Spark task upload

Environment: Spark1.6.1+Hadoop2.6.4+Scala2.10.6

Goal: Develop a word count applet in Scala and upload it to the spark cluster to run successfully.

step:

1. Local development code.

1.1, configure pom

<?xml version="1.0" encoding="UTF-8"?>
<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/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.xhj.scalafirst</groupId>
    <artifactId>scalafirst</artifactId>
    <version>1.0-SNAPSHOT</version>


    <properties>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <encoding>UTF-8</encoding>
        <scala.version>2.10.6</scala.version>
        <spark.version>1.6.1</spark.version>
        <hadoop.version>2.6.4</hadoop.version>
    </properties>


    <dependencies>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>${hadoop.version}</version>
        </dependency>


    </dependencies>

    <build>
        <sourceDirectory>src/main/scala</sourceDirectory>
        <testSourceDirectory>src/test/scala</testSourceDirectory>
        <plugins>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.2.2</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                        <configuration>
                            <args>
                                <arg>-make:transitive</arg>
                                <arg>-dependencyfile</arg>
                                <arg>${project.build.directory}/.scala_dependencies</arg>
                            </args>
                        </configuration>
                    </execution>
                </executions>
            </plugin>


            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>2.4.3</version>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>
                                shade
                            </goal>
                        </goals>

                        <configuration>
                            <filters>
                                <filter>
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <transformers>
                                <transformer
                                        implementation="org.apache.maven.plugins
.shade.resource.ManifestResourceTransformer">
                                    <Main-Class>com.qf.spark.WordCount</Main-Class>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>


</project>

1.2, write code

package scalapackage.testspark

import org.apache.spark.rdd.RDD
import org.apache.spark.{SparkConf, SparkContext}

import scala.collection.mutable

/**
  * Created by Germmy on 2018/5/3.
  */
object SparkWC {

  def main(args: Array[String]) {
    val sparkConf: SparkConf = new SparkConf().setAppName("SparkWC")//.setMaster("local[*]")
    val sc: SparkContext = new SparkContext(sparkConf)
    val lines: RDD[String] = sc.textFile(args(0))
    val by: RDD[(String, Int)] = lines.flatMap(_.split(" ")).map((_, 1)).reduceByKey(_ + _).sortBy(_._2)
//    val toBuffer: mutable.Buffer[(String, Int)] = by.collect().toBuffer
//    println(toBuffer)
    by.saveAsTextFile(args(1))
    sc.stop()
  }

}

Note :

1), setMaster(local[*]) indicates that the local CPU opens multi-threading to simulate the Spark cluster. After local adjustment, before uploading the Spark cluster, it needs to be commented out

2), this program accepts 2 parameters, one is where to read from, the other is where the result is written

2. Packing.

2.1, run the command

mvn clean package

 

 

problem solved