《IDEA创建Spark工程并submit执行》

深碍√TFBOYSˉ_ 2022-01-31 08:49 316阅读 0赞

### 《windows下IDEA创建Spark工程并提交执行》 ###

1、创建时在Scala中选择IDEA项目  
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  2、设置JAVA JDK 和Scala的JDK，其中Project SDK需要通过“New…”设置为JDK的路径；Scala SDK需要通过“Create…”设置为Scala的路径，同时命名项目  
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  3、在弹出的窗口中单击“Modules”命令，在对应的右侧窗口中，选中“src”文件夹并单击右键，选择“New Folder…”命令，创建“main”文件夹，如下图。同样的步骤，再选中“main”，在其中分别创建“java”、“resources”、"scala"文件夹，然后通过“Mark as”设置文件夹属性，目录结构如下图。  
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  4、在项目目录下添加pom.xml文件  
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  pom.xml文件中的内容为：很多暂时没用到的依赖也先放进来了，根据自己版本和需要更改

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
             xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
        <modelVersion>4.0.0</modelVersion>
        <groupId>zjut</groupId>
        <artifactId>NeutralNet</artifactId>
        <version>1.0</version>
        <inceptionYear>2008</inceptionYear>
        <properties>
            <scala.version>2.11.8</scala.version>
            <kafka.version>0.9.0.0</kafka.version>
            <spark.version>2.2.0</spark.version>
            <hadoop.version>2.6.0-cdh5.7.0</hadoop.version>
            <hbase.version>1.2.0-cdh5.7.0</hbase.version>
        </properties>
    
        
        <repositories>
            <repository>
                <id>cloudera</id>
                <url>https://repository.cloudera.com/artifactory/cloudera-repos</url>
            </repository>
        </repositories>
    
        <dependencies>
            <dependency>
                <groupId>org.scala-lang</groupId>
                <artifactId>scala-library</artifactId>
                <version>${ scala.version}</version>
            </dependency>
    
            
            
    
            
            <dependency>
                <groupId>org.apache.hadoop</groupId>
                <artifactId>hadoop-client</artifactId>
                <version>${ hadoop.version}</version>
            </dependency>
    
            
            
    
            
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-streaming-flume_2.11</artifactId>
                <version>${ spark.version}</version>
            </dependency>
    
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-streaming-flume-sink_2.11</artifactId>
                <version>${ spark.version}</version>
            </dependency>
    
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
                <version>${ spark.version}</version>
            </dependency>
    
            <dependency>
                <groupId>org.apache.commons</groupId>
                <artifactId>commons-lang3</artifactId>
                <version>3.5</version>
            </dependency>
    
            
            <dependency>
                <groupId>org.apache.spark</groupId>
                <artifactId>spark-sql_2.11</artifactId>
                <version>${ spark.version}</version>
            </dependency>
    
    
            <dependency>
                <groupId>com.fasterxml.jackson.module</groupId>
                <artifactId>jackson-module-scala_2.11</artifactId>
                <version>2.6.5</version>
            </dependency>
    
            <dependency>
                <groupId>net.jpountz.lz4</groupId>
                <artifactId>lz4</artifactId>
                <version>1.3.0</version>
            </dependency>
    
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <version>5.1.38</version>
            </dependency>
    
            <dependency>
                <groupId>org.apache.flume.flume-ng-clients</groupId>
                <artifactId>flume-ng-log4jappender</artifactId>
                <version>1.6.0</version>
            </dependency>
            
    
        </dependencies>
    
        <build>
            
            <plugins>
                <plugin>
                    <groupId>org.scala-tools</groupId>
                    <artifactId>maven-scala-plugin</artifactId>
                    <executions>
                        <execution>
                            <goals>
                                <goal>compile</goal>
                                <goal>testCompile</goal>
                            </goals>
                        </execution>
                    </executions>
                    <configuration>
                        <scalaVersion>${ scala.version}</scalaVersion>
                        <args>
                            <arg>-target:jvm-1.5</arg>
                        </args>
                    </configuration>
                </plugin>
    
