blob: cdd333700037c8b663ac2a5707e40ad83b4a1f2e [file] [log] [blame]
/*
* Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved.
*
* Licensed 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.HashMap;
import java.util.Map;
import org.apache.commons.lang.mutable.MutableInt;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.annotation.OperatorAnnotation;
import com.datatorrent.lib.util.BaseUniqueKeyCounter;
import com.datatorrent.lib.util.UnifierHashMapSumKeys;
/**
* This operator counts the number of times a key exists in a window. A map from keys to counts is emitted at the end of each window.
* <p>
* Counts the number of times a key exists in a window; Count is emitted at end of window in a single HashMap.
* </p>
* <p>
* This is an end of window operator<br>
* <br>
* <b>StateFull : yes, </b> Tuples are aggregated over application window(s). <br>
* <b>Partitions : Yes, </b> Unique count is unified at output port. <br>
* <br>
* <b>Ports</b>:<br>
* <b>data</b>: expects K<br>
* <b>count</b>: emits HashMap&lt;K,Integer&gt;<br>
* <b>Properties</b>: None<br>
* <br>
* </p>
*
* @displayName Count Unique Keys
* @category Algorithmic
* @tags count
*
* @since 0.3.2
*/
@OperatorAnnotation(partitionable = true)
public class UniqueCounter<K> extends BaseUniqueKeyCounter<K>
{
/**
* The input port which receives incoming tuples.
*/
public final transient DefaultInputPort<K> data = new DefaultInputPort<K>()
{
/**
* Reference counts tuples
*/
@Override
public void process(K tuple)
{
processTuple(tuple);
}
};
/**
* The output port which emits a map from keys to the number of times they occurred within an application window.
*/
public final transient DefaultOutputPort<HashMap<K, Integer>> count = new DefaultOutputPort<HashMap<K, Integer>>()
{
@Override
public Unifier<HashMap<K, Integer>> getUnifier()
{
return new UnifierHashMapSumKeys<K, Integer>();
}
};
/**
* Emits one HashMap as tuple
*/
@Override
public void endWindow()
{
HashMap<K, Integer> tuple = null;
for (Map.Entry<K, MutableInt> e: map.entrySet()) {
if (tuple == null) {
tuple = new HashMap<K, Integer>();
}
tuple.put(e.getKey(), e.getValue().toInteger());
}
if (tuple != null) {
count.emit(tuple);
}
map.clear();
}
}