团购标签案例


数据提取

package cn.spark.uitls;

import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;

/**
 * 使用fastjson提取评论
 */
public class ExtractTags {

    
    public static String extract(String info){
        
        JSONObject jsonObj = JSONObject.parseObject(info);
        
        if (jsonObj == null || !jsonObj.containsKey("extInfoList")){
            
            return "";
        }
        
        JSONArray jsonArray = jsonObj.getJSONArray("extInfoList");
        
        if(jsonArray == null){
            
            return "";
        }
        
        StringBuffer sb = new StringBuffer();
        
        for(int i = 0; i < jsonArray.size(); i++){
            
            JSONObject obj = jsonArray.getJSONObject(i);
            
            if(obj != null && obj.containsKey("values") 
                    && obj.containsKey("title") 
                    && obj.getString("title").equals("contentTags")){
                
                JSONArray tagsArray = obj.getJSONArray("values");
                
                if(tagsArray != null){
                    
                    for(int j = 0; j < tagsArray.size(); j++){
                        
                        sb.append(tagsArray.get(j));
                        
                        if(j != tagsArray.size() - 1){
                            
                            sb.append(",");
                        }
                    }
                }
                
            }
        }
        
        return sb.toString();
    }
}

排序比较器

package cn.spark.uitls;

import java.util.Comparator;

import scala.Tuple2;

public class TupleComparator implements Comparator>{

    @Override
    public int compare(Tuple2 o1, Tuple2 o2) {

        return o2._2 - o1._2;
    }
}

生成标签

package cn.spark.core.tags;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.TreeSet;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;

import cn.spark.uitls.ExtractTags;
import cn.spark.uitls.TupleComparator;
import scala.Tuple2;

/**
 * 生成团购标签
 *
 */
public class TagsGenerator {

    public static void main(String[] args) {
        
        SparkConf conf = new SparkConf()
                .setAppName("TagsGenerator")
                .setMaster("local[4]");
        
        JavaSparkContext sc = new JavaSparkContext(conf);
        
        JavaRDD tempTags = sc
                .textFile("file:///tags.txt");
        
        // 提取出评论,并转换成PairRDD
        JavaPairRDD pairTags = tempTags.mapToPair(
                new PairFunction() {

                    private static final long serialVersionUID = 2704806555244127991L;

                    @Override
                    public Tuple2 call(String line) throws Exception {
                        
                        String[] tagArray = line.split("\\t"); 
                        
                        return new Tuple2(tagArray[0], ExtractTags.extract(tagArray[1]));
                    }
                });
        
//      System.out.println(pairTags.take(10));
        
        // 过滤出无效数据
        JavaPairRDD vaildPairTags = pairTags.filter(
                new Function, Boolean>() {
                    
                    private static final long serialVersionUID = 2341022888467424541L;

                    @Override
                    public Boolean call(Tuple2 tuple) throws Exception {
                        
                        if(tuple._2 == ""){
                            return false;
                        } else {
                            return true;
                        }
                    }
                });
        
//      System.out.println(vaildPairTags.take(10));
        
        // 把有效数据的vlaue转成数组
        JavaPairRDD> vaildPairArrayTags = vaildPairTags.mapToPair(
                new PairFunction, String, List>() {

                    private static final long serialVersionUID = 4427355754150194235L;

                    @Override
                    public Tuple2> call(Tuple2 tuple) throws Exception {
                        
                        String[] tags = tuple._2.split(",");
                        
                        return new Tuple2>(tuple._1, Arrays.asList(tags));
                    }
                });
        
//      System.out.println(vaildPairArrayTags.take(10));
        
        // 压扁
        JavaPairRDD flatPairTags = vaildPairArrayTags.flatMapValues(
                new Function, Iterable>() {

                    private static final long serialVersionUID = -83392454411970840L;

                    @Override
                    public Iterable call(List list) throws Exception {
                        
                        return list;
                    }
                    
                });
        
//      System.out.println(flatPairTags.take(10));
        
        // 标1
        JavaPairRDD, Integer> flatPairTagsOne = flatPairTags.mapToPair(
                new PairFunction, Tuple2, Integer>() {

                    private static final long serialVersionUID = -4286078108295302852L;

                    @Override
                    public Tuple2, Integer> call(Tuple2 tuple) throws Exception {
                        
                        return new Tuple2, Integer>(tuple, 1);
                    }
                });
        
//      System.out.println(flatPairTagsOne.take(10));
        
        // 聚合reduceBykey
        JavaPairRDD, Integer> aggFlatPairTags = flatPairTagsOne.reduceByKey(
                new Function2() {
                    
                    private static final long serialVersionUID = 5247246198728620599L;

                    @Override
                    public Integer call(Integer v1, Integer v2) throws Exception {

                        return v1 + v2;
                    }
                });
        
//      System.out.println(aggFlatPairTags.take(10));
        
        // 让评价与次数组合为元组
        JavaPairRDD> aggFlatPairTags_1 = aggFlatPairTags.mapToPair(
                new PairFunction,Integer>, String, Tuple2>() {

                    private static final long serialVersionUID = 3487125940408716180L;

                    @Override
                    public Tuple2> call(Tuple2, Integer> tuple)
                            throws Exception {
                        
                        return new Tuple2>(tuple._1._1, new Tuple2(tuple._1._2, tuple._2));
                    }
                });
        
//      System.out.println(aggFlatPairTags_1.take(10));
        
        // 把value放进List集合
        JavaPairRDD>> aggFlatPairTags_2 = 
                aggFlatPairTags_1.mapToPair(
                    new PairFunction>, 
                    String, List>>() {

                        private static final long serialVersionUID = 4033983426111053118L;

                        @Override
                        public Tuple2>> call(
                                Tuple2> tuple) throws Exception {
                            
                            List> list = new ArrayList<>();
                            
                            list.add(tuple._2());
                            
                            return new Tuple2>>(tuple._1, list);
                        }
                    
                    });
        
//      System.out.println(aggFlatPairTags_2.take(10));
        
        // 聚合,把相同id的value方到同一个List集合
        JavaPairRDD>> aggFlatPairTags_3 = 
                aggFlatPairTags_2.reduceByKey(
                        new Function2>, 
                        List>, 
                        List>>() {
                            
                            private static final long serialVersionUID = -4811643037731110953L;

                            @Override
                            public List> call(List> v1, 
                                    List> v2)
                                    throws Exception {
                                
                                v1.addAll(v2);
                                
                                return v1;
                            }
                        });
        
//      System.out.println(aggFlatPairTags_3.take(10));
        
        JavaPairRDD result = aggFlatPairTags_3.mapToPair(
                new PairFunction>>, String, String>() {

                    private static final long serialVersionUID = -2848536030175892531L;

                    @Override
                    public Tuple2 call(
                            Tuple2>> tuple) throws Exception {
                        
                        TreeSet> set = new TreeSet<>(new TupleComparator());
                        
                        set.addAll(tuple._2);
                        
                        Iterator> iter = set.iterator();
                        
                        StringBuffer sb = new StringBuffer();
                        
                        int size = set.size();
                        int count = 0;
                        
                        while(iter.hasNext()){
                            count ++;
                            Tuple2 tags = iter.next();
                            
                            if(tags._1 != "" && tags._1 != null){
                                
                                sb.append(tags._1 + ":" + tags._2.toString());
                                
                                if(count != size){
                                    sb.append("|");
                                
                            }
                            
                        }
                            
                    }
                        
                        return new Tuple2(tuple._1, sb.toString());
                    }
                });
        
        System.out.println(result.take(10));
        
        sc.close();
    }

}

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