                <plugin>
                    <artifactId>maven-assembly-plugin</artifactId>
                    <version>3.1.0</version>
                    <configuration>
                        <descriptorRefs>
                            <descriptorRef>jar-with-dependencies</descriptorRef>
                        </descriptorRefs>
                        <archive>
                            <manifest>
                                <mainClass>com.immoc.spark.project.spark.ImmocStatStreamingApp</mainClass>
                            </manifest>
    
                        </archive>
    
                    </configuration>
                    <executions>
                        <execution>
                            <id>make-assembly</id> 
                            <phase>package</phase> 
                            <goals>
                                <goal>single</goal>
                            </goals>
                        </execution>
                    </executions>
                </plugin>
    
    
                <plugin>
                    <groupId>org.apache.maven.plugins</groupId>
                    <artifactId>maven-eclipse-plugin</artifactId>
                    <configuration>
                        <downloadSources>true</downloadSources>
                        <buildcommands>
                            <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand>
                        </buildcommands>
                        <additionalProjectnatures>
                            <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature>
                        </additionalProjectnatures>
                        <classpathContainers>
                            <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer>
                            <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer>
                        </classpathContainers>
                    </configuration>
                </plugin>
            </plugins>
        </build>
        <reporting>
            <plugins>
                <plugin>
                    <groupId>org.scala-tools</groupId>
                    <artifactId>maven-scala-plugin</artifactId>
                    <configuration>
                        <scalaVersion>${ scala.version}</scalaVersion>
                    </configuration>
                </plugin>
            </plugins>
        </reporting>
    </project>

5、右键Pom文件，add as maven project。  
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  6、依赖文件pom.xml报错，需要自己重新指定仓库位置与配置文件，enable auto change  
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  7、在scala包下，新建FirstTest类  
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  FirstTest内容：/etc/profile是我centos下的环境变量配置文件，/software/wordcount是我指定输出在/software目录下，输出wordcount

package scala
    import org.apache.spark.{ SparkContext,SparkConf}
    object FirstTest { 
      def main(args: Array[String]): Unit = { 
        val conf = new SparkConf().setAppName("wordcount")
        val sc = new SparkContext(conf)
        val input = sc.textFile("/etc/profile")
        val lines = input.flatMap(line=>line.split(" "))
        val count = lines.map(word=>(word,1)).reduceByKey{ case(x,y)=>x+y}
        val output = count.saveAsTextFile("/software/wordcount")
      }
    }

8、指定生成的artifact版本，注意指定打包的入口类  
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  9、双击右侧maven project中的Lifecycle中的install  
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  finish后，将NeutralNet-1.0-jar-with-dependencies.jar上传至spark环境下：  
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  10、将打包好的jar拷贝至spark环境下，启动spark集群，提交。最常出现的问题，提示没有出现的类  
![在这里插入图片描述][20190516130205639.png]  
  你会打开自己打包的jar，会发现确实没有scala.FirstTest的类  
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解决办法：尝试在build中选择build artifacts，rebuild，而不是直接install  
你可以看到此时NeturalNet1-1.0.jar中有FirstTest.class文件  
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重新提交指令：./spark-submit --class “scala.FirstTest” /software/spark-2.2.0-bin-2.6.0-cdh5.7.0/user\_jar/NeutralNet1-1.0-jar-with-dependencies.jar 其中， /software/spark-2.2.0-bin-2.6.0-cdh5.7.0/user\_jar/放着我的jar。开始运行，如下图：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MTI2MjQ1Mw_size_16_color_FFFFFF_t_70 14]  
10、在我的wordcount下，你可以看到我的输出结果：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MTI2MjQ1Mw_size_16_color_FFFFFF_t_70 15]

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