org.deeplearning4j.streaming.embedded.JavaQueueStream.java Source code

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Here is the source code for org.deeplearning4j.streaming.embedded.JavaQueueStream.java

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package org.deeplearning4j.streaming.embedded;

/*
 * 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.
 */

import com.google.common.collect.Lists;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
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;
import scala.Tuple2;

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

public final class JavaQueueStream {
    private JavaQueueStream() {
    }

    public static void main(String[] args) throws Exception {
        SparkConf sparkConf = new SparkConf().setMaster("local[*]");

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

        // Create the queue through which RDDs can be pushed to
        // a QueueInputDStream
        Queue<JavaRDD<Integer>> rddQueue = new LinkedList<>();

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

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

        // Create the QueueInputDStream and use it do some processing
        JavaDStream<Integer> inputStream = ssc.queueStream(rddQueue);
        JavaPairDStream<Integer, Integer> mappedStream = inputStream
                .mapToPair(new PairFunction<Integer, Integer, Integer>() {
                    @Override
                    public Tuple2<Integer, Integer> call(Integer i) {
                        return new Tuple2<>(i % 10, 1);
                    }
                });
        JavaPairDStream<Integer, Integer> reducedStream = mappedStream
                .reduceByKey(new Function2<Integer, Integer, Integer>() {
                    @Override
                    public Integer call(Integer i1, Integer i2) {
                        return i1 + i2;
                    }
                });

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