情境
我有两个包含文本文件路径的字符串列表,列表a,列表b。
我想对列表a,b的笛卡尔乘积进行笛卡尔数据框比较。

我尝试的方法是先做笛卡尔积,
 将其传输到pairRdd,然后在foreach上应用操作。

 List<String> a = Lists.newList("/data/1.text",/data/2.text","/data/3.text");
 List<String> b = Lists.newList("/data/4.text",/data/5.text","/data/6.text");

JavaSparkContext jsc = new JavaSparkContext(spark.sparkContext());
List<Tuple2<String,String>> cartesian = cartesian(a,b);
jsc.parallelizePairs(cartesian).filter(new Function<Tuple2<String, String>, Boolean>() {
        @Override public Boolean call(Tuple2<String, String> tup) throws Exception {
            Dataset<Row> text1 = spark.read().text(tup._1); <-- this throw NullPointerException
            Dataset<Row> text2 = spark.read().text(tup._2);
            return text1.first()==text2.first(); <-- this is an indicative function only
        });


即使我可以使用spark做笛卡尔

JavaRDD<Column> sourceRdd = jsc.parallelize(a);
JavaRDD<Column> allRdd = jsc.parallelize(b);

sourceRdd.cache().cartesian(allRdd).filter(new Function<Tuple2<String, String>, Boolean>() {
        @Override public Boolean call(Tuple2<Column, Column> tup) throws Exception {
            Dataset<Row> text1 = spark.read().text(tup._1);  <-- same issue
            Dataset<Row> text2 = spark.read().text(tup._2);
            return text1.first()==text2.first();
        }
    });


请提出解决此问题的好方法。

最佳答案

不知道我是否完全理解您的问题。这是使用Spark和Java的笛卡尔示例。

public class CartesianDemo {
public static void main(String[] args) {
    SparkConf conf = new SparkConf().setAppName("CartesianDemo").setMaster("local");
    JavaSparkContext jsc = new JavaSparkContext(conf);
    //list
    List<String> listOne = Arrays.asList("one", "two", "three", "four", "five");
    List<String> listTwo = Arrays.asList("ww", "xx", "yy", "zz");
    //RDD
    JavaRDD<String> rddOne = jsc.parallelize(listOne);
    JavaRDD<String> rddTwo = jsc.parallelize(listTwo);
    //Cartesian
    JavaPairRDD<String, String> cartesianRDD = rddOne.cartesian(rddTwo);
    //print
    cartesianRDD.foreach(data -> {
        System.out.println("X=" + data._1() + " Y=" + data._2());
    });
    //stop
    jsc.stop();
    jsc.close();
  }
}

07-24 19:07
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