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/*
* 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.HashSet;
import java.util.Map;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.annotation.OperatorAnnotation;
import com.datatorrent.lib.util.BaseKeyOperator;
import com.datatorrent.lib.util.UnifierHashMap;
/**
* This operator counts the number of unique values corresponding to a key within a window. 
* At the end of each window each key/unique count pair is emitted.
* <p>
* Count unique occurrences of vals for every key within a window, and emits Key,Integer pairs tuple.
* </p>
* <p>
* This is an end of window operator. It uses sticky key partition and default unifier<br>
* <br>
* <b>StateFull : Yes, </b> Tuple are aggregated across application window(s). <br>
* <b>Partitions : Yes, </b> Top values are unified on output port. <br>
* <br>
* <b>Ports</b>:<br>
* <b>data</b>: expects Map&lt;K,V&gt;<br>
* <b>count</b>: emits HashMap&lt;K,Integer&gt;<br>
* <br>
* </p>
*
* @displayName Count Unique Values Per Key (Map)
* @category Algorithmic
* @tags count, key value
*
* @since 0.3.2
*/
@OperatorAnnotation(partitionable = true)
public class UniqueValueMap<K> extends BaseKeyOperator<K>
{
/**
* The input port which receives key value pairs.
*/
public final transient DefaultInputPort<Map<K, ?>> data = new DefaultInputPort<Map<K, ?>>()
{
/**
* Reference counts tuples
*/
@Override
public void process(Map<K, ?> tuple)
{
for (Map.Entry<K, ?> e: tuple.entrySet()) {
HashSet<Object> vals = map.get(e.getKey());
if (vals == null) {
vals = new HashSet<Object>();
map.put(cloneKey(e.getKey()), vals);
}
vals.add(e.getValue());
}
}
};
/**
* The output port which emits key/unique value count pairs.
*/
public final transient DefaultOutputPort<HashMap<K, Integer>> count = new DefaultOutputPort<HashMap<K, Integer>>()
{
@Override
public Unifier<HashMap<K, Integer>> getUnifier()
{
return new UnifierHashMap<K, Integer>();
}
};
/**
* Bucket counting mechanism.
*/
protected HashMap<K, HashSet<Object>> map = new HashMap<K, HashSet<Object>>();
/**
* Emits one HashMap as tuple
*/
@Override
public void endWindow()
{
if (!map.isEmpty()) {
HashMap<K, Integer> tuple = new HashMap<K, Integer>(map.size());
for (Map.Entry<K, HashSet<Object>> e: map.entrySet()) {
tuple.put(e.getKey(), e.getValue().size());
}
count.emit(tuple);
clearCache();
}
}
public void clearCache()
{
map.clear();
}
}