95、Spark-SparkSQL（最終バージョンを実行するためのパッケージ化されたクラスター）

<scala.version> 2.11.0 </ scala.version>
<spark.version> 2.0.0 </ spark.version>
<hadoop.version> 2.6.0 </ hadoop.version>
<slf4j.version> 1.7.16 </ slf4j.version>
<log4j.version> 1.2.17 </ log4j.version>
<mysql.version> 8.0.23 </ mysql.version>

pomの依存関係

<?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>org.example</groupId>
    <artifactId>SparkDemo</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <scala.version>2.11.0</scala.version>
        <spark.version>2.0.0</spark.version>
        <hadoop.version>2.6.0</hadoop.version>
        <slf4j.version>1.7.16</slf4j.version>
        <log4j.version>1.2.17</log4j.version>
        <mysql.version>8.0.23</mysql.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>com.hankcs</groupId>
            <artifactId>hanlp</artifactId>
            <version>portable-1.7.8</version>
        </dependency>
        <!-- Scala 库 -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>
        <!-- MySQL连接 -->
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.23</version>
        </dependency>
        <!-- Spark 系列包 -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>${hadoop.version}</version>
        </dependency>
        <!-- 日志相关 -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>jcl-over-slf4j</artifactId>
            <version>${slf4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>${slf4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>${slf4j.version}</version>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>${log4j.version}</version>
        </dependency>
        <!--MapReduce-->
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>2.6.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>2.6.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.6.0</version>
        </dependency>



        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-mapreduce-client-core</artifactId>
            <version>2.6.0</version>
        </dependency>
    </dependencies>
    <build>
        <sourceDirectory>src/main/scala</sourceDirectory>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.0</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                    <encoding>UTF-8</encoding>
                </configuration>
            </plugin>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.2.0</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                        <configuration>
                            <args>
                                <arg>-dependencyfile</arg>
                                <arg>${project.build.directory}/.scala_dependencies</arg>
                            </args>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>

コード

package org.example.spark

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

object word_packge {
  def main(args: Array[String]): Unit = {
    val conf: SparkConf = new SparkConf().setAppName("jiqun").setMaster("local[6]")
    val sc = new SparkContext(conf)

    val line: RDD[String] = sc.textFile("hdfs://192.168.231.105:8020/input/HelloWord.txt")

    val words: RDD[String] = line.flatMap(_.split(" "))

    val word: RDD[(String, Int)] = words.map((_, 1))

    val result: RDD[(String, Int)] = word.reduceByKey(_ + _)

    System.setProperty("HADOOP_USER_NAME","root")
    result.repartition(1).saveAsTextFile("hdfs://192.168.231.105:8020/output/output1")

    Thread.sleep(1000 * 60)

    sc.stop()
  }
}

冗長なJarパッケージを削除します

パック

アップロードするJarパッケージを見つける

実行中のクラスター

bin/spark-submit --class org.example.spark.word_packge /input/SparkDemo.jar 

HDFSビューの実行結果

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