Java Code Examples for org.apache.spark.api.java.JavaRDD#cartesian()

The following examples show how to use org.apache.spark.api.java.JavaRDD#cartesian() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: Cartesian.java    From SparkDemo with MIT License 6 votes vote down vote up 
private static void cartesian(JavaSparkContext sc) {
    List<String> names = Arrays.asList("张三", "李四", "王五");
    List<Integer> scores = Arrays.asList(60, 70, 80);

    JavaRDD<String> namesRDD = sc.parallelize(names);
    JavaRDD<Integer> scoreRDD = sc.parallelize(scores);

    /**
	 *  =====================================
	 *   |             两个RDD进行笛卡尔积合并                                        |
	 *   |             The two RDD are Cartesian product merging     |                                                                                                                                                                                                                                    | 
	 *   =====================================
	 */
    JavaPairRDD<String, Integer> cartesianRDD = namesRDD.cartesian(scoreRDD);
    
    cartesianRDD.foreach(new VoidFunction<Tuple2<String, Integer>>() {
        public void call(Tuple2<String, Integer> t) throws Exception {
            System.out.println(t._1 + "\t" + t._2());
        }
    });
}
Example 2
Source File: TransformationRDD.java    From hui-bigdata-spark with Apache License 2.0 5 votes vote down vote up 
/**
 * 笛卡尔积.
 * demo计算目的：超人VS怪兽所有组合
 *
 * @since hui_project 1.0.0
 */
public void testCartesain() {
    SparkConf sparkConf = new SparkConf().setMaster("local[4]").setAppName("test");
    JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);
    JavaRDD<String> list1 = sparkContext.parallelize(Arrays.asList("咸蛋超人VS", "蒙面超人VS", "奥特曼VS"));
    JavaRDD<String> list2 = sparkContext.parallelize(Arrays.asList("小怪兽", "中怪兽", "大怪兽"));
    JavaPairRDD<String, String> cartesian = list1.cartesian(list2);
    checkResult(cartesian.collect());
}
Example 3
Source File: TransformationRDDTest.java    From hui-bigdata-spark with Apache License 2.0 5 votes vote down vote up 
/**
 * 笛卡尔积.
 * demo计算目的：超人VS怪兽所有组合
 * @since hui_project 1.0.0
 */
@Test
public void testCartesain() {
    JavaRDD<String> list1 = sparkContext.parallelize(Arrays.asList("咸蛋超人VS", "蒙面超人VS", "奥特曼VS"));
    JavaRDD<String> list2 = sparkContext.parallelize(Arrays.asList("小怪兽", "中怪兽", "大怪兽"));
    JavaPairRDD<String, String> cartesian = list1.cartesian(list2);
    checkResult(cartesian.collect());
}