Ubuntu 16.04 SPARK 开发环境搭建-- 伪分布版 与新建一个Spark版本的WordCount

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本文链接： https://blog.csdn.net/wangming520liwei/article/details/78053085

Ubuntu 16.04 SPARK 开发环境搭建

这里首先是基于Hadoop 已经装好了情况下，安装SPARK.

具体Hadoop 安装 参考：点击打开链接

 如果你没安装JDK 请安装，你在安装Hadoop 时候也必须安装JDK

这里也稍微写点初始工作：

    1.安装JDK，下载jdk-8u111-linux-x64.tar.gz，解压到/opt/jdk1.8.0_111

 

      下载地址：http://www.Oracle.com/technetwork/Java/javase/downloads/index.html

1）环境配置：

 

sudo  vim /etc/profile/

 

在最后一行增加：

 

            export JAVA_HOME=/opt/jdk1.8.0_111

 

            export JRE_HOME=${JAVA_HOME}/jre

 

            exportCLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib

 

            exportPATH=${JAVA_HOME}/bin:${JRE_HOME}/bin:$PATH        

 

2）输入：source /etc/profile   使得配置文件生效

 

3）验证java是否安装成功：java -version

 

看到java版本相关信息，则表示安装成功！

   

下面正式进入Spark 安装

 

Scala应用比较广泛，也需要安装

 

1. 安装scala,下载scala-2.10.4.tgz，

下载地址：

点击打开链接

http://www.Scala-lang.org/

 

其次：

下载后， 我这解压到：

 

/usr/local/scala-2.12.3

解压好了，接着就是配置环境变量了，执行如下命令：

 

sudo gedit ~/.bashrc


#scala
export SCALA_HOME=/usr/local/scala-2.12.3
export PATH=$PATH:$SCALA_HOME/bin

Source ~/.bashrc

第二步 安装 Spark：

 

下载地址：

点击打开链接

http://spark.apache.org/

下载后解压到：

我这里是：

 

/usr/local/spark-2.2.0-bin-hadoop2.7

 

解压后配置环境变量：

 

  

    1）环境配置：
    sudo vim  /etc/profile/
    在最后一行增加：

     export SPARK_HOME=/opt/spark-1.6.0-bin-hadoop.2.6/
 
    2）输入：source/etc/profile   使得配置文件生效

    3）测试安装结果
 
    打开命令窗口，切换到Spark的 bin 目录：
 
    cd  /opt/spark-1.6.0-bin-hadoop.2.6/bin/
 
    执行./spark-shell, 打开Scala到Spark的连接窗口, 启动过程中无错误信息，出现scala>，启动成功

 

再看管理页面，浏览器输入： localhost:4040/

看源码：

 

package com.xiaoming.sparkdemo;

import java.util.Arrays;
import java.util.regex.Pattern;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.api.java.function.VoidFunction;

import scala.Tuple2;

public class WordCount {

    private static final Pattern SPACE = Pattern.compile(" ");

    public static void main(String[] args) throws Exception {

        SparkConf conf = new SparkConf().setMaster("local").setAppName("wc");
        JavaSparkContext sc = new JavaSparkContext(conf);
        
        JavaRDD<String> text = sc.textFile("hdfs://192.168.56.128:9000/user/wangxiaoming/input/bank/892/1200/20170425");
        JavaRDD<String> words = text.flatMap(new FlatMapFunction<String, String>() {
            private static final long serialVersionUID = 1L;
            @Override
            public Iterable<String> call(String line) throws Exception {
                return Arrays.asList(line.split(" "));//把字符串转化成list
            }
        });
        
        JavaPairRDD<String, Integer> pairs = words.mapToPair(new PairFunction<String, String, Integer>() {
            private static final long serialVersionUID = 1L;
            @Override
            public Tuple2<String, Integer> call(String word) throws Exception {
                return new Tuple2<String, Integer>(word, 1);
            }
        });
        
        JavaPairRDD<String, Integer> results = pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {            
            private static final long serialVersionUID = 1L;
            @Override
            public Integer call(Integer value1, Integer value2) throws Exception {
                return value1 + value2;
            }
        });
        
        JavaPairRDD<Integer, String> temp = results.mapToPair(new PairFunction<Tuple2<String,Integer>, Integer, String>() {
            private static final long serialVersionUID = 1L;
            @Override
            public Tuple2<Integer, String> call(Tuple2<String, Integer> tuple)
                    throws Exception {
                return new Tuple2<Integer, String>(tuple._2, tuple._1);
            }
        });
        
