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JavaDStream.countByValue
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How to use
countByValue
method
in
org.apache.spark.streaming.api.java.JavaDStream

Best Java code snippets using org.apache.spark.streaming.api.java.JavaDStream.countByValue (Showing top 7 results out of 315)

origin: org.apache.spark/spark-streaming_2.10

@SuppressWarnings("unchecked")
@Test
public void testCountByValue() {
 List<List<String>> inputData = Arrays.asList(
  Arrays.asList("hello", "world"),
  Arrays.asList("hello", "moon"),
  Arrays.asList("hello"));
 List<List<Tuple2<String, Long>>> expected = Arrays.asList(
   Arrays.asList(
     new Tuple2<>("hello", 1L),
     new Tuple2<>("world", 1L)),
   Arrays.asList(
     new Tuple2<>("hello", 1L),
     new Tuple2<>("moon", 1L)),
   Arrays.asList(
     new Tuple2<>("hello", 1L)));
 JavaDStream<String> stream = JavaTestUtils.attachTestInputStream(ssc, inputData, 1);
 JavaPairDStream<String, Long> counted = stream.countByValue();
 JavaTestUtils.attachTestOutputStream(counted);
 List<List<Tuple2<String, Long>>> result = JavaTestUtils.runStreams(ssc, 3, 3);
 Assert.assertEquals(expected, result);
}
origin: org.apache.spark/spark-streaming_2.11

@SuppressWarnings("unchecked")
@Test
public void testCountByValue() {
 List<List<String>> inputData = Arrays.asList(
  Arrays.asList("hello", "world"),
  Arrays.asList("hello", "moon"),
  Arrays.asList("hello"));
 List<List<Tuple2<String, Long>>> expected = Arrays.asList(
   Arrays.asList(
     new Tuple2<>("hello", 1L),
     new Tuple2<>("world", 1L)),
   Arrays.asList(
     new Tuple2<>("hello", 1L),
     new Tuple2<>("moon", 1L)),
   Arrays.asList(
     new Tuple2<>("hello", 1L)));
 JavaDStream<String> stream = JavaTestUtils.attachTestInputStream(ssc, inputData, 1);
 JavaPairDStream<String, Long> counted = stream.countByValue();
 JavaTestUtils.attachTestOutputStream(counted);
 List<List<Tuple2<String, Long>>> result = JavaTestUtils.runStreams(ssc, 3, 3);
 Assert.assertEquals(expected, result);
}
origin: org.apache.spark/spark-streaming-kafka_2.10

words.countByValue().foreachRDD(
 new Function<JavaPairRDD<String, Long>, Void>() {
  @Override
origin: org.apache.spark/spark-streaming-kafka_2.11

words.countByValue().foreachRDD(
 new Function<JavaPairRDD<String, Long>, Void>() {
  @Override
origin: org.apache.spark/spark-streaming-kafka

words.countByValue().foreachRDD(
 new Function<JavaPairRDD<String, Long>, Void>() {
  @Override
origin: org.apache.spark/spark-streaming-kafka-0-8_2.11

words.countByValue().foreachRDD(new VoidFunction<JavaPairRDD<String, Long>>() {
  @Override
  public void call(JavaPairRDD<String, Long> rdd) {
origin: org.apache.spark/spark-streaming-kafka-0-8

words.countByValue().foreachRDD(new VoidFunction<JavaPairRDD<String, Long>>() {
  @Override
  public void call(JavaPairRDD<String, Long> rdd) {
org.apache.spark.streaming.api.javaJavaDStreamcountByValue

Popular methods of JavaDStream

  • foreachRDD
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