cartesian,中文名,笛卡尔乘积
比如说两个RDD,分别有10条数据,用了cartesian算子以后 ,两个RDD的每一条数据都会和另外一个RDD的每一条数据执行一次join 最终组成了一个笛卡尔乘积
小案例
比如说,现在5件衣服,5条裤子,分别属于两个RDD ,就是说,需要对每件衣服都和每天裤子做一次join,尝试进行服装搭配
public class Cartesian {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("Cartesian")
.setMaster("local");
JavaSparkContext sc = new JavaSparkContext(conf);
List<String> clothes = Arrays.asList("夹克", "T恤", "皮衣", "风衣");
JavaRDD<String> clothesRDD = sc.parallelize(clothes);
List<String> trousers = Arrays.asList("皮裤", "运动裤", "牛仔裤", "休闲裤");
JavaRDD<String> trousersRDD = sc.parallelize(trousers);
JavaPairRDD<String, String> pairsRDD = clothesRDD.cartesian(trousersRDD);
for(Tuple2<String, String> pair : pairsRDD.collect()) {
System.out.println(pair);
}
}
}
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