spark-streaming windows netcat

问题描述

SparkStreaming的WordCount

Centos下安装nc命令工具

netcat(nc)是一个简单而有用的工具，被誉为网络安全界的“瑞士军刀”，不仅可以通过使用TCP或UDP协议的网络连接读写数据，同时还是一个功能强大的网络调试和探测工具，能够建立你需要的几乎所有类型的网络连接。

在Linux终端窗口可以直接使用yum工具进行安装：

[root@master01 spark]# yum install nc.x86_64

安装完毕后，在终端模式下运行nc -help查看命令是否正常安装

[hadoop@master01 spark]$ nc -help
usage: nc [-46DdhklnrStUuvzC] [-i interval] [-p source_port]
          [-s source_ip_address] [-T ToS] [-w timeout] [-X proxy_version]
          [-x proxy_address[:port]] [hostname] [port[s]]
        Command Summary:
                -4              Use IPv4
                -6              Use IPv6
                -D              Enable the debug socket option
                -d              Detach from stdin
                -h              This help text
                -i secs         Delay interval for lines sent, ports scanned
                -k              Keep inbound sockets open for multiple connects
                -l              Listen mode, for inbound connects
                -n              Suppress name/port resolutions
                -p port         Specify local port for remote connects
                -r              Randomize remote ports
                -S              Enable the TCP MD5 signature option
                -s addr         Local source address
                -T ToS          Set IP Type of Service
                -C              Send CRLF as line-ending
                -t              Answer TELNET negotiation
                -U              Use UNIX domain socket
                -u              UDP mode
                -v              Verbose
                -w secs         Timeout for connects and final net reads
                -X proto        Proxy protocol: "4", "5" (SOCKS) or "connect"
                -x addr[:port]  Specify proxy address and port
                -z              Zero-I/O mode [used for scanning]
        Port numbers can be individual or ranges: lo-hi [inclusive]

OK，安装正常。下面我们就可以使用nc -l 9999 来监听端口(linux主机ip为192.168.47.141)，并发送数据；

[hadoop@master01 spark]$ nc -l 9999
Hello world!
How are you?
Goodbye!

sparkstreaming wordcount代码

程序启动后，连接远程linux主机（192.168.47.141）的9999端口，消费那台linux主机nc命令后输入的单词，进行统计。

package com.hx.test

/**
 * fileName : Test11StreamingWordCount 
 * Created by 970655147 on 2016-02-12 13:21.
 */
object Test11StreamingWordCount {

  // 基于sparkStreaming的wordCount
  // 环境windows7 + spark1.2 + jdk1.7 + scala2.10.4
  // 1\. 启动netcat [nc -l -p 9999]
  // 2\. 启动当前程序
  // 3\. netcat命令行中输入数据
  // 4\. 回到console, 查看结果[10s 之内]
  // *******************************************
  // 每一个print() 打印一次
  // -------------------------------------------
  // Time: 1455278620000 ms
  // -------------------------------------------
  // Another Infomation !
  // *******************************************
  // inputText : sdf sdf lkj lkj lkj lkj
  // MappedRDD[23] at count at Test11StreamingWordCount.scala:39
  // 2
  // (sdf,2), (lkj,4)
  def main(args :Array[String]) = {

    // Create a StreamingContext with a local master
    // Spark Streaming needs at least two working thread
    val sc = new StreamingContext("local[2]", "NetworkWordCount", Seconds(10) )
    // Create a DStream that will connect to serverIP:serverPort, like localhost:9999
    val lines = sc.socketTextStream("192.168.47.141", 9999)
     // Split each line into words
    // 以空格把收到的每一行数据分割成单词
    val words = lines.flatMap(_.split(" "))
    // 在本批次内计单词的数目
    val wordCounts = words.map(x => (x, 1)).reduceByKey(_ + _)
    // 打印每个RDD中的前10个元素到控制台
    wordCounts.print()

    sc.start()
    sc.awaitTermination()

  }

}

效果截图