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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.util;
import java.util.HashMap;
import java.util.Map;
import com.datatorrent.api.Context.OperatorContext;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.Operator.Unifier;
/**
* This unifier consumes hash maps, where the key is an object and the value is a number. 
* The unifier emits the minimum and maximum value for each key in a map at the end of each application window.
* <p>
* This unifier uses round robin partitioning.
* </p>
* @displayName Unifier Hash Map Range
* @category Algorithmic
* @tags numeric
* @since 0.3.2
*/
public class UnifierHashMapRange<K, V extends Number> implements Unifier<HashMap<K, HighLow<V>>>
{
public HashMap<K, HighLow<V>> mergedTuple = new HashMap<K, HighLow<V>>();
/**
* This is the output port that emits key value pairs which map keys to a minimum and maximum.
*/
public final transient DefaultOutputPort<HashMap<K, HighLow<V>>> mergedport = new DefaultOutputPort<HashMap<K, HighLow<V>>>();
/**
* combines the tuple into a single final tuple which is emitted in endWindow
* @param tuple incoming tuple from a partition
*/
@Override
public void process(HashMap<K, HighLow<V>> tuple)
{
for (Map.Entry<K, HighLow<V>> e: tuple.entrySet()) {
HighLow<V> val = mergedTuple.get(e.getKey());
if (val == null) {
val = new HighLow(e.getValue().getHigh(), e.getValue().getLow());
mergedTuple.put(e.getKey(), val);
} else {
if (val.getHigh().doubleValue() < e.getValue().getHigh().doubleValue()) {
val.setHigh(e.getValue().getHigh());
}
if (val.getLow().doubleValue() > e.getValue().getLow().doubleValue()) {
val.setLow(e.getValue().getLow());
}
}
}
}
/**
* a no op
* @param windowId
*/
@Override
public void beginWindow(long windowId)
{
}
/**
* emits mergedTuple on mergedport if it is not empty
*/
@Override
public void endWindow()
{
if (!mergedTuple.isEmpty()) {
mergedport.emit(mergedTuple);
mergedTuple = new HashMap<K, HighLow<V>>();
}
}
/**
* a no-op
* @param context
*/
@Override
public void setup(OperatorContext context)
{
}
/**
* a noop
*/
@Override
public void teardown()
{
}
}