Spark Idea Maven 开发环境搭建

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

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