com.datatorrent.lib.algo.MostFrequentValue 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
 * 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 com.datatorrent.lib.algo;

import java.util.ArrayList;
import java.util.HashMap;

import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.annotation.OperatorAnnotation;

import com.datatorrent.lib.util.AbstractBaseFrequentKey;
import com.datatorrent.lib.util.UnifierArrayHashMapFrequent;
import com.datatorrent.lib.util.UnifierHashMapFrequent;

/**
 * This operator filters the incoming stream of values by emitting the value or values (if there is a tie)
 * that occurred the largest number of times within each window to the output port "list". 
 * One of the values is emitted to the output port "least" at the end of each window.
 * 
 * Occurrences of each tuple is counted and at the end of window any of the most frequent tuple is emitted on output port least and all least frequent
 * tuples on output port list
 * 
 * 
 * This module is an end of window module

 * In case of a tie any of the least key would be emitted. The list port would however have all the tied keys
 * 

 *  StateFull : Yes, Values are compared all over  application window can be > 1. 

 *  Partitions : Yes, Result is unified on output port. 

 * 

 * Ports:

 * data: expects K

 * most: emits HashMap<K,Integer>(1), Where K is the least occurring key in the window. In case of tie any of the least key would be emitted

 * list: emits ArrayList<HashMap<K,Integer>(1)>, Where the list includes all the keys that are least frequent

 * 

 * Properties: None

 * 

 * Compile time checks: None

 * Specific run time checks: None

 * 

 * 
 * @displayName Emit Most Frequent Value
 * @category Rules and Alerts
 * @tags filter, count
 *
 * @since 0.3.2
 */

@OperatorAnnotation(partitionable = true)
public class MostFrequentValue extends AbstractBaseFrequentKey
{
  /**
   * The input port which receives incoming tuples.
   */
  public final transient DefaultInputPort data = new DefaultInputPort()
  {
    /**
     * Calls super.processTuple(tuple)
     */
    @Override
    public void process(K tuple)
    {
      processTuple(tuple);
    }
  };
  /**
   * The output port on which all the tuples,
   * which occurred the most number of times,
   * is emitted.
   */
  public final transient DefaultOutputPort> most = new DefaultOutputPort>()
  {
    @SuppressWarnings({ "rawtypes", "unchecked" })
    @Override
    public Unifier> getUnifier()
    {
      UnifierHashMapFrequent ret = new UnifierHashMapFrequent();
      ret.setLeast(false);
      return ret;
    }
  };


  public final transient DefaultOutputPort>> list = new DefaultOutputPort>>()
  {
    @SuppressWarnings({"rawtypes", "ConstantConditions"})
    @Override
    public Unifier>> getUnifier()
    {
      Unifier>> ret = new UnifierArrayHashMapFrequent();
      ((UnifierHashMapFrequent)ret).setLeast(false);
      return ret;
    }
  };

  /**
   * Emits tuple on port "most"
   * @param tuple
   */
  @Override
  public void emitTuple(HashMap tuple)
  {
    most.emit(tuple);
  }

  /**
   * Emits tuple on port "list"
   * @param tlist
   */
  @Override
  public void emitList(ArrayList> tlist)
  {
    list.emit(tlist);
  }

  /**
   * returns val1 < val2
   * @param val1
   * @param val2
   * @return val1 > val2
   */
  @Override
  public boolean compareCount(int val1, int val2)
  {
    return val1 > val2;
  }
}