader(URLClassPath.java:332)
at sun.misc.URLClassPath.getResource(URLClassPath.java:198)
at java.net.URLClassLoader$1.run(URLClassLoader.java:358)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:270)
at org.apache.spark.util.Utils$.classForName(Utils.scala:173)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:641)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
就使用WinRAR打开jar包， 删除META-INF目录下的除了mainfest.mf，.rsa及maven目录以外的其他所有文件