SparkStreaming的reduceByKeyAndWindow

这个方法是window系列方法中的一个，Window系列的方法，作用就是在当前窗口的时间下再次重新开窗，用的不是很多，毕竟一个总的开窗就满足多数的数据分析需求了，大家有兴趣可以去查查这个系列的其他方法，用途都是一个意思，这里用这个方法，给大家做一个主窗口时间为5秒的基础上做每10秒统计5秒的词频操作

package com.sparkstream

import org.apache.spark.SparkConf
import org.apache.spark.streaming.dstream.{
    
    DStream, ReceiverInputDStream}
import org.apache.spark.streaming.{
    
    Seconds, StreamingContext}

object StreamWordCount {
    
    
  def main(args: Array[String]): Unit = {
    
    
    val conf = new SparkConf().setMaster("local[2]").setAppName("NetworkWordCount")
    val ssc = new StreamingContext(conf, Seconds(5))//滚动窗口，批次大小，处理间隔 => 窗口时间，滑动时间
    //每5秒统计一次单词数（滑动时间），每次统计5秒内的数据（窗口大小）

    ssc.sparkContext.setLogLevel("ERROR")

    val dataDS: ReceiverInputDStream[String] = ssc.socketTextStream("192.168.182.147",9999)

    val wordDS: DStream[String] = dataDS.flatMap(_.split(" "))

    val tupleDS: DStream[(String, Int)] = wordDS.map((_,1))

    //tupleDS.reduceByKey(_+_).print()

    //每5秒统计一次单词数，每次统计前10秒的数据
    //处理函数，窗口时间，滑动时间
    tupleDS.reduceByKeyAndWindow((a:Int,b:Int)=>{
    
    a+b},Seconds(10),Seconds(5)).print()
    //countByKeyAndWindow


    ssc.start()
    ssc.awaitTermination()

  }
}

pom如下

<?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.wy</groupId>
    <artifactId>zoukao2</artifactId>
    <version>1.0-SNAPSHOT</version>

    <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>2.0.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>2.0.2</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.6</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_2.11</artifactId>
            <version>2.0.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>2.0.2</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
            <version>2.0.2</version>
        </dependency>
    </dependencies>


    <build>
        <pluginManagement>
            <plugins>
                <!-- 编译scala的插件 -->
                <plugin>
                    <groupId>net.alchim31.maven</groupId>
                    <artifactId>scala-maven-plugin</artifactId>
                    <version>3.2.2</version>
                </plugin>
                <!-- 编译java的插件 -->
                <plugin>
                    <groupId>org.apache.maven.plugins</groupId>
                    <artifactId>maven-compiler-plugin</artifactId>
                    <version>3.5.1</version>
                </plugin>
            </plugins>
        </pluginManagement>
        <plugins>
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <executions>
                    <execution>
                        <id>scala-compile-first</id>
                        <phase>process-resources</phase>
                        <goals>
                            <goal>add-source</goal>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                    <execution>
                        <id>scala-test-compile</id>
                        <phase>process-test-resources</phase>
                        <goals>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>

            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <executions>
                    <execution>
                        <phase>compile</phase>
                        <goals>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>


            <!-- 打jar插件 -->
            <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>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>