org.apache.edgent.topology.spi.graph.TWindowTimeImpl Maven / Gradle / Ivy

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/*
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
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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
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specific language governing permissions and limitations
under the License.
*/
package org.apache.edgent.topology.spi.graph;

import static org.apache.edgent.window.Policies.alwaysInsert;
import static org.apache.edgent.window.Policies.evictOlderWithProcess;
import static org.apache.edgent.window.Policies.insertionTimeList;
import static org.apache.edgent.window.Policies.processOnInsert;
import static org.apache.edgent.window.Policies.scheduleEvictIfEmpty;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;

import org.apache.edgent.function.BiFunction;
import org.apache.edgent.function.Function;
import org.apache.edgent.function.Functions;
import org.apache.edgent.oplet.window.Aggregate;
import org.apache.edgent.topology.TStream;
import org.apache.edgent.window.InsertionTimeList;
import org.apache.edgent.window.Policies;
import org.apache.edgent.window.Window;
import org.apache.edgent.window.Windows;

public class TWindowTimeImpl extends AbstractTWindow {
    private long time;
    private TimeUnit unit;
    
    TWindowTimeImpl(long time, TimeUnit unit, TStream feed, Function keyFunction){
        super(feed, keyFunction);
        this.time = time;
        this.unit = unit;
    }

    /**
     * Window behaviour here is that:
     * 
     * Tuples are always inserted into the partition.
     * 
     * If before insertion the partition is empty the
     * a eviction is scheduled 
     * 
     * After insertion the window is processed so that
     * any change triggers this continuous aggregation.
     * 
     * The evict determiner evicts any tuples that have
     * been in the window longer that the configured
     * size, and invokes the processing on any eviction.
     * Multiple tuples may have been evicted before processing.
     */
    @Override
    public  TStream aggregate(BiFunction,K, U> processor) {    
        processor = Functions.synchronizedBiFunction(processor);
        Window> window =
                Windows.window(
                        alwaysInsert(),
                        scheduleEvictIfEmpty(time, unit),
                        evictOlderWithProcess(time, unit),
                        processOnInsert(),
                        getKeyFunction(),
                        insertionTimeList());
        
        Aggregate op = new Aggregate(window, processor);
        return feeder().pipe(op); 
    }

    @Override
    public  TStream batch(BiFunction, K, U> batcher) {
        batcher = Functions.synchronizedBiFunction(batcher);
        Window> window =
                Windows.window(
                        alwaysInsert(),
                        Policies.scheduleEvictOnFirstInsert(time, unit),
                        Policies.evictAllAndScheduleEvictWithProcess(time, unit),
                        (partition, tuple) -> {},
                        getKeyFunction(),
                        () -> new ArrayList());
        
        Aggregate op = new Aggregate(window, batcher);
        return feeder().pipe(op); 
    }

    /**
     * @return the time
     */
    public long getTime() {
        return time;
    }

    /**
     * @return the unit
     */
    public TimeUnit getUnit() {
        return unit;
    }

}