Spark Core样例程序（Java）

功能简介

统计日志文件中本周末网购停留总时间超过2个小时的女性网民信息。

代码样例

下面代码片段仅为演示，具体代码参见com.huawei.bigdata.spark.examples.FemaleInfoCollection类：

    //创建一个配置类SparkConf，然后创建一个SparkContext
    SparkSession spark = SparkSession
      .builder()
      .appName("CollectFemaleInfo")
      .config("spark.some.config.option", "some-value")
      .getOrCreate();

    //读取原文件数据,每一行记录转成RDD里面的一个元素
    JavaRDD<String> data = spark.read()
      .textFile(args[0])
      .javaRDD();

    //将每条记录的每列切割出来，生成一个Tuple
    JavaRDD<Tuple3<String,String,Integer>> person = data.map(new Function<String,Tuple3<String,String,Integer>>()
    {
        private static final long serialVersionUID = -2381522520231963249L;
        public Tuple3<String, String, Integer> call(String s) throws Exception
        {
            //按逗号分隔一行数据
            String[] tokens = s.split(",");

            //将分割后的三个元素组成一个三元Tuple
            Tuple3<String, String, Integer> person = new Tuple3<String, String, Integer>(tokens[0], tokens[1], Integer.parseInt(tokens[2]));
            return person;
        }
    });

    //使用filter函数筛选出女性网民上网时间数据信息    
    JavaRDD<Tuple3<String,String,Integer>> female = person.filter(new Function<Tuple3<String,String,Integer>, Boolean>()
    {
        private static final long serialVersionUID = -4210609503909770492L;

        public Boolean call(Tuple3<String, String, Integer> person) throws Exception
        {
            //根据第二列性别，筛选出是female的记录
            Boolean isFemale = person._2().equals("female");
            return isFemale;
        }
    });

    //汇总每个女性上网总时间
    JavaPairRDD<String, Integer> females = female.mapToPair(new PairFunction<Tuple3<String, String, Integer>, String, Integer>()
    {
        private static final long serialVersionUID = 8313245377656164868L;

        public Tuple2<String, Integer> call(Tuple3<String, String, Integer> female) throws Exception
        {
            //取出姓名和停留时间两列，用于后面按名字求逗留时间的总和
            Tuple2<String, Integer> femaleAndTime = new  Tuple2<String, Integer>(female._1(), female._3());
            return femaleAndTime;
        }
    });
      JavaPairRDD<String, Integer> femaleTime = females.reduceByKey(new Function2<Integer, Integer, Integer>()
    {
        private static final long serialVersionUID = -3271456048413349559L;

        public Integer call(Integer integer, Integer integer2) throws Exception
        {
            //将同一个女性的两次停留时间相加，求和
            return (integer + integer2);
        }
    });

    //筛选出停留时间大于两个小时的女性网民信息
    JavaPairRDD<String, Integer> rightFemales = females.filter(new Function<Tuple2<String, Integer>, Boolean>()
    {
        private static final long serialVersionUID = -3178168214712105171L;

        public Boolean call(Tuple2<String, Integer> s) throws Exception
        {
            //取出女性用户的总停留时间，并判断是否大于2小时
            if(s._2() > (2 * 60))
            {
                return true;
            }
            return false;
        }
    });

    //对符合的female信息进行打印显示
    for(Tuple2<String, Integer> d: rightFemales.collect())
    {
        System.out.println(d._1() + "," + d._2());
    }