1.需求：
用spark Streaming写一个wordcount程序，计算发往端口号1235中的信息(单词计数)
2.代码：
(1)pom.xml
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| <dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>2.1.0</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>2.1.0</version>
</dependency>
</dependencies>
|
(2)MyTotalNetworkWordCount.scala
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| package day1211
import org.apache.log4j.Logger
import org.apache.log4j.Level
import org.apache.spark.SparkConf
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.Seconds
import org.apache.spark.storage.StorageLevel
object MyTotalNetworkWordCount {
def main(args: Array[String]): Unit = {
System.setProperty("hadoop.home.dir", "/Users/macbook/Documents/hadoop/hadoop-2.8.4")
Logger.getLogger("org.apache.spark").setLevel(Level.ERROR)
Logger.getLogger("org.eclipse.jetty.server").setLevel(Level.OFF)
val conf = new SparkConf().setMaster("local[2]").setAppName("MyTotalNetworkWordCount")
val ssc = new StreamingContext(conf,Seconds(3))
ssc.checkpoint("hdfs://192.168.1.121:9000/TestFile/chkp0826")
val lines = ssc.socketTextStream("192.168.1.121", 1235, StorageLevel.MEMORY_ONLY)
val words = lines.flatMap(_.split(" "))
val wordPair = words.map((_,1))
val addFunc = (curreValues:Seq[Int],previousValues:Option[Int]) => {
val currentTotal = curreValues.sum
Some( currentTotal + previousValues.getOrElse(0) )
}
val total = wordPair.updateStateByKey(addFunc)
total.print()
ssc.start()
ssc.awaitTermination()
}
}
|
3.运行程序，并往端口号1235发送信息：
4.结果：
