提交任务到spark（以wordcount为例）

1、首先需要搭建好hadoop+spark环境，并保证服务正常。本文以wordcount为例。

2、创建源文件，即输入源。hello.txt文件，内容如下：

tom jerry
henry jim
suse lusy

注：以空格为分隔符

3、然后执行如下命令：

　　hadoop fs -mkdir -p /Hadoop/Input（在HDFS创建目录）

　　hadoop fs -put hello.txt /Hadoop/Input（将hello.txt文件上传到HDFS）

　　hadoop fs -ls /Hadoop/Input （查看上传的文件）

　　hadoop fs -text /Hadoop/Input/hello.txt （查看文件内容）

4、用spark-shell先测试一下wordcount任务。

（1）启动spark-shell，当然需要在spark的bin目录下执行，但是这里我配置了环境变量。

（2）然后直接输入scala语句：

　　val file=sc.textFile("hdfs://hacluster/Hadoop/Input/hello.txt")

　　val rdd = file.flatMap(line => line.split(" ")).map(word => (word,1)).reduceByKey(_+_)

　　rdd.collect()

　　rdd.foreach(println)

ok，测试通过。

5、Scala实现单词计数

 1 package com.example.spark
 2 
 3 /**
 4  * User: hadoop
 5  * Date: 2017/8/17 0010
 6  * Time: 10:20
 7  */
 8 import org.apache.spark.SparkConf
 9 import org.apache.spark.SparkContext
10 import org.apache.spark.SparkContext._
11 
12 /**
13  * 统计字符出现次数
14  */
15 object ScalaWordCount {
16   def main(args: Array[String]) {
17     if (args.length < 1) {
18       System.err.println("Usage: <file>")
19       System.exit(1)
20     }
21 
22     val conf = new SparkConf()
23     val sc = new SparkContext(conf)
24     val line = sc.textFile(args(0))
25 
26     line.flatMap(_.split(" ")).map((_, 1)).reduceByKey(_+_).collect().foreach(println)
27 
28     sc.stop()
29   }
30 }

6、用java实现wordcount

package com.example.spark;

import java.util.Arrays;
import java.util.List;
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 scala.Tuple2;

public final class WordCount {
    private static final Pattern SPACE = Pattern.compile(" ");

    public static void main(String[] args) throws Exception {
        if (args.length < 1) {
            System.err.println("Usage: JavaWordCount <file>");
            System.exit(1);
        }
        SparkConf conf = new SparkConf().setAppName("JavaWordCount");
        JavaSparkContext sc = new JavaSparkContext(conf);
        JavaRDD<String> lines = sc.textFile(args[0],1);
        JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {

            private static final long serialVersionUID = 1L;

            @Override
            public Iterable<String> call(String s) {
                return Arrays.asList(SPACE.split(s));
            }
        });

        JavaPairRDD<String, Integer> ones = words.mapToPair(new PairFunction<String, String, Integer>() {

            private static final long serialVersionUID = 1L;

            @Override
            public Tuple2<String, Integer> call(String s) {
                return new Tuple2<String, Integer>(s, 1);
            }
        });

        JavaPairRDD<String, Integer> counts = ones.reduceByKey(new Function2<Integer, Integer, Integer>() {

            private static final long serialVersionUID = 1L;

            @Override
            public Integer call(Integer i1, Integer i2) {
                return i1 + i2;
            }
        });

        List<Tuple2<String, Integer>> output = counts.collect();
        for (Tuple2<?, ?> tuple : output) {
            System.out.println(tuple._1() + ": " + tuple._2());
        }

        sc.stop();
    }
}

7、IDEA打包。

（1）File ---> Project Structure 

 点击ok，配置完成后，在菜单栏中选择Build->Build Artifacts...，然后使用Build等命令打包。打包完成后会在状态栏中显示“Compilation completed successfully...”的信息，去jar包输出路径下查看jar包，如下所示。

将这个wordcount.jar上传到集群的节点上，scp wordcount.jar root@10.57.22.244:/opt/   输入虚拟机root密码。

8、运行jar包。

本文以spark on yarn模式运行jar包。

执行命令运行javawordcount：spark-submit --master yarn-client --class com.example.spark.WordCount --executor-memory 1G --total-executor-cores 2 /opt/wordcount.jar hdfs://hacluster/aa/hello.txt

执行命令运行scalawordcount：spark-submit --master yarn-client --class com.example.spark.ScalaWordCount --executor-memory 1G --total-executor-cores 2 /opt/wordcount.jar hdfs://hacluster/aa/hello.txt

本文以java的wordcount为演示对象，如下图：

以上是直接以spark-submit方式提交任务，下面介绍一种以java web的方式提交。

9、以Java Web的方式提交任务到spark。

用spring boot搭建java web框架，实现代码如下：

　　1）新建maven项目spark-submit

　　2）pom.xml文件内容，这里要注意spark的依赖jar包要与scala的版本相对应，如spark-core_2.11，这后面2.11就是你安装的scala的版本