        JavaPairRDD<String, Integer> sorted = temp.sortByKey(false).mapToPair(new PairFunction<Tuple2<Integer,String>, String, Integer>() {
            private static final long serialVersionUID = 1L;
            @Override
            public Tuple2<String, Integer> call(Tuple2<Integer, String> tuple)
                    throws Exception {
                return new Tuple2<String, Integer>(tuple._2,tuple._1);
            }
        });
        
        sorted.foreach(new VoidFunction<Tuple2<String,Integer>>() {
            private static final long serialVersionUID = 1L;
            @Override
            public void call(Tuple2<String, Integer> tuple) throws Exception {
                System.out.println("word:" + tuple._1 + " count:" + tuple._2);
            }
        });
        
        sc.close();
    }
}

vim spark-env.sh

增加如下配置

export SPARK_MASTER_IP=192.168.56.128

    export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-amd64  
    export HADOOP_HOME=/home/hadoop/hadoop-2.7.3  
    export SPARK_MASTER_HOST=10.64.66.215  
    export SPARK_MASTER_PORT=7077  
    export SPARK_WORKER_MERMORY=2G  
    export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop  
    export SPARK_SCALA_VERSION=2.11  

   conf目录下：

 

cp spark-defaults.conf.template spark-defaults.conf

增加如下配置：

spark.master.ip                  192.168.56.128#本机ip

spark.master                     spark://192.168.56.128:7077

spark.driver.bindAddress         192.168.56.128

spark.driver.host                192.168.56.128

cp slaves.template slaves

vim slaves

增加如下配置

192.168.56.128 #设置本地ip，即为伪分布式

  启动Spark顺序 start-all.sh  sh start-master  sh start-slaves.sh 进行启动spark 

start-all.sh 

  上面是sbin目录

  如果启动遇到权限问题：

sudo chown -R wangxiaoming spark-2.2.1-bin-hadoop2.7/

  如果遇到 spark-shell: 29: set: Illegal option -o posix

  这个问题 不要使用 sh spark-shell 执行 需要使用

./spark-shell

  执行。

 

sh start-master.sh

spark-shell使用：

bin目录输入spark-shell

 

 

 val textFile = sc.textFile("/user/wangxiaoming/test.txt") 

 

输入：

 

textFile.count()
textFile.first()
textFile.map(line => line.split(" ").size).reduce((a, b) => Math.max(a, b))

   提供一份maven Project

   

<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>xiaoming</groupId>
  <artifactId>SparkAp</artifactId>
  <version>1.0.0.1-SNAPSHOT</version>
  <packaging>jar</packaging>


  <name>SparkAp</name>
  <url>http://maven.apache.org</url>


  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  </properties>


<dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>3.8.1</version>
      <scope>test</scope>
    </dependency>
    <dependency>  
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.10</artifactId>
      <version>1.6.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.10</artifactId>
      <version>1.6.0</version>
      </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_2.10</artifactId>
      <version>1.6.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-streaming_2.10</artifactId>
      <version>1.6.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>2.6.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-streaming-kafka_2.10</artifactId>
      <version>1.6.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-graphx_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>
  </dependencies>
   <build>
    <sourceDirectory>src/main/java</sourceDirectory>
    <testSourceDirectory>src/main/test</testSourceDirectory>


    <plugins>
      <plugin>
        <artifactId>maven-assembly-plugin</artifactId>
        <configuration>
          <descriptorRefs>
            <descriptorRef>jar-with-dependencies</descriptorRef>
          </descriptorRefs>
          <archive>
            <manifest>
              <mainClass></mainClass>
            </manifest>
          </archive>
        </configuration>
        <executions>
          <execution>
            <id>make-assembly</id>
            <phase>package</phase>
            <goals>
              <goal>single</goal>
            </goals>
          </execution>
        </executions>
      </plugin>


      <plugin>
        <groupId>org.codehaus.mojo</groupId>
        <artifactId>exec-maven-plugin</artifactId>
        <version>1.2.1</version>
        <executions>
          <execution>
            <goals>
              <goal>exec</goal>
            </goals>
          </execution>
        </executions>
        <configuration>
          <executable>java</executable>
          <includeProjectDependencies>true</includeProjectDependencies>
          <includePluginDependencies>false</includePluginDependencies>
          <classpathScope>compile</classpathScope>
          <mainClass>com.dt.spark.App</mainClass>
        </configuration>
      </plugin>


      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-compiler-plugin</artifactId>
        <configuration>
          <source>1.6</source>
          <target>1.6</target>
        </configuration>
      </plugin>


    </plugins>
  </build>
   
</project>

 

 

 

 

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