Spark经典案例7-非结构数据处理_spark非结构化数据清洗-优快云博客

需求：根据tomcat日志计算url访问了情况，具体的url如下，
要求：区别统计GET和POST URL访问量
结果为：访问方式、URL、访问量
测试数据集：
在CODE上查看代码片派生到我的代码片
196.168.2.1 - - [03/Jul/2014:23:36:38 +0800] “GET /course/detail/3.htm HTTP/1.0” 200 38435 0.038
182.131.89.195 - - [03/Jul/2014:23:37:43 +0800] “GET /html/notes/20140617/888.html HTTP/1.0” 301 - 0.000
196.168.2.1 - - [03/Jul/2014:23:38:27 +0800] “POST /service/notes/addViewTimes_23.htm HTTP/1.0” 200 2 0.003
196.168.2.1 - - [03/Jul/2014:23:39:03 +0800] “GET /html/notes/20140617/779.html HTTP/1.0” 200 69539 0.046
196.168.2.1 - - [03/Jul/2014:23:43:00 +0800] “GET /html/notes/20140318/24.html HTTP/1.0” 200 67171 0.049
196.168.2.1 - - [03/Jul/2014:23:43:59 +0800] “POST /service/notes/addViewTimes_779.htm HTTP/1.0” 200 1 0.003
196.168.2.1 - - [03/Jul/2014:23:45:51 +0800] “GET /html/notes/20140617/888.html HTTP/1.0” 200 70044 0.060
196.168.2.1 - - [03/Jul/2014:23:46:17 +0800] “GET /course/list/73.htm HTTP/1.0” 200 12125 0.010
196.168.2.1 - - [03/Jul/2014:23:46:58 +0800] “GET /html/notes/20140609/542.html HTTP/1.0” 200 94971 0.077
196.168.2.1 - - [03/Jul/2014:23:48:31 +0800] “POST /service/notes/addViewTimes_24.htm HTTP/1.0” 200 2 0.003
196.168.2.1 - - [03/Jul/2014:23:48:34 +0800] “POST /service/notes/addViewTimes_542.htm HTTP/1.0” 200 2 0.003
196.168.2.1 - - [03/Jul/2014:23:49:31 +0800] “GET /notes/index-top-3.htm HTTP/1.0” 200 53494 0.041
196.168.2.1 - - [03/Jul/2014:23:50:55 +0800] “GET /html/notes/20140609/544.html HTTP/1.0” 200 183694 0.076
196.168.2.1 - - [03/Jul/2014:23:53:32 +0800] “POST /service/notes/addViewTimes_544.htm HTTP/1.0” 200 2 0.004
196.168.2.1 - - [03/Jul/2014:23:54:53 +0800] “GET /service/notes/addViewTimes_900.htm HTTP/1.0” 200 151770 0.054
196.168.2.1 - - [03/Jul/2014:23:57:42 +0800] “GET /html/notes/20140620/872.html HTTP/1.0” 200 52373 0.034
196.168.2.1 - - [03/Jul/2014:23:58:17 +0800] “POST /service/notes/addViewTimes_900.htm HTTP/1.0” 200 2 0.003
196.168.2.1 - - [03/Jul/2014:23:58:51 +0800] “GET /html/notes/20140617/888.html HTTP/1.0” 200 70044 0.057
186.76.76.76 - - [03/Jul/2014:23:48:34 +0800] “POST /service/notes/addViewTimes_542.htm HTTP/1.0” 200 2 0.003
186.76.76.76 - - [03/Jul/2014:23:46:17 +0800] “GET /course/list/73.htm HTTP/1.0” 200 12125 0.010
8.8.8.8 - - [03/Jul/2014:23:46:58 +0800] “GET /html/notes/20140609/542.html HTTP/1.0” 200 94971 0.077

由于Tomcat日志是不规则的，需要先过滤清洗数据。


package ClassicCase

import org.apache.spark.{SparkConf, SparkContext}

/**
  * 业务场景：分析非结构化数据
  * Created by YJ on 2017/2/8.
  */


object case7 {
  def main(args: Array[String]): Unit = {
    val conf = new SparkConf().setMaster("local").setAppName("reduce")
    val sc = new SparkContext(conf)
    sc.setLogLevel("ERROR")
    val data = sc.textFile("hdfs://192.168.109.130:8020//user/flume/ClassicCase/case7/*")

    //filter 过滤长度小于0， 过滤不包含GET与POST的URL   
    val filtered = data.filter(_.length() > 0).filter(line => (line.indexOf("GET") > 0 || line.indexOf("POST") > 0))

    //转换成键值对操作  
    val res = filtered.map(line => {
      if (line.indexOf("GET") > 0) {
        //截取 GET 到URL的字符串  
        (line.substring(line.indexOf("GET"), line.indexOf("HTTP/1.0")).trim, 1)
      } else {
        //截取 POST 到URL的字符串  
        (line.substring(line.indexOf("POST"), line.indexOf("HTTP/1.0")).trim, 1)
      } //最后通过reduceByKey求sum  
    }).reduceByKey(_ + _)

    //触发action事件执行  
    res.collect()
  }
}

输出结果
(POST /service/notes/addViewTimes_779.htm,1),
(GET /service/notes/addViewTimes_900.htm,1),
(POST /service/notes/addViewTimes_900.htm,1),
(GET /notes/index-top-3.htm,1),
(GET /html/notes/20140318/24.html,1),
(GET /html/notes/20140609/544.html,1),
(POST /service/notes/addViewTimes_542.htm,2),
(POST /service/notes/addViewTimes_544.htm,1),
(GET /html/notes/20140609/542.html,2),
(POST /service/notes/addViewTimes_23.htm,1),
(GET /html/notes/20140617/888.html,3),
(POST /service/notes/addViewTimes_24.htm,1),
(GET /course/detail/3.htm,1),
(GET /course/list/73.htm,2),
(GET /html/notes/20140617/779.html,1),
(GET /html/notes/20140620/872.html,1)