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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.examples.streaming;

import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
import java.util.Queue;

import scala.Tuple2;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.streaming.Duration;
import org.apache.spark.streaming.api.java.JavaDStream;
import org.apache.spark.streaming.api.java.JavaPairDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;

public final class JavaQueueStream {
  private JavaQueueStream() {
  }

  public static void main(String[] args) throws Exception {

    StreamingExamples.setStreamingLogLevels();
    SparkConf sparkConf = new SparkConf().setAppName("JavaQueueStream");

    // Create the context
    JavaStreamingContext ssc = new JavaStreamingContext(sparkConf, new Duration(1000));

    // Create the queue through which RDDs can be pushed to
    // a QueueInputDStream

    // Create and push some RDDs into the queue
    List list = new ArrayList<>();
    for (int i = 0; i < 1000; i++) {
      list.add(i);
    }

    Queue> rddQueue = new LinkedList<>();
    for (int i = 0; i < 30; i++) {
      rddQueue.add(ssc.sparkContext().parallelize(list));
    }

    // Create the QueueInputDStream and use it do some processing
    JavaDStream inputStream = ssc.queueStream(rddQueue);
    JavaPairDStream mappedStream = inputStream.mapToPair(
        i -> new Tuple2<>(i % 10, 1));
    JavaPairDStream reducedStream = mappedStream.reduceByKey(
        (i1, i2) -> i1 + i2);

    reducedStream.print();
    ssc.start();
    ssc.awaitTermination();
  }
}