<?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>

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>1.4.1.RELEASE</version>
    </parent>
    <groupId>wordcount</groupId>
    <artifactId>spark-submit</artifactId>
    <version>1.0-SNAPSHOT</version>
    <properties>
        <start-class>com.example.spark.SparkSubmitApplication</start-class>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <java.version>1.8</java.version>
        <commons.version>3.4</commons.version>
        <org.apache.spark-version>2.1.0</org.apache.spark-version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>${commons.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.tomcat.embed</groupId>
            <artifactId>tomcat-embed-jasper</artifactId>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>com.jayway.jsonpath</groupId>
            <artifactId>json-path</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <exclusions>
                <exclusion>
                    <artifactId>spring-boot-starter-tomcat</artifactId>
                    <groupId>org.springframework.boot</groupId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jetty</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.eclipse.jetty.websocket</groupId>
                    <artifactId>*</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jetty</artifactId>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>javax.servlet</groupId>
            <artifactId>jstl</artifactId>
        </dependency>
        <dependency>
            <groupId>org.eclipse.jetty</groupId>
            <artifactId>apache-jsp</artifactId>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-solr</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>javax.servlet</groupId>
            <artifactId>jstl</artifactId>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>${org.apache.spark-version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${org.apache.spark-version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.11</artifactId>
            <version>${org.apache.spark-version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>${org.apache.spark-version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.7.3</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka_2.11</artifactId>
            <version>1.6.3</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-graphx_2.11</artifactId>
            <version>${org.apache.spark-version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-assembly-plugin</artifactId>
            <version>3.0.0</version>
        </dependency>

        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-core</artifactId>
            <version>2.6.5</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>2.6.5</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-annotations</artifactId>
            <version>2.6.5</version>
        </dependency>

    </dependencies>
    <packaging>war</packaging>

    <repositories>
        <repository>
            <id>spring-snapshots</id>
            <name>Spring Snapshots</name>
            <url>https://repo.spring.io/snapshot</url>
            <snapshots>
                <enabled>true</enabled>
            </snapshots>
        </repository>
        <repository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </repository>
        <repository>
            <id>maven2</id>
            <url>http://repo1.maven.org/maven2/</url>
        </repository>
    </repositories>
    <pluginRepositories>
        <pluginRepository>
            <id>spring-snapshots</id>
            <name>Spring Snapshots</name>
            <url>https://repo.spring.io/snapshot</url>
            <snapshots>
                <enabled>true</enabled>
            </snapshots>
        </pluginRepository>
        <pluginRepository>
            <id>spring-milestones</id>
            <name>Spring Milestones</name>
            <url>https://repo.spring.io/milestone</url>
            <snapshots>
                <enabled>false</enabled>
            </snapshots>
        </pluginRepository>
    </pluginRepositories>

    <build>
        <plugins>
            <plugin>
                <artifactId>maven-war-plugin</artifactId>
                <configuration>
                    <warSourceDirectory>src/main/webapp</warSourceDirectory>
                </configuration>
            </plugin>

            <plugin>
                <groupId>org.mortbay.jetty</groupId>
                <artifactId>jetty-maven-plugin</artifactId>
                <configuration>
                    <systemProperties>
                        <systemProperty>
                            <name>spring.profiles.active</name>
                            <value>development</value>
                        </systemProperty>
                        <systemProperty>
                            <name>org.eclipse.jetty.server.Request.maxFormContentSize</name>
                            <!-- -1代表不作限制 -->
                            <value>600000</value>
                        </systemProperty>
                    </systemProperties>
                    <useTestClasspath>true</useTestClasspath>
                    <webAppConfig>
                        <contextPath>/</contextPath>
                    </webAppConfig>
                    <connectors>
                        <connector implementation="org.eclipse.jetty.server.nio.SelectChannelConnector">
                            <port>7080</port>
                        </connector>
                    </connectors>
                </configuration>
            </plugin>
        </plugins>

    </build>

</project>

(3)SubmitJobToSpark.java

package com.example.spark;

import org.apache.spark.deploy.SparkSubmit;

/**
 * @author kevin
 *
 */
public class SubmitJobToSpark {

    public static void submitJob() {
        String[] args = new String[] { "--master", "yarn-client", "--name", "test java submit job to spark", "--class", "com.example.spark.WordCount", "/opt/wordcount.jar", "hdfs://hacluster/aa/hello.txt" };
        SparkSubmit.main(args);
    }
}

（4）SparkController.java

package com.example.spark.web.controller;

import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.ResponseBody;

import com.example.spark.SubmitJobToSpark;

@Controller
@RequestMapping("spark")
public class SparkController {
    private Logger logger = LoggerFactory.getLogger(SparkController.class);

    @RequestMapping(value = "sparkSubmit", method = { RequestMethod.GET, RequestMethod.POST })
    @ResponseBody
    public String sparkSubmit(HttpServletRequest request, HttpServletResponse response) {
        logger.info("start submit spark tast...");
        SubmitJobToSpark.submitJob();
        return "hello";
    }

}

5）将项目spark-submit打成war包部署到Master节点tomcat上，访问如下请求：

　　http://10.57.22.244:9090/spark/sparkSubmit

　　在tomcat的log中能看到计算的结果。