Spark小实例（统计出日志中出现排行前10的IP地址）IDEA实现

首先创建好项目工程，如下图：

完善pom.xml文件，具体为：（依据自己的spark版本做修改）

   <dependencies>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>2.11.8</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.11</artifactId>
            <version>2.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>2.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>2.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql-kafka-0-10_2.11</artifactId>
            <version>2.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>2.7.5</version>
        </dependency>
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-simple</artifactId>
            <version>1.7.12</version>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
            <scope>provided</scope>
        </dependency>
    </dependencies>
    <build>
        <sourceDirectory>src/main/scala</sourceDirectory>
        <testSourceDirectory>src/test/scala</testSourceDirectory>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.5.1</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </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>

准备数据：log.txt ，文本内容部分截图如下：（数据来源于网络，如有侵权，联系我删除）

文件下载地址：https://pan.baidu.com/s/1NE4pqqgJ-VvLZEW-6pQhxw 提取码：hq70

在src---mian---scala---cn.itcast下创建类： 代码具体为：

package cn.itcast

import org.apache.commons.lang3.StringUtils
import org.apache.spark.{SparkConf, SparkContext}

object LogCountSort {
  def main(args: Array[String]): Unit = {
    //1、生成
    val conf = new SparkConf().setMaster("local[*]").setAppName("log-count")
    val sc = new SparkContext(conf)
    //2、读取
    val data = sc.textFile("data/log.txt")
    //3、取出IP, 赋予出现次数为1
    val IPword = data.map(x => (x.split(" ")(0),1))
    //4、清洗数据
    val clearIP = IPword.filter(item => StringUtils.isNotEmpty(item._1))
    //5、统计
    val result = clearIP.reduceByKey(_+_)
    //6、排序
    val sort = result.sortBy(_._2,ascending = false)
    //7. 取出结果, 打印结果
    sort.take(10).foreach(println)
  }
}

运行主程序得出结果：