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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 org.apache.apex.malhar.lib.algo;
import java.util.HashMap;
import java.util.HashSet;
import org.apache.apex.malhar.lib.util.BaseUniqueKeyCounter;
import org.apache.apex.malhar.lib.util.UnifierHashMapSumKeys;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.annotation.OperatorAnnotation;
/**
* This operator counts the number of times a tuple is received and emits
* modified counts (if any) at the end of the streaming window.
* <p>
* Counts for modified keys are emitted at end of window in a single HashMap. If
* no keys were received in a window, then nothing will be emitted. By default
* the state is cleared at the end of the window. Cumulative counting can be
* configured through the {@link UniqueCounter#setCumulative} property.
* </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 Tuples
* @category Stats and Aggregations
* @tags count
*
* @since 0.3.2
*/
@OperatorAnnotation(partitionable = true)
public class UniqueCounter<K> extends BaseUniqueKeyCounter<K>
{
private boolean cumulative;
HashSet<K> inputSet = new HashSet<>();
/**
* 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)
{
inputSet.add(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()
{
UnifierHashMapSumKeys<K, Integer> unifierHashMapSumKeys = new UnifierHashMapSumKeys<>();
unifierHashMapSumKeys.setType(Integer.class);
return unifierHashMapSumKeys;
}
};
/**
* Emits only the keys and values changed or added in a given window.
*/
@Override
public void endWindow()
{
HashMap<K, Integer> tuple = new HashMap<>();
for (K key: inputSet) {
tuple.put(key, map.get(key).toInteger());
}
if (!tuple.isEmpty()) {
count.emit(tuple);
}
if (!cumulative) {
map.clear();
}
inputSet.clear();
}
/**
* Gets the cumulative mode.
* @return The cumulative mode.
*/
public boolean isCumulative()
{
return cumulative;
}
/**
* If enabled then the unique keys is counted and maintained in memory for the life of the operator. If not enabled
* keys are counted a per window bases.<br/>
* <b>Note:</b> If cumulative mode is enabled and the operator receives many unique keys, then this operator
* could eventually run out of memory.
* @param cumulative
*/
public void setCumulative(boolean cumulative)
{
this.cumulative = cumulative;
}